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Shynta Amalia; Muhammad Iqbal Ramdhani; Syafryadin; Eka Apriani; Saad Boulahnane – LEARN Journal: Language Education and Acquisition Research Network, 2024
Through the application of the experimental research method and the factorial design, the purpose of this study was to investigate the effects of the authoring tools SoftChalk medium and Hot Potatoes medium in the learning management system (LMS), as well as the types of readers (Avid, Passive, and Reluctant), on the reading comprehension…
Descriptors: Learning Management Systems, Reading Comprehension, Foreign Countries, Reading Improvement
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Wahyuddin; Maharida; Muhammad Awal Nur – Anatolian Journal of Education, 2025
This research analyzed the effect of learning management on learning activities both directly and through moderating learning readiness variables. This research was an ex-post facto type of quantitative research carried out at the Universitas Muhammadiyah Makassar. The research variables consist of exogenous variables, namely learning management,…
Descriptors: Learning Management Systems, Learning Activities, Learning Readiness, College Students
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Eddy Triswanto Setyoadi; Syaad Patmanthara; Heru Wahyu Herwanto; Hartarto Junaedi; Alexander Wirapraja; Titasari Rahmawati – Electronic Journal of e-Learning, 2025
The adoption of digital learning systems is closely related to user engagement and system relevance. This quantitative research aims to explore the factors influencing students' switching intention from traditional Learning Management Systems (LMS) to a gamified LMS platform, using the Push-Pull-Mooring (PPM) framework. A conceptual model was…
Descriptors: Foreign Countries, College Students, Higher Education, Gamification
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Chaewon Lee; Lan Luo; Shelbi L. Kuhlmann; Robert D. Plumley; Abigail T. Panter; Matthew L. Bernacki; Jeffrey A. Greene; Kathleen M. Gates – Journal of Learning Analytics, 2025
The increasing use of learning management systems (LMSs) generates vast amounts of clickstream data, opening new avenues for predicting learner performance. Traditionally, LMS predictive analytics have relied on either supervised machine learning or Markov models to classify learners based on predicted learning outcomes. Machine learning excels at…
Descriptors: Electronic Learning, Prediction, Data Analysis, Artificial Intelligence
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Sonam Dhendup; Thinley Wangdi – Journal of Educators Online, 2023
This study is presented in two sections. A total of 436 students from five different colleges under the Royal University of Bhutan participated in this study. The first part involved validating the E-Learning Acceptance Measure (ELAM) proposed by Teo (2010) for its applicability in the context of the study by using Confirmatory Factor Analysis…
Descriptors: Foreign Countries, College Students, Electronic Learning, Validity
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Zulherman; Supriansyah; Desvian Bandarsyah; Mohamed Nazreen Shahul Hamid – Journal of Education and Learning (EduLearn), 2025
Online and distance learning technology with the learning management system (LMS) is an example of the application of online learning models at universities, which is the impact of technological developments. However, advances in LMS technology still need to be implemented in universities, the problem of university readiness being the main factor.…
Descriptors: Learning Management Systems, Models, Universities, Electronic Learning
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Wilk Oliveira; Pasqueline Dantas Scaico; Juho Hamari; Zhaoxing Li; Lei Shi – Journal of Computer Assisted Learning, 2025
Background: Gamification has been used in recent years to enhance the student experience in educational environments and to help students achieve an optimal experience. However, there is limited empirical evidence of the effects of gamification on specific psychological experiences, such as the students' flow experience, which is a highly…
Descriptors: Gamification, Learning Management Systems, Game Based Learning, Student Experience
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Chun Liu – Education and Information Technologies, 2024
The objectives of this work are to investigate the impact of automating the student assessment process using the Schoology web-based learning management system as an example and determine its effectiveness and usability by performing a comparative analysis between the survey results of educators and students. The research methodology is based on…
Descriptors: Foreign Countries, College Faculty, College Students, Learning Management Systems
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Senad Becirovic – Education and Information Technologies, 2024
This study aims to determine the factors influencing the efficient and successful use of LMS among university-level students. A multiperspective approach was performed using TAM3 and ISS framework to achieve the aforementioned aim. The survey was administered to 371 university students. Structural equation modeling (SEM) has been conducted to test…
Descriptors: College Students, Learning Management Systems, Accuracy, User Satisfaction (Information)
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Yifat Davidoff; Wurud Jayusi – Education and Information Technologies, 2025
Higher Education has serious challenges regarding academic online teaching-learning-evaluation methods and tools. This study examined 980 students from diverse disciplines about their social-emotional-psychological (SEP) perceptions. We also examined the presence and desirability of 14 TLE (teaching-learning-evaluation) tools in the online…
Descriptors: Instructional Effectiveness, Electronic Learning, Learning Strategies, Student Attitudes
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Jamal Kay B. Rogers; Romel P. Salazar; Mark Van M. Buladaco – Journal of Education and Learning (EduLearn), 2025
The popularity of online learning gives rise to learning management system (LMS) development as a central medium of instruction, communication, assessment, and collaboration for flexible learning. However, different LMS platforms present different acceptability to users, making it challenging for educational institutions to choose a platform for…
Descriptors: Learning Management Systems, Technology Uses in Education, College Students, Value Judgment
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Daniel Amadiok; Winston Kwame Abroampa; Eric Opoku Osei – Education and Information Technologies, 2025
Numerous studies highlight that the high adoption rates of e-learning management systems (e-LMSs) are not necessarily matched by their actual use among students in sub-Saharan African higher education. Nevertheless, factors such as perceived behavioral control of e-LMS, teaching activities in e-LMS, administrative activities in e-LMS, and…
Descriptors: Foreign Countries, Learning Management Systems, Technology Uses in Education, Educational Technology
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Lucas Paulsen; Euan Lindsay – Education and Information Technologies, 2024
This systematic review explores the emerging themes in the design and implementation of student-facing learning analytics dashboards in higher education. Learning Analytics has long been criticised for focusing too much on the analytics, and not enough on the learning. The review is then guided by an interest in whether these dashboards are still…
Descriptors: Learning Analytics, Educational Technology, Learning Processes, College Students
Michael Wade Ashby – ProQuest LLC, 2024
Whether machine learning algorithms effectively predict college students' course outcomes using learning management system data is unknown. Identifying students who will have a poor outcome can help institutions plan future budgets and allocate resources to create interventions for underachieving students. Therefore, knowing the effectiveness of…
Descriptors: Artificial Intelligence, Algorithms, Prediction, Learning Management Systems
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Rafael Alé-Ruiz; Fernando Martínez-Abad; María Teresa del Moral-Marcos – Education and Information Technologies, 2024
The flexible, changing, and uncertain nature of present-day society requires its citizens have new personal, professional, and social competences which exceed the traditional knowledge-based, academic skills imparted in higher education. This study aims to identify those factors associated with active methodologies that predict university…
Descriptors: Learner Engagement, Individualized Instruction, Active Learning, Higher Education
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