Role of AI in the Education Sector in the Kingdom of Bahrain

Ghadeer Ismail Khalil, Hafsa Mohammad Sajjad, Manal Sohail, Zahra Ishfaq
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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.
人工智能在巴林王国教育部门的作用
由于人工智能(AI),机器可以通过经验学习,适应新的输入信息,并执行必要的类似人类的职责。人工智能在教育行业的适应变得更加重要。本研究旨在从学生-教师的角度确定人工智能(AI)在巴林王国教育中的作用,并通过采用技术接受模型(TAM)来检查其因素。为了实现本研究的目标,研究了在教育中实施人工智能的效率和便利性,以进一步调查学生和教育工作者面临的挑战。采用定量和定性方法从巴林的大学收集数据,样本量为383人,采用分层抽样法和有目的抽样法。对调查结果的分析总共得到了501份回复。结果分析显示,学生和教师都认为安全和隐私问题是在教育中使用人工智能的最普遍障碍。尽管人工智能工具和应用涵盖了大多数道德方面,但数据隐私和安全问题仍然是用户关注的重要问题。此外,学生和教师都同意人工智能支持自主学习,但如果没有一套技能和一些经验,使用人工智能可能会很复杂。此外,主要的限制是收集数据所消耗的时间。这项研究提出了改善结果和克服未来挑战的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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