Integrating AI in education: Opportunities, challenges, and ethical considerations

Chima Abimbola Eden 1, *, Onyebuchi Nneamaka Chisom 2 and Idowu Sulaimon Adeniyi 3

1 Faculty of Humanities and Social Sciences, University of Strathclyde, UK.
2 National Examinations Council (NECO) Nigeria.
3 Department of Sociology, University of Ibadan, Ibadan, Nigeria.
 
Review Article
Magna Scientia Advanced Research and Reviews, 2024, 10(02), 006–013​
Article DOI: 10.30574/msarr.2024.10.2.0039
Publication history: 
Received on 19 January 2024; revised on 29 February 2024; accepted on 02 March 2024
 
Abstract: 
Integrating Artificial Intelligence (AI) in education presents a promising frontier with manifold opportunities, yet it also poses significant challenges and necessitates ethical considerations. This review explores the multifaceted landscape of AI integration in education, highlighting its potential to revolutionize traditional pedagogical approaches, personalize learning experiences, and streamline administrative tasks. However, it also addresses the challenges pertaining to implementation, including issues related to accessibility, data privacy, and the digital divide. The opportunities afforded by AI in education are vast and transformative. AI-driven technologies have the capacity to adapt instruction to individual learning styles, thereby enhancing student engagement and academic outcomes. Additionally, AI-powered tools can automate administrative tasks, allowing educators to allocate more time to meaningful interactions with students. Moreover, AI holds promise in facilitating the creation of immersive learning environments through virtual reality and augmented reality applications, enriching the educational experience. Nevertheless, the integration of AI in education presents ethical considerations that warrant careful examination. Concerns regarding data privacy and security arise as educational institutions collect and analyze vast amounts of student data. Moreover, there are apprehensions about the potential for AI algorithms to perpetuate biases or reinforce inequalities if not implemented with conscientious oversight. Furthermore, questions surrounding the ethical use of AI in assessing student performance and making consequential decisions underscore the importance of establishing transparent and accountable practices. While the integration of AI in education offers unprecedented opportunities for innovation and improvement, it is imperative to navigate the associated challenges with diligence and ethical foresight. By addressing these challenges thoughtfully, stakeholders can harness the full potential of AI to cultivate equitable, inclusive, and effective educational environments.
 
Keywords: 
AI; Ethical; Education; Challenges; Innovation; Review
 
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