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How do students’ AI interactions, dispositions, and prompt engineering skills shape human–AI collaboration in middle school STEM education?
- Source
- Educational Technology Research and Development
- Published
- Last verified
- 11 Aug 2026
- Confidence
- Moderate
- Evidence
- Original document retained
- Reading time
- 1 min
- Country
- International
- Relevant to
- Research & Evidence, Technology & Data, Partners & Funders, People & Capability
Executive summary
What happened, and why should leadership care?
Research from Educational Technology Research and Development (International) investigates how middle school students' AI interactions, dispositions, and prompt engineering skills influence human-AI collaboration in STEM education. The study, involving 69 eighth-grade students using ChatGPT in a five-day STEM-AI curriculum, employed a mixed-methods approach. It analyzed student-generated prompts, pre-post surveys, and competency tests to understand changes in AI interactions, dispositions, prompt engineering, and collaboration competencies, and to identify predictors of post-intervention collaboration.
Why this matters
Why is this strategically important?
Understanding how students interact with AI, develop prompt engineering skills, and foster positive AI dispositions is critical for integrating AI effectively into educational frameworks. This knowledge can inform the development of curricula that not only leverage AI for learning but also prepare future workforces for human-AI collaboration in various professional settings. Effective AI integration in education can drive innovation and enhance future workforce capabilities.
Key insights
What should be noted from the evidence?
- The study examined changes in students’ AI interactions, AI dispositions, prompt engineering skills, and human–AI collaboration competencies.
- It aimed to identify predictors of post-intervention human–AI collaboration competencies.
- The research utilized a mixed-methods design, including content analysis, repeated-measures MANOVA, and multiple regression analyses.
- Sixty-nine eighth-grade students participated, engaging with ChatGPT in a five-day STEM–AI curriculum.
- Data sources included student-generated prompts, pre–post surveys, and competency tests.
Evidence and confidence
How far can this assessment be trusted?
Moderate confidence. Provenance established; supporting evidence remains partial.
Analysis is prepared editorially by Aziz Shuaib Ausi. The original publication remains the authoritative record, and executive judgement remains entirely human.
Source
Where does this originate?
Reported by Educational Technology Research and Development · International. This briefing summarises the publication for executive use; the document itself is not reproduced here.
Read the original publication