The quality of decisions in various aspects of instructional design,such as teaching objectives,methods,content,environment and resources,strategies,and evaluation,directly affects the effectiveness of teaching activities.Currently,both"human-created"and"AI-created"instructional design products have problems in their procedural design processes and structures with insufficient and inappropriate use of digital technology,neglecting emotional investment and teacher-student interaction,that deviate from the original instructional design intention and students'individual learning needs.Thus,this study utilizes the four-element instructional design model to develop a theoretical concept of learner-centeredness to support the cultivation of critical thinking and a technology-oriented approach of generative artificial intelligence to promote continuous generation of analysis.Subsequently,a practical framework of intelligent analysis of instructional design is constructed,which includes four aspects:Analysis task decomposition and planning,content storage and memory,realization and expansion of analytical ability,and accuracy and credibility of optimal decision-making.The study proposes a practical framework exemplified by two examples:The general large language model and special agent instructional design analysis.Finally,based on the development strategy analysis,we rationally understand the application challenges of generative AI enabling instructional design analysis,and look forward to the development opportunities of"teacher-machine"collaborative instructional design intelligent analysis that combines subjective and objective.
generative artificial intelligenceinstructional designinstructional design analysisfeasible methodsrisk and challenge
万方数据
维普
