Learning Management System System Research Articles

The Impact of AI and LMS Integration on the Future of Higher Education: Opportunities, Challenges, and Strategies for Transformation

The integration of artificial intelligence (AI) and learning management systems (LMS) is revolutionising higher education, offering unprecedented opportunities for personalised learning, adaptive assessments, and data-driven decision-making. This review investigates the impact of AI–LMS integration on educational quality, student success, and institutional performance in higher education. In addition, this review not only examines the technological integration but also evaluates how AI–LMS systems contribute to sustainable development in higher education through reduced resource consumption, improved accessibility, and enhanced educational equity. Following the PRISMA 2020 guidelines, a comprehensive search of the Scopus database yielded 60 relevant studies published between 2014 and 2023. The review reveals significant benefits of AI–LMS integration, including enhanced student engagement, personalised learning paths, and improved learning outcomes. Key applications include AI-powered conversational agents, adaptive assessments, and learning analytics. However, challenges such as data privacy concerns, algorithmic bias, and the need for faculty training were also identified. The findings highlight strategies for effective AI–LMS implementation, emphasising the importance of ethical considerations and addressing the digital divide. Results demonstrate that AI–LMS integration can significantly enhance educational quality and student performance when implemented thoughtfully. The review also uncovers areas requiring further research, including long-term impacts on learning outcomes, scalability of AI–LMS solutions, and strategies for ensuring equitable access. Future studies should focus on longitudinal assessments of AI–LMS effectiveness, the development of ethical frameworks for AI in education, and the exploration of AI–LMS applications in diverse educational contexts. This review provides valuable insights for higher education institutions seeking to leverage AI–LMS integration to transform teaching and learning practices.

Creating interactive course directories

Many learning management systems (LMS) enable displaying a public course roster. However, such rosters are limited in several ways. First, they typically contain only basic institutional details about people (e.g., their name and email) and often include generic identification photos, which limits the inclusion of course-specific details and stifles student self-expression. Second, they are often static, with limited ability for users to interact via searching and filtering. This teaching tip describes a method for creating an interactive Course Directory and embedding it within an LMS. Beginning in Fall 2019, variations of this technique have been employed by the authors in an introductory undergraduate course, two upper-level undergraduate courses, and a graduate-level course in Animal and Dairy Sciences. The basic mechanism for creating the Course Directory includes 1) a survey and its responses, 2) a data platform, and 3) an embedded element in an LMS webpage. This method is adaptable to a wide range of survey systems, data platforms, and LMS systems. The present teaching tip describes an example in which we connected a Google Form to Google Looker Studio to embed an inline frame within a Canvas webpage.

Virtual Education in Military Medical University: A Descriptive Study

Background: Evaluating the strengths and weaknesses of virtual education is essential today. Objectives: This study examines the satisfaction of professors and students with the learning management system and the quality of virtual education in a military university. Methods: This descriptive-correlational study was conducted between 2021 and 2022. The sample included 44 professors and 167 students from the Faculty of Nursing, Medicine, and Pharmacy at a university. Data were collected using a demographic form and three standardized questionnaires that assessed satisfaction with the quality of virtual education, system interface, evaluation of professors' performance, and professors' opinions about virtual teaching. The data were analyzed using SPSS software version 22, employing correlation tests, one-way analysis of variance, independent t-tests, and multivariate analysis. Results: The students' average age was 21.23 ± 2.78 years, and 81.8% of them were male. The overall satisfaction of students with the learning management system (LMS) had an average score of 497.21 ± 109.68. The professors' performance, as perceived by the students, had an average score of 43.18 ± 9.98. The quality of online education was rated at 58.81 ± 12.51, with 68% of students reporting a moderate level of satisfaction. Among the professors, 29.5% expressed dissatisfaction with the LMS system interface, while 81.8% were moderately satisfied with the virtual education approach. Conclusions: Given the significance of virtual education, it is imperative to devise solutions that enhance professor satisfaction, improve content quality, and optimize performance. These measures will contribute to the overall success and effectiveness of virtual education, benefiting both professors and students alike.

