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Noah Britt; Jackie Chau; Hong-jin Sun – Cognitive Research: Principles and Implications, 2025
Human attention can be guided by semantic information conveyed by individual objects in the environment. Over time, we learn to allocate attention resources towards stimuli that are behaviourally relevant to ongoing action, leading to attention capture by meaningful peripheral stimuli. A common example includes, while driving, stimuli that imply a…
Descriptors: Context Effect, Spatial Ability, Universities, College Students
Zeng, Shuang; Zhang, Jingjing; Gao, Ming; Xu, Kate M.; Zhang, Jiang – Computer Assisted Language Learning, 2022
Learning analytics (LA) has the potential to generate new insights into the complexities of learning behaviours in language massive open online courses (LMOOCs). In LA, the collective attention model takes an ecological system view of the dynamic process of unequal participation patterns in online and flexible learning environments. In this study,…
Descriptors: Learning Analytics, MOOCs, Oral Language, English (Second Language)
Hsu, Chung-Yuan; Chiou, Guo-Li; Tsai, Meng-Jung – Interactive Learning Environments, 2019
This study was to investigate the role of students' game self-efficacy in their game performance as well as in their visual behavior distributions and transfer patterns during their gameplay. A total of 48 university students were recruited for participating in a gameplaying task while wearing with an ASL Mobile Eye eye-tracker. After the…
Descriptors: Game Based Learning, Self Efficacy, Eye Movements, Attention
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