远程教育杂志2025，Vol.43Issue(6)：41-51,11.DOI:10.15881/j.cnki.cn33-1304/g4.2025.06.006
基于跨学科主题教学设计的循证教研模式研究
An Evidence-Based Teaching Research Model for Interdisciplinary Thematic Teaching Design:From the Perspective of Human-Machine Complementarity
摘要
Abstract
Evaluating the quality of interdisciplinary thematic teaching design is essential for improving the effectiveness of classroom instruction.However,existing research continues to reveal limitations regarding the alignment of evaluation criteria,the ob-jectivity of evaluation procedures,the coherence of evaluation outcomes,the timeliness of evaluation methods,and the interpretability of evaluation results.To address these issues,this study adopts retrieval-augmented generation to construct a set of single intelligent agents for evaluating conceptual groups,problem chains,objective layers,task clusters,and evidence sets,respectively.Building on these agents,a multi-agent evaluation system,referred to as a"machine expert",is developed through a dual-scheduling architecture that integrates a meta-agent with a workflow mechanism.An experimental comparison demonstrates differentiated strengths between machine experts and human experts in assessing interdisciplinary thematic teaching designs.Machine experts perform particularly well in identifying general errors,offering positive reinforcement,and providing efficient feedback,whereas human experts display stronger abilities in contextual interpretation,value-oriented judgment,and aesthetic appreciation.Based on this human-machine complemen-tarity,the study proposes an evidence-based teaching research model suitable for interdisciplinary thematic teaching design.Within this model,machine experts lead the initial stage by applying"Planning-Conflict-Ideation-Reflection-Action"cycle to iteratively refine teaching design,while human experts guide the later stage through a"Presentation-Sharing-Action-Demonstration-Transformation"process to achieve targeted enhancement.This study offers an evidence-based practical framework for improving the quality and effi-ciency of interdisciplinary teaching research.关键词
跨学科主题教学设计/多智能体评价系统/循证教研模式/生成式人工智能/人机互补Key words
Interdisciplinary thematic teaching design/Human-machine complementarity/Multi-agent evaluation system/Evidence-based teaching research model/Generative artificial intelligence分类
社会科学引用本文复制引用
季瑜,李文锋,李婷婷,詹泽慧..基于跨学科主题教学设计的循证教研模式研究[J].远程教育杂志,2025,43(6):41-51,11.基金项目
本文系国家自然科学基金面上项目"基于事理图谱的计算思维智能导训模型及可解释性研究"(项目编号:62277018)、华南师范大学研究生科研创新计划项目"AIGC支持创造性问题解决的模式构建与实证研究"(项目编号:2024KYLX009)的研究成果. （项目编号:62277018）
