Work

Research on the Construction and Practice of Generative AI-Assisted “Data Structures” Teaching Model Based on Coze Platform

Year: 2026

Type: conference-paper

Abstract: Aiming at the problems of abstract concepts, delayed practice feedback, and significant student differences in the “Data Structures” course, this paper constructs a “four-stage closedloop” AI-assisted teaching model based on the Coze platform. The model revolves around knowledge diagnosis, path recommendation, inquiry-based experiments, and evaluation feedback, integrating course knowledge bases, teaching agents, and processbased assessment into pre-class, in-class, and post-class activities. Teaching practice shows that this model can improve students' theoretical performance, experimental outcomes, and selfregulated learning abilities, while reducing teachers' repetitive workloads in Q&A and evaluation. The research provides an actionable pathway for applying generative AI in foundational computer science courses.

Source: International Conference on Distance Education and Learning (ICDEL)

DOI: 10.1109/icdel70250.2026.11663616

Authors: Huaming Liu, Xuehui Bi, Xiuyou Wang, Huaimin Li, Shuying Liu

Institution: Fuyang Normal University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W7204804420

FWCI:

Cites: 3

Cited by:

Related to: 10