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An Exploratory Study for Evaluating Mathematical Anxiety in Calculus E-Assessment Platform by Using Physiological Signal Analysis

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Frontier Computing (FC 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 422))

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Abstract

Few studies focused on integrating physiological signal analysis, and types of questions in e-learning assessment for understanding detail learning behavior, learning diagnosis, and level of anxiety. Anxiety is a feeling of uncertain, helpless, and fear about upcoming future. A learner’s level of anxiety influences his/her learning performance, working memory process, and concentration. Past studies proved that mathematical anxiety interactively influences learners’ self-efficacy and learning performance; besides, learners would raise their computer anxiety while learning via e-learning and testing system. Therefore, this research focuses on evaluating and comparing learners’ mathematical anxiety level. Furthermore, we will also measure learners’ Electroencephalography (EEG, brainwave signal) and Electrocardiography (ECG, heart beat rate) signal to understand their psychological status. This study will recruit University students to join our experiment. The result will help researchers realize the interactive effects among mathematical anxiety level, types of test questions (constructive and multiple choice question), and learning performance in improving the effects of Calculus e-learning tool.

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Acknowledgements

Authors thank the Ministry of Science and Technology for support (grants MOST 104-2511-S-142-010).

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Authors and Affiliations

  1. National Taichung University of Education, Taichung, Taiwan, ROC

    Chih-Hung Wu & Shu-Chuan Shih

  2. National Chiao Tung University, Hsinchu, Taiwan, ROC

    Wei-Ting Lin

Authors
  1. Chih-Hung Wu
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  2. Wei-Ting Lin
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  3. Shu-Chuan Shih
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Corresponding author

Correspondence to Chih-Hung Wu .

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Editors and Affiliations

  1. School of Computer Science and Engineering, University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Neil Y. Yen

  2. Department of Information Technology, Overseas Chinese University, Taichung, Taiwan

    Jason C Hung

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© 2018 Springer Nature Singapore Pte Ltd.

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Wu, CH., Lin, WT., Shih, SC. (2018). An Exploratory Study for Evaluating Mathematical Anxiety in Calculus E-Assessment Platform by Using Physiological Signal Analysis. In: Yen, N., Hung, J. (eds) Frontier Computing. FC 2016. Lecture Notes in Electrical Engineering, vol 422. Springer, Singapore. https://doi.org/10.1007/978-981-10-3187-8_41

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  • DOI: https://doi.org/10.1007/978-981-10-3187-8_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3186-1

  • Online ISBN: 978-981-10-3187-8

  • eBook Packages: EngineeringEngineering (R0)

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