Bots and Beginners: A Comparative Study of AI- and PST-Generated Social Studies Lesson Plans

This study explored the comparative quality of social studies lesson plans generated by artificial intelligence (AI) and preservice teachers (PSTs), assessed by experienced social studies teacher educators. Using a concurrent mixed-methods approach, evaluators blind-reviewed six lesson plans—three AI-generated and three PST-generated—using a research-based rubric addressing coherence, clarity, learning objectives, activities, assessment alignment, and integration of inquiry and critical thinking. Quantitative findings indicated AI-generated lessons consistently outperformed PST-generated lessons in clarity, structured alignment, and inquiry integration. Qualitative analyses revealed a central paradox: AI was better at the technical elements of lesson planning, excelling in procedural efficiency and clarity, making them practically beneficial for immediate classroom use; however, human teachers brought more depth and creativity when those elements were present, demonstrating greater historical nuance and critical engagement. These findings suggest AI’s promising potential as a foundational resource to alleviate teacher workloads and reduce burnout, while underscoring the irreplaceable role of human creativity and pedagogical judgment.

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Publication Details

Journal
The Journal of Social Studies Research
Published
2025-11-14
DOI
https://doi.org/10.1177/0885985x251385910
Primary Topic
Educator Training and Historical Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
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article

Bots and Beginners: A Comparative Study of AI- and PST-Generated Social Studies Lesson Plans

Sarah J. Kaka, Taylor M. Kessner
The Journal of Social Studies Research
Educator Training and Historical Pedagogy
article

Bots and Beginners: A Comparative Study of AI- and PST-Generated Social Studies Lesson Plans

Sarah J. Kaka, Taylor M. Kessner
article en

Abstract

This study explored the comparative quality of social studies lesson plans generated by artificial intelligence (AI) and preservice teachers (PSTs), assessed by experienced social studies teacher educators. Using a concurrent mixed-methods approach, evaluators blind-reviewed six lesson plans—three AI-generated and three PST-generated—using a research-based rubric addressing coherence, clarity, learning objectives, activities, assessment alignment, and integration of inquiry and critical thinking. Quantitative findings indicated AI-generated lessons consistently outperformed PST-generated lessons in clarity, structured alignment, and inquiry integration. Qualitative analyses revealed a central paradox: AI was better at the technical elements of lesson planning, excelling in procedural efficiency and clarity, making them practically beneficial for immediate classroom use; however, human teachers brought more depth and creativity when those elements were present, demonstrating greater historical nuance and critical engagement. These findings suggest AI’s promising potential as a foundational resource to alleviate teacher workloads and reduce burnout, while underscoring the irreplaceable role of human creativity and pedagogical judgment.

The Journal of Social Studies ResearchVol. 50(2)
SUNY Geneseo (US), Ohio Wesleyan University (US)
Openalex Percentile: Top 56%
Educator Training and Historical Pedagogy
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