online learning management system case study

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• Case Studies

Learning Management System: A Case Study

• Post author: Maryliya M J
• Post published: January 23, 2024
• Reading time: 11 mins read

Learning Management System: A Case Study 

Learning management systems ( LMS ) have become indispensable tools for organizations seeking to effectively deliver and manage their learning and training programs.

Table of Contents

Introduction: understanding the importance of learning management systems, definition and overview of learning management systems.

So you’ve heard the term “Learning Management System” thrown around in conversations about education and training, but what does it actually mean? Well, think of it as your very own digital tutor, coach, and organizer all rolled into one. A Learning Management System (LMS) is a software platform designed to help organizations deliver, track, and manage their learning initiatives. It’s like having a personal assistant for all your training needs, minus the coffee runs (unfortunately).

Benefits of Implementing a Learning Management System

So why should you consider implementing a Learning Management System? Besides the fact that it makes you look super tech-savvy, there are several benefits that come with it. First and foremost, an LMS provides a centralized hub for all your training materials, making it incredibly convenient for learners to access and engage with the content. Plus, it allows you to track progress, assess performance, and generate reports to measure the effectiveness of your training efforts. And let’s not forget the cost savings and time efficiency that comes with ditching traditional classroom-based training. It’s a win-win situation!

About the Client

Our client, an educational institution, faced the challenge of transitioning to online learning without a centralized platform for course delivery and student management. Recognizing the need for an efficient solution, they sought a LMS to facilitate the transition to online education. The primary goal was to create a user-friendly LMS, based on .NET, offering features for course creation, student enrollment, assessments, and progress tracking to support effective online learning. 

Project Overview

The project aimed to develop a comprehensive .NET-based Learning Management System to address the client’s challenges. The primary objectives included providing tools for course creation, student enrollment, assessments, and progress tracking to facilitate a seamless transition to online education. 

The Challenges

• Lack of Centralized Platform: The absence of a centralized platform for online course delivery and student management. 
• Transition to Online Learning: The need for a solution to facilitate a smooth transition from traditional to online education. 
• Efficient Student Management: Difficulty in managing student enrollments, assessments, and progress tracking without a dedicated system. 

The Solution

Our team of experienced developers and project managers collaborated to design and implement a comprehensive .NET-based Learning Management System. The solution included features for course creation, student enrollment, assessments, and progress tracking to support a seamless transition to online learning. 

Key Features of the LMS

• Course Creation Tools: Intuitive tools for course creation, allowing educators to design engaging online content. 
• Student Enrollment Management: Efficient tools for student enrollment, ensuring a streamlined onboarding process. 
• Assessment Modules: Versatile assessment modules to facilitate quizzes, exams, and other evaluation methods. 
• Progress Tracking: Real-time progress tracking tools for both educators and students to monitor learning outcomes. 

Technologies Utilized

Development Stack: .NET, ASP.NET MVC 

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Database: SQL Server 

Integration: Web API, REST APIs 

Responsive Design: Ensuring accessibility on various devices for a user-friendly experience. 

The Outcome

The Learning Management System was successfully deployed, resulting in a seamless transition to online learning for the educational institution. The intuitive course creation tools, efficient student enrollment management, versatile assessment modules, and real-time progress tracking contributed to a more engaging and effective online learning environment. 

Conclusion 

Our team’s expertise in developing a tailored Learning Management System using .NET technologies effectively addressed the client’s challenges. The implementation of course creation features, student enrollment tools, assessment modules, and progress tracking contributed to a successful transition to online education. 

Are you looking to transition to online learning with a robust Learning Management System? Contact us today to explore how our expertise in LMS development can transform your educational processes and enhance the online learning experience. 

1. What is LMS and why is it important?

A learning management system (LMS) is a software application that allows organizations to manage and deliver online learning and training programs. It provides a centralized platform for creating, distributing, and tracking learning materials, as well as managing learner progress and performance. LMSs are crucial in modern workplaces as they streamline training processes, enhance accessibility, promote consistent learning experiences, and enable data-driven decision-making.

2. How do I select the right learning management system for my organization?

Selecting the right LMS involves careful consideration of organizational needs, budget, technical requirements, and user preferences. It is essential to conduct a thorough needs assessment and involve key stakeholders in the decision-making process. Researching and evaluating different LMS options, seeking user feedback, and considering factors such as scalability, flexibility, integration capabilities, and support services are vital in making an informed decision.

3. What are the key steps in implementing a learning management system?

Implementing a learning management system involves several critical steps. First, it is essential to plan and organize the implementation process, including defining objectives, establishing timelines, and allocating resources. Customization and configuration of the LMS to meet specific organizational requirements are crucial. Data migration and content transfer, testing, and quality assurance are necessary to ensure a smooth transition. Finally, deploying the system and effectively communicating with users through training and onboarding processes are vital for successful implementation.

4. How can I measure the success and effectiveness of my learning management system?

Measuring the success of a learning management system involves defining key performance indicators (KPIs) aligned with organizational goals. These may include metrics such as learner engagement, completion rates, assessment scores, and feedback surveys. Collecting and analyzing data from the LMS can provide insights into user behavior, learning outcomes, and areas for improvement. Additionally, assessing user satisfaction and regularly seeking feedback can help gauge the effectiveness of the system and identify areas for enhancement.

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5 Elearning Case Studies

July 26, 2022

Darcy Dario

Take your training to the next level by reading up on some elearning case studies. The results of these studies speak for themselves, and they can also work for you and your teams. Below is a list of some elearning case studies that have seen increases in knowledge retention, participation rates, and completion rates. 

1. Tennis Australia & EdApp

Tennis Australia used elearning to train over 50 part-time and casual staff for the 2022 Australian Open. Preparing for one of the largest sports tournaments in Australia is no easy task. Ball kids aged 12 to 15 have other responsibilities like school or part-time jobs. Gathering over 380 ball kids for training and preparing training courses is a challenge, but it was possible thanks to EdApp’s cross-platform training approach.

Tennis Australia handed in its existing training material to EdApp, and EdApp’s team of course designers created different types of engaging courses in days. Training was distributed through invite links and QR codes. All Tennis Australia had to do was either print off a generated dynamic QR code to hang up in a locker room or back office, or send an invite link by SMS text or email. This allowed team members to start their training anytime and anywhere, whenever they had five minutes to spare.

When training can be accessed in bite-sized formats on smartphones, not only is it convenient but it also puts the team members in a better mindset to learn and retain their training. EdApp also used game-based lesson slides to make them feel like mini-games rather than training slides. Tennis Australia teams were able to just swipe, drag and drop, and match their way through lessons, leading to higher completion rates. 

