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Ethically Utilizing GenAI Tools to Alleviate Challenges in Conventional Feedback Provision

  • Zainurrahman,
  • Pupung Purnawarman,
  • Ahmad Bukhori Muslim

摘要

Generative artificial intelligence (GenAI) is a subset of artificial intelligence (AI) that can generate content such as texts, images, videos, sounds, etc. While GenAI tools have been utilized in various contexts, their utilization in the academic context is still a controversial topic. Scholars observed that many universities have banned GenAI due to the potential for unethical usage. In this opinion article, we promote the utilization of GenAI tools as feedback agents to alleviate challenges in conventional feedback provision. Feedback is a valuable learning source, especially in writing instructions. However, conventional feedback provision is challenging due to the increase in teacher’s workload and social irritation issues in peer feedback. Utilized ethically, GenAI tools can alleviate these challenges. A few critical considerations are briefly presented.