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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
Mohd Hanafi Azman Ong; Nur Syafikah Ibrahim – International Journal of Information and Learning Technology, 2024
Purpose: Since there is lack of studies in determine factors that affecting enjoyment sentiment when using online learning system, this study aims to explore the antecedents of perceived online learning enjoyment by using extended technology acceptance model (TAM) and its effect on behavioral intentions (BIN) among higher education institutions…
Descriptors: Electronic Learning, Positive Attitudes, Undergraduate Students, Public Colleges
Matthew L. Bernacki; Dan J. Gianoutsos; MeganClaire Cogliano – Innovative Higher Education, 2025
In this five-year longitudinal study focused on digital support for continuing and first-generation college students, we examined how digital curricular enhancements that promoted students' self-regulated learning skills (e.g, the Science of Learning to Learn) through trainings delivered on the university learning management system course site of…
Descriptors: College Freshmen, First Year Seminars, Academic Achievement, First Generation College Students
Hilpert, Jonathan C.; Greene, Jeffrey A.; Bernacki, Matthew – British Journal of Educational Technology, 2023
Capturing evidence for dynamic changes in self-regulated learning (SRL) behaviours resulting from interventions is challenging for researchers. In the current study, we identified students who were likely to do poorly in a biology course and those who were likely to do well. Then, we randomly assigned a portion of the students predicted to perform…
Descriptors: Learning Theories, Independent Study, Artificial Intelligence, Biology
Krumm, Andrew; Everson, Howard T.; Neisler, Julie – Journal of Learning Analytics, 2022
This paper describes a partnership-based approach for analyzing data from a learning management system (LMS) used by students in grades 6-12. The goal of the partnership was to create indicators for the ways in which students navigated digital learning activities, referred to as playlists, that were comprised of resources, pre-assessments, and…
Descriptors: Learning Management Systems, Data Analysis, Electronic Learning, Student Behavior

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