How Can AI-Enhanced Case-based Learning Improve Problem-Solving in Cyberbullying Education? : A Literature Review

Authors

  • Mihnatuz Zahroh Universitas Negeri Surabaya, Indonesia
  • Andi Kristanto Universitas Negeri Surabaya, Indonesia
  • Utari Dewi Universitas Negeri Surabaya, Indonesia

DOI:

https://doi.org/10.33394/jtp.v10i2.14704

Keywords:

AI-enhanced learning, Case-based Learning (CBL), Cyberbullying education, Problem-solving skills, ChatGPT-4, Digital safety, Active learning, Educational technology.

Abstract

Cyberbullying poses a significant challenge to students’ psychological well-being, academic success, and social interactions. Traditional educational models struggle to equip students with the problem-solving skills to address this issue effectively. Existing research highlights the benefits of case-based learning (CBL) in developing problem-solving, yet little is known about how AI-enhanced CBL can specifically support cyberbullying education. This study conducts a literature review to analyze the potential of AI-enhanced CBL in strengthening students’ problem-solving skills in cyberbullying scenarios. Using a thematic synthesis approach, relevant studies from 2020 to 2025 were reviewed, focusing on AI applications in cyberbullying education, the effectiveness of CBL in fostering problem-solving skills, and AI-enhanced CBL's role in improving student problem-solving. Findings indicate that AI-enhanced CBL offers interactive case simulations, real-time feedback, and adaptive learning pathways, leading to improved analytical reasoning and decision-making in cyberbullying situations. Integrating AI, particularly large language models like ChatGPT-4, enhances engagement and scalability while fostering problem-solving abilities. These insights have significant implications for educators, policymakers, and researchers seeking to implement AI-driven learning models that prepare students for the complexities of digital interactions.

Author Biographies

Mihnatuz Zahroh, Universitas Negeri Surabaya

Educational Technology Department

Andi Kristanto, Universitas Negeri Surabaya

Educational Technology Department

Utari Dewi, Universitas Negeri Surabaya

Educational Technology Department

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Published

2025-04-25

How to Cite

Zahroh, M., Kristanto, A., & Dewi, U. (2025). How Can AI-Enhanced Case-based Learning Improve Problem-Solving in Cyberbullying Education? : A Literature Review. Jurnal Teknologi Pendidikan : Jurnal Penelitian Dan Pengembangan Pembelajaran, 10(2), 200–213. https://doi.org/10.33394/jtp.v10i2.14704

Issue

Vol. 10 No. 2 (2025): April

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Articles

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