Ghadeer Ismail Khalil, Hafsa Mohammad Sajjad, Manal Sohail, Zahra Ishfaq
{"title":"Role of AI in the Education Sector in the Kingdom of Bahrain","authors":"Ghadeer Ismail Khalil, Hafsa Mohammad Sajjad, Manal Sohail, Zahra Ishfaq","doi":"10.1109/ICCoSITE57641.2023.10127838","DOIUrl":null,"url":null,"abstract":"Machines can learn through experience, adapt to new input information, and carry out the necessary human-like duties thanks to artificial intelligence (AI). AI adaptation in the education industry has become more significant. This research aimed to determine the role of Artificial Intelligence (AI) on education in the Kingdom of Bahrain from a student-teacher perspective and examine its factors by adapting Technology Acceptance Model (TAM). To fulfil the objectives of this research, efficiency and convenience of implementing AI within education has been examined to further investigate the challenges faced by students and educators. A quantitative and qualitative approach was used to gather data from the universities in Bahrain, with a sample size of 383 determined by the Stratified Sampling method and Purposive Sampling. The analysis of the responses to the conducted survey resulted in a total of 501 responses. The results analysis revealed that both students and instructors believe security and privacy issues to be the most prevalent obstacle to the use of AI in education. Although AI tools and applications cover most of the ethical aspects, data privacy and security issues remain to be important concerns for users. Furthermore, both students and instructors agree that AI supports self- dependent learning, but it might be complex to use without a set of skills and some experience. In addition, the main limitation was the time consumed in collecting data. The research suggests methods to improve the results and overcome future challenges.","PeriodicalId":256184,"journal":{"name":"2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)","volume":"40 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCoSITE57641.2023.10127838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Machines can learn through experience, adapt to new input information, and carry out the necessary human-like duties thanks to artificial intelligence (AI). AI adaptation in the education industry has become more significant. This research aimed to determine the role of Artificial Intelligence (AI) on education in the Kingdom of Bahrain from a student-teacher perspective and examine its factors by adapting Technology Acceptance Model (TAM). To fulfil the objectives of this research, efficiency and convenience of implementing AI within education has been examined to further investigate the challenges faced by students and educators. A quantitative and qualitative approach was used to gather data from the universities in Bahrain, with a sample size of 383 determined by the Stratified Sampling method and Purposive Sampling. The analysis of the responses to the conducted survey resulted in a total of 501 responses. The results analysis revealed that both students and instructors believe security and privacy issues to be the most prevalent obstacle to the use of AI in education. Although AI tools and applications cover most of the ethical aspects, data privacy and security issues remain to be important concerns for users. Furthermore, both students and instructors agree that AI supports self- dependent learning, but it might be complex to use without a set of skills and some experience. In addition, the main limitation was the time consumed in collecting data. The research suggests methods to improve the results and overcome future challenges.