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Jing Yu – Asia Pacific Journal of Education, 2025
Blended learning (BL) is experiencing significant growth due to the practical needs of business administration tertiary education. As a result, a combination of online and offline teaching has become the "new normal" for students participating in higher education. Employing innovative BL learning models could improve student engagement,…
Descriptors: Blended Learning, Models, Learner Engagement, Academic Achievement
Eric T. McChesney; Christian D. Schunn; Linda DeAngelo; Erica McGreevy – International Journal of STEM Education, 2025
Background: This study breaks new ground by presenting a new, more sophisticated model of learning engagement that goes beyond the current state of the art embodied in the widely used Affective-Behavioral-Cognitive (ABC) model. This work synthesizes and builds upon neglected lines of research in the structure of affective engagement. It also…
Descriptors: Models, Learner Engagement, Academic Achievement, Affective Behavior
Endriani, Dewi; Sitompul, Harun; Mursid, R.; Dewi, Rahma – International Journal of Education in Mathematics, Science and Technology, 2022
The research aimed to develop a volleyball lower passing model based on an umbrella learning approach. The method used was research and development. This study was conducted in small-scale and large-scale trials. There were performance tests, written tests, and questionnaires to determine the effectiveness of models developed against students'…
Descriptors: Team Sports, Teaching Methods, Models, Instructional Effectiveness
Zhai, Xuesong; Xu, Jiaqi; Chen, Nian-Shing; Shen, Jun; Li, Yan; Wang, Yonggu; Chu, Xiaoyan; Zhu, Yumeng – Journal of Educational Computing Research, 2023
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Online Courses
Martínez-Pérez, Margarita – Journal for the Study of Education and Development, 2022
This study focuses on examining the importance of affectivity and humour as part of Learning by Observing and Pitching In to family and community endeavours (LOPI). Specifically, it highlights the role of laughter in the form of a spontaneous expression of a certain type of humour. This laughter is the central element for coexistence during…
Descriptors: Foreign Countries, Children, Humor, Affective Behavior
Qi Zhang – International Journal of Educational Technology in Higher Education, 2024
This study investigates how engagement (E), foreign language enjoyment (FLE), and ambiguity tolerance (AT) exert mediation/moderation in metaverse-based foreign language learning (FLL). Featuring augment/simulation-based experiences and self-fulfillment/external-control-oriented mechanics, metaverse provides virtualized interactive circumstances…
Descriptors: Second Language Learning, Second Language Instruction, Cognitive Style, Affective Behavior
Carranza Rogerio, Brenda; Yan, Yu; Cooper, Eric Wallace – International Journal of Technology in Education, 2023
The growing integration of technology into education, particularly in the STEM fields, has tended to focus on its objective advantages, ignoring its affective potential. To explore this potential, based on some principles of "Kansei/Affective Engineering," an initial analysis was conducted considering 501 interventions in a conversation…
Descriptors: Affective Behavior, Feedback (Response), STEM Education, Electronic Learning
T. S., Ashwin; Guddeti, Ram Mohana Reddy – Education and Information Technologies, 2020
Predicting the students' emotional and behavioral engagements using computer vision techniques is a challenging task. Though there are several state-of-the-art techniques for analyzing a student's affective states in an e-learning environment (single person's engagement detection in a single image frame), a very few works are available for…
Descriptors: Identification, Psychological Patterns, Affective Behavior, Classroom Environment
Barbara Means; Julie Neisler – Online Learning, 2023
Learner engagement is well-established as critical for learning online. Professional development for online instructors emphasizes techniques for engaging students, and learning technology products tout features intended to promote engagement (e.g., adaptive content, video, gamification). But the influence of particular instructor practices and of…
Descriptors: Learner Engagement, Electronic Learning, Teaching Methods, Educational Practices
Liu, Chenchen; Hwang, Gwo-Jen – Interactive Learning Environments, 2023
The use of touchscreen mobile devices in early childhood education has gained considerable attention. Several studies have been conducted to investigate the impacts of touchscreen mobile devices on children's cognitive and affective development. Researchers have further indicated the need to probe in which contexts children can learn effectively…
Descriptors: Handheld Devices, Computer Oriented Programs, Technology Uses in Education, Early Childhood Education
Collins, J.; Barnoux, M.; Langdon, P. E. – Journal of Intellectual & Developmental Disability, 2023
Background: The theoretical understanding of firesetting behaviour has predominantly been developed with men in prisons or psychiatric hospitals without neurodevelopmental disabilities. Consequently, there is a lack of evidence regarding the validity of current theory when applied to adults with intellectual disabilities and/or autism. Method:…
Descriptors: Behavior Disorders, Adults, Intellectual Disability, Developmental Disabilities
Dierendonck, Christophe; Milmeister, Paul; Kerger, Sylvie; Poncelet, Débora – International Journal of Behavioral Development, 2020
Few studies have used exploratory factor analysis (EFA) and exploratory bifactor factor analysis (EBFA) to define a baseline factor structure model checking the construct-relevant psychometric multidimensionality of student engagement. This study was conducted on a sample of 3,374 students in France, Wallonia-Brussels Federation, and Luxembourg by…
Descriptors: Learner Engagement, Behavior Problems, Foreign Countries, Secondary School Students
Frey, Lisa L.; Beesley, Denise; Hurst, Rebecca; Saldana, Star; Licuanan, Brian – Journal of College Counseling, 2016
Using the relational-cultural model (Jordan, Kaplan, Miller, Stiver, & Surrey, 1991), the authors hypothesized that instrumentality, expressivity, and the individual affective experience of same-sex friendships would predict increased relationship mutuality, with college women and men showing different predictive patterns. Overall, results…
Descriptors: Models, Friendship, Gender Differences, College Students
Michael J. Tumminia; Blake A. Colaianne; Brian M. Galla; Robert W. Roeser – Grantee Submission, 2020
Research shows greater mindfulness is associated with less negative affect and more positive affect. Fewer studies have examined the mediating psychological processes linking mindfulness to these outcomes in adolescents. This three-wave, prospective longitudinal study examines rumination--the tendency to engage in repetitive and negative…
Descriptors: Metacognition, Questionnaires, Psychological Patterns, Negative Attitudes
Thompson, Stephanie F.; Zalewski, Maureen; Kiff, Cara J.; Moran, Lyndsey; Cortes, Rebecca; Lengua, Liliana J. – Developmental Psychology, 2020
This study tested child characteristics (temperamental executive control and negative reactivity) and maternal characteristics (parenting behaviors and maternal depressive symptoms) as predictors of a mother's emotion-related socialization behaviors (ERSBs). Further, parenting behaviors and ERSBs were examined as predictors of children's emotion…
Descriptors: Preschool Children, Socialization, Predictor Variables, Parenting Styles