Generative AI-Assisted POA-Based Instructional Design for Beginner-Level Spoken Chinese

Abstract

In the context of the digital transformation of international Chinese language education, generative artificial intelligence (GenAI) offers potential support for a production-oriented approach (POA)-based instructional design for beginner-level spoken Chinese. In response to challenges such as insufficient alignment between motivating tasks and learners’ proficiency levels, insufficiently targeted enabling scaffolds, and difficulties in organizing assessment and feedback, this study develops a GenAI-assisted POA instructional design model for beginner-level spoken Chinese. Using Lesson 5, “Wuhan Is a Good Place,” from New Era Spoken Chinese: Elementary (Volume I) as a case, the study explores application pathways for GenAI in motivating task differentiation, enabling scaffold provision, and providing assessment feedback improvement. The analysis suggests that, under teacher guidance, GenAI can provide task suggestions, learning scaffolds, and feedback prompts for POA-based instructional design. GenAI-generated content should therefore be selected, revised, and adapted by teachers before being used in classroom instruction.