• Case Study: Tennis Australia

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2. UNITAR & EdApp

The United Nations Institute for Training and Research (UNITAR) incorporated EdApp’s microlearning strategy to educate learners across the globe. Working with EdApp’s mission to democratize learning, UNITAR expanded its reach with elearning by giving microlessons to developing and vulnerable communities in places like Afghanistan, Iraq, and across the Middle East and Africa. 

UNITAR delivered courses on some incredible topics like gender inclusivity , peace, women’s entrepreneurship, Sustainable Development Goals, and more. All of these courses can be found in EdApp’s course library for free. They can even be accessed in even the most remote locations where the internet might be unstable or non-existent, thanks to EdApp’s offline mode feature. 

• Case Study: UNITAR

3. Pandora & EdApp

Pandora saw completion rates of over 80% with EdApp, and 90% of their employees preferred this tool over their existing elearning management system at the time. Their employees found EdApp’s mobile learning or m learning approach to online training to be suitable for their daily routines compared to other learning environments. They realized that they were always on their phones, so it almost became a daily routine to check out EdApp on their phones after scrolling through social media sites like Twitter or Facebook. 

The ability to win real-life rewards also served as a great motivator for everyone to complete their compliance training. With the application of gamification features like Leaderboards and Stars, Pandora managed to encourage their learners to continually learn as they work with them. Pandora’s sales associates also said they felt more confident in their retail and sales skills because any practical tips or techniques can be found in their pockets on EdApp’s mobile app. 

• Case Study: Pandora

4. Ryman Healthcare & EdApp

Thanks to EdApp, Ryman Healthcare was able to move from paper training to smartphone training in less than a month at an enterprise level. Elearning and mobile training helped improve knowledge retention and compliance for Ryman teams. In fact, Ryman Healthcare increased their teams’ knowledge retention by 90% and their participation rate by 100%. Approximately 93% of their workforce also found that they learned something new in their mobile training compared to their old corporate training format.

With EdApp, Ryman Healthcare was able to centralize its training and provide an unparalleled and innovative experience to over 5,000 of its team members. Ryman Healthcare created highly relevant and branded courses with beautiful instructional design about core practices such as medication, sanitation, safety regulations, and food service in a matter of days. Their admins were also able to respond to changes with real-time edits through EdApp’s easy-to-use authoring tool, and training was scaled and updated as quickly as possible. 

To ensure the high quality of care in their mission, Ryman Healthcare deployed quizzes to reinforce key information. These quizzes were created with EdApp’s built-in quiz maker, Rapid Refresh. All quiz results were also tracked, analyzed, and organized in EdApp’s analytics dashboards. 

• Case Study: Ryman Healthcare

5. Marley Spoon & EdApp

The last elearning case study is how Marley Spoon used EdApp’s microlearning tools to onboard hundreds of new employees during their unprecedented growth brought on by COVID-19. Marley Spoon found that employee training through instructor-led training in classrooms was no longer a viable option for them, so they needed a solution that can handle a large number of team members who are divided into various sub-departments. 

Using EdApp’s features like User Groups and Push Notifications has empowered Marley Spoon to easily create and share content with these unique groups. EdApp also allowed the delivery of vital information through elearning courses like food safety and procedures, all while representing Marley Spoon’s strong brand identity. 

Food businesses have to work and grow in very fast-paced environments, so having a product like EdApp that can be used for distance-learning to keep up with those changes was extremely valuable to Marley Spoon. 

• Case Study: Marley Spoon

Darcy is a learning expert at EdApp, a mobile-based training platform that helps businesses bring their training solutions to the next level with democratized learning. She has a background in content writing and specializes in eLearning and global communications. When she’s not writing SEO-optimized content, she’s trying to finish her video game backlog.

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The Virtual Classroom: Online Learning Platforms

• LMS Uses and Features
• The Next Generation LMS
• Getting the Most From an LMS

A Learning Management System (LMS) is the software colleges use to deliver classes online. It provides an interface for carrying out even the most basic tasks, like viewing course materials and submitting work. One could also think of these platforms as digital classrooms where most online learning and teaching takes place. This section explains what LMSes do, how they impact learning, and how to get the most from them.

Learning Management Systems: Uses and Features

Learning management systems are virtual hubs students and professors rely upon for nearly all online learning functions. They are a medium for communication and collaboration. Students might log in to LMSes to attend lectures and access course materials. Professors use LMSes to deliver instruction, monitor discussion, and track learner outcomes.

Because they manage most aspects of online learning, these systems define how and when students learn. For example, courses that use web conferencing tools to deliver live, interactive lectures can recreate the spontaneity of classroom discussion; those that use prerecorded lectures and forums provide a more flexible learning environment. LMSes also determine how students communicate, demonstrate knowledge, and access support. Dr. Susan Aldridge, president of Drexel University Online, discussed how course technologies impact student community and learning during an interview with OnlineEducation.com.

“In addition to traditional instructional methodologies, such as textbooks, case studies, and group projects, Drexel’s online students use a variety of interactive technologies to submit their assignments and communicate with their professors and classmates – many of which are designed to replicate what we educators call the social and cognitive presence of face-to-face learning,” said Dr. Aldridge. “For example, online discussion forums are the virtual version of in-class discussion, in that the professor poses a thought-provoking question about the unit or topic being studied as a prompt for student reflection and response, both individually and collectively. Yet because these forums are asynchronous, students also have more time to actually weigh the issues and develop their ideas, which most of them will tell you offers a distinct advantage over in-the-moment, face-to-face communication.”

Core Tools and Functions

There are several learning management systems on the market today. According to a 2015 report from Edutechnica, the most widely used commercial LMSes that year were Blackboard Learn, Brightspace, and Canvas. The leading open source systems: Moodle and Sakai. Each of these platforms offers a balance of basic features and advanced tools, yet capabilities vary. Neil Caiden, Community Director at Aprereo, makers of Sakai, discussed the field of during an interview with OnlineEducation.com.

“There is largely a functional parity in the LMS marketplace. To be competitive, LMSes need a core set of tools like a grade book, assignments tool, announcements, quizzes, chat for synchronous communications, and forums for asynchronous communications,” said Caiden. “Most competitive LMSes also have… some sort of adaptive release mechanism [to] ensure students are covering the material in a way that will help them best absorb [it].”

Common LMS Features

The following table highlights features LMSes frequently provide. Not all colleges use the same platforms in the same ways, and developers add, update, and remove tools from time to time. Readers should visit learning management systems’ official websites for a current, more comprehensive list.

