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Students’ affective content analysis in smart classroom environment using deep learning techniques

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References

1988Development and validation of brief measures of positive and negative affect: The PANAS scales.32,408 cited
1988Development and validation of brief measures of positive and negative affect: The PANAS scales.31,356 cited
2004School Engagement: Potential of the Concept, State of the Evidence12,540 cited
1993Motivation in the classroom: Reciprocal effects of teacher behavior and student engagement across the school year.3,427 cited
2014The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions683 cited
1968Classroom climate and individual learning.377 cited
2005Measurement and analysis of student engagement in university classes where varying levels of PBL methods of instruction are in use337 cited
2016Automated Detection of Engagement Using Video-Based Estimation of Facial Expressions and Heart Rate331 cited
2006Tutorial on Agent-Based Modeling and Simulation PART 2: How to Model with Agents306 cited
2007Voices of Students on Engagement: A Report on the 2006 High School Survey of Student Engagement.224 cited
1997The Impact of Teaching Strategies on Intrinsic Motivation.211 cited
2009Students pay attention!158 cited
2017Predicting student engagement in classrooms using facial behavioral cues113 cited
2008Faculty and Student Classroom Influences on Academic Dishonesty

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75 cited

2004Fundamentals of Organizational Behavior67 cited

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2023A multimodal facial cues based engagement detection system in e-learning context using deep learning approach73 cited
2020Affective database for e-learning and classroom environments using Indian students’ faces, hand gestures and body postures72 cited