Design and Implementation of SaaS Online Education Management System for Expanding LMS System

The development of the education industry benefits from the continuous progress and updates of internet technology, and the organic integration of the two can further promote the emergence of the LMS (Learning Management System) system. Based on the application characteristics of the LMS system and the characteristics of the Software as a Service online education management system, a Software as a Service online education management system based on the extended LMS system was constructed. The service mode of the system was analysed, and a solution to the problem of paper formation and an analysis of the automatic paper formation algorithm in the system were provided. In addition, further research was conducted on the scores of the credibility evaluation of the system’s services under different attribute parameters. Through the correlation analysis between different attributes and the credibility evaluation scores of the Software as a Service system, it can be seen that among the selected attribute parameters, Response Time and Latency show a negative correlation with the credibility evaluation, while other parameters show a positive correlation. The Software as a Service system constructed in this article provides relevant technical solutions, which have great practical application value and have reference significance for other similar applications. It provides more support for the application and promotion of the Software as a Service (SaaS) online education management system.

Review and comparison of Russian learning management systems (LMS)

The article is an overview of Russian learning management systems (LMS) — an important segment in the field of education and corporate training. In the context of rapidly developing technologies and the increasing need for distance learning, Russian LMS systems are becoming increasingly important as a tool for organizing an effective and flexible educational process

잠재적 고객만족 개선 지수(PCSI Index)를 활용한 학습관리 시스템(LMS)의 품질만족 인식에 관한 연구

This paper aims to analyze the satisfaction and perception of university students regarding the quality of Learning Management Systems (LMS) utilized in mobile environments. The analysis is conducted through Timko's Customer Satisfaction Coefficient and the PCSI Index. To achieve this goal, the definitions and concepts of smart learning and LMS are examined, and a survey on the quality satisfaction of LMS functionalities based on the Kano model is conducted among 127 university students. Through this process, Critical considerations for improving the quality of LMS in mobile environments are analyzed, including the prevention of information misperception errors, acquisition of course-related materials, and avoidance of repetitive unnecessary information. It is hoped that the directional insights derived from this study will serve as a basis for the development and design of specific LMS systems.

Community of Inquiry: Designing Quality Online Instruction for Special Educator Preparation

Online education programs are on the rise and institutions of higher learning are utilizing Learning Management Systems (LMS) to facilitate online learning. The Community of Inquiry (CoI; Garrison et al., 1999) framework identifies three categories of cognitive presence, social presence, and teaching presence to guide the development of online instruction and has been adopted by numerous institutions of higher learning. This article identifies instructional strategies conducive to the design of online presence using the CoI framework to ensure quality learning experiences in online special educator preparation programs. We address some of the features of LMS system tools present in Canvas that are utilized by instructors when designing and implementing online instruction to include: communications, modules and assignments, collaboration, and grading.

E-Apron Movement Control (AMC) Course Module Based Web Using 4D RND Model

This development research direct to determine the development process, feasibility, and responses of cadets and lecturers to electronic module-based learning media in the Apron Movement Control (AMC) course in the Air Transportation Management Diploma 3 Study Program and to produce teaching material products in the form of emodules made using the Canva Application and distributed through the LMS or Learning Management System (LMS) of the Surabaya Aviation Polytechnic. The developed learning media can be used to increase the abilities and interests of cadets in the Apron Movement Control (AMC) Course. The research and development technique used is the RnD or Research and Development method with the Four-D model. This research went through four stages of development, namely Define, Design, Development and Disseminate. The subject matter expert in this study was the Apron Movement Control (AMC) Course Lecturer, while the media expert in this study was the research advisor. In addition to being tested by media experts and material experts, the authors conducted trials through development subjects, namely Diploma 3 Air Transportation Management cadets at both Level 2 and Level 3. As an instrument for data collection in the validation of cadets and lecturers, this the study used interviews and questionnaires which would later be tested using a Likert scale. Based on the analysis of the data collected by the researcher, the validity of the material contained in the Electronic Apron Movement Control Module is 62.4%, 73.5% validity for the media and 73% for students' validity which showed that usability measurement of this E-Module “Worthy”. So that conclusion that can be drawn in this research that E-Apron Movement Control Module Based Web can be used to users.

