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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
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
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
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
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
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
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
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
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
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
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
Yuanlan Jiang; Jian-E Peng – Computer Assisted Language Learning, 2025
Language learner engagement, which is receiving increased attention, has predominantly focused on offline classroom contexts, while learner engagement in language Massive Open Online Courses (LMOOCs) remains under-explored. This study was conducted on a College English MOOC with the purpose of examining learner engagement and its relations with…
Descriptors: Learner Engagement, Personal Autonomy, Second Language Learning, Second Language Instruction
Esther Julia Korkor Attiogbe; Yaw Oheneba-Sakyi; O. A. T. F. Kwapong; John Boateng – Journal of Research in Innovative Teaching & Learning, 2025
Purpose: Feedback is crucial in a learning process, particularly in an online interaction where both learners and instructors are distantly located. Thus, this paper aims to investigate the association between feedback strategies, embedded course syllabus and learning improvement in the Sakai Learning Management System.…
Descriptors: Feedback (Response), Educational Strategies, Distance Education, Learning Processes
Hussein, Mahmood H.; Ow, Siew Hock; Al-Azawei, Ahmed; Ibrahim, Ishaq – Australasian Journal of Educational Technology, 2022
This study aims at proposing an integrated model based on the technology acceptance model, the information system success model, cognitive load theory, and personal characteristics to predict students' continued intention to reuse Google Classroom in the context of a developing country. To achieve this, we conducted quantitative research,…
Descriptors: Educational Technology, Learning Management Systems, Intention, Student Characteristics
Hakami, Tahani Ali; Al-Shargabi, Bassam; Sabri, Omar; Khan, Syed Md Faisal Ali – Journal of Educators Online, 2023
The information revolution has transformed higher education. After the COVID-19 pandemic, teachers and instructors were encouraged to improve technology-enhanced teaching methods. Furthermore, various factors influenced the adoption of internet and digital-based technologies as an aspect of teaching methodology, including its usefulness, ease of…
Descriptors: Foreign Countries, Educational Technology, Technology Integration, Electronic Learning