Empowering ChatGPT with guidance mechanism in blended learning: effect of self-regulated learning, higher-order thinking skills, and knowledge construction

IF 8.6 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
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Abstract

In the evolving landscape of higher education, challenges such as the COVID-19 pandemic have underscored the necessity for innovative teaching methodologies. These challenges have catalyzed the integration of technology into education, particularly in blended learning environments, to bolster self-regulated learning (SRL) and higher-order thinking skills (HOTS). However, increased autonomy in blended learning can lead to learning disruptions if issues are not promptly addressed. In this context, OpenAI's ChatGPT, known for its extensive knowledge base and immediate feedback capability, emerges as a significant educational resource. Nonetheless, there are concerns that students might become excessively dependent on such tools, potentially hindering their development of HOTS. To address these concerns, this study introduces the Guidance-based ChatGPT-assisted Learning Aid (GCLA). This approach modifies the use of ChatGPT in educational settings by encouraging students to attempt problem-solving independently before seeking ChatGPT assistance. When engaged, the GCLA provides guidance through hints rather than direct answers, fostering an environment conducive to the development of SRL and HOTS. A randomized controlled trial (RCT) was employed to examine the impact of the GCLA compared to traditional ChatGPT use in a foundational chemistry course within a blended learning setting. This study involved 61 undergraduate students from a university in Taiwan. The findings reveal that the GCLA enhances SRL, HOTS, and knowledge construction compared to traditional ChatGPT use. These results directly align with the research objective to improve learning outcomes through providing guidance rather than answers by ChatGPT. In conclusion, the introduction of the GCLA has not only facilitated more effective learning experiences in blended learning environments but also ensured that students engage more actively in their educational journey. The implications of this study highlight the potential of ChatGPT-based tools in enhancing the quality of higher education, particularly in fostering essential skills such as self-regulation and HOTS. Furthermore, this research offers insights regarding the more effective use of ChatGPT in education.

在混合式学习中利用指导机制增强 ChatGPT 的能力:对自我调节学习、高阶思维能力和知识建构的影响
摘要 在不断发展的高等教育领域,COVID-19 大流行病等挑战凸显了创新教学方法的必要性。这些挑战促进了技术与教育的融合,特别是在混合式学习环境中,以加强自我调节学习(SRL)和高阶思维技能(HOTS)。然而,如果不能及时解决问题,混合式学习中自主性的提高可能会导致学习中断。在这种情况下,OpenAI 的 ChatGPT 因其广泛的知识库和即时反馈能力而闻名,成为一种重要的教育资源。不过,也有人担心学生可能会过度依赖这类工具,从而阻碍他们发展 HOTS。为了解决这些问题,本研究引入了基于指导的 ChatGPT 辅助学习工具(GCLA)。这种方法修改了 ChatGPT 在教育环境中的使用,鼓励学生在寻求 ChatGPT 帮助之前独立尝试解决问题。当学生参与时,GCLA 会通过提示而不是直接回答来提供指导,从而营造出一种有利于发展自学能力(SRL)和学习策略(HOTS)的环境。本研究采用随机对照试验(RCT)的方法,在混合式学习环境下的化学基础课程中,考察 GCLA 与传统 ChatGPT 相比的影响。这项研究涉及台湾一所大学的 61 名本科生。研究结果表明,与传统的 ChatGPT 相比,GCLA 增强了 SRL、HOTS 和知识建构。这些结果与通过 ChatGPT 提供指导而不是答案来提高学习效果的研究目标直接吻合。总之,GCLA 的引入不仅促进了混合式学习环境中更有效的学习体验,还确保了学生更积极地参与到他们的教育旅程中。本研究的意义强调了基于 ChatGPT 的工具在提高高等教育质量方面的潜力,特别是在培养自我调节和 HOTS 等基本技能方面。此外,本研究还为在教育中更有效地使用 ChatGPT 提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
19.30
自引率
4.70%
发文量
59
审稿时长
76.7 days
期刊介绍: This journal seeks to foster the sharing of critical scholarly works and information exchange across diverse cultural perspectives in the fields of technology-enhanced and digital learning in higher education. It aims to advance scientific knowledge on the human and personal aspects of technology use in higher education, while keeping readers informed about the latest developments in applying digital technologies to learning, training, research, and management.
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