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Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
Zui Cheng; Zhuo Zhang; Qian Xu; Yukiko Maeda; Peidi Gu – Journal of Computing in Higher Education, 2025
Research on academic performance in online education proliferated in the last decade; however, our current understanding of the relationship between self-regulated learning and academic performance in online learning environments remains scattered. This meta-analysis provides a holistic view of the relationship between learners' use of…
Descriptors: Meta Analysis, Independent Study, Learning Strategies, Academic Achievement
Shipra Pathak; Navjit Singh – Journal of Educators Online, 2024
The purpose of this study is to explore the mediating role of satisfaction on attitude and usage continuity of higher education students in National Assessment and Accreditation Council accrediated institutes in India in the context of an elearning environment. To investigate the issue, we collected data from 634 students in the elearning…
Descriptors: Electronic Learning, Foreign Countries, Developing Nations, Higher Education
Lulaj, Enkeleda – International Journal of Instruction, 2022
This paper presents empirical evidence on financial-stress (FSF) and educational-teaching (ETF) factors to students. Therefore, the purpose of this research was to identify whether these factors were related to each-other, as well as if they affected students' performance during online learning during the Cov19 pandemic. Correlation analysis…
Descriptors: Correlation, Financial Problems, COVID-19, Pandemics
Abdulvahap Sönmez; Nilgün Özdamar – Open Praxis, 2024
The aim of this study is to examine the variables that influence the learners' intention of using online learning platforms and usage behavior continuity to evaluate relationships between variables with a model proposal and to determine the predictive power of the model. Accordingly, a sustained technology acceptance model (STAM) was developed to…
Descriptors: Intention, Electronic Learning, Open Education, Student Behavior
Abusebaa, Manar G. – ProQuest LLC, 2023
This quantitative-correlational study aimed to assess to which extent the higher education institutions in West Bank- Palestine practice e-leadership during crises. The researcher mainly evaluated the relationship between leader personality and skills, leader social awareness, resources availability and e-leadership. For data collection, the…
Descriptors: Foreign Countries, Electronic Learning, Correlation, Instructional Leadership
San-Martín, Sonia; Jiménez, Nadia; Rodríguez-Torrico, Paula; Piñeiro-Ibarra, Irati – Education and Information Technologies, 2020
Technological evolution involves a challenge for teachers and higher education institutions to achieve e-learning success. This paper addresses this issue from the teachers' perspective to reveal what characteristics of the e-learning system affect teachers' continuance commitment and contribute to the increase and permanence of e-learning…
Descriptors: Electronic Learning, Higher Education, Teacher Attitudes, Teacher Characteristics
Rahim, Nur Nadiah Abdul; Humaidi, Norshima; Aziz, Siti Rahayu Abdul; Zain, Nurul Hidayah Mat – Asian Journal of University Education, 2022
The COVID-19 pandemic has impacted higher education in Malaysia that requires the academics to transform their teaching style to online teaching. Hence, it is essential for them to be skillful in using new technology in teaching and learning. In Open and Distance Learning (ODL), the academic staff must learn a new environment of learning…
Descriptors: COVID-19, Pandemics, Readiness, Distance Education
Goh, Tiong-Thye; Yang, Bing – International Journal of Educational Technology in Higher Education, 2021
E-learning systems are widely deployed in higher education institutions but sustaining students' continued use of e-learning systems remains challenging. This study investigated the relationship between e-learning engagement, flow experience and learning management system continuance via a mediated moderation interaction model. The context of the…
Descriptors: Electronic Learning, Blended Learning, Integrated Learning Systems, Higher Education
Bylieva, Daria; Hong, Jon-Chao; Lobatyuk, Victoria; Nam, Tatiana – Education Sciences, 2021
The COVID-19 pandemic has contributed to the accelerated spread of e-learning around the world. In e-learning, self-regulation becomes more relevant than ever. Reducing the influence of traditional features of the face-to-face learning environment and increasing the impact of the e-environment place high demands on students' self-regulation. The…
Descriptors: Self Management, Electronic Learning, Online Courses, COVID-19
Ameen, Nisreen; Willis, Robert; Abdullah, Media Noori; Shah, Mahmood – British Journal of Educational Technology, 2019
This study aims to analyse the factors that can explain the adoption and effective use of a new e-learning system in Iraq. To achieve this, it uses a selection of factors that are present in the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT) model, and it includes three additional factors. The…
Descriptors: Technology Integration, Electronic Learning, Higher Education, Foreign Countries
Dommett, Eleanor J. – Education and Information Technologies, 2019
The aim of this study was to better understand how students use online forums and Twitter in undergraduate learning. Students completed an anonymous online survey (N = 50, 54% completion rate) to assess their general approach to these tools, the types of interaction experienced and specific uses. Students were also asked to relate their use to…
Descriptors: Undergraduate Students, Social Media, Computer Mediated Communication, Higher Education
Elumalai, Kesavan Vadakalu; Sankar, Jayendira P.; R., Kalaichelvi; John, Jeena Ann; Menon, Nidhi; Alqahtani, Mufleh Salem M.; Abumelha, May Abdulaziz – Journal of Information Technology Education: Research, 2020
Aim/Purpose: The objective of the research was to study the relationship of seven independent factors: administrative support, course content, course design, instructor characteristics, learner characteristics, social support, and technical support on quality of e-learning in higher education during the COVID-19 pandemic. Further, the study…
Descriptors: COVID-19, Pandemics, Electronic Learning, Educational Technology
Jelinska, Magdalena; Paradowski, Michal B. – Online Learning, 2021
The COVID-19 pandemic required educators and learners to shift to emergency remote instruction, often with little prior notice. To understand how teachers managed the transition, from April to September 2020 we surveyed nearly 1,500 instructors from 118 countries. Using cluster analysis, we have detected two readily distinguishable groups of…
Descriptors: Teacher Participation, Teacher Attitudes, Teacher Characteristics, Coping
Hruška, Ing. Zdenek – Turkish Online Journal of Educational Technology - TOJET, 2018
Teaching of accounting is specific due to its frequently updated content, because Czech legal regulations significantly change annually, either because of the legislative or harmonization modifications, hence there is a need to constantly seek new ways to ensure a good quality of teaching in the efficient education process. The paper is based on…
Descriptors: Teaching Methods, Educational Quality, Instructional Innovation, Accounting