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

National Cheng Kung University · National Yunlin University of Science and Technology

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Abstract

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…

Citation impact

185
total citations
FWCI
128.42
Percentile
100%
References
74
Citations per year

Authors

5

Topics & keywords

Keywords
  • Higher-order thinking
  • Mechanism (biology)
  • Higher education
  • Order (exchange)
  • Blended learning
  • Mathematics education
  • Educational technology
  • Self-regulated learning
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