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The fidelity of large language models in social science: a human-ai parallel experimental test of middle-range theory
A peer-reviewed study published in AI Education tests whether large language models (LLMs) can replicate human experimental results in social science, specifically evaluating 'middle-range theory' through a human–AI parallel experiment.
- 判断
- If LLMs can faithfully simulate human social behaviors, they could become powerful research tools for testing theories and designing interventions. This has direct implications for early childhood development research, where experiments with children are ethically and practically challenging.
- 实践
- Monitor developments in AI-based social science simulation to assess potential applications for ethically sensitive developmental research with young children, while remaining critical of limitations.