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Kaitlyn Marie Richter – ProQuest LLC, 2023
The purpose of this quantitative correlational study was to know if and to what extent there was a relationship between self-determination and the dimensions of online learner readiness (motivation for learning, online communication self-efficacy, self-directed learning, learner control, and computer/internet self-efficacy) with online academic…
Descriptors: Community College Students, Distance Education, Electronic Learning, Learning Readiness
Nazish Shahid – Interactive Learning Environments, 2023
The current investigation reflects on the insufficient performance of students in virtual exams in the era of transformation of the physical mode of education to digital one due to the passive adaptation to the technical drive of the virtual environment, the tenuous command of platform's technical language, especially in mathematics and physics…
Descriptors: Evaluation Methods, Computer Assisted Testing, Academic Achievement, Electronic Learning
Roe, Molly – ProQuest LLC, 2023
The purpose of this study was to investigate the impact of online learning in a rural school district post-COVID-19. The study investigated students', parents', and teachers' experiences to gain insights into online learning as pandemic-related restrictions eased. Students' work-related attitudes and academic progress were also examined to…
Descriptors: Rural Schools, Electronic Learning, Distance Education, Outcomes of Education
Teresa M. Ober; Ying Cheng; Matthew F. Carter; Cheng Liu – Journal of Computer Assisted Learning, 2024
Background: Students' tendencies to seek feedback are associated with improved learning. Yet, how soon this association becomes robust enough to make predictions about learning is not fully understood. Such knowledge has strong implications for early identification of students at-risk for underachievement via digital learning platforms.…
Descriptors: Academic Achievement, Feedback (Response), Student Behavior, At Risk Students
Catherine Nabiem Akpen; Stephen Asaolu; Sunday Atobatele; Hilary Okagbue; Sidney Sampson – Discover Education, 2024
The rapid shift to online learning during the COVID-19 pandemic has significantly influenced educational practices worldwide and increased the use of online learning platforms. This systematic review examines the impact of online learning on student engagement and performance, providing a comprehensive analysis of existing studies. Using the…
Descriptors: Electronic Learning, Performance, Learner Engagement, Literature Reviews
Joshua Weidlich; Aron Fink; Ioana Jivet; Jane Yau; Tornike Giorgashvili; Hendrik Drachsler; Andreas Frey – Journal of Computer Assisted Learning, 2024
Background: Developments in educational technology and learning analytics make it possible to automatically formulate and deploy personalized formative feedback to learners at scale. However, to be effective, the motivational and emotional impacts of such automated and personalized feedback need to be considered. The literature on feedback…
Descriptors: Emotional Response, Student Motivation, Feedback (Response), Automation
Rashmi Singh; Shailendra Kumar Singh; Niraj Mishra – Education and Information Technologies, 2024
The integration of digital technologies into educational practices has reshaped traditional learning models, creating a dynamic and accessible global landscape for higher education. This paradigm shift transcends geographical boundaries, fostering a more interconnected and inclusive educational environment. This comprehensive literature analysis…
Descriptors: Electronic Learning, Influence of Technology, Information Technology, College Students
Shea E. Carr – ProQuest LLC, 2024
Motivation, belonging, and inclusion are all critical factors for student success but can be difficult to support in asynchronous online courses. Active learning and required group work have been shown to increase student motivation in in-person and synchronous online courses, but little is known about their impact in online asynchronous settings.…
Descriptors: Electronic Learning, Asynchronous Communication, Active Learning, Group Dynamics
Fehaid Lafi Alshammari – Journal of Education and e-Learning Research, 2024
Microlearning is a modern learning modality that has been adopted in recent years for student education. This study aimed to reveal the effect of video-based microlearning on the development of programming skills and technology acceptance among intermediate school students. The study used a quasi-experimental design for two groups. A technology…
Descriptors: Foreign Countries, Middle School Students, Programming, Computer Science Education
Vladislav H. Grozev; Matthew J. Easterbrook; Donna C. Jessop – European Journal of Psychology of Education, 2024
Previous research indicates that discipline identification -- the level of integration of one's discipline of study into the self-concept -- is associated with deep approaches to learning and academic self-efficacy. However, it is not known whether these relationships would hold in the context of learning during the COVID-19 pandemic. The present…
Descriptors: Foreign Countries, College Students, COVID-19, Pandemics
David Bull; Ashley Johansen; Dawn Kaiser; Samirah Merritt-Myrick; Patrice Nybro; Dan Santangelo; Lori Slater; James Tarr – Cogent Education, 2024
The purpose of this study is to investigate whether the implementation of a belongingness strategy positively influences student performance in an online higher education environment. Belonging is defined as a student's sense of being accepted, respected, encouraged and supported in their college environment by both peers and faculty. This study's…
Descriptors: Undergraduate Students, Online Courses, Distance Education, Electronic Learning
Ünal Çakiroglu; Mehmet Kokoç; Melek Atabay – Journal of Computing in Higher Education, 2024
This profiling study deals with the self-regulated learning skills of online learners based on their interaction behaviors on the learning management system. The learners were profiled through their interaction behaviors via cluster analysis. Following a correlational model with the interaction data of learners, the post-test questionnaire data…
Descriptors: Foreign Countries, Undergraduate Students, Teacher Education Programs, Educational Technology
Ean Teng Khor; Dave Darshan – International Journal of Information and Learning Technology, 2024
Purpose: This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course. Design/methodology/approach: The exploration and visualisation of the…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
J. Eric Ehrhart – ProQuest LLC, 2024
The study examined how school closures and the rapid transition to online learning may have impacted student performance. In March 2020, a global pandemic was declared in response to the quick spread of the COVID-19 virus. The impact of this global pandemic was felt across all areas of daily routines. Businesses closed, and many workers found…
Descriptors: COVID-19, Pandemics, Educational Change, Middle School Students
Aparicio, Gloria; Iturralde, Txomin; Maseda, Amaia – Journal of Further and Higher Education, 2021
This paper seeks to offer a better understanding of the existing literature regarding student engagement (SE), specifically at the higher education (HE) level. It provides an updated and holistic perspective based on compilation, organisation, and systematisation of all relevant SEHE research articles published from 1998 to 2018. The methodology…
Descriptors: Holistic Approach, Bibliometrics, Learner Engagement, Educational Research