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Aylin Ozturk; Robin Schmucker; Tom Mitchell; Alper Tolga Kumtepe – International Educational Data Mining Society, 2025
This study investigates the heterogeneity in the effects of a Learning Analytics Dashboard (LAD) intervention, which provides personalized feedback messages, across a diverse population of learners. Specifically, it evaluates the impact of the LAD on learners' total material usage and final grades, considering variables such as age, sex, prior…
Descriptors: Learning Analytics, Learning Management Systems, Feedback (Response), Grades (Scholastic)
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Felipe de Morais; Patricia A. Jaques – International Journal of Artificial Intelligence in Education, 2024
Affect dynamics in digital learning systems (DLS) research investigates how students' emotions evolve while using these systems. This information can reveal the most common emotions experienced by students and how they transition between them. Recent studies indicate that affect dynamics in DLS vary depending on students' demographic and personal…
Descriptors: Student Attitudes, Mathematics Instruction, Gender Differences, Psychological Patterns
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Erum Ashraf; Selvakumar Manickam; Khurrum Mahmood; Shams Ul Arfeen Laghari; Amber Baig – Journal of Educators Online, 2025
The recommendation of courses in an online educational system is done using different factors that include course length, duration, and learning material information. The course design is based on the instructor's teaching style, which may not necessarily correspond with the various learning preferences of students. Matching the learning style of…
Descriptors: Online Courses, Electronic Learning, Cognitive Style, Teaching Styles
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Shard; Devesh Kumar; Sapna Koul – International Journal of Learning Technology, 2024
This study aims to examine the effects of e-learning management system -- quality characteristics and student characteristics on continuous intention to use e-LMS. This empirical and quantitative study focuses on emerging nations, specifically India, and explores the acceptance of e-LMS among students. While previous research has examined student…
Descriptors: Foreign Countries, Electronic Learning, Undergraduate Students, Graduate Students
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Shard; Kumar, Devesh; Koul, Sapna; Siringoringo, Hotniar – IEEE Transactions on Learning Technologies, 2023
Students' and instructors' adoption of "e-learning management systems (e-LMSs)" is critical to their success in a "virtual learning environment." Students can use "e-learning" to obtain instructional materials to supplement "traditional classroom" instruction. This study intends to highlight the important…
Descriptors: Foreign Countries, Students, Behavior, Intention
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Maria Camilla Ann R. Llamas; Cenie M. Vilela-Malabanan; Dante D. Dinawanao – Journal of Education and Learning (EduLearn), 2025
This study explores the user experience (UX) of academics and students in using a Moodle-based learning management system (LMS) and provides opportunities for improvement. The study employs a qualitative approach to gain a deep understanding of user perspectives, combining focus group discussions (FGDs) with the user experience questionnaire…
Descriptors: College Faculty, Learning Management Systems, Teacher Attitudes, Educational Improvement
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S. Dumas Reyssier; A. Serna; S. Hallifax; J.-C. Marty; S. Simonian; E. Lavoué – Interactive Learning Environments, 2024
The gamification approach is often used in educational settings, with widely varying results on learner motivation. A new trend emerged these last years on adaptive gamification to fit learners' preferences for game mechanics, but little is known on how the adaptation of different game elements impacts different types of learner motivation. In…
Descriptors: Gamification, Student Motivation, Student Characteristics, Secondary School Students
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Or Goren; Liron Cohen; Amir Rubinstein – International Educational Data Mining Society, 2024
The problem of student dropout in higher education has gained significant attention within the Educational Data Mining research community over the years. Since student dropout is a major concern for the education community and policymakers, many research studies aim to evaluate and uncover profiles of students at-risk of dropping out, allowing…
Descriptors: Dropout Characteristics, Prediction, Potential Dropouts, Student Characteristics
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Fatma Jaupi; Rezart Prifti – Journal of Educators Online, 2024
The purpose of this paper is to analyze factors that affect the behavioral intentions of undergraduate students to use blended learning methods. The research uses the three-tier use model (3-TUM) to explore the influencing behavioral factors of students at the undergraduate level to use LMSs. "The research was carried out at a university and…
Descriptors: Learning Management Systems, Undergraduate Students, Multimedia Instruction, Teaching Methods
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Na-Ra Nam; Sue-Yeon Song – Innovations in Education and Teaching International, 2025
This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…
Descriptors: Adult Students, Academic Persistence, Foreign Countries, Influences
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Loglo, Frank Senyo; Zawacki-Richter, Olaf – Journal of Learning for Development, 2023
This study examined African higher education students' digital media use for learning. A total of 64 papers were selected for final synthesis from 1046 publications between 2010 and 2021. The review was dominated by campus-based undergraduate studies in the STEM subjects. The synthesis confirmed a variety of digital media usage; however, learning…
Descriptors: Technology Uses in Education, Electronic Learning, Literature Reviews, College Students
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Xiaoman Wang; Rui Huang; Max Sommer; Bo Pei; Poorya Shidfar; Muhammad Shahroze Rehman; Albert D. Ritzhaupt; Florence Martin – Journal of Educational Computing Research, 2024
The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…
Descriptors: Meta Analysis, Outcomes of Education, Artificial Intelligence, Learning Management Systems
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Dominique Emmanuel Uwizeyimana; Victor H. Mlambo; Tasneem Majam; Carmen Joel – Research in Learning Technology, 2024
This study examines students' perceptions and preferences for Blackboard at a South African public university. When the South African government, driven by COVID-19, announced the closure of schools in March 2020 for high school learners, home-schooling became the only option despite challenges such as lack of internet access, family support and…
Descriptors: Foreign Countries, Universities, Student Attitudes, Preferences
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Jamiu Adekunle Idowu – International Journal of Artificial Intelligence in Education, 2024
This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…
Descriptors: Algorithms, Dropouts, Prediction, Academic Achievement
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Huang, Xiaoshan; Ruiz-Segura, Alejandra; Tan, Chengyi; Wang, Tingting; Sharma, Robin; Lajoie, Susanne P. – Information and Learning Sciences, 2023
Purpose: Social presence (SP), which refers to individuals' perception of others being engaged as "real people" in the same situation, is a crucial component in technology-rich learning environments (TREs). This study aims to identify major learning design, antecedents and outcomes of SP within TREs, and identify common findings from the…
Descriptors: Instructional Design, Educational Technology, Technology Uses in Education, Student Characteristics
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