Document Type : Original Research Paper
Author
Department of Educational Technology, Faculty of Psychology and Educational Sciences, Allameh tabataba'i university, Tehran, Iran
Abstract
Background and Objectives: In recent decades, artificial intelligence has become increasingly prevalent in our lives and has had a significant impact on various fields including education. In the 21st century, education is undergoing a profound transformation, and at the heart of this revolution is artificial intelligence. AI is reshaping the way we teach and learn, providing numerous opportunities to enhance the learning experience for both teachers and students. AI-powered educational platforms have the ability to collect and analyze vast amounts of data, allowing them to gain insights into students' strengths, weaknesses, and learning preferences. The purpose of this research was to identify the challenges and capabilities of artificial intelligence in teaching and learning and to propose solutions.
Methods: A qualitative phenomenological research approach was employed using an exploratory strategy. The study commenced with a systematic review of relevant literature and articles. After a thorough review of the existing research and the identification of initial indicators, interviews were conducted with experts in the field. The interview data were analyzed using thematic analysis. The population of this study included all experts and faculty members in the fields of educational technology and artificial intelligence. A purposeful sampling method was used to select 15 participants, ensuring theoretical saturation. Semi-structured interviews were used as the data collection tool. The data were coded using an interpretive thematic analysis approach. To ensure the reliability and validity of the data, the criteria of reliability and final validity were employed.
Findings: Research findings indicated the identification of 112 basic themes, 29 organizing themes, and 3 overarching themes. In this regard, the challenges and issues associated with artificial intelligence included educational, ethical, legal, and security, social and interactive, technological and infrastructural, cultural, and economic challenges. Based on the research findings, the capabilities of research included improving assessment and evaluation processes and providing feedback, ensuring global access and educational equity, enhancing faculty capabilities in the educational process, teaching various disciplines, content production, instructional design, innovation in the educational process, fostering creativity and thinking, making education interactive, education and support for students with special needs, strengthening scientific skills, encouraging learning, innovating in the delivery of educational services, artificial intelligence as a teaching assistant, and adapting education to individual needs using artificial intelligence. Research findings revealed that the solutions to these challenges included using artificial intelligence as a teaching assistant, reviewing and evaluating data generated by artificial intelligence, developing policies, laws, and protocols in the field of artificial intelligence application, producing, building, and designing artificial intelligence applications, interaction between experts in the field of artificial intelligence in education, developing the necessary hardware and software for artificial intelligence applications, improving performance evaluation methods with artificial intelligence, and promoting a culture and education on how to use artificial intelligence.
Conclusion: Creating comprehensive AI literacy programs is essential to ensure that learners and educators can navigate the AI landscape effectively. These programs should not only address technical aspects but also data privacy and ethical considerations. By equipping individuals with the necessary knowledge and skills, institutions can promote the ethical use of AI and mitigate potential risks.
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