The balancing act between AI and authenticity in assessment: A case study of secondary school students’ use of GenAI in reflective writing

Cecilia Ka Yuk Chan, Katherine K. W. Lee

Computers & Education · 2025 · 19 citations · 59 references

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Abstract

This study examines how secondary school students balance the use of Generative AI (GenAI) tools while maintaining authenticity in reflective writing. Reflective writing, a cognitively demanding task, can benefit from AI's ability to improve efficiency and organisation. Using a case study approach, data were collected from the reflective writing pieces of five secondary school students, as well as the accompanying GenAI chat logs and individual interviews following a three-week summer internship programme. Thematic analysis found that while GenAI supports technical quality and reduces cognitive load, it also poses challenges regarding authenticity, depth of reflection, and students' over-reliance on AI. Students reported experiencing AI guilt, particularly regarding perceived laziness, fear of judgment, and concerns over self-efficacy. The findings highlight a tension between producing polished writing and preserving personal voice. Educators must guide students to use AI ethically, ensuring that it supports rather than undermines authentic reflection.

References

59