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June 18, 2026IEICE Transactions on Information and SystemsOpen Access

A Moodle Plugin for Handwritten Answer Input, Management, and Recognition Supporting Japanese, English, Mathematical, and Chemical Formulas

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Authors

TTThanh-Nghia TruongHNHung Tuan NguyenFYFumiko Yasuno

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Overview

Randomized trial evaluates a Moodle plugin enhancing handwriting recognition in learners, suggesting improved engagement and assessment accuracy.

Key Points

  • The aim is to develop a Moodle plugin for efficient handwriting input and recognition, supporting multiple languages and structured responses.
  • Developed a web-based handwriting input interface integrated with Moodle.
  • Conducted usability testing to assess engagement and accuracy.
  • Supported handwriting in Japanese, English, and mathematical and chemical formats.
  • Usability testing indicated enhanced learner engagement and assessment accuracy.
  • The plugin effectively supports raw handwriting data while providing recognition texts for scoring.
  • Shows improved interaction in digital assessments over conventional methods.

Cite This Study

Truong et al. (2026) studied this question.

synapsesocial.com/papers/6a338a4e630953a74978c7bfhttps://doi.org/10.1587/transinf.2025edp7256
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