Guiding or Misleading: Challenges of Artificial Intelligence-Generated Content in Heuristic Teaching: ChatGPT

Artificial intelligence (AI)-generated content (AIGC) is an innovative technology that utilizes machine learning, AI models, reward modeling, and natural language processing (NLP) to create diverse digital content such as videos, images, and text. It has the potential to support various human activities with significant implications in teaching and learning, facilitating heuristic teaching for educators. By using AIGC, teachers can create extensive knowledge content and effectively design instructional strategies to guide students, aligning with heuristic teaching. However, incorporating AIGC into heuristic teaching has controversies and concerns, which potentially mislead outcomes. Nevertheless, leveraging AIGC greatly benefits teachers in enhancing heuristic teaching. When integrating AIGC to support heuristic teaching, challenges and risks must be acknowledged and addressed. These challenges include the need for users to possess sufficient knowledge reserves to identify incorrect information and content generated by AIGC, the importance of avoiding excessive reliance on AIGC, ensuring users maintain control over their actions rather than being driven by AIGC, and the necessity of scrutinizing and verifying the accuracy of information and knowledge generated by AIGC to preserve its effectiveness.

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Publication Details

Published
2025-08-04
DOI
https://doi.org/10.3390/engproc2025103001
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Guiding or Misleading: Challenges of Artificial Intelligence-Generated Content in Heuristic Teaching: ChatGPT

Ping‐Kuo Chen
Artificial Intelligence in Healthcare and Education
article

Guiding or Misleading: Challenges of Artificial Intelligence-Generated Content in Heuristic Teaching: ChatGPT

Ping‐Kuo Chen
article en

Abstract

Artificial intelligence (AI)-generated content (AIGC) is an innovative technology that utilizes machine learning, AI models, reward modeling, and natural language processing (NLP) to create diverse digital content such as videos, images, and text. It has the potential to support various human activities with significant implications in teaching and learning, facilitating heuristic teaching for educators. By using AIGC, teachers can create extensive knowledge content and effectively design instructional strategies to guide students, aligning with heuristic teaching. However, incorporating AIGC into heuristic teaching has controversies and concerns, which potentially mislead outcomes. Nevertheless, leveraging AIGC greatly benefits teachers in enhancing heuristic teaching. When integrating AIGC to support heuristic teaching, challenges and risks must be acknowledged and addressed. These challenges include the need for users to possess sufficient knowledge reserves to identify incorrect information and content generated by AIGC, the importance of avoiding excessive reliance on AIGC, ensuring users maintain control over their actions rather than being driven by AIGC, and the necessity of scrutinizing and verifying the accuracy of information and knowledge generated by AIGC to preserve its effectiveness.

Ritsumeikan Asia Pacific University (JP)
Openalex Percentile: Top 86%
Artificial Intelligence in Healthcare and Education
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Guiding or Misleading: Challenges of Artificial Intelligence-Generated Content in Heuristic Teaching: ChatGPT — Ping‐Kuo Chen · (2025) | TGRS Research Map | TGRS