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Anshita Chelawat; Richal Tuscano; Roshani Prasad; Seema Sant – International Journal of Learning Technology, 2025
This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…
Descriptors: Educational Technology, Electronic Learning, Graduate Students, Value Judgment
Wang, Qiang; Song, Xin; Hong, Jon-Chao; Li, Shuang; Zhang, Mengmeng; Yang, Xiantong – Education and Information Technologies, 2023
In response to the wide-ranging concern of online academic futility, the current study aimed to explore the independent variables and mediating variable from a novel perspective of parents during COVID-19. Based on the social comparison theory and the control-value theory of achievement emotions, social comparison and tutoring anxiety were…
Descriptors: Self Concept, Tutoring, Anxiety, Parent Attitudes
Tali Gazit – Information and Learning Sciences, 2024
Purpose: The purpose of this study was to obtain valuable insights into students' engagement and experiences within the virtual learning environment, especially in the context of crises. Among the innumerable challenges people throughout the world faced during the first year of the COVID-19 pandemic, those of students in institutions of higher…
Descriptors: Electronic Learning, Learner Engagement, COVID-19, Pandemics
Tai, David H. – ProQuest LLC, 2022
This research aimed to investigate how achievement emotions predict, mediate, and affect academic achievement in online learning. Online learning has been proliferating, but little is known about how emotion mediates cognition in the Community of Inquiry framework. Recent progress in cognitive neuroscience provided the theoretical foundation for…
Descriptors: Communities of Practice, Inquiry, Academic Achievement, Psychological Patterns
Karamimehr, Zahra; Sepehri, Mohammad Mehdi; Sibdari, Soheil – IEEE Transactions on Learning Technologies, 2020
In this article, we offer and test a nonsurvey-based method to characterize learner emotions. Our method, instead of using surveys, uses logs of learner behaviors in learning management systems (LMS) to reason about the emotional state of the e-learner. We use the control value theory (CVT) as the theoretical base of measuring emotions. Using this…
Descriptors: Electronic Learning, Psychological Patterns, Integrated Learning Systems, Academic Achievement
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
Hsu, Hui-Tzu; Lin, Chih-Cheng – British Journal of Educational Technology, 2022
Few studies have investigated the extension of the technology acceptance model (TAM) of mobile-assisted language learning (MALL) by incorporating psychological influence factors. We aimed to determine the factors affecting the continued adoption of MALL by college-age students of English as a foreign language (EFL). We extended the TAM by adding…
Descriptors: Technological Literacy, College Students, Electronic Learning, Handheld Devices
Lori Sue Maxwell – ProQuest LLC, 2022
Increased demand in the online environment prompted IHEs to evaluate if student feelings of connectedness can predict student satisfaction. The purpose of this quantitative correlational predictive study was to examine if and to what extent student comfort, community, facilitation, and collaboration predict student satisfaction for undergraduate…
Descriptors: Undergraduate Students, Electronic Learning, Psychological Patterns, Student Attitudes
Park, Minjung; Koo, Jayoung – Marketing Education Review, 2022
This study investigates the predictors of students' course evaluations and course grades in online team-based learning marketing courses during the COVID-19 pandemic. In Study 1, eighty-three undergraduate students taking a variety of team-based learning marketing courses at two different universities participated in an online survey. Multiple…
Descriptors: COVID-19, Pandemics, Predictor Variables, Course Evaluation
Tzafilkou, Katerina; Perifanou, Maria; Economides, Anastasios A. – Education and Information Technologies, 2021
Learning related emotions (LREs) are determinant for students' achievement both in face-to-face and online education. Research has also shown that LREs tend to affect technology acceptance which in turn affects learning outcomes as well. Today though, the negative psychological impact of the COVID-19 crisis and the sudden transmission to…
Descriptors: Negative Attitudes, Psychological Patterns, Difficulty Level, Electronic Learning
Jiang, Mei; Koo, Katie – Online Learning, 2020
The Community of Inquiry (CoI) framework posits that a collaborative online teaching and learning process can be achieved through three interdependent dimensions of presence: cognitive presence, social presence, and teaching presence. Emotion is considered an important factor in successful online learning. This study explored non-traditional…
Descriptors: Emotional Response, Psychological Patterns, Electronic Learning, Communities of Practice
Chien, Hsiang-Yu; Kwok, Oi-Man; Yeh, Yu-Chen; Sweany, Noelle Wall; Baek, Eunkyeng; McIntosh, William – Online Learning, 2020
The purpose of this study was to investigate a predictive model of online learners' learning outcomes through machine learning. To create a model, we observed students' motivation, learning tendencies, online learning-motivated attention, and supportive learning behaviors along with final test scores. A total of 225 college students who were…
Descriptors: Identification, At Risk Students, College Students, Psychological Patterns
Solak, Mehmet Sahin; Hava, Kevser; Mese, Can – Malaysian Online Journal of Educational Technology, 2019
For pre-service teachers, it is very important to use digital technology effectively and productively during their teacher training and in the educational institutions that they will work in the future. In this context, video development process is an effective learning environment in improving digital skills of students and acquisition of new…
Descriptors: Predictor Variables, Video Technology, Preservice Teachers, Multimedia Instruction
Juntunen, Henriikka; Tuominen, Heta; Viljaranta, Jaana; Hirvonen, Riikka; Toom, Auli; Niemivirta, Markku – Educational Psychology, 2022
We examined university students' experiences of remote teaching and learning, how the experiences are associated with well-being, and whether those associations differ according to motivation. Using latent variable modelling, we classified Finnish university students (N = 2686) based on their expectancy-value-cost profiles, compared latent means,…
Descriptors: Foreign Countries, College Students, Distance Education, Electronic Learning
Lee, Ju Seong; Lee, Kilryoung – British Journal of Educational Technology, 2021
This interdisciplinary research examines how Informal Digital Learning of English (IDLE) and the L2 Motivational Self System (consisting of "the ideal L2 self" and "the ought-to L2 self") are linked with Foreign Language Enjoyment (FLE). Together, these are flourishing research areas in computer-assisted language learning,…
Descriptors: Informal Education, Electronic Learning, Second Language Learning, English (Second Language)
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