The Impact of Artificial General Intelligence-Assisted Project-Based Learning on Students’ Higher Order Thinking and Self-Efficacy

IF 2.9 3区教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS IEEE Transactions on Learning Technologies Pub Date : 2024-10-30 DOI:10.1109/TLT.2024.3488086

Ruxin Zheng;Huifen Xu;Minjuan Wang;Jijian Lu

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Abstract

This study investigates the impact of artificial general intelligence (AGI)-assisted project-based learning (PBL) on students’ higher order thinking and self-efficacy. Based on input from 17 experts, four key roles of AGI in supporting PBL were identified: information retrieval, information processing, information generation, and feedback evaluation. An educational experiment was then conducted with 198 eighth-grade students from two middle schools in China, using a pretest and posttest design. The students were divided into three groups: Experimental Group A (AGI-assisted PBL), Control Group B (PBL without AGI assistance), and Control Group C (traditional teaching methods). A scale was administered to assess students’ higher order thinking and self-efficacy before and after the experiment. In addition, semistructured interviews were conducted with 12 students from Experimental Group A to gather qualitative data on their perceptions of AGI-assisted PBL. The results indicated that students in Experimental Group A had significantly higher scores in higher order thinking and self-efficacy compared to those in Control Groups B and C, demonstrating the positive impact of AGI in supporting PBL learning.

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人工通用智能辅助项目式学习对学生高阶思维和自我效能的影响

本研究调查了人工智能（AGI）辅助项目式学习（PBL）对学生高阶思维和自我效能的影响。根据 17 位专家的意见，确定了 AGI 在支持项目式学习中的四个关键作用：信息检索、信息处理、信息生成和反馈评估。随后，对来自中国两所中学的 198 名八年级学生进行了教育实验，实验采用前测和后测设计。学生被分为三组：实验组 A（AGI 辅助的 PBL）、对照组 B（无 AGI 辅助的 PBL）和对照组 C（传统教学方法）。实验前后对学生的高阶思维和自我效能进行了量表评估。此外，还对实验组 A 的 12 名学生进行了半结构式访谈，以收集他们对 AGI 辅助 PBL 的看法的定性数据。结果表明，与对照组 B 和 C 的学生相比，实验组 A 的学生在高阶思维和自我效能感方面的得分明显更高，这证明了 AGI 在支持 PBL 学习方面的积极影响。

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来源期刊

IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

7.50

自引率

5.40%

发文量

审稿时长

>12 weeks

期刊介绍： The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.