Developing an Artificial Intelligence (AI)-Assisted Instrument for Assessing the Short Story Writing Skills of Grade XI Students at Senior High School

Authors

  • Andy Dahnial Pratama Mz Master’s Program in Indonesian Language Education, Universitas Tadulako, Palu, Indonesia
  • Ida Nuraeni Master’s Program in Indonesian Language Education, Universitas Tadulako, Palu, Indonesia https://orcid.org/0000-0001-6518-0506
  • Sukma Master’s Program in Indonesian Language Education, Universitas Tadulako, Palu, Indonesia

DOI:

https://doi.org/10.24256/ideas.v14i2.12887

Keywords:

4D model; analytic rubric; artificial intelligence; assessment instrument; short story writing

Abstract

Assessing short story writing is prone to subjectivity when it is not supported by a valid and reliable instrument, while the use of artificial intelligence (AI) in drafting assessment instruments has rarely been documented. This study aims to describe the development process and the quality of an AI-assisted instrument for assessing the short story writing skills of grade XI students at SMA Al-Azhar Mandiri Palu. It followed the 4D development model (define, design, develop, disseminate), with AI (Claude Opus 5.5) serving as a drafting aid rather than as a rater of students’ work. Data were collected through interviews, observation, document analysis, validation by five experts, the scoring of 30 short stories by two teachers, and a practicality questionnaire, and were analyzed using feasibility percentages, the intraclass correlation coefficient (ICC), Cronbach’s alpha, percentage agreement, and practicality percentages. The AI generated 32 rubric descriptors from a single prompt. After the researcher’s review, 12 descriptors were accepted unchanged, 17 were revised to make them observable and consistent with the quantitative requirement, and 3 were rejected because they relied on impressionistic criteria. The 12 descriptors accepted unchanged were later revised on the language validator’s advice, so none of the AI-generated descriptors was used unchanged in the final product. The instrument obtained a feasibility percentage of 92.63% (very valid), a single-measures ICC of 0.758 (good; 95% CI 0.541–0.878), and a practicality percentage of 98.33% (very practical). Cronbach’s alpha was low (−0.224 and 0.251) because scores clustered at the top of the scale, while exact inter-rater agreement reached 94.17%. The instrument is feasible for use, and AI is effective as a drafting aid provided that its output is reviewed by the researcher and validated by experts.

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Published

2026-10-17

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