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A Review on the Impact of Cognitive Factors in Introductory Programming

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Proceedings of Fourth International Conference on Communication, Computing and Electronics Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 977))

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Abstract

Understanding the cognitive factors that contribute to introductory programming students’ abilities to learn to program is critical to helping computer educators create better opportunities for students to improve their programming performance. The goal of this research is to explore cognitive factors that have an influence on programming performance in introductory programming courses in particular. The study documents 17 factors from 25 empirical studies that analyzed the influence of these factors on programming performance. Our analysis shows a wide range of cognitive factors studied and interrelated groups of factors studied in literature focused on introductory programming courses. This is a valuable review of information regarding influencing cognitive factors to restructure aspects of future introductory programming course curricula to benefit students’ ability to learn to program.

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Authors and Affiliations

  1. Department of Computer Science, Guru Nanak Dev University, Amritsar, 143005, India

    Amanpreet Kaur & Kuljit Kaur Chahal

Authors
  1. Amanpreet Kaur
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  2. Kuljit Kaur Chahal
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Correspondence to Amanpreet Kaur .

Editor information

Editors and Affiliations

  1. Department of ECE, PPG Institute of Technology, Coimbatore, Tamil Nadu, India

    V. Bindhu

  2. Faculdade de Engenharia, Departamento de, Universidade do Porto, Porto, Portugal

    JoĂŁo Manuel R. S. Tavares

  3. San Jose State University, FREMONT, CA, USA

    Chandrasekar Vuppalapati

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Kaur, A., Chahal, K.K. (2023). A Review on the Impact of Cognitive Factors in Introductory Programming. In: Bindhu, V., Tavares, J.M.R.S., Vuppalapati, C. (eds) Proceedings of Fourth International Conference on Communication, Computing and Electronics Systems . Lecture Notes in Electrical Engineering, vol 977. Springer, Singapore. https://doi.org/10.1007/978-981-19-7753-4_77

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  • DOI: https://doi.org/10.1007/978-981-19-7753-4_77

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-7752-7

  • Online ISBN: 978-981-19-7753-4

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