Digital Literacy Skills and System Quality as Predictors of Learning Management Systems Use of Postgraduate Students in Ibadan Nigeria

<p class="Default"><span lang="EN-US">The use of learning management systems (LMS) was observed to be weak among students in Nigeria. Therefore, digital literacy skills and system quality were used as predictors to predict LMS use among postgraduate students in universities in Ibadan, Nigeria. A survey design of the correlational type was adopted. At the same time, the population of the study comprised all the 4,750 postgraduate students of two universities in Ibadan, Nigeria, and 328 postgraduate students were drawn using a multi-stage sampling technique. The instrument adopted for data collection was a questionnaire which had three sections. The questionnaire return rate was 316 copies, representing a 96.3% retrieval rate. Pearson’s Product Moment Correlation Coefficient and multiple regression analysis were conducted to test the null hypotheses at a 0.05 significance level. A significant relationship between digital literacy skills and the use of learning management (r =.319; p < 0.05) was found, while a significant relationship between system quality and the use of learning management systems (r =.501; p < 0.05) was equally established. There is a significant relationship between digital literacy skills and LMS system quality (r =.529; p < 0.05). Furthermore, a joint influence of digital literacy skills and system quality on the use of learning management systems of postgraduate students in universities in Ibadan, Nigeria (F =53.594; R=0.505; p < 0.05) was established. It was recommended that university management and lecturers should ensure the system quality of the LMS type to be adopted must support the convenience of use and have fewer technicalities in its use.</span></p>

Analisis Kepuasan Learning Management System Universitas XYZ Menggunakan Metode System Usability Scale dan K-Means

The importance of knowing the results of using the LMS (Learning Management System) learning application to determine the overall use value of users each semester. User perceptions were obtained using the SUS (system usability scale) method using a questionnaire that adopted 10 questions distributed to 118 users (students) of the XYZ University Informatics Engineering study program who had used the LMS after 1 semester. The purpose of this study is to determine user perceptions by clustering user satisfaction which has been carried out for 1 semester. Grouping perceptions using the K-Means method with variables (columns) that seem to have the greatest influence on other variables. Other tools use Google Colab in the Python programming language. The number of variables is 10 variables adopted from the questions in the System Usability Scale method. The results of this study provide a total of 3 (three) clusters which will then become the basis for scoring the criteria for the SUS method. The criteria for using the LMS system with cluster 2 have an excellent rating (SUS score of 72.04) and the number of perceptions is 49 people from 118 students. Overall, LMS users provide good value for several modules in the LMS, but the third cluster with the highest number gives the best results from the other clusters.

Evaluating Learning Management Systems in University: Evidence in University in North Sulawesi

Learning management systems (LMS) have been established at universities around the world including at Manado State University to connect students and faculty without the confines of a traditional classroom. It is a digital software environment designed to manage user engagement and provide learning content and resources to students. The aim of this study is to evaluate the use of learning management systems in universities. The method used in this study is the combined methods we used, namely library research and surveys. The library research method also uses secondary data collected from informative articles, books, and magazines. The results of this study found that the LMS used in universities is generally good, this is because the LMS system has been introduced and teachers must use it in daily lectures as well, it is very important to determine the feedback from students as LMS users. Previous studies have demonstrated varying understandings of the impact of implementing LMS in higher education in universities around the world. Therefore, this article provides some insights into the Impact of Utilizing E-learning Technology or LMS. This study concludes that the use of post-covid-19 LMS has shown a fairly good increase both for providers of learning content, namely teachers and system managers, and on the user side, namely students so that learning activities at universities have experienced quite an increase.

