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A Human-Centered Learning and Teaching Framework Using Generative Artificial Intelligence for Self-Regulated Learning Development Through Domain Knowledge Learning in K-12 Settings

Authors
Siu-Cheung Kong,
Yin Yang
Date
Publisher
IEEE
The advent of generative artificial intelligence (AI) has ignited an increase in discussions about generative AI tools in education. In this study, a human-centered learning and teaching framework that uses generative AI tools for self-regulated learning development through domain knowledge learning was proposed to catalyze changes in educational practices. The framework illustrates how generative AI tools can revolutionize educational practices and transform the processes of teaching and learning to become human-centered. It emphasizes the evolving roles of teachers, who increasingly become skillful facilitators and humanistic storytellers who craft differentiated instructions and attempt to develop student individualized learning. Drawing upon insights from neuroscience, the framework guides students to employ generative AI tools to augment their attentiveness, stimulate active engagement in learning, receive immediate feedback, and encourage self-reflection. The pedagogical approach is also reimagined; teachers equipped with generative AI tools and AI literacy can refine their teaching strategies to better equip students to meet future challenges. The practical application of the framework is demonstrated in a case study involving the development of Chinese language writing ability among primary students within a K-ì12 educational context. This article also reports the results of a 60-h development programme for teachers. Specifically, providing in-service teachers with cases involving uses of the proposed framework helped them to better understand the generative AI concepts and integrate them into their teaching and learning and increased their perceived ability to design AI-integrated courses that would enhance students√ɬÉ√ǬÉ√ɬÇ√ǬÉ√ɬÉ√ǬÇ√ɬÇ√ǬÉ√ɬÉ√ǬÉ√ɬÇ√ǬÇ√ɬÉ√ǬÇ√ɬÇ√Ǭ¢√ɬÉ√ǬÉ√ɬÇ√ǬÉ√ɬÉ√ǬÇ√ɬÇ√ǬÇ√ɬÉ√ǬÉ√ɬÇ√ǬÇ√ɬÉ√ǬÇ√ɬÇ√ǬÄ√ɬÉ√ǬÉ√ɬÇ√ǬÉ√ɬÉ√ǬÇ√ɬÇ√ǬÇ√ɬÉ√ǬÉ√ɬÇ√ǬÇ√ɬÉ√ǬÇ√ɬÇ√Ǭô attention, engagement, confidence, and satisfaction.
Study at a glance
  • Question: How can generative AI tools support student learning and teacher instruction in K-12 classrooms?
  • Setting and data: K-12 primary students learning Chinese writing, and in-service teachers in a 60-hour development program.
  • Method: Case study and evaluation of a 60-hour teacher development program.
Why it matters

The advent of generative artificial intelligence has ignited an increase in discussions about generative AI tools in education. Catalyzing changes in educational practices can transform teaching and learning to become human-centered.

Key findings
  • In a 60-hour teacher training program, framework examples helped in-service teachers understand generative AI and increased their perceived ability to design AI-integrated courses.
  • Students can employ generative AI tools to augment their attention, actively engage in learning, receive immediate feedback, and practice self-reflection.
  • Equipped with generative AI and literacy, teachers can serve as facilitators and storytellers who craft differentiated instruction for individualized student learning.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

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