Next Generation LMS: High-Impact Tools and Features

As online education grows, so does demand for more sophisticated learning technology. In 2015, EDUCAUSE and the Bill & Melinda Gates Foundation published a blueprint for designing a Next Generation Digital Learning Environment (NGDLE) that would enhance learning and adapt to higher education’s changing needs. Among its recommendations: a Next Generation LMS (NGLMS) that would make online degree programs more accessible, personalized, and effective. Technology developers like Instructure and D2L have already incorporated many of these tools into their platforms. Jared Stein, Vice President of Research and Education at Canvas by Instructure , addressed the trend in an interview with OnlineEducation.com.

“Educational technology is continually advancing, and in waves,” said Mr. Stein. He said educational technologists “push the limits of what modern technology can provide for learners” in terms of both automating instruction and enabling communication and collaboration between students.

Among these emerging tools and their potential benefits:

Learner Analytics

Learner analytics tools personalize student instruction to a degree difficult to achieve in a face-to-face environment. LMSes track individual learner behaviors—like participation, comprehension, and time on task—then compile this data for professors’ review. Instructors use this information create learner profiles, identify potential difficulties, adjust course materials, and differentiate instruction. While most online degree programs can benefit from learner analytics, this data can be especially important in self-directed programs like College for America (CfA), a division of the Southern New Hampshire University. CfA’s competency-based model lets students learn at their own pace, rendering typical courses unnecessary.

“Students connect initially and on an ongoing basis with a Learning Coach to develop the mindsets, skills, and habits of self-directed learners,” CfA Chief Learning Architect Yvonne Simon told OnlineEducation.com. “Learner analytics data [allows] us to recognize problems and risks earlier and respond sooner and more effectively.”

Adaptive Learning Technology

Adaptive learning technology puts learner analytics to immediate use in the online learning environment. Systems that integrate “dynamic” tools analyze students in real time and adjust curricula and instructional methods automatically. According to D2L’s official website , researchers at the National Scientific Research Council of Canada found students using adaptive learning tools spend an average of 30 percent less time on task and do 25 percent better on tests. D2L Vice President of Market Strategy Kenneth Chapman discussed the company’s own adaptive learning technology, LeaP, in an interview with OnlineEducation.com.

“D2L believes that LeaP represents what next-generation learning environments need to do: Be centered around the learner and their specific needs,” said Chapman. “Students can work with LeaP to understand key concepts at their own pace… [They] aren’t left behind the way so many are when every student gets the same materials in the same way, at the same time.”

Synchronous Support Features

Adaptive platforms identify online students’ needs and deliver targeted support in an automated way. Synchronous support features let students secure immediate help from live professionals. This format lets learners determine the focus of their support, which may go well beyond virtual office hours and eTutoring services. A growing number of online colleges use synchronous support tools to deliver academic, career, research, and technical services over the Internet. Some, like CfA, make these tools accessible night and day.

“A synchronous online tutoring service is now available to students 24/7 for learning concerns that [advisors] may not be able to handle in a written back and forth,” said Simon. “Tutors can help students improve skill gaps or provide the additional scaffolding or practice necessary to move forward.”

Other Advanced Tools

The features highlighted here represent only a fraction of those emerging in the LMS market. The following list offers a snapshot of other advanced tools.

• Gamification: Native or instructor-designed games to enhance engagement and knowledge.
• Mobile Tools: Smartphone and tablet-friendly apps and features that allow students to access course technology on-the-go.
• Personalized Learning Paths : Functionality that allows students to choose from various learning media and whether instruction is delivered synchronously or
• Advanced Social Media : Platform-based social features that allow students to create detailed profiles, post updates and links on personal walls, follow other students’ updates and activity, and more.
• Career and Academic Assessments : Tools to help students identify personal learning styles, plan courses more efficiently, and set career goals.

Readers can visit Next Generation Learning Challenges online to explore additional breakthrough learning technologies and models.

Expert Advice: Getting the Most from an LMS

Learning management systems grow more sophisticated over time, not necessarily more complicated. D2L’s Kenneth Chapman told us developers go to great lengths to ensure its Brightspace LMS requires no advanced plug-ins or technical knowledge “that can quickly get in the way of [students’] learning.” Canvas’ Jared Stein said Instructure also prioritizes ease of use over quantity of features. This user-friendly environment is important: students who know the technology can work through online programs efficiently. In order to really succeed in them, however, they must also learn to use LMSes effectively .

Educational technology experts we interviewed offered advice for maximizing the benefits of online learning systems. Their recommendations include:

Match learning tools with learner tendencies

According to Jared Stein, online learner success begins with knowing the technology and themselves. He told OnlineEducation.com that students should get into the learning environment early to identify the features most likely to keep them connected and engaged while fostering good learning habits.

“[Students] need to self-assess their own strengths and weaknesses in order to be best prepared to succeed online, as in any learning environment,” said Stein. “Are you a procrastinator? Are you able to engage easily with your classmates? Do you struggle using online technology?”

Many online colleges allow students to test-drive platforms before courses begin. While most LMS developers offer free trials and demos, one should keep in mind colleges frequently add or omit features.

Use LMS features that provide structure and community.

Students new to online learning may wonder if they can stay on task and connect with peers without a physical classroom. Learning management systems have tools specifically designed to recreate the structured, interactive learning environment they would expect from face-to-face courses. It is up to students to use these features—something D2L’s Kenneth Chapman addressed with OnlineEducation.com.

“If I had to give advice to students, it would be to take advantage of personal management tools—task lists, calendars, group spaces, integration with Google, Dropbox, etc.—to make sure they are getting the most out of their environment, and the opportunities to collaborate and learn from other students,” said Chapman.

Students can contact colleges’ technology offices to learn what features online programs use, and how.

Start strong and stay the course.

Even the most intuitive LMSes have a learning curve, and more follow as schools implement new features. Colleges occasionally switch systems entirely to improve learning outcomes and expand online programs. Though mastering these tools is essential for student success, some students underestimate their value or assume they can catch up later. CfA’s Yvonne Simon suggests this is a mistake.

“[It’s] tempting to put things off, however, this strategy is not the most effective,” said Simon. “It is better to dive in, commit to your program, and figure out how everything works in the first month.”

Tackling these challenges right away can do more than minimize stress down the line. According to Simon, students who start online programs “strong” usually perform better in them.

“Early progress is highly correlated with ongoing success,” said Simon, though she noted students should not expect everything to come right away. “Put in effort; reduce the fear; develop a growth mindset; listen to feedback from peers, [professors, and advisors]; engage in discussions and challenges that are meaningful and interesting to you; reflect; go again,” she said. “You’ll get there!”

