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Andrew Walker; Naomi R. Aguiar; Raechel N. Soicher; Yu-Chun Kuo; Jessica Resig – Online Learning, 2024
In higher education, motivational factors are considered one of "the strongest predictors of academic performance" (Honike et al., 2020, p. 1). A meta-analysis of face-to-face (f2f) courses (Richardson et al., 2012) supports these claims, finding a strong correlation between performance self-efficacy and academic performance (r = 0.59),…
Descriptors: Student Motivation, Performance, Correlation, Electronic Learning
Iain A. Smith; Amanda Griffiths – International Journal of Training and Development, 2024
The need for workplace training about diversity, equity and inclusion is widely acknowledged. To date, however, there is conflicting evidence as to its effectiveness. Various aspects of design and content may be influential. This study explored the relationship between the terminology used in diversity training and trainee reactions. It employed…
Descriptors: Aggression, Emotional Response, Workplace Learning, Correlation
Muhammad Ayub Buzdar; Hamid Ikram – Online Learning, 2024
The effects of COVID-19 remained significant on university students' social and academic well-being. The pandemic raised various mental and psychological challenges for the students, and had the potential to deteriorate their academic engagement and performance in online learning environments. The emotion regulation theory hypothesizes that…
Descriptors: COVID-19, Pandemics, Stress Variables, Cognitive Processes
Shuwen Liu; Rui Yuan; Chuang Wang – Language Teaching Research, 2025
Teaching has always been an emotionally demanding profession, which involves tremendous emotional labour on the part of language teachers. This is particularly true for instructors of English as a foreign language (EFL) suddenly obliged to teach online during the COVID-19 pandemic. Drawing on the approach of autoethnographic self-study, this…
Descriptors: English (Second Language), Second Language Instruction, Language Teachers, Ethnography
Niu, Liwei; Wang, Xinghua; Wallace, Matthew P.; Pang, Hui; Xu, Yanping – Journal of Computer Assisted Learning, 2022
Background: In view of the widespread use of digital technologies in English as a foreign language (EFL) learning and the importance of students' approaches to learning (SAL) and digital competence, as well as the threats of technostress in digital settings, digital EFL learning requires a critical examination. Objectives: This study sought to…
Descriptors: English (Second Language), Educational Technology, Electronic Learning, Second Language Learning
Qazi, Zubaida; Qazi, Wasim; Raza, Syed Ali; Khan, Komal Akram – Journal of Applied Research in Higher Education, 2022
Purpose: The emergence of electronic learning during the COVID-19 outbreak has been the way by which higher education has attempted to save the situation. However, e-learning still causes psychological distress because of its crackups and fear. Hence, the authors aim to study the impact of e-learning crackup on fear of academic year loss and…
Descriptors: Stress Variables, Psychological Patterns, College Students, Electronic Learning
Nassr, Rasheed Mohammad; Aldossary, Alia Ahmed; Nasir, Haidawati – Malaysian Journal of Learning and Instruction, 2021
Purpose: This study explored students' perspective of using emotion-aware Virtual Learning Environment (VLE) in Malaysia's higher education institutions. The purpose is to investigate the relationships amongst dimensions of Technology Readiness Index (TRI), attitude, intention to use VLE, and lecturer interaction. The outcomes concerned the…
Descriptors: Intention, Adoption (Ideas), Virtual Classrooms, Electronic Learning
Yeh, Yu-chu; Chu, Ling-Hui – Educational Technology Research and Development, 2018
Few studies have investigated whether harmonious passion (HP) and obsessive passion (OP) make a distinctive contribution to explaining individual differences in knowledge management through self-regulation in e-learning contexts. This study aimed to identify four types of passion (internal HP, external HP, internal OP, and external OP) in…
Descriptors: Electronic Learning, Knowledge Management, College Students, Likert Scales
Wu, Jiun-Yu; Liao, Chen-Hsuan; Cheng, Tzuying; Nian, Mei-Wen – Educational Technology & Society, 2021
Amid the pandemic of coronavirus diseases, virtual conferences have become an alternative way to maintain the prosperity of the research community. This study investigated attendees' participatory behavior in a virtual academic conference (TWELF2020, Taiwan) and studied the interrelationship among their mastery experience, competence, and…
Descriptors: Data Analysis, Behavior Patterns, Psychological Patterns, Videoconferencing
Pachman, Mariya; Arguel, Amaël; Lockyer, Lori; Kennedy, Gregor; Lodge, Jason M. – Australasian Journal of Educational Technology, 2016
Research on incidence of and changes in confusion during complex learning and problem-solving calls for advanced methods of confusion detection in digital learning environments (DLEs). In this study we attempt to address this issue by investigating the use of multiple measures, including psychophysiological indicators and self-ratings, to detect…
Descriptors: Eye Movements, Cognitive Processes, Electronic Learning, Problem Solving
Smidt, Esther; Bunk, Jennifer; Li, Rui; McAndrew, Ashley; Florence, Matthew – IAFOR Journal of Education, 2016
This quantitative study investigated student attitudes toward distance education at a midsized, mid-Atlantic state university in the United States. The research question was: Do feelings of excitement and fear moderate and/or mediate the relationship between online learning experiences and student opinions about the current state of online…
Descriptors: Student Attitudes, Distance Education, Educational Attitudes, Fear
Lee, Jeong-Kyu – Higher Education Review, 2011
This article discusses relations between happiness and higher education in the age of information, focusing on the need for the university to pursue happiness. Three questions are addressed. First, why should higher education pursue happiness? Second, what are the shapes and characteristics of higher education in the information age? Third, what…
Descriptors: Higher Education, Psychological Patterns, Correlation, Universities
Ashford, Roslyn La'Toya – ProQuest LLC, 2014
The study compared traditional and nontraditional students' attitudes about the psychosocial learning environment and their influence on self-efficacy, enjoyment of online learning, and student satisfaction by using Moos' (1979) Model of Environmental and Personal Variables and the three dimensions of social climate as its theoretical framework.…
Descriptors: College Students, Nontraditional Students, Electronic Learning, Conventional Instruction
Butz, Nikolaus T.; Stupnisky, Robert H.; Pekrun, Reinhard – Research in Learning Technology, 2015
Synchronous hybrid delivery (simultaneously teaching on-campus and online students using web conferencing) is becoming more common; however, little is known about how students experience emotions in this learning environment. Based on Pekrun's (2006) control-value theory of emotions, the dual purpose of this study was first to compare synchronous…
Descriptors: Electronic Learning, Blended Learning, Web Based Instruction, Computer Mediated Communication
Hassell, Martin D.; Goyal, Sandeep; Limayem, Moez; Boughzala, Imed – Administrative Issues Journal: Education, Practice, and Research, 2012
The level of satisfaction and effectiveness of 3D virtual learning environments were examined. Additionally, 3D virtual learning environments were compared with face-to-face learning environments. Students that experienced higher levels of flow and presence also experienced more satisfaction but not necessarily more effectiveness with 3D virtual…
Descriptors: Electronic Learning, Virtual Classrooms, Conventional Instruction, Comparative Analysis
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