Automatic detection of students' affective states in classroom environment using hybrid convolutional neural networks

A TS, RMR Guddeti - Education and information technologies, 2020 - Springer
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 …

[HTML][HTML] Female computer science students: A qualitative exploration of women's experiences studying computer science at university in the UK

J Yates, AC Plagnol - Education and Information Technologies, 2022 - Springer
The under-representation of w omen in computer science education courses is well
documented, and the social and commercial need to address this is widely recognised …

Enhancing confidence in using computational thinking skills via playing a serious game: A case study to increase motivation in learning computer programming

C Kazimoglu - IEEE Access, 2020 - ieeexplore.ieee.org
Computer Science (CS) is a profession that positively impacts every single area of society
without which today's world would come to a complete halt. Yet, there is a consensus that …

Understanding initial undergraduate expectations and identity in computing studies

P Kinnunen, M Butler, M Morgan, A Nylen… - European Journal of …, 2018 - Taylor & Francis
There is growing appreciation of the importance of understanding the student perspective in
Higher Education (HE) at both institutional and international levels. This is particularly …

ET-YOLOv5s: toward deep identification of students' in-class behaviors

L Li, M Liu, L Sun, Y Li, N Li - IEEE Access, 2022 - ieeexplore.ieee.org
Recognizing students' behaviors in classes based on videos of their activity plays an
important role in improving teaching quality and paying attention to the healthy growth of …

[HTML][HTML] Online module login data as a proxy measure of student engagement: the case of myUnisa, MoyaMA, Flipgrid, and Gephi at an ODeL institution in South …

C Chaka, T Nkhobo - International Journal of Educational Technology in …, 2019 - Springer
The current study employed online module login data harvested from three tools, my Unisa,
Moya MA and Flipgrid to determine how such data served as a proxy measure of student …

A practical model of student engagement while programming

J Edwards, K Hart, C Warren - Proceedings of the 53rd ACM Technical …, 2022 - dl.acm.org
We consider the question of how to predict whether a student is on or off task while working
on a computer programming assignment using elapsed time since the last keystroke as the …

Studying engagement and performance with learning technology in an African classroom

J Mutahi, A Kinai, N Bore, A Diriye… - Proceedings of the …, 2017 - dl.acm.org
In this paper, we study the engagement and performance of students in a classroom using a
system the Cognitive Learning Companion (CLC). CLC is designed to keep track of the …

Exploring societal factors affecting the experience and engagement of first year female computer science undergraduates

J Sinclair, S Kalvala - Proceedings of the 15th Koli Calling Conference …, 2015 - dl.acm.org
Despite many women playing an important role in the history of Computer Science (CS),
such as Ada Lovelace and Grace Hopper, the proportion of female students completing …

Motivation and engagement factors of undergraduate students in computing: A systematic mapping study

P Schoeffel, RS Wazlawick… - 2018 IEEE Frontiers in …, 2018 - ieeexplore.ieee.org
This paper presents a systematic mapping study on factors that affect motivation in
computing undergraduate students. Although there are several initiatives to improve …