LMS Data: 3rd Annual Update , Edutechnica

The Next Generation Digital Learning Environment: A Report on Research , Malcolm Brown et al ., EDUCAUSE Learning Initiative, EDUCAUSE

D2L Launches the Next Generation of Brightspace and Strives to Accelerate the Nation’s Path to 60% Attainment , Distance2Learn

Next Generation Learning Challenges

Online Education Guide

• Expert Advice for Online Students
• Frequently Asked Questions About Online Education
• Instructional Design in Online Programs
• Online Student Trends and Success Factors
• Online Teaching Methods
• Student Guide to Understanding and Avoiding Plagiarism
• Student Services for Online Learners

• Open access
• Published: 14 October 2020

An analysis of users’ preferences on learning management systems: a case on German versus Spanish students

• Hasan Tinmaz 1 &
• Jin Hwa Lee   ORCID: orcid.org/0000-0001-6205-0634 2  

Smart Learning Environments volume  7 , Article number:  30 ( 2020 ) Cite this article

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7 Citations

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The recent advancements in information and communication technologies have altered instructional contexts and re-shaped them into smart learning environments. One of the most common practices of these environments are learning management systems (LMS) where the learners and instructors utilize a software platform to fulfill, support and manage instructional activities around predefined objectives. Successful implementations of LMS have brought a variety on its usage from different cultures, genders, age groups or schooling levels. Hence, this study focuses on understanding the role of culture on LMS design, in along with the effects of gender, age and school year variables. The study participants were German ( n  = 83) and Spanish (n = 83) university students attending a fully online course offered by a South Korean university. At the end of the course, the students were asked to fulfill a survey on effective LMS design by pointing which features of LMS were more important for them. The survey included twenty questions on four major design factors; content management (six items), ease of use (five items), communication within LMS (four item) and screen design (five items). The dataset was analyzed by non-parametric statistical techniques around four variables on four dimensions (and their related survey questions). The most important result was insufficiency of one unique LMS design for all students which demonstrates the necessity of student demographics tailored smart systems. Additionally, age and gender variables were not making significant differences on LMS design as much as culture and school year variables. The study also revealed that while German students would appreciate goal-oriented individual learning, Spanish students would value process-oriented group learning with active communication. Furthermore, many features of LMS were highly valued by the freshman students more than other levels. The paper discusses these variables with possible explanations from the literature and depicts implementations for future design practices.

Introduction

Teaching and learning processes have continuously evolved with technological advances. Correspondingly, the rapid development of information and communication technologies has shaped traditional classrooms into smart learning environments. For instance, sharing learning materials online has enabled the learners to study whenever and wherever they want. Online attendance marking systems have also dramatically reduced the amount of time spent by the instructors to check their students’ attendance and thus increased the actual teaching and learning time. Moreover, the assignments or examinations can also be delivered online with appropriate instructions and feedback to support learning outside of scheduled classes. Likewise, there are many other ubiquitous combinations of pedagogical practices supported or facilitated with recent technologies.

Due to increasing number of available smart learning features, it has become indispensable to manage these features for effective and organized instructional processes. Currently, it is commonly seen that educational institutes operate their own Learning Management Systems (LMS) and provide various online smart learning features for a diverse group of students. An LMS is known as a web-based system that possesses an extensive range of pedagogical and course administration tools (Yakubu, 2019 ). Through these educational tools, LMS can facilitate group chats, discussions, document sharing, assignment submission, quizzes, grading and course evaluations (Bove, & A.,, & Conklin, S., 2020 ). Moreover, LMS has a potential to serve students with diverse backgrounds including culture, age or gender.

Previous studies have focused on identifying various learning features of LMS that can influence students’ learning outcomes. However, it seems that the results of previous studies were controversial with inconsistent learning outcomes of the students. One possible reason can be due to the lack of thorough understanding on students’ learning preferences, needs and diverse backgrounds. As the essence of an LMS is to facilitate self-regulated learning (Douglas & Alemanne, 2007 ), there is a need for analyzing and understanding users’ preferences when applying LMS in educational contexts which will serve various learning needs of the students.

As such, this study aims to analyze key factors that can influence users’ preferences on LMS use and gain a deeper understanding of how to maximize the learning outcomes through LMS by considering four essential independent variables; culture, gender, age and school years. The results of this study will contribute to a successful implementation of smart learning in class.

Literature review

The existing learning management systems literature has identified four major factors that need to be considered for successful implementation of LMS in order to fulfill students’ learning needs and expectations. In this part, four major factors which were yielded from the conclusions of the existing literature review were elaborated. These four factors which are relevant with LMS user experiences are culture, gender, age, and school year.

Cultural factor

When the researchers conducted literature review and analysis, it was unfolded that previous studies highlighted the importance of cultural factor in online learning. According to Hunt and Tickner ( 2015 ), culture is defined as “…a complex and multi-dimensional construct that represents the shared values, beliefs, and basic assumptions of groups of people. It includes elements such as language, customs, social behavior, and religion, and it influences how individuals relate to the world…” (p. 27). One of the most widely used models for understanding characteristics of cultural behaviors was developed by Hofstede ( 1986 ). In this model, he highlighted four dimensions of cultural behaviors or characteristics; ‘small versus large power distance’, ‘individualism versus collectivism’, ‘masculinity versus femininity’, and ‘tolerance of uncertainty and ambiguity versus uncertainty avoidance’.

First of all, power distance is defined as “the extent to which the less powerful members of institutions and organizations within a country expect and accept that power is distributed unequally” (p. 61) (Hofstede, Hofstede, & Minkov, 2010 ). For example, learning characteristics in high power distance cultures are more oriented towards one-way, directive, and instructor-based learning (Swierczek & Bechter, 2010 ). The second dimension, individualism versus collectivism, as mentioned by Mercado, Parboteeah, and Zhao ( 2004 ), means “the tendency of members of a society to act as individuals or members of groups, and to which a culture values individual versus collective achievement or well-being” (p. 185). It can be seen that individualistic culture is more results oriented whereas collective culture is more consensus and discussion oriented (Swierczek & Bechter, 2010 ).

In terms of the third dimension, masculinity versus femininity, a masculine culture shows clearly distinct emotional gender roles for men and women whereas feminine culture has overlapped emotional gender roles (Hofstede et al., 2010 ). Hence it seems that the learning characteristics in masculine society are achievement and competition focused rather than being affiliation oriented (Swierczek & Bechter, 2010 ). Lastly, uncertainty avoidance is defined as “the extent to which the members of a culture feel threatened by ambiguous or unknown situations” (p. 191) (Hofstede et al., 2010 ). With high uncertainty avoidance, guided and structured learning is preferred over independent and open-ended learning (Swierczek & Bechter, 2010 ).

