Opportunities and Challenges of AI towards Education: A Systematic Literature Review

Description

Page: 266-271

Mohammad Khalid Khawrin¹ and Edgar Fidel Nderego² (Department of Judgement and Prosecution, Kunduz University, Afghanistan¹ and Department of Curriculum and Instruction, The Open University of Tanzania, Tanzania, East Africa²)

The introduction of artificial intelligence has opened up a new road for educational advancement, but students must also increase the creative play of professional education at the same time. Through a thorough evaluation of the literature, the research’s goal is to examine and analyze the potential uses of AI in education. This research used a systematic literature review method to analyze and summarize all available research studies on a specific topic. The research topic was established before conducting a pre-search for relevant terms, selecting appropriate open-source published articles, and downloading papers in RIS format. The findings were then combined to draw a general conclusion based on the visible network picture. The main objective of the systematic literature review is to provide an exhaustive assessment of the state of knowledge in the field and identify research gaps that need to be filled. Moreover, AI has more benefits for all stakeholders in every organization, even educational institutions. The study analyzed the co-occurrence of terms in 2295 open-source articles and found that the term “artificial intelligence” occurred 611 times and had 638 links with other terms in the network visualization. The term “challenges” was cited 56 times and had 201 links with other terms, and “research challenges” was cited 31 times. The term “opportunities” occurred 141 times with 467 links to other terms. Other terms such as “education,” “researcher,” “student,” “teacher,” “teaching,” and “university” also had notable co-occurrences and links to other data sets. It is advised to consider the ethical implications of AI in education and how to ensure that the technology is used equitably and ethically. Furthermore, AI must be officially educated in the academic field.