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Louise Campbell; Helen Coker – Discover Education, 2025
Online higher education is by no means a new phenomenon but, with the COVID-19 pandemic that began in 2020, attention was refocused on the capacity of online teaching and learning to meet students' affective and social needs. Positive relationships support these needs but can be challenging to develop when working online. Attending to the…
Descriptors: Online Courses, Higher Education, Electronic Learning, Culture
Ordene V. Edwards – Journal of Education and Learning, 2025
Motivation is critical to student success in learning environments. However, changes in situation-specific motivation over time are rarely explored among online learners. Drawing from the Situated Expectancy Theory (SEVT), in the current study, I examined changes in situational task-specific task value and cost over the short term and tested the…
Descriptors: Student Motivation, Electronic Learning, College Students, Online Courses
Luping Wang; Yun Hao; Shanshan Wang – Discover Education, 2025
In the traditional teaching mode, it is difficult for teachers to have a comprehensive understanding of each student's study, and it is also hard for them to provide targeted guidance and assistance. With the development of data collection and analysis technology, schools and educational institutions can make better use of big data technology to…
Descriptors: College Students, Predictor Variables, Scores, Academic Achievement
Noel Carroll; Michael Lang; Cornelia Connolly – Innovations in Education and Teaching International, 2025
In response to the COVID-19 pandemic, universities across the world were forced to move from a classroom-based delivery model to an online learning model which heavily disrupted the learning process for students. Despite proactive efforts for academic staff to embrace online teaching tools and techniques, the pressing urgency with which solutions…
Descriptors: Inquiry, Electronic Learning, COVID-19, Pandemics
Evans Sokro; Theresa Obuobisa-Darko; Bernard Okpattah – International Journal of Educational Management, 2025
Purpose: This study examines learner satisfaction and success as mechanisms through which online learning quality translates into learners' continuous intentions of use by extending DeLone and McLean's information system success model. It also examines the moderating effect of perceived supervisory support and learners' self-regulation on online…
Descriptors: Student Attitudes, Student Satisfaction, Academic Achievement, Electronic Learning
Kate Graham; George Stuart; Tina McAdie – Journal of College Student Retention: Research, Theory & Practice, 2025
Student attrition is now a global problem in Higher Education with most institutions experiencing high volumes of early exiting students. However, student resilience has yet to be adequately explored, particularly among the increasing online student population, as a possible mechanism to reduce attrition rates. In the present study, online,…
Descriptors: Academic Persistence, Undergraduate Students, Electronic Learning, Resilience (Psychology)
Helen Benson; Keith Heggart; Kylie A. Williams; Chloé Smit; Patrick Abela – TechTrends: Linking Research and Practice to Improve Learning, 2025
This article investigates the effectiveness of a newly developed online tool for assessing and improving the design and accessibility of Learning Management System (LMS) sites in Higher Education. The study employs a mixed-methods approach, incorporating both quantitative and qualitative data. Results from 25 subject coordinators and 3 peer…
Descriptors: Blended Learning, Learning Management Systems, Higher Education, Usability
Hyejoo Yun; Hae-Deok Song; YeonKyoung Kim – European Journal of Psychology of Education, 2025
Self-regulated learning (SRL) is critical in online learning, and profiling learners' SRL patterns is needed to provide personalized support. However, little research has examined how each learner performs the cyclical phases of SRL based on trace data. To fill the gap, this study attempts to derive SRL profiles encompassing all cyclical phases of…
Descriptors: College Students, Electronic Learning, Distance Education, Self Management
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
Xiangju Meng; Zhenfang Hu; Dan Jia – International Journal of Educational Management, 2025
Purpose: This paper aims to explore the impact of a digital growth mindset on the academic performance of business students in China as well as the role of gender in this relationship. The study provides feasible ways to foster such a mindset to ensure quality in business education. Design/methodology/approach: The paper employs a survey to…
Descriptors: Foreign Countries, Business Education, College Students, Cognitive Structures
Yael Yossel-Eisenbach; Aleksandra Gerkerova; Nitza Davidovitch – European Educational Researcher, 2025
The increasing reliance on digital technologies in higher education has significantly transformed teaching and learning practices, highlighting the distinct roles of research- and teaching-oriented faculty in digital pedagogy. Researchoriented faculty contribute to active digital learning by promoting critical thinking, problem-solving, and…
Descriptors: College Faculty, Teaching Methods, Learning Experience, Electronic Learning
Ashley Nielsen; Dale Crowe – Journal of Online Graduate Education, 2025
Academic advising plays a vital role in shaping the student experience and significantly impacts an institution's retention rate. When students establish a supportive relationship with an academic advisor, they feel more connected to their institution and are more likely to remain engaged. Identifying proactive strategies in online learners'…
Descriptors: Business Education, Electronic Learning, Alumni, Academic Advising
Yunyun Liu; Yinghua Ye – European Journal of Psychology of Education, 2025
Self-regulated learning (SRL) is the key variable to ensuring success or failure in online learning. However, in real-world online learning, college students face SRL deficiency, such as procrastination, decreased learning motivation, poor time management, and resource management. Therefore, scientifically exploring how to effectively promote the…
Descriptors: Individualized Instruction, Cooperative Learning, Electronic Learning, Small Group Instruction
Yu Liu; Jing Zhang; Miranda May McIntyre; Gölge Seferoglu; Montgomery Van Wart – International Journal of Adult Education and Technology, 2025
This study investigates students' perceptions of rehearsal (test preparation) and testing after the pandemic forced increased online teaching use and experimentation. Data was gathered from information and decision sciences (IDS) students in an underrepresented minority (URM) serving university. Responses from 136 participants were analyzed and…
Descriptors: Test Preparation, Electronic Learning, Testing, Student Attitudes
Jennie Golding – International Journal for Academic Development, 2025
Doctoral supervision is complex and takes place against a background of contextual, political, economic, and cultural affordances/constraints; with multiple purposes; and in a global higher education system. The result can be significant tensions for supervisors and, often, poor student satisfaction and progression. Globally, systematic…
Descriptors: Doctoral Programs, Supervisors, Professional Development, Electronic Learning