Since our study involves German and Spanish students, their cultural differences were reviewed by using the four-dimensional model of Hofstede (Hofstede et al., 2010 ). It was noticed that Germany is a less power distant country than Spain and their relative power distance scores were 35 and 57 respectively. Thus, it is expected that Spanish students are more familiar with a hierarchical learning environment than German students. In terms of individualism versus collectivism, Germany and Spain obtained individualism scores of 67 and 51 respectively showing their different cultural views on individual versus group. It is expected that German students are more oriented towards individual learning and achievement. On the other hand, Spain’s score was the second lowest among the European countries reflecting higher cultural tendency towards collectivism. When masculinity scores are compared, Germany appears to be a masculine society while Spain is a feminine society with relative scores of 66 and 42 respectively. It implies that German students value high performance and competition-based learning whereas Spanish students prefer harmony and non-competitive learning. Finally, uncertainty avoidance scores for both countries seem generally higher than the average. The relative scores for Germany and Spain were 65 and 86 respectively. As Spain scored higher than Germany, it is predicted that Spanish students will be more reluctant to experience changes, ambiguities, and undefined situations in learning.

In addition to identifying learners’ characteristics, the four-dimensional model of Hofstede can be also used to analyze LMS acceptance levels in educational institutes. For example, Asunka ( 2016 ) identified cultural factors responsible for low LMS acceptance levels of university faculty members. Through a participatory action research approach, the study engaged 10 faculty members for one semester. Among the four cultural dimensions of Hofstede’s model, ‘power distance’ was identified as the most influencing factor followed by ‘individualism versus collectivism’ and ‘uncertainty avoidance’. Although this study applied the Hofstede’s model on instructors rather than students, it highlighted significance of cultural factors in LMS implementation. In addition, Tarhini, Hone, Liu, and Tarhini ( 2017 ) revealed that these four cultural dimensions play an important role in students’ technology acceptance level by influencing subjective norms. The study collected data from 569 undergraduate and postgraduate students in Lebanon using e-learning tools.

Although the Hofstede’s model was not directly applied, previous studies have also reported the impact of cultural factors on students’ learning performance and behaviors. For example, Liu, Liu, Lee, and Magjuka ( 2010 ) investigated the impact of cultural differences on international students’ learning performance. This study involved international students from India, China, and Russia who attended an online Master of Business Administration (MBA) program. Through this study, cultural factors including language, communication tool use, plagiarism, time zone differences, and a lack of multicultural contents were suggested as potential barriers for online learning that can affect students’ learning performance. Similarly, cultural influences on learning behaviors were reported by Swierczek and Bechter ( 2010 ). Their study performed qualitative and quantitative analyses of e-learning behaviors of participants from South Asia, East Asia, and Europe. The study results indicated that European students tend to be individualistic and prefer learning by induction whereas South and East Asian students value affiliation and avoid high uncertainty in learning. In addition, East Asian students appeared to be more active and involved in e-learning. The study suggested several cultural factors responsible for different learning behaviors which included language, technology, the role of instructor, and the level of interaction required. In other words, LMS designing and implementation should cater for various learning needs of students that can arise due to different cultural backgrounds.

The existence of cultural factors often creates cultural barriers to limit the potentials of online learning facilitated by LMS. Thus, it is inevitable to identify possible solutions to overcome these barriers. As mentioned above, Asunka ( 2016 ) reported existence of cultural barriers among the instructors that can trigger their anxiety, uncertainty, and indifference towards LMS usage. However, identification of responsible cultural dimensions, regular discussions, and monitoring the outcomes of LMS implementation throughout the semester made positive changes in the instructors’ views on LMS. It can be noted that identification of cultural variables, along with other possible variables, plays a critical role in the outcomes of LMS usage. To overcome cultural barriers, Parrish and Linder-VanBerschot ( 2010 ) investigated the influence of cultural dimensions in online learning, which involved social relationships, epistemological beliefs, and temporal perceptions. Using the cultural dimensions of learning framework as a diagnostic tool, possible solutions to overcome the challenges of multicultural learning were suggested as increased awareness, culturally sensitive communication, modified instructional design processes, and efforts to accommodate critical cultural differences.

Gender factor

Apart from cultural differences, another important factor drawn from the literature review conclusions is the gender difference. Previous studies have reported different characteristics of male and female students involved in online learning. According to a study conducted by Cuadrado-García, Ruiz-Molina, and Montoro-Pons ( 2010 ), male and female students showed significant differences in the assessment and use of e-learning activities. This study involved a bilingual e-learning project between two European universities. The study revealed that female students achieved better final grades than male students with significantly higher resource views on LMS. Furthermore, male students needed more assistance with the online software. These results also support the argument from Bruestle et al. ( 2009 ) who stated that e-learning favors female students due to its flexible and interactive learning approach. Gender difference is also evident in general internet usage patterns (Lim & Meier, 2011 ). Out of four general internet use reasons; ‘social networking’, ‘personal knowledge’, ‘formal learning’, and ‘entertainment’, the males focused more on entertainment whereas the females were engaged with social networking. This corresponds to the study results obtained by Adamus, Kerres, Getto, and Engelhardt ( 2009 ). Their study indicated that female university students focused more on communication and cooperation with openness to other’s proposals. After all, such characteristics of female students highly influenced their learning outcomes in an online training program.

On the other hand, the impact of gender difference was questioned by several studies. Astleitner and Steinberg ( 2005 ) reported that gender differences in web-based learning were insignificant. This study conducted a meta-analysis of fourteen empirical studies related to web-based learning. One of the possible explanations for such results can be that certain features of web-based learning might decrease the gender gaps in cognitive process of information. Another explanation provided in their study was that gender differences are only observed when strong accumulating effects are given during the learning process. In addition, Al-Azawei ( 2019 ) only discovered slight gender differences in LMS acceptance levels. This study involved 302 undergraduate students in Iraq and utilized the extended Technology Acceptance Model (TAM) to predict learners’ perceptions towards LMS adoption. It was found that female students were more concerned with ease of use, whereas male students were more concerned with technology usefulness. However, the differences were not significant. Thus, continuous research on gender effects should be carried out for clarification.

Age and school year factors

Although cultural factors and gender differences were suggested to play an important role in online learning and LMS implementation, previous studies have also shown that students’ age can influence the learning outcomes. According to a study conducted by McSporran and Young ( 2001 ) in a first-year introductory course for the computing systems bachelor degree, older students are more motivated to learn, better at communicating online, and at organizing their learning schedules. In the same study, female students showed better performance than male students did. Hence, both gender and age factors were related to students’ learning outcomes.

As drawn from the literature review, four major factors could affect the dynamic process of smart learning through the operation of LMS. In addition, LMS requires students’ active participation and engagement with learning because they often need to access online course materials without simultaneous prompting or instructions (Beer, Clark, & Jones, 2010 ). This implies that students who largely depend on substantial instructor direction may struggle with LMS, as it demands a certain level of self-discipline (Douglas & Alemanne, 2007 ). You ( 2016 ) also verified the importance of self-regulated learning in online courses based on LMS data measures from 530 college students. Thus, careful examinations of each influencing factor on LMS should be carried out in order to induce self-regulated learning and maximize the learning outcomes. As such, our study focuses on four important variables; ‘cultural dimension’ along with ‘gender’, ‘age’, and ‘school year’. By analyzing students’ preferred LMS functions or design, in relation to these four variables, the study results will extend current understanding of online learner preferences and provide useful guidance for smart learning environments, facilitated by LMS.