Personal Information Technology Infrastructure Quality (PITIQ) Influence on Information and System Quality in LMS Success Models

The COVID-19 Pandemic has forced educational institutions, including in higher education level, to change teaching and learning process. They must carry out all teaching and learning processes using the Learning Management System (LMS). Information Technology Infrastructure (ITI) plays an essential role in LMS. Most studies have been focused on ITI based on organizational perspectives, and only few of them is based on personal resource. This study examined the impact of Personal Information Technology Infrastructure Quality (PITIQ) on the success of LMS. It used the DeLone and McLean model. The participants were 105 students using LMS in Indonesian public universities. This study also employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the survey data. The results indicated that PITIQ provide a significant impact on both the LMS quality of the system and the LMS quality of information. Based on R-square results, the implications of variables in the proposed model were LMS System Quality (52.9%), LMS Information Quality (47.6%), Student Satisfaction (59.6%), the Use (17.0%), and Net Benefit (72.1%). The quality of the system and information from the LMS provider would not be well received if the PITIQ was of low quality. The system’s quality and information quality affect student satisfaction with the LMS. Furthermore, students can experience the Net Benefits of LMS if they continuously use and are satisfied by LMS services.

Efficacy of the SMARTV3UMS Learning Management System in Art and Design Courses

Educational institutions are developing e-learning that uses intervention and individual interaction in the learning process to become more efficient and successful. Learning management systems (LMSs) aid in the management of teaching components and online contact between teachers and students. However, their effectiveness is highly dependent on a thorough understanding of the obstacles and factors that influence their use among their users. This relates in particular to transferability and knowledge acquisition among students, especially those enrolled in art and design majors. The purpose of this study was to investigate the effects of knowledge management (KM) on the SMARTV3UMS learning system for art students. SMARTV3UMS is an LMS system that all art students at Universiti Malaysia Sabah must use during their courses. A quantitative survey was undertaken to assess knowledge acquisition, sharing, application, protection, internalization, and creation in relation to the SMARTV3UMS system and user experience. Descriptive and inferential statistics were used to analyze the collected data and assess the study objectives. In SMARTV3UMS, knowledge acquisition, internalization, and creation were the three KM components most adopted by the participating 216 art students. Gender and geographic area did not affect the SMARTV3UMS “fit” quality measures for student KM. The findings revealed that KM creates diverse instructional techniques and alters the learning process in e-learning. Stakeholders can assess student thinking, experience, and knowledge of educational technology use by evaluating the KM domain. SMARTV3UMS needs a solid KM integration strategy and a plan to support learning, specifically online art and design learning, as well as visual arts students’ e-learning implementation concerns.

Perceived usability evaluation of learning management systems via axiomatic design with a real life application

PurposeUsage of learning management systems (LMSs) has become widespread with the disruption of face-to-face educations after the COVID-19 pandemic. There are several software products, usually named as LMS to enable and support distance education. However, selection of a suitable LMS is a complex multiple criteria decision making (MCDM) problem that requires consideration of many criteria and inputs from different parties like students, academicians, education managers, etc. Usability evaluation of LMS is one of the critical steps in deciding which LMS system to be adapted. There are several studies related to usability evaluation of LMS in the literature, but utilization of MCDM methods and real life case studies are very rare. Based on this motivation, perceived usability evaluation of SAKAI-LMS that is in use at an academic department is performed by employing axiomatic design procedure (ADP). This paper aims to discuss the aforementioned issues.Design/methodology/approachADP is considered as a suitable MCDM method for perceived usability evaluation as it allows an easy approach to data fusion and setting performance targets for decision makers. A questionnaire is developed to collect data from three types of system users about predetermined usability criteria and their importance. After detailed statistical analyses and weighting criteria via analytical hierarch process (AHP), ADP is carried out to evaluate usability of the LMS.FindingsIt is found that the proposed ADP based approach is easy to apply in practical circumstances and able to quantify perceived usability of the LMSs.Research limitations/implicationsThe proposed approach provides an easy and practical evaluation of perceived usability of the LMSs for decision makers who are responsible for the implementation of LMSs. The developed novel and practical MCDM-based perceived usability approach for LMS in this study has been verified through a real life case study at an academic department. Perceived usability results, therefore, reflects only the views of this focus group and are not generalizable.Originality/valueFirst time in the literature, a comprehensive ADP based MCDM approach is proposed based on the analyses of the related literature and information gathered from the system users.

