scholarly journals Factors That Affect User Satisfaction Of Electronic Learning Management Systems (ELMSs)

2020 ◽  
Vol 005 (01) ◽  
pp. 8-14
Author(s):  
Riyadi Riyadi ◽  
Umar Nimran ◽  
Eko Ganis Sukoharsono ◽  
Muhammad Al Musadieq
Keyword(s):  
User Satisfaction ◽  
Learning Management Systems ◽  
Management Systems ◽  
Electronic Learning ◽  
Learning Management

scholarly journals Intelligent Decision Support System for Predicting Student’s E-Learning Performance Using Ensemble Machine Learning

Mathematics ◽  
2021 ◽  
Vol 9 (17) ◽  
pp. 2078
Author(s):  
Farrukh Saleem ◽  
Zahid Ullah ◽  
Bahjat Fakieh ◽  
Faris Kateb
Keyword(s):  
Machine Learning ◽  
Student Performance ◽  
Learning Management Systems ◽  
Machine Learning Algorithms ◽  
Learning Performance ◽  
Management Systems ◽  
Electronic Learning ◽  
Ensemble Techniques ◽  
Proposed Model ◽  
Learning Management

Electronic learning management systems provide live environments for students and faculty members to connect with their institutional online portals and perform educational activities virtually. Although modern technologies proactively support these online sessions, students’ active participation remains a challenge that has been discussed in previous research. Additionally, one concern for both parents and teachers is how to accurately measure student performance using different attributes collected during online sessions. Therefore, the research idea undertaken in this study is to understand and predict the performance of the students based on features extracted from electronic learning management systems. The dataset chosen in this study belongs to one of the learning management systems providing a number of features predicting student’s performance. The integrated machine learning model proposed in this research can be useful to make proactive and intelligent decisions according to student performance evaluated through the electronic system’s data. The proposed model consists of five traditional machine learning algorithms, which are further enhanced by applying four ensemble techniques: bagging, boosting, stacking, and voting. The overall F1 scores of the single models are as follows: DT (0.675), RF (0.777), GBT (0.714), NB (0.654), and KNN (0.664). The model performance has shown remarkable improvement using ensemble approaches. The stacking model by combining all five classifiers has outperformed and recorded the highest F1 score (0.8195) among other ensemble methods. The integration of the ML models has improved the prediction ratio and performed better than all other ensemble approaches. The proposed model can be useful for predicting student performance and helping educators to make informed decisions by proactively notifying the students.

What Makes Learning Management Systems Effective for Learning?

2018 ◽  
Vol 47 (2) ◽  
pp. 152-169 ◽  
Author(s):  
Lee Yen Chaw ◽  
Chun Meng Tang
Keyword(s):  
Service Quality ◽  
Significant Relationship ◽  
User Satisfaction ◽  
Information Quality ◽  
Learning Management Systems ◽  
Management Systems ◽  
Learning Effectiveness ◽  
System Quality ◽  
System Use ◽  
Learning Management

Learning management systems (LMSs) may provide learners with resources in various formats, such as videos, quizzes, and forum discussions to support their learning, but having access to an LMS does not necessarily mean that learning has occurred effectively. Despite its apparent usefulness, whether the use of the LMS can indeed help learners learn more effectively remains an interesting matter for course providers, LMS vendors, and learners. Therefore, this study adopted the updated DeLone and McLean information system success model to examine whether LMS system quality, information quality, and service quality affect learners’ system use and user satisfaction, and ultimately their learning effectiveness. Through a questionnaire survey, responses collected from 123 university students who studied in a blended learning environment at a university were analyzed. Findings showed that system quality and service quality, but not information quality, had a significant relationship with system use. In turn, system use had a significant relationship with learning effectiveness.

Readiness of Universities for 21st Century Digital Economies: Case of Selected Lecturers from Universities in Buffalo City Metropolitan in Eastern Cape Province South Africa

10.31355/42 ◽  
2019 ◽  
Vol 3 ◽  
pp. 065-077
Author(s):  
Agyei Fosu
Keyword(s):  
Higher Education ◽  
21St Century ◽  
Teaching And Learning ◽  
Learning Management Systems ◽  
Management Systems ◽  
Eastern Cape ◽  
Next Generation ◽  
Web Based ◽  
Web Based Learning ◽  
Learning Management

NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose...................................................................................................................................................................................................... The purpose of this study is to expand the knowledge base on factors likely to impede implementation and adoption of web-based learning management systems to blend with traditional methods of lecturing in universities to cater for the next generation of learners in Africa and Eastern Cape Province South Africa in particular. Background........................................................................................................................................................................................................ The shift from the industrial economies to 21st century digital and knowledge-based economies, fueled by rapid Information and Communication Technologies (ICTs) such as Internet, YouTube, Chartrooms, Skype, Social media networks and its introduction to the educational system not only resulted in a new teaching approach globally but also paved way to usher in new generation of learners (anytime, anywhere learners) in the higher education system. Despite the fact that universities and other institutions of higher education in developed countries and some Africa countries have since recognized that the 21st century global digital and knowledge-based economies evolution has ushered in the next generation of learners, and as a result have taken the necessary steps to blend the traditional method of lecturing in higher education with web-based learning management systems in order to accommodate these learners. However, in Africa not much research have been done on the readiness of higher education institutions in terms of blending web-based learning management systems with the traditional method of lecturing to cater for the next generation of learners. Methodology....................................................................................................................................................................................................... Quantitative and two non-probability sampling methods, namely, quota and purposive sampling was used to investigate the technological skills of selected lecturers from universities within Buffalo City Metropolitan as one of the core component to check the readiness of their faculty for the next generation of learners. Contribution........................................................................................................................................................................................................ This research will add to the growing knowledge about the blending of web-based learning management with the traditional style of lecturing in higher education in the 21st century digital economies. Findings.............................................................................................................................................................................................................. The results indicated that the participating lecturers need to be trained and sup-ported in the skills of using of the ICTs and computer programs applicable to enhance web-based learning in teaching and learning environment in higher education in order to cater for the next generation of learners associated with the 21st century digital economies. Recommendations for Practitioners................................................................................................................................................................. Much as there is a need for increased in investment in infrastructure within higher education institutions to support teaching and learning, continuous sup-port and training for academics to be technologically literate and also be abreast on rapidly evolving field of ICTs is paramount as it can expedite the teaching and learning process in higher education. Recommendation for Researchers................................................................................................................................................................... There is the need to explore in depth the other two components suggested by Mishra and Koehler (2007) which can serve as barriers for successfully integration of technology into teaching and learning by locus of knowledge. Impact on Society............................................................................................................................................................................................... The research will assist stakeholders, policy makers and agencies tasked with transforming institutions of higher learning to identify the barriers likely to hinder transformation efforts and address them accordingly. Future Research................................................................................................................................................................................................. Conducting research on technological skills of students are critical in this context.

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

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Hasan Tinmaz ◽  
Jin Hwa Lee
Keyword(s):  
Information And Communication Technologies ◽  
Age Groups ◽  
Learning Management Systems ◽  
Content Management ◽  
Ease Of Use ◽  
Management Systems ◽  
Smart Learning ◽  
School Year ◽  
Design For All ◽  
Learning Management

Abstract 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.

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