Study sample and context

Fraenkel, Wallen, and Hyun ( 2012 ) have categorized case studies as intrinsic (detailed description of one context), instrumental (focusing on a case for comprehending a more detailed phenomenon) and collective (several different or similar cases scrutinized simultaneously), which may include “…one individual, classroom, school, or program…” (p. 435). Based on that description, this study falls under the definition of instrumental case study where the researchers have had an interest in understanding more than how some students value the importance of certain tools/elements for learning management system design. The researchers have been interested in a larger goal of understanding the role of the cultural dimension for learning management system design. Hence, the researchers who conducted this case study; have been more interested in revealing conclusions that could be implemented beyond a particular case than it is. Thus, this study aims to check the following hypotheses which were derived from the conclusions of the profound literature review:

There is a statistically significant difference on each item of learning management design survey with respect to students’ cultural background on being German versus Spanish.

There is a statistically significant difference on each item of learning management design survey with respect to students’ gender.

There is a statistically significant difference on each item of learning management design survey with respect to students’ age.

There is a statistically significant difference on each item of learning management design survey with respect to students’ school year.

The participants of this case study were comprised of German ( n  = 83) and Spanish (n = 83) university students who were attending a fully online ‘Management of Information Systems (MIS)’ course provided by a South Korean university in Fall semester of 2018. Both German and Spanish students utilized the same LMS which was delivered via the university in South Korea. The course took fifteen weeks and one of the researchers of this study was the course instructor of the online course. This course introduces students the basics of modern management information systems and how they have become an integral part of the global operations of the digital companies. The course begins with discussions on the potential of information systems and technologies in improving operational efficiency of common business processes and how they could be managed effectively. Information technology infrastructure, databases and telecommunications are covered earlier than digging deeper into enterprise, supplier and customer applications. Having gained some knowledge of a variety of MIS applications, the students are equipped with practical skills for selection, acquisition and deployment of different information systems, for which the course uses several case studies and exercises.

At the time of data collection, the students were already using the same Korean university LMS together for a month and these students used different LMS (similar features) in their educational lives previously. Additionally, Learning Management Systems (LMS) was one of the management information system applications within the course topics. Hence, the researchers safely assumed that the participants of these study have had enough knowledge on making personal judgement on the survey items.

At the end of week four, the students were given the prepared survey as a voluntary activity to be filled before week four. As Table  1 shows, majority of the participants (66%) are in 18–25 age group and there is nearly an equal gender representation (53% male and 47% female) for the participants.

Although there was an equal number of students for each country ( n  = 83 for both Germany and Spain), there was diversity in school year (since the course was open for the registration to all school levels/years). Table  2 demonstrates that dominant groups were either freshman students (27%) or master students (28%).

Study instrument

The study instrument consists of four demographics related questions which were drawn from the literature review conclusions; gender (male or female), age (under 18, 18–25 or above 25), country (Germany or Spain) and school year (freshman, sophomore, junior, senior or master student). Afterwards, the researchers utilized the learning management design criteria of course textbook written by Laudon and Laudon ( 2018 ) to their survey (Table  3 ). Each category was marked on a five-point Likert scale from ‘not important at all’ to ‘very important’ where the students were grading the importance of each element for a learning management system. When the survey had been finalized, it was uploaded to a survey webpage and kept online for a week. The online survey was five webpage long where the first page was about students’ four demographics and the rest was dedicated to each dimension in Table 3 separately.

Data analysis

The researchers conducted two crosstab analyses on the final dataset; ‘age versus gender’ and ‘school year versus country’. Afterwards, the researchers applied normality test to the dataset on SPSS. Twenty items were checked against four demographic variables whether they show normal distribution on their levels. Both the Kolmogorov–Smirnov and Shapiro–Wilk tests rejected the null hypothesis of a normal population distribution for all four demographics ( p  = 0.05) (Denis, 2019 ). Therefore, the researchers decided to continue with non-parametric statistical techniques.

Additionally, the dataset was checked for its reliability. Twenty items were checked with one hundred sixty six participants and Cronbach alpha was calculated as 0.84, which shows a good score for reliability. Since Cronbach’s alpha does not assume normality (Sheng & Sheng, 2012 ), there was no issue of use for that not-normally distributing dataset.

The researchers calculated the mean scores and standard deviations for twenty items in total, for German students only and for Spanish students only. The results were tabulated and commented accordingly. After these fundamental statistics, the comparison tests were conducted. First of all, three variables (age, gender and country) were checked for each of these twenty items by using Mann Whitney U tests. The significant items were reported with their comments. Lastly, Kruskal Wallis H tests were conducted on twenty items for school year variable with its five levels; freshman, sophomore, junior, senior and master students. The significant items were reported and mentioned accordingly.

The total mean scores and standard deviations of each of the twenty design items were presented in Table  4 ( n  = 166). Additionally, the mean scores and standard deviations were calculated separately for German students ( n  = 83) and Spanish students (n = 83) and tabulated in Table  4 . Within the ‘content management’ dimension, the highest means were observed for private storage (M = 3.82) and online whiteboard (M = 3.59). Integrated offline mode (M = 3.66) and calendar integration (M = 3.59) were revealed as the most valued items of ‘ease of use’ dimension. The dimension ‘communication within the LMS’ was calculated over 3.00 for each of its items; respectively chat system (M = 3.54), notifications (M = 3.42), discussion forum (M = 3.33) and survey feature (M = 3.24). For the last dimension of screen ‘design’, the participants mostly valued marking files/courses as their favorites (M = 3.82) and choosing a personal layout (M = 3.78).

When the mean scores of each country were considered, it is easy to see that many design items were valued differently. Thirteen items were more valued by Spanish students and seven items were more valued by German students. The higher mean score for each item was highlighted grey in Table  4 . The simple mean score differences may not show the real statistically differentiating items. Therefore, the comparison tests of Mann-Whitney U tests and Kruskal Wallis H tests were run for better understanding.

First Mann-Whitney U tests were conducted for gender variable (male versus female) on twenty items of learning management system design. The only significantly differentiating item was appeared on the first item of ‘ease of use’ dimension; ‘allowing downloading multiple files’ ( U  = 2811.500, p  = 0.037). The mean rank demonstrated that male students (mean rank = 90.55, n  = 88) valued the downloading multiple files feature more than female students do (mean rank = 75.54, n  = 78).

