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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
Ryan S. Baker; Stephen Hutt; Nigel Bosch; Jaclyn Ocumpaugh; Gautam Biswas; Luc Paquette; J. M. Alexandra Andres; Nidhi Nasiar; Anabil Munshi – Educational Technology Research and Development, 2024
In this paper, we propose a new method for selecting cases for in situ, immediate interview research: detector-driven classroom interviewing (DDCI). Published work in educational data mining and learning analytics has yielded highly scalable measures that can detect key aspects of student interaction with computer-based learning in close to…
Descriptors: Electronic Learning, Anxiety, Metacognition, Data Collection
Sabita Mahapatra; Shivendra Kumar Pandey – International Journal of Educational Management, 2025
Purpose: The COVID-19 pandemic compelled educational institutions to shift from classroom interactions to electronic learning (e-learning). This study uses eTAM with usability dimensions to examine the use of e-learning for core academic activities during the COVID-19 pandemic. Leveraging the switching value framework, it investigates students'…
Descriptors: Electronic Learning, COVID-19, Pandemics, Extracurricular Activities
Chenxi Liu; Yixi Wang; Marvin Evans; Ana-Paula Correia – Education and Information Technologies, 2024
Mobile learning has gained significant recognition for its beneficial effects on learning across various dimensions. Nonetheless, ensuring consistent learner acceptance of mobile learning remains a critical factor to address. This meta-analysis study is the first comprehensive examination of critical antecedents impacting learners' perceived…
Descriptors: Handheld Devices, Telecommunications, Electronic Learning, Usability
Ana E. Redstone; Tian Luo – TechTrends: Linking Research and Practice to Improve Learning, 2024
This article focuses on the practical implementation of Universal Design for Learning (UDL) in an online computer science course, articulating the collaborative efforts between the instructional designer (the first author) and the faculty member to redesign the course using UDL principles. Specific instances of redesigned learning modules and…
Descriptors: Electronic Learning, Computer Science, Student Empowerment, Higher Education
Greta R. Underhill; Cat Turk – Online Learning, 2024
Although instructors in higher education are oftentimes content matter experts, they may not have received training on instructional design or inclusive practices, such as Universal Design for Learning. However, instructors may serendipitously implement aspects of UDL without full knowledge of the framework. This qualitative study used sensemaking…
Descriptors: Usability, Electronic Learning, Teacher Attitudes, Curriculum Design
Design and Validation of a Usability Evaluation Questionnaire (UEQ) for Mobile Learning Applications
Bimal Aklesh Kumar; Sailesh Saras Chand – Interactive Technology and Smart Education, 2024
Purpose: Usability is one of the key concerns in the development of mobile learning applications. The aim of this paper is to design and validate a usability evaluation questionnaire (UEQ) for mobile learning applications. Design/methodology/approach: The UEQ was developed in four stages: selecting primary studies and extracting usability…
Descriptors: Questionnaires, Design, Usability, Electronic Learning
A Qualitative Descriptive Study Exploring Online Undergraduate Students' Use of Instructional Videos
Belinda Post McFerren – ProQuest LLC, 2024
The purpose of this qualitative descriptive study was to explore how online undergraduate students describe their use of instructional videos and their perceptions of the ease of use, usefulness, and enjoyment of instructional videos in colleges in the southeastern United States. According to the Technology Acceptance Model (TAM), the use of…
Descriptors: Undergraduate Students, Electronic Learning, Technology Uses in Education, Instructional Films
Yiming Liu; Lingyun Huang; Tenzin Doleck – Education and Information Technologies, 2024
Learning analytics dashboards (LADs) are emerging tools that convert abstract, complex information with visualizations to facilitate teachers' data-driven pedagogical decision-making. While many LADs have been designed, teachers' capacities for using such LADs are not well articulated in the literature. To fill the gap, this study provided a…
Descriptors: Learning Analytics, Teacher Attitudes, Self Management, Psychological Patterns
Necati Vardar; Çagri Gümüs; Mehmet Akif Gündüz – Turkish Online Journal of Educational Technology - TOJET, 2024
Distance education and e-learning have become pivotal during the COVID-19 pandemic, offering a solution to maintain education continuity amidst restrictions. This study delves into the application of the Technology Acceptance Model (TAM) to assess the acceptance and utilization of e-learning among university students, with a particular focus on…
Descriptors: Foreign Countries, Distance Education, Electronic Learning, COVID-19
Pengfei Yang; Shaowen Qian – SAGE Open, 2025
E-learning has revolutionized the educational landscape, changing how knowledge is imparted to students and enhancing the learning process. Despite the growing popularity of e-learning worldwide, a lingering question remains regarding the behavioral intentions of Physical Education students toward its use. This study endeavors to address this…
Descriptors: Foreign Countries, Physical Education, Intention, Electronic Learning
Ruchika Vatsa; Purnima Bhatnagar – International Journal of Information and Learning Technology, 2024
Purpose: The purpose of this paper is to apply systems modeling to explore the usability of the online learning platform in the future compared to its usefulness during the pandemic era. Design/methodology/approach: The applied systems research methodology has been used to develop a stock-flow model encompassing enablers and constraints for…
Descriptors: Electronic Learning, Student Behavior, Student Motivation, COVID-19
Gaojun Shi; Jiaping Li; Junfeng Yang – Interactive Learning Environments, 2024
Online learning became more commonplace all over the world in the post-pandemic era; however, the research on how to promote Online Persistent Learning (OPL) was still in its infancy. Therefore, this study aimed to analyse the influencing factors of Online Persistent Learning Supported by Intelligent Technology (OPLSIT) based on the dimensions of…
Descriptors: Electronic Learning, Academic Persistence, Recall (Psychology), Information Technology
Bimal Aklesh Kumar; Sailesh Saras Chand; Munil Shiva Goundar – International Journal of Information and Learning Technology, 2024
Purpose: Mobile learning has seen tremendous growth over the years. Like any other software application, usability is one of the key concerns in its successful implementation. There is a lack of study that provides a comprehensive overview of usability testing of mobile learning applications. Motivated by this a mapping study is conducted.…
Descriptors: Usability, Electronic Learning, Computer Software, Computer Oriented Programs
Kavitha Naicker; Mari van Wyk – International Journal of Education and Development using Information and Communication Technology, 2025
Since the introduction of technological advancements in the 1990s, technology has permeated various aspects of our homes and livelihoods, including the educational system. This shift has led to a greater reliance on web-based tools in education, further accelerated by the COVID-19 pandemic in 2020, which forced many institutions to transition to…
Descriptors: Public Health, Health Education, Electronic Learning, College Students