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<p>Smart worksheets are an emerging educational technology that supports self-directed learning and provides targeted feedback on student assessment, while also reducing staff marking workload. However, their adoption may be limited by high cost, limited flexibility, and proprietary ownership. This study presents the design, implementation, and evaluation of an open-source smart worksheet developed using Python. This worksheet provides a flexible, interactive platform for performing calculations, analysing data, and receiving real-time feedback. It supports automated grading, dynamic content updates and graphical data analysis. Student feedback indicates high satisfaction with the worksheet’s ability to enhance conceptual understanding and streamline the analysis process, demonstrating that students perceive similar learning benefits to commercial alternatives. Importantly, its open-source nature ensures adaptability across academic disciplines, enabling its use in diverse educational contexts to support assessment, feedback, and self-directed learning.</p>

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Student perceptions of an open-source smart worksheet for automated student assessment and feedback built using python

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月2日

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  • Samuel C. Perry

摘要

Smart worksheets are an emerging educational technology that supports self-directed learning and provides targeted feedback on student assessment, while also reducing staff marking workload. However, their adoption may be limited by high cost, limited flexibility, and proprietary ownership. This study presents the design, implementation, and evaluation of an open-source smart worksheet developed using Python. This worksheet provides a flexible, interactive platform for performing calculations, analysing data, and receiving real-time feedback. It supports automated grading, dynamic content updates and graphical data analysis. Student feedback indicates high satisfaction with the worksheet’s ability to enhance conceptual understanding and streamline the analysis process, demonstrating that students perceive similar learning benefits to commercial alternatives. Importantly, its open-source nature ensures adaptability across academic disciplines, enabling its use in diverse educational contexts to support assessment, feedback, and self-directed learning.