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Chiu et al. (2022) 12-chapter school-based AI curriculum

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Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 1 of 1 report an effect size · 1 claim rests on one study

Description

A year-long, 12-chapter secondary-school AI curriculum covering machine learning, computer vision, speech and language processing, ethics, societal implications, and the future of work, developed by Chiu et al.

Components

  • Year-long school-based AI curriculum with hands-on activities and AI-enabled chatbots: A 12-chapter school-based AI curriculum developed by Chiu et al. (2022) covering machine learning, computer vision, speech and language processing, ethical and societal implications, and the future of work. The article reports that "The curriculum incorporated hands-on activities, case-based discussions, and interactive learning tasks supported by AI-enabled chatbots, allowing students to explore how AI systems operate and how they influence everyday decision-making." Participating teachers attended a professional development workshop on the curriculum's pedagogical design before implementation. (Liang et al. (2026))

Claims

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Key Sources

  • Liang, S., Yau, K. W., Meng, H., Chiu, T. K. F., King, I., Yam, Y., & Chai, C. S. (2026). From disengaged to self-determined: A latent transition analysis of students' AI learning motivation. Education and Information Technologies. https://doi.org/10.1007/s10639-026-13998-y
Page metadata
Field Value
type product
id chiu-et-al-2022-12-chapter-school-based-ai-curriculum
title Chiu et al. (2022) 12-chapter school-based AI curriculum
description A year-long, 12-chapter secondary-school AI curriculum covering machine learning, computer vision, speech and language processing, ethics, societal implications, and the future of work, developed by Chiu et al.
status review
product_kind curriculum
generated by process:settle-candidates on 2026-10-11
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