Internet-based identification of anxiety in university students using text and facial emotion analysis

Guerrero, Graciela; Avila, Daniel; da Silva, Fernando José Mateus; Pereira, António; Fernández-Caballero, Antonio

doi:10.1016/j.invent.2023.100679

Internet Interventions

2023

DOI: 10.1016/j.invent.2023.100679

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Internet-based identification of anxiety in university students using text and facial emotion analysis

Graciela Guerrero,

Daniel Avila,

Fernando José Mateus da Silva

et al.

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Cited by 4 publications

References 34 publications

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Emotional Orientation in Peer Assessment: Impact on College Student Performance

Chen,

Hao,

Zheng

et al. 2024

Asia-Pacific Edu Res

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Emotional Orientation in Peer Assessment: Impact on College Student Performance

Chen,

Hao,

Zheng

et al. 2024

Asia-Pacific Edu Res

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A convolution and attention-based conditional adversarial domain adaptation neural network for emotion recognition using electroencephalography

Cen,

Zhao,

Cui

et al. 2025

Biomedical Signal Processing and Control

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Exploring Clusters of Novice Programmers’ Anxiety-Induced Behaviors During Block- and Text-Based Coding: A Predictive and Moderation Analysis of Programming Quality and Error Debugging Skills

Yusuf,

Yusuf Muhammad

2024

Journal of Educational Computing Research

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The study investigates the potential of anxiety clusters in predicting programming performance in two distinct coding environments. Participants comprised 83 second-year programming students who were randomly assigned to either a block-based or a text-based group. Anxiety-induced behaviors were assessed using physiological measures (Apple Watch and Electrocardiogram machine), behavioral observation, and self-report. Utilizing the Hidden Markov Model and Optimal Matching algorithm, we found three representative clusters in each group. In the block-based group, clusters were designated as follows: “stay calm” (students allocating more of their time to a calm state), “stay hesitant” (students allocating more of their time to a hesitant state), and “to-calm” (those allocating minimal time to a hesitant and anxious state but displaying a pronounced propensity to transition to a calm state). In contrast, clusters in the text-based group were labeled as: “to-hesitant” (exhibiting a higher propensity to transition to a hesitant state), “stay hesitant” (allocating significant time to a hesitant state), and “stay anxious” (remaining persistently anxious in a majority of the coding time). Additionally, our results indicate that novice programmers are more likely to experience anxiety during text-based coding. We discussed the findings and highlighted the policy implications of the study.

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Internet-based identification of anxiety in university students using text and facial emotion analysis

Cited by 4 publications

References 34 publications

Emotional Orientation in Peer Assessment: Impact on College Student Performance

Emotional Orientation in Peer Assessment: Impact on College Student Performance

A convolution and attention-based conditional adversarial domain adaptation neural network for emotion recognition using electroencephalography

Exploring Clusters of Novice Programmers’ Anxiety-Induced Behaviors During Block- and Text-Based Coding: A Predictive and Moderation Analysis of Programming Quality and Error Debugging Skills

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