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Jae-Yeop Jeong; JiYeon Oh; Jin-Woo Jeong – Education and Information Technologies, 2024
Pre-recorded lectures have become a prevalent approach in online education due to the proliferation of MOOC platforms and the COVID-19 pandemic. However, due to the lack of real-time interactions between instructors and learners, learners have encountered various difficulties in understanding the lectures and actively engaging with the learning…
Descriptors: Learning Experience, Teaching Methods, Cues, Video Technology
Leslie S. LeRoy; Renee Kaufmann; Derek R. Lane – Interactive Learning Environments, 2024
Technological advances and COVID-19 have led to expedited technology use and online learning in higher education. Increased technology use and online learning have led individuals to either adapt or experience technostress. Higher education is a ripe context for technostress to occur, especially for students, since many courses are being offered…
Descriptors: Video Technology, Electronic Learning, Technology Uses in Education, Stress Variables
Zhenchenko, Maryna; Melnyk, Oksana; Prykhoda, Yaroslava; Zhenchenko, Igor – International Review of Research in Open and Distributed Learning, 2022
This article defines 27 criteria for evaluating the functionality of e-learning platforms, grouped into three macro groups: (a) learning management, (b) learning content management, and (c) communications and collaboration tools. The proposed criteria can be used to evaluate any e-learning platform's functionality. They allow teachers and…
Descriptors: Foreign Countries, Electronic Learning, Integrated Learning Systems, Program Evaluation
Shen Yan; Liow Guat Eng; Lim Chui Seong – SAGE Open, 2024
Learning motivation is essential to online learning success. This study recognizes two aspects of learners' motivation for E-learning and proposed technology acceptance model as cognitive process and stimulus-organism-response as affective process to explain the undergraduates' continuous intention to use E-learning system based on…
Descriptors: Influences, Intention, Electronic Learning, Educational Technology
Ibrahim Hakki Bulut; Ömer Delialioglu – Interactive Learning Environments, 2024
The aim of this study is to construct a technology model, named as Online Learning Technology Engagement Model (OLTEM), to enhance our understanding in the adoption of an online learning technology. The study suggests a model covering the theoretical background of underlying motivational processes for technology engagement of students. The sample…
Descriptors: Electronic Learning, Educational Technology, Technology Uses in Education, Foreign Countries
Dahleez, Khalid Abed; El-Saleh, Ayman A.; Al Alawi, Abrar Mohammed; Abdelmuniem Abdelfattah, Fadi – International Journal of Educational Management, 2021
Purpose: This research examined the factors affecting several types of student engagement, namely agentic, behavioral, emotional and cognitive engagement. Specifically, it examined the effect of e-learning system usability on student engagement and explored teacher behavior's possible intervening impact on this relationship.…
Descriptors: College Students, Learner Engagement, COVID-19, Pandemics
John C. Hayvon – Higher Education Research and Development, 2025
Given the role of education in shaping social ideology, there is value in considering how learning spaces affect students' perceptions of inclusivity and social justice. This paper posits that ability as a central focus in education can intersect with marginalization arising from race, gender, class, and indigeneity, towards potential…
Descriptors: Equal Education, Spatial Ability, Cognitive Processes, Ideology
Deegan, Robin – International Journal of Mobile and Blended Learning, 2015
Mobile learning is cognitively demanding and frequently the ubiquitous nature of mobile computing means that mobile devices are used in cognitively demanding environments. This paper examines the use of mobile devices from a Learning, Usability and Cognitive Load Theory perspective. It suggests scenarios where these fields interact and presents an…
Descriptors: Electronic Learning, Media Adaptation, Cognitive Processes, Difficulty Level
Moreno, Valter; Cavazotte, Flavia; Alves, Isabela – British Journal of Educational Technology, 2017
Students' success in e-learning programs depends on how they adopt and embed technology into their learning activities. Drawing on the Technology Acceptance Model, we propose a framework to explain students' intention to use e-learning platforms effectively, that is, their intention to fully exploit system's functionalities in leaning processes,…
Descriptors: College Students, Electronic Learning, Intention, Student Attitudes
Léger, Pierre-Majorique; An Nguyen, Thanh; Charland, Patrick; Sénécal, Sylvain; Lapierre, Hugo G.; Fredette, Marc – Computers in the Schools, 2019
The study investigates how learner experience with applications (apps) and how app types (native vs. non-native) influence performance in reading comprehension. Twenty-five high school students used different apps to read four texts. The students were asked to use the annotation feature of the apps to facilitate their reading. Ease of use,…
Descriptors: Computer Software, Performance Factors, Student Experience, Reading Comprehension
de Villiers, M. R.; Becker, Daphne – Innovations in Education and Teaching International, 2017
From the perspective of parallel mixed-methods research, this paper describes interactivity research that employed usability-testing technology to analyse cognitive learning processes; personal learning styles and times; and errors-and-recovery of learners using an interactive e-learning tutorial called "Relations." "Relations"…
Descriptors: Mixed Methods Research, Tutorial Programs, Usability, Cognitive Processes
Al-Samarraie, Hosam; Selim, Hassan; Teo, Timothy; Zaqout, Fahed – Interactive Learning Environments, 2017
When faced with excessive detail in an online environment, typical users have difficulty processing all the elements of representation. This in turn creates cognitive overload, which narrows the user's focus to a few select items. In the context of e-learning, we translated this aspect as the learner's demand for a system that facilitates the…
Descriptors: Foreign Countries, Undergraduate Students, Instructional Design, Online Courses
Sage, Kara; Rausch, Joseph; Quirk, Abigail; Halladay, Lauren – Journal of Information Technology Education: Research, 2016
The present study focused on how self-control over pace might help learners successfully extract information from digital learning aids. Past research has indicated that too much control over pace can be overwhelming, but too little control over pace can be ineffective. Within the popular self-testing domain of flashcards, we sought to elucidate…
Descriptors: Vocabulary Development, Instructional Materials, Self Control, Pacing
Gutiérrez-Carreón, Gustavo; Daradoumis, Thanasis; Jorba, Josep – Educational Technology & Society, 2015
Currently there is an increasing trend to implement functionalities that allow for the development of applications based on Cloud computing. In education there are high expectations for Learning Management Systems since they can be powerful tools to foster more effective collaboration within a virtual classroom. Tools can also be integrated with…
Descriptors: Integrated Learning Systems, Educational Technology, Information Management, Internet
Beach, Pamela; Willows, Dale – Canadian Journal of Learning and Technology, 2014
This qualitative study examined an innovative methodology, combining screen capture technology and a retrospective think aloud, for exploring the use of Internet-based resources by elementary teachers. Pre-service and in-service teachers explored "The Balanced Literacy Diet," a free, interactive, and evidenced-informed professional…
Descriptors: Professional Development, Web Sites, Elementary School Teachers, Electronic Learning
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