高中生物学混合式组卷路径探索

Exploration of Hybrid Test Paper Composition Pathways for High School Biology

摘要: 随着教育信息化的深入发展，组卷方式呈现多元化趋势。本文通过对人工组卷、高中生物题库组卷和AIGC智能组卷三种模式的深入分析，比较了各自的优势与不足，并探讨了混合组卷模式的优势与发展，并以生成式人工智能软件Claude组卷为例进行实践。认为，传统人工组卷在个性化和教学针对性方面不可替代，题库组卷在标准化和资源共享方面具有优势，AI组卷在效率和客观性方面表现突出。基于IAGC高中生物学混合组卷模式能够有效整合三种方式的优势，提高组卷效率及质量，为一线教师进行教育评价提供更高效的解决方案。

Abstract: With the deepening development of educational informatization, test paper composition approaches exhibit diversified trends. This paper conducts an in-depth analysis of three modalities: manual test paper composition, high school biology question bank-based composition, and AIGC intelligent test paper composition. The study compares their respective advantages and limitations, explores the merits and development of hybrid composition models, and provides practical implementation using the generative artificial intelligence software Claude as an exemplar for test paper composition. The findings indicate that traditional manual composition remains irreplaceable in terms of personalization and pedagogical targeting, question bank-based composition demonstrates advantages in standardization and resource sharing, while AI-based composition exhibits outstanding performance in efficiency and objectivity. The AIGC-based hybrid test paper composition model for high school biology can effectively integrate the advantages of all three approaches, enhancing both the efficiency and quality of test paper composition, thereby providing frontline educators with more efficient solutions for educational assessment.