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Samantha Szcyrek; Bonnie Stewart; Erica Miklas – Research in Learning Technology, 2024
Research has shown that critical data literacies development for educators is seldom a core component of most campus conversations about datafication, even as extractive, datafied systems become pervasive throughout the higher education sector. This article outlines findings from an international, qualitative, Comparative Case Study (CCS) of…
Descriptors: Electronic Learning, College Faculty, Data, Distance Education
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
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
Raul Nick Cabrera; Velma Dora Menchaca; Marie Simonsson; Hilda Silva – International Journal of Technology in Education and Science, 2024
The purpose of this research was to obtain faculty perceptions of online instruction and educational technology in higher education. Data was collected from eight participants through interviews and open-ended questions at a higher education institution. Results showed that faculty consider that online instruction is only possible for certain…
Descriptors: College Faculty, Teacher Attitudes, Electronic Learning, Distance Education
Heather D. Hussey; Tara Lehan; Kate McConnell – Learning Assistance Review, 2024
Rubrics (e.g., Valid Assessment of Learning in Undergraduate Education (VALUE) rubrics) that measure specific skills exist, and researchers have demonstrated their benefits; however, most of them were designed for use with undergraduate students. Although some rubrics have been created to assess dissertations and oral defenses, few have been…
Descriptors: Scoring Rubrics, Doctoral Programs, Doctoral Dissertations, Online Courses
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
Samar Aad; Manal Ginzarly; F. Jordan Srour – Online Learning, 2024
While the outcome of the COVID-19 pandemic was largely the same across higher education institutions (HEI) -- a rapid transition to online teaching and learning (OTL) -- the processes and institutional support leading to this transition varied greatly. As such, the perception and anxieties experienced by faculty warrant exploration as these…
Descriptors: COVID-19, Pandemics, Electronic Learning, Distance Education
Zahrotush Sholikhah; Wiwiek Rabiatul Adawiyah; Bambang Agus Pramuka; Eka Pariyanti – Journal of International Education in Business, 2024
Purpose: Although the academic literature provides extensive insight into the motivations for the unethical use of information technology in online classes, little is known about how perceived justice, the opportunity to cheat and spiritual legitimacy mitigate unethical behavior among young academics. The purposes of this study are two folds:…
Descriptors: Cheating, Electronic Learning, Student Behavior, Religious Factors
Madeline R. Shellgren – ProQuest LLC, 2024
This dissertation is positioned as asynchronous educator professional development and is designed and written to be an "experience" (spotlighting the rhetorical potentials of text-based asynchronous engagement). It attempts to call attention to, through its design, the very things it discusses. In this way, this dissertation is…
Descriptors: Asynchronous Communication, Electronic Learning, Faculty Development, Rhetoric
Ferhan Sahin; Gizem Yildiz – Journal of Computer Assisted Learning, 2024
Background: Despite the significant emphasis on self-determination in special education and the crucial role of mobile learning, there is a notable absence of path modelling studies that explore the effect of self-determination on the usage of mobile learning by students with special needs. Objectives: This study sought to investigate the…
Descriptors: College Students, Special Needs Students, Assistive Technology, Electronic Learning
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
Lothes, John E., II; Matney, Sara; Naseer, Zayne; Pfyffer, Riley – Mind, Brain, and Education, 2023
Research shows that mindfulness interventions for test anxiety in a college student population are beneficial (Lothes, Matney, & Naseer, 2022). This study assessed the effects of online mindfulness practices over a 5-week period on anxiety and test anxiety in college students. Participants included 20 students that were randomly assigned to…
Descriptors: Metacognition, Test Anxiety, College Students, Electronic Learning
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