EdTech Literature Review Critique & Epistemic Justice Evaluation
Critiques an educational technology literature review on generative AI for methodology issues and coverage gaps, identifies four specific flaws, suggests three remediations, and evaluates the work using an epistemic justice framework.
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Critique this educational technology literature review for generative AI coverage gaps and methodological rigor issues. Identify four flaws: overreliance on vendor-funded studies without conflict-of-interest disclosure, omission of critical perspectives on labor displacement in education, superficial treatment of bias issues limited to demographic representation without examining epistemic justice concerns, and chronological organization obscuring conceptual relationships between studies. Suggest three remediations: conflict-of-interest screening protocol for included studies, inclusion criteria mandating diverse epistemological perspectives, and concept-mapping synthesis approach replacing chronological narrative. Evaluate using an epistemic justice framework scoring representation diversity (1-5), power analysis depth (1-5), and solution pluralism (1-5). Respond in bullet points. Constraints: Keep it under 350 words; Use clear section headings; Include exactly three key takeaways.
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How to use
Use this prompt when you need a rigorous, structured critique of academic literature or research papers regarding generative AI in education, complete with actionable improvements and metric-based evaluation.
Parameter notes
None required; ensure the target literature review text is provided alongside the prompt if not embedded.
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Academic Research & Peer Review