Other Mann-Whitney U tests were implemented for age variable (18–25 versus above 25) on twenty learning management system design items. The results yielded only one single significantly differentiating item which belongs to ‘communication within the LMS’ dimension; ‘survey feature’ ( U  = 2450.000, p  = 0.023). The mean rank for ‘above 25’ group ( n  = 56) is higher than ‘18–25’ age group ( n  = 110); 94.75 and 77.77 respectively.

The last Mann-Whitney U tests were run for the country variable (Germany versus Spanish). As Table  5 demonstrates, sixteen items were significantly differentiated around country variable. Among these sixteen significantly differentiating items, only four design items’ mean ranks were higher for German students; ‘uploading assignments’, ‘accessing learning materials’, ‘learning materials are available before lectures’ and ‘simple navigation structure’. The Spanish students’ mean ranks were higher than German students for the other twelve design items; ‘comment feature’, ‘online whiteboard’, ‘private storage’, ‘easy enrollment of subject’, ‘integrated offline mod’, ‘calendar integration’, ‘chat system’, ‘discussion forum’, ‘survey feature’, ‘notifications’, ‘choose a personal design/layout’, and ‘mark files/courses as favorite’.

The last comparison tests were conducted on the school year variable for twenty design items separately. The Kruskal Wallis H tests results unfolded eleven significantly differentiating design items around the school year variable; ‘comment feature’, ‘online whiteboard’, ‘private storage’, ‘allowing downloading multiple files’, ‘learning materials are available before lectures’, ‘calendar integration’, ‘discussion forum’, ‘survey feature’, ‘notifications’, ‘choose a personal design/layout’ and ‘mark files/courses as favorite’. Although the number of students in each school level differs from each other, the mean ranks could still be used to get a deeper understanding for school years on each design item. Table  6 shows that except ‘learning materials are available before lectures’ design items where the master students had the highest mean rank, freshman students’ mean ranks were the highest for the other ten significantly differentiating design items.

Discussion and conclusion

As LMS has become a crucial element of different instructional contexts, the efforts trying to unfold its successful design factors have been studied more than ever before. The previous studies enlisted four essential success factors for LMS implementations. Therefore, this study aims to understand LMS design from a cultural point of view in additional variables of gender, age and school year. The general results clearly demonstrated that one unique LMS design will not be useful and appreciated by the students all the time. In that sense, other than setting up a commonly designed LMS on their school smart systems, the managers/instructors should prefer a more user centered approach where the LMS will be tailored according to their students’ demographics (especially the variables discussed in this study).

When German and Spanish students were compared with non-parametric statistical tests, it seemed that Spanish students generally more valued various features of LMS. In particular, Spanish students claimed that ease of use and communication within the LMS are important features for their learning. In the content management section, Spanish students also valued comment feature and online whiteboard as evident in the mean scores and the Mann-Whitney U test results. This implies that Spanish students would prefer learning through communication. Hence, the instructional designers or practitioners should offer more interactive and communicative opportunities to Spanish students on their LMS.

On the other hand, German students have put a strong emphasis on LMS features such as ‘uploading assignments’, ‘accessing learning materials’, ‘learning materials are available before lectures’ and ‘simple navigation structure’. Most of these features are directly related to the final grade and individual learning. Such different characteristics of German and Spanish students could affect their learning behaviors in a way that German students would value goal-oriented individual learning and Spanish students would value process-oriented group learning with active communication. This gives clues to the instructors while designing their instructional activities on LMS. For instance, Spanish students should be directed toward more group assignments whereas German students would appreciate more individual self-studies and exercises.

In fact, this study results are relevant to a four-dimensional model of cultural differences proposed by Hofstede ( 1986 ). Based on Hofstede’s model, the individualism-collectivism dimension provides a possible explanation for different characteristics of German and Spanish students. As described by Mercado et al. ( 2004 ), individualism values personal achievement or well-being of an individual, which suits with the characteristics observed from German students. On the other hand, collectivism highlights group achievement or group actions, which can match with the characteristics shown by Spanish students. These findings can also explain both countries’ different cultural dimension scores on individualism versus collectivism as mentioned in the literature review (Hofstede et al., 2010 ). As German students highly valued two LMS features, ‘accessing learning materials’ and ‘learning materials are available before lectures’, it implies that German students want to be prepared for their classes. Such preparation might be related to uncertainty avoidance for what they will learn in class. If so, it will contradict the results obtained by Hofstede et al. ( 2010 ) as Germany’s uncertainty avoidance score was lower than Spain. Therefore, the fundamental reason for accessing learning materials should be clarified to further explain such contradictory results. The remaining two cultural dimensions, power distance and masculinity, could not be related to our study results as students’ perspectives on hierarchical learning and competition-based learning were not assessed. Despite the cultural differences, it should be also noted that both groups of students similarly valued certain features of LMS such as reviewing grade, downloading multiple files, language selection, and access through mobile application. In both cultures, the LMS features related to users’ convenience seem equally important.

In this study, significant gender differences were not observed. The only difference observed was that male students valued downloading multiple files feature of LMS more than female students, which could mean male students favor efficiency when using LMS. As suggested by Astleitner and Steinberg ( 2005 ), LMS features might actually reduce gender differences compared to the offline class environments or there were not enough accumulating effects to induce gender differences in our study. Another possible explanation could be that gender differences are created due to the learning materials or course contents rather than LMS itself. Further elucidation on gender effect is required in future studies.

In terms of the age variable, this study results indicated that higher age group students more valued communication within the LMS, in particular, survey feature. This result is also supported by McSporran and Young ( 2001 ) as their study showed better communication skills from older students. As a learner’s age increases, it might also develop online/offline communication skills and thus learning through communication becomes a preferable option. However, it should be noted that communication features of LMS were not necessarily valued by students with the higher school year. In other words, the school year variable does not induce the same effect on the learning process or learning preference as the age variable does. Therefore, instructors should not assume similar learning behaviors between the higher age group and higher school year group when designing and implementing an LMS.

When the school year variable was examined, numerous features of LMS were highly valued by the freshman students. One of the possible reasons would be an exposure to new smart learning environments. As freshman students need to adapt in the university education system, they need to pay a particular attention to each element of an LMS. Once the adaptation period is over, the significance of LMS features might be reduced and students will gradually utilize specific LMS functions that are directly relevant to their learning process. Indeed, each feature of LMS was valued differently in each school year apart from the freshman period. It is interesting to note that the master students highly valued availability of the learning materials before lectures. This possibly indicates that postgraduate programs emphasize more on pre-class learning, which is often observed in learner-centered environments.

