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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
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
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
Tal Samuel-Azran; Shira Goldberg; Tsahi Hayat; Yair Amichai-Hamburger – SAGE Open, 2025
Social factors, including social ties (the extent to which students form social ties with other students in the course) and social capital (the resources which are accessed through our social networks), have been acknowledged as important predictors of learning outcomes. Furthermore, they may be particularly important in online distance learning…
Descriptors: Social Capital, Electronic Learning, Online Courses, Student Satisfaction
Ntshimane Elphas Mohale – Research in Social Sciences and Technology, 2025
First-year students in a distance learning institution face academic writing challenges arising from inadequate writing skills developed in high school, the need to adapt to new writing standards, and limited language proficiency. These challenges could potentially lead to higher dropout' rates, increased failures, and delayed qualification…
Descriptors: Educational Media, Audio Equipment, Telecommunications, College Freshmen
Chengze Zeng – European Journal of Psychology of Education, 2025
Online learning has become an integral part of students' learning, and the development of internet-specific epistemic justification (ISEJ) has considerable significance in promoting learners' online learning effectiveness. This study aimed to explore the roles of college students' grades, learning media preference, online learning engagement…
Descriptors: College Students, Electronic Learning, Distance Education, Internet
K. Talman; J. Vierula; T. Karihtala; E. Laakkonen; J. Engblom; E. Haavisto – Higher Education Quarterly, 2025
Higher education institutions need to develop valid, fair, and objective selection methods. Current literature reporting the development and validation of new national large-scale selection tests is scarce. This two-phased study aimed to (1) develop and (2) evaluate the validity of the Finnish digital Universities of Applied Sciences Entrance…
Descriptors: Admission Criteria, Test Construction, Test Validity, Computer Assisted Testing
Jiahui Du; Khe Foon Hew; Long Zhang – Education and Information Technologies, 2025
Self-regulated learning (SRL) is a prerequisite for successful learning. However, studies have reported that many students struggle with self-regulation in online learning, indicating the need to provide students with additional support for SRL. This study adopted a design-based research methodology to iteratively design, implement, and evaluate…
Descriptors: Independent Study, Artificial Intelligence, Electronic Learning, Graduate Students
Ayse Eliüsük Bülbül; Serap Yilmaz Özelçi – Education and Information Technologies, 2025
This study is significant as it seeks to establish the connection between the digital literacy levels of pre-service teachers and their teacher identities while also examining the mediating role of mobile learning in this relationship. Additionally, it explores the impact of pre-service teachers' digital literacy and learning motivations on their…
Descriptors: Mediation Theory, Electronic Learning, Learning Motivation, Preservice Teachers
Virtual Pathways to Authentic Learning: Exploring Instructional Technology Intern Experiences Online
Laura McNeill; Mohammad Mohi Uddin; Lesley Regalado – TechTrends: Linking Research and Practice to Improve Learning, 2025
Although research exists on traditional and virtual internships, there is a significant gap in understanding virtual instructional technology (IT) internships for graduate students. Specifically, this study addresses three key areas: (1) the unique benefits and challenges experienced by graduate students in virtual IT internships, (2) the…
Descriptors: Authentic Learning, Educational Technology, Guided Pathways, Internship Programs
Navid Ghannad; Anna Sörensson – Industry and Higher Education, 2025
Purpose: This study examines the transformative effects of the COVID-19 pandemic on entrepreneurial education during and after the pandemic. Methodology: Using action research-based case study with a mixed data collection method, that spans pre-, during, and post-COVID-19. Data collection involved class discussions in a final mandatory class,…
Descriptors: COVID-19, Pandemics, Entrepreneurship, Educational Change
The Impact of Visualizations with Learning Paths on College Students' Online Self-Regulated Learning
Xiaoqing Xu; Wei Zhao; Yue Li; Lifang Qiao; Jinhong Tao; Fengjuan Liu – Education and Information Technologies, 2025
The success of online learning relies on college students' self-regulated learning. The common visualizations (e.g., presentation learning behaviors' frequency and duration) are widely used to enhance online self-regulated learning. But most college students still have difficulty in accurately understanding their learning patterns and…
Descriptors: Individualized Instruction, Electronic Learning, College Students, Visualization
Michelle E. Bartlett; James E. Bartlett II – Online Journal of Distance Learning Administration, 2025
Online doctoral students face unique challenges in completing their dissertations, with faculty mentoring playing a crucial role in their success or attrition. This study explores online doctoral students' viewpoints of faculty dissertation mentoring, identifying distinct mentoring viewpoints. Using Q methodology, we examine how students…
Descriptors: Electronic Learning, Doctoral Students, Student Attitudes, Doctoral Dissertations