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Järvelä, Sanna; Gaševic, Dragan; Seppänen, Tapio; Pechenizkiy, Mykola; Kirschner, Paul A. – British Journal of Educational Technology, 2020
Collaborative learning (CL) can be a powerful method for sharing understanding between learners. To this end, strategic regulation of processes, such as cognition and affect (including metacognition, emotion and motivation) is key. Decades of research on self-regulated learning has advanced our understanding about the need for and complexity of…
Descriptors: Artificial Intelligence, Man Machine Systems, Affective Behavior, Cognitive Processes
Moon, Jewoong; Ke, Fengfeng; Sokolikj, Zlatko – British Journal of Educational Technology, 2020
Tracking students' learning states to provide tailored learner support is a critical element of an adaptive learning system. This study explores how an automatic assessment is capable of tracking learners' cognitive and emotional states during virtual reality (VR)-based representational-flexibility training. This VR-based training program aims to…
Descriptors: Adolescents, Autism, Pervasive Developmental Disorders, Learning Processes
Ahn, Byunghoon; Harley, Jason M. – British Journal of Educational Technology, 2020
Learning analytics (LA) incorporates analyzing cognitive, social and emotional processes in learning scenarios to make informed decisions regarding instructional design and delivery. Research has highlighted important roles that emotions play in learning. We have extended this field of research by exploring the role of emotions in a relatively…
Descriptors: Nonverbal Communication, Computer Software, LGBTQ People, Data Analysis
Persico, Donatella; Passarelli, Marcello; Pozzi, Francesca; Earp, Jeffrey; Dagnino, Francesca Maria; Manganello, Flavio – British Journal of Educational Technology, 2019
This paper explores the relationship between digital games and learning along the continuum from formal to informal learning. Games are an increasingly important component of our learning ecologies but their potential can prove difficult to fully harness due to the downsides of gaming in informal contexts and to the limitations games can present…
Descriptors: Computer Games, Risk, Learning Processes, Correlation
Rodríguez-Ardura, Inma; Meseguer-Artola, Antoni – British Journal of Educational Technology, 2017
This paper seeks to explain why some individuals sink further into states of flow than others, and what effects flow has in the context of a virtual education environment. Our findings--gathered from both questionnaire and behavioural data--reveal that flow states are elicited by the e-learners' senses of controlling the virtual education…
Descriptors: Attention, Psychological Patterns, Learning Processes, Questionnaires
Wu, Chih-Hung; Huang, Yueh-Min; Hwang, Jan-Pan – British Journal of Educational Technology, 2016
Affect can significantly influence education/learning. Thus, understanding a learner's affect throughout the learning process is crucial for understanding motivation. In conventional education/learning research, learner motivation can be known through postevent self-reported questionnaires. With the advance of affective computing technology,…
Descriptors: Computer Uses in Education, Educational Trends, Affective Behavior, Learning Motivation
Neroni, Joyce; Gijselaers, Hieronymus J. M.; Kirschner, Paul A.; Groot, Renate H. M. – British Journal of Educational Technology, 2015
Learning is crucial for everyone. The association between biological (eg, sleep, nutrition) and psychological factors (eg, test anxiety, goal orientation) and learning performance has been well established for children, adolescents and college students in traditional education. Evidence for these associations for adult distance students is lacking…
Descriptors: Distance Education, Adult Education, Correlation, Biology