Demands For Blended Learning During The Covid-19 Pandemic

Blended learning carried out during the covid-19 pandemic has changed the learning system from online to combined with offline. Currently starting with the government policy to apply lectures with a blended learning system in various universities, secondary education, basic education, and early childhood education. The blended learning system at UIN Mataram demands changes in new learning styles in its application, starting from supporting media, applications used, delivery of learning materials, and learning models between lecturers and students. UIN Mataram has implemented blended learning with the LMS (Learning Management System) application. The purpose of this study is to analyze the application of the blended learning model that has taken place at UIN Mataram with a good LMS system. This research is a descriptive qualitative research, and qualitative data obtained through observation, documentation, and interviews with credible sources. The analysis was carried out inductively, the data collected continued to be reduced and verified, and continued until meaningful final findings were found. The results showed that learning at the PIAUD UIN Mataram study program used a blended learning strategy with a percentage of 70:30, namely 70% online and 30% face-to-face. The use of Moodle based LMS assistance helps students and lecturers in carrying out blended learning lectures effectively

Survey of the School of Mathematics and Sciences at a Community College Regarding Academic Dishonesty

After receiving many anecdotes about student cheating and plagiarism in online and remote classes during the COVID-19 pandemic, the School of Mathematics and Science (SOMS) at the Community College of Baltimore County convened an Academic Integrity Committee to investigate these issues. A survey was sent to SOMS faculty members to determine their opinions about where cheating was most likely occurring. The committee hypothesized that instructors would feel that cheating and plagiarism were on the rise and that most faculty members felt ill-prepared for this. This paper aims to summarize the survey results. Overall, the results indicate that faculty seem doubtful of their ability to ensure academic honesty and would like to see materials that help them in these areas. The survey results guided the committee in determining what projects most deserved the committee’s attention. The committee was able to develop materials for new instructors and wrote a document of practical recommendations for several types of online exams. The committee also gave a presentation at the college’s Teaching and Teaching Fair to help faculty become more familiar with the tools available on the new Learning Management System (LMS), Brightspace. The committee has begun researching ideas such as Honor Codes and other methods of gaining student buy-in. There may be an opportunity to make more concrete recommendations in the future. One of the limitations of this research is the sample pool, which was a small percentage of total faculty members and therefore may not indicate what most faculty believe. Another limitation is that surveyed faculty members were from mathematics, biology, and physical sciences departments. These different disciplines have different assessment types and use different tools. The college also switched to a new LMS system involving new plagiarism detection tools. Further data may be required to determine the exact cause of faculty discontent.

STUDENT PERCEPTIONS OF LMS AT THE FACULTY OF ENGINEERING TRUNOJOYO UNIVERSITY MADURA

This study aims to determine student perceptions of the Learning Management System (LMS) during the Corona pandemic. Currently, many educational institutions are conducting online learning and using LMS in their activities. The LMS system is used as a medium for managing the learning process. By utilizing the LMS, schools can register, identify lesson plans, monitor learning, and evaluate learning. During the pandemic learning period, LMS plays a very important role in determining the success of learning targets. It is therefore important to get students' perceptions of the LMS used. The LMS system used in this study is a free web-based LMS system and can be used by the public. The assessment methodology used to fulfill the research objectives uses a Likert-type scale. This study provides insight into the LMS preferred by students. The results of this study can be used as a reference in the selection of the LMS tool used. The method we use is a simple questionnaire using a google form. This research is included in quantitative research. From the results of the research, it is evident that there are two things that are of great concern to students, namely the LMS is easy to use and is able to facilitate the availability of teaching materials. Respectively with a total agree of 86.8% and 93.3%.

