Co-creating with Generative AI (GenAI) for curriculum design: learning personas

Generative AI (GenAI) presents new opportunities for learner-centred teaching. This study explores its potential in co-creating learning personas—fictional yet research-informed representations of students – for energy digitalisation education, a field that attracts learners from diverse backgrounds. We document the process of generating nine learner personas with GenAI and evaluating their quality through expert review and benchmarking against publicly available LinkedIn profiles of professionals in similar roles. Our findings indicate that GenAI effectively differentiates professional roles, captures key job-related challenges, and reflects learner motivations, making it a valuable tool for curriculum design. However, critical limitations persist, with GenAI creating overly idealised professionals, lacking diversity in the supporting AI-generated images, and overlooking some nuanced real-world complexities. These challenges highlight the need for human oversight to ensure authenticity, inclusivity, and ethical depth. Based on our findings, we provide recommendations for co-creating personas with GenAI for curriculum design.

Publication Details

Journal
Open Research Online (The Open University)
Published
2025-06-15
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
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article

Co-creating with Generative AI (GenAI) for curriculum design: learning personas

Open Research Online (The Open University)
Magnetic confinement fusion research
article

Co-creating with Generative AI (GenAI) for curriculum design: learning personas

article en

Abstract

Generative AI (GenAI) presents new opportunities for learner-centred teaching. This study explores its potential in co-creating learning personas—fictional yet research-informed representations of students – for energy digitalisation education, a field that attracts learners from diverse backgrounds. We document the process of generating nine learner personas with GenAI and evaluating their quality through expert review and benchmarking against publicly available LinkedIn profiles of professionals in similar roles. Our findings indicate that GenAI effectively differentiates professional roles, captures key job-related challenges, and reflects learner motivations, making it a valuable tool for curriculum design. However, critical limitations persist, with GenAI creating overly idealised professionals, lacking diversity in the supporting AI-generated images, and overlooking some nuanced real-world complexities. These challenges highlight the need for human oversight to ensure authenticity, inclusivity, and ethical depth. Based on our findings, we provide recommendations for co-creating personas with GenAI for curriculum design.

Open Research Online (The Open University)
Openalex Percentile: Top 34%
Magnetic confinement fusion research
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Co-creating with Generative AI (GenAI) for curriculum design: learning personas · Open Research Online (The Open University) (2025) | TGRS Research Map | TGRS