Capacity Building for Student Teachers in Learning, Teaching Artificial Intelligence for Quality of Education

Zehra Altinay (), Fahriye Altinay, Ramesh Chander Sharma, Gokmen Dagli, Rustam Shadiev, Betul Yikici and Mehmet Altinay
Additional contact information
Zehra Altinay: Societal Research and Development Center, Faculty of Education, Near East University, Mersin 99138, Turkey
Fahriye Altinay: Societal Research and Development Center, Institute of Graduate Studies Faculty of Education, Near East University, Mersin 99138, Turkey
Ramesh Chander