Early Dropout Prediction in Online Learning of University using Machine Learning

Recently, most universities plan to open or open online learning courses, but the problem of dropout of online learning is still a problem for universities. Online learning has the advantage of being able to receive education anytime, anywhere, but it is true that the dropout rate is higher than offline classes because you have to manage and control your own study time without the help of a professor or manager. Therefore, it is very important for professors and managers to support students in a timely act to avoid the risk of dropout of university online classes. This study used the access log data recorded in the Learning Management System (LMS) and the learner's statistical information and calculated data, and aims to present predictive algorithms suitable for online learning dropout early prediction systems at universities. This study features a 7-year online learning history log data recorded in the Cyber University LMS system to overcome the data count limitations of existing studies and predict the risk of drop-out during the learning period. The characteristics of the data you utilized were used to validate the availability of predictive models by applying learner statistical information, number of system connections, number of lectures, previous semester grade data, machine learning based decision tree, arbitrary forest (RF), support vector machine (SVM) and deep learning (DNN). Studies show that random forest (RF) algorithms have the best prediction and performance, and deep learning algorithms also apply to learning management (LMS) systems.

Analysis of E-Learning Acceptance During Distance Learning Using Unified Theory Of Acceptance and Use of Technology (UTAUT)

The new coronavirus disease that was first identified in Wuhan, China, is referred to as the 2019 coronavirus disease pandemic (COVID-19). The impact of this pandemic has affected various fields, one of which is education, and one of the consequences is the implementation of online teaching and learning processes. In this digital era, Telkom University is implementing CeLOE LMS as an E-Learning medium. CeLOE Learning Management System (LMS) is an online learning platform for regular and distance education study programs at Telkom University. For the application of CeLOE LMS, there has been no report that contains user acceptance of the use of CeLOE LMS that tested with an integrated model. Therefore, the solution offered by this research was to conduct an analysis to determine user acceptance of the application of the CeLOE LMS system by using the Unified Theory of Acceptance and Use of Technology (UTAUT) Model at Telkom University to produce report that can be used as a basis for further decision making by Telkom University in managing its services as the UTAUT Model attempts to clarify the intentions of students to use an information system and the usage actions of students. From this research, it was found that the CeLOE LMS has been accepted and used by Telkom University students with all hypotheses accepted, Performance Expectancy as the variable with the greatest influence, and it needs improvements related to technical infrastructure, organizational infrastructure, and socialization of CeLOE LMS due to the influence of Facilitating Conditions variable was the lowest.

Analysis of Conditions for Reliable Predictions by Moodle Machine Learning Models

In this paper the issue of bias-variance trade-off in building and operating Moodle Machine Learning (ML) models are discussed to avoid traps of get-ting unreliable predictions. Moodle is one of the world’s most popular open source Learning Management System (LMS) with millions of users. Although since Moodle 3.4 release it is possible to create ML models within the LMS system very few studies have been published so far about the conditions of its proper application. Using these models as black boxes hold serious risks to get unreliable predictions and false alarms. From a comprehensive study of differently built machine learning models elaborated at the University of Dunaújváros in Hungary, one specific issue is addressed here, namely the in-fluence of the size and the row-column ratio of the predictor matrix on the goodness of the predictions. In the so-called Time Splitting Method in Moo-dle Learning Analytics the effect of varying numbers of time splits and of predictors has also been studied to see their influence on the bias and the variance of the models. An Applied Statistics course is used to demonstrate the consequences of the different model set up.