Our study explored various features of LMS valued by different groups of students based on their cultural background, gender, age, and school year. Out of the four hypotheses tested in our study, the first (cultural background) and the fourth (school year) hypotheses were validated whereas the second (gender) and the third (age) hypotheses were partially validated. Although not every hypothesis was fully validated, there are several important recommendations for instructors or education providers based on our study results. First of all, it is advised that future LMS design should consider the four-dimensional model of Hofstede ( 1986 ), especially the individualism-collectivism dimension to cater for various learning needs of international students. Understanding the effect of culture on LMS design, delivery and implementation will provide more user satisfaction leading toward more success stories in education. Secondly, learning materials on LMS should be checked for possible inducing factors of gender differences. In that sense, the instructors should be informed about gender bias issues. Thirdly, more communication features of LMS will be effective in the courses with higher age groups. Lastly, LMS can provide more guidelines or assistance for freshman students and create a wide range of learner-centered environments for postgraduate programs.

Since this study was delimited to two specific cultures, prospective studies must focus on adding more variety to similar culture based design studies. In order to gain a further understanding of LMS and smart learning process, future studies should investigate more various cultural groups and their learning characteristics. Moreover, due to the sample limitation of this study, the researchers highly recommend to conduct prospective studies with larger sample size to analyze group with parametric techniques. If possible and available, students’ LMS logs (including the most commonly used tools) should be analyzed for a better understanding of LMS tools and their usage by different cultures. Similarly, different variables examined in this study could be compared with assessment or examination grades to identify which LMS features can maximize the learning outcomes for a particular group of students. Additionally, qualitative interview schedules should be integrated into culture based studies to understand its effects in depth.

Since this study implemented the convenience sampling which might have the disadvantage of bias, the similar studies should be replicated in different courses or universities to check if the observed results are due to onetime occurrence. Moreover, LMS has also been utilized in business world where different companies' training activities are supported by these smart systems. In that sense, the research in business world could assist us to understand the deeper influence of culture.

The instructional stakeholders must always remember that future studies on culturally sensitive LMS design will contribute to the achievement of better learning in the waves of upcoming digital revolution era.

Availability of data and materials

The corresponding author declared here all types of data used in this study available for any clarification. The author of this manuscript ready for any justification regarding the data set. To make publically available of the data used in this study, the seeker must send an email to the mentioned email address. The profile of the respondents was completely confidential.

Abbreviations

• Learning management systems

Master of business administration

Management of information systems

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Tinmaz, H., Lee, J.H. An analysis of users’ preferences on learning management systems: a case on German versus Spanish students. Smart Learn. Environ. 7 , 30 (2020). https://doi.org/10.1186/s40561-020-00141-8

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DOI : https://doi.org/10.1186/s40561-020-00141-8

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Digital Learning Management Systems Case Study: Instructors' Perspective

Introduction.

Digital Learning Management Systems (DLMSs) are widely used at universities for streamlining teaching and learning tasks, as they effectively manage learning tools and resources for user participants (students and teachers) (Kats, 2010; Unwin et al., 2010). A phenomenal revolution has occurred in the university education over the past decade as a result of digital learning management systems, as they have been found to significantly benefit students’ understanding and academic progress (Alnsour, Muhsen, Dababnah, Eljinini, & Barhoum, 2011). DLMS applications are multifunctional, enabling students to have ubiquitous access to systems, watch lectures, download course materials and upload assignments online (AlQudah, 2014).

The latter provides convenience to students as never before and is conducive to study. To have efficient functioning of a DLMS, it is necessary to enable well-established links between data that is indexed by search engines, and web bots that connect and bind information together (Babić, 2012). DLMS empowers users and offers a greatly enhanced user experience overall (McIntosh & Torres, 2014; Phillipo & Krongard, 2012).

A DLMS greatly simplifies learning and deliverables, such as tests, assignments and other forms of assessment, with the use of multimedia applications that incorporate team learning through dynamic, real time, documented collaboration (Potter & Thompson, 2019). Some examples include the use of chat, file transfer and assessment applications. A DLMS creates new platforms for the active learner and results in greatly expanding the learning curve. To fully understand the nature and implications of different DLMSs, it is vital to explore exactly what the DLMS context is (Ahmad, Chinade, Gambaki, Ibrahim, & Ala, 2012). This study is based on the most recent and related literature explaining various scenarios where DLMSs address learning issues in the digital environment in a way that was not possible in the previous confines of print logics.

The research contribution is based on the higher educational sector at Jordanian universities. Research zone has applied in Jordanian universities, which are an educational institutions with a good reputation and each university has several branches across Jordan. The university management recognises the importance of IT for educational purposes; in its initial stages, it created an Information Technology Centre for supporting and train the users on DLMS.

This research study aims to identify the factors that impact on the acceptance of the DLMS at Jordanian universities. This research also investigates the acceptance and use of DLMS at Jordanian universities. It also focuses on the factors influencing acceptance of the DLMS at these Jordanian universities. However, the university management seeks, through related parties, to achieve the following goals:

Provide all possible means of modern machine technologies (servers- information centre-operation centre-computer workshops-television digital learning management system such as Blackboard or Moodle) and necessary operating systems.

Guarantee the application of information systems.

Automate (machines of procedures and models) all information tasks.

Take advantage of networks affiliated with the university, such as email services, banner system and television transmission of lectures and activities.

Provide an environment suitable for spreading digital learning management system and applications and related training.

Achieve high levels of information security from the source to the users.

Safety of procedures and policies that guarantee the provision of electronic services.

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Online Examination – A Case Study

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• Viktorija Florjančič   ORCID: orcid.org/0000-0002-3952-2581 7  

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1830))

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The COVID-19 lockdown forced higher education institutions to move all study activities to distance, including the examinations. The remote examinations raised several challenges, mainly related to exam credibility. The survey carried out among business school students showed that, if appropriate exam protocols are put in place, the examinations taken remotely are on a par with those taken in person. Taking remote exams is stressful for students and for teachers, but during the lockdown we found advantages of doing exams online. If remote examinations raise questions of authentication and identification, online exams taken in a computer classroom are more sustainable (no paper used), economical (easier to prepare and easier to revise), and more suitable for students nowadays, for whom handwriting might be a real challenge. E-examination established the same exam circumstances for all students.

• online exams
• digitisation
• higher education

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At the beginning the use of the platform was free of charge; from January 2021 its usage is payable. The cost of using the platform was €4 per student per year, which was acceptable.

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In the last year, the platform has offered the possibility to connect the exam with Google Classroom. This feature is still in the beta version.

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Viktorija Florjančič

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Florjančič, V. (2023). Online Examination – A Case Study. In: Uden, L., Liberona, D. (eds) Learning Technology for Education Challenges. LTEC 2023. Communications in Computer and Information Science, vol 1830. Springer, Cham. https://doi.org/10.1007/978-3-031-34754-2_6

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