Teachers' and students' perceptions of AI-generated concept explanations: Implications for integrating generative AI in computer science education

被引：0
|
作者：
Lee, Soohwan [1 ]
Song, Ki-Sang [1 ]
机构：
[1] Department of Computer Education, Korea National University of Education, 250, Taeseongtabyeon-ro, Gangnae-myeon, Heungdeok-gu, Chungcheongbuk-do, Cheongju-si, Korea, Republic of
来源：
Computers and Education: Artificial Intelligence | 2024年 / 7卷
关键词：
The educational application of Generative AI (GAI) has garnered significant interest; sparking discussions about the pedagogical value of GAI-generated content. This study investigates the perceived effectiveness of concept explanations produced by GAI compared to those created by human teachers; focusing on programming concepts of sequence; selection; and iteration. The research also explores teachers' and students' ability to discern the source of these explanations. Participants included 11 teachers and 70 sixth-grade students who were presented with concept explanations created or generated by teachers and ChatGPT. They were asked to evaluate the helpfulness of the explanations and identify their source. Results indicated that teachers found GAI-generated explanations more helpful for sequence and selection concepts; while preferring teacher-created explanations for iteration (χ2(2; N = 11) = 10.062; p; 007; ω = .595). In contrast; students showed varying abilities to distinguish between AI-generated and teacher-created explanations across concepts; with significant differences observed (χ2(2; N = 70) = 22.127; p © 2024 The Authors;
D O I：
10.1016/j.caeai.2024.100283
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