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Elbawab, Mohamed; Henriques, Roberto – Education and Information Technologies, 2023
Electronic learning (e-learning) is considered the new norm of learning. One of the significant drawbacks of e-learning in comparison to the traditional classroom is that teachers cannot monitor the students' attentiveness. Previous literature used physical facial features or emotional states in detecting attentiveness. Other studies proposed…
Descriptors: Students, Electronic Learning, Attention Span, Artificial Intelligence
Jingjing Chen; Bing Xu; Dan Zhang – Educational Technology Research and Development, 2024
Learning-related attention is one of the most important factors influencing learning. Although technologies have enabled the automatic detection of students' attention levels, previous studies mainly focused on colleges or high schools, lacking further validations in primary school students. More importantly, the detected attention might fail to…
Descriptors: Elementary School Students, Attention, Attention Span, Learning Strategies

Smyth, W. John – Australian Journal of Education, 1980
Recent research has substantiated long-standing beliefs of classroom teachers about the relationship between pupil engagement and achievement; one of these is that increased pupil involvement or attention to the learning task increases learning. Additionally, consistent teaching behaviors and classroom variables are frequently associated with…
Descriptors: Academic Achievement, Attention, Attention Control, Attention Span