Design and Practice of Scenario-Based Teaching Cases for an AI General Education Course in Vocational Colleges

DOI

10.2991/978-2-38476-628-4_28How to use a DOI?

Keywords

AI general education; scenario-based teaching; vocational education; generative AI; teaching case design; pre-test–post-test evaluation

Abstract

Generative artificial intelligence (GenAI) is rapidly transforming vocational education, yet most existing AI general education courses follow computer-science curricula that are inaccessible to non-technical students. This paper proposes a low-threshold, lightweight, and scenario-oriented teaching framework for AI general education in vocational colleges. The framework comprises a two-layer course module design (foundational awareness + scenario application), a taxonomy of four scenario categories (learning, campus, life, occupational), and a five-step case development process. We implemented the framework over two consecutive cohorts (2024 and 2025) at a public vocational college, covering 2,964 non-computer-major students from three schools. A pre-test–post-test evaluation with 322 paired samples was associated with improvements across all six measures (all p < .001; Cohen’s d = 0.39–0.71), with a 91% task completion rate. No significant disciplinary differences were found for AI knowledge, learning interest, or ethical awareness, supporting the framework’s generalizability. The study contributes a reusable design framework, four representative teaching cases, and empirical evidence for large-scale AI general education in vocational contexts.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Bo Yu
PY  - 2026
DA  - 2026/10/30
TI  - Design and Practice of Scenario-Based Teaching Cases for an AI General Education Course in Vocational Colleges
BT  - Proceedings of the 2026 2nd International Conference on Education Research and Training Technologies (ERTT 2026)
PB  - Atlantis Press
SP  - 257
EP  - 267
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-628-4_28
DO  - 10.2991/978-2-38476-628-4_28
ID  - Yu2026
ER  -