Generative AI: Challenges and Opportunities in the Higher Education Sector in Cambodia

Md. Monirul Islam ()
Additional contact information
Md. Monirul Islam: CamEd Business School

A chapter in Economics and Finance Readings, 2024, pp 103-117 from Springer

Abstract: Abstract Generative AI, a transformative technology, has the potential to revolutionize the education industry. This study explores the opportunities and challenges of applying generative AI in education. Generative AI enables intelligent tutoring systems that personalize learning experiences by analyzing vast data, adapting content, and meeting individual learner needs. These advancements can enhance student engagement and learning outcomes. However, ethical data use, infrastructure, expertise, and financial resources are challenges. Faculty training is crucial to utilize generative AI effectively. This research defines an ethical framework to ensure AI benefits education and human development. Challenges include data ethics, algorithmic bias, infrastructure requirements, and teacher preparedness. Overcoming these challenges allows the education sector to leverage generative AI for personalized and adaptive learning, optimizing student outcomes and empowering educators in the digital age.

Keywords: Generative AI; Education; Personalized learning; Adaptive learning; Intelligent tutoring systems; Data ethics; Algorithmic bias; Infrastructure; Teacher training; Ethical framework; Student outcomes (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-97-3512-9_6

Ordering information: This item can be ordered from
http://www.springer.com/9789819735129

DOI: 10.1007/978-981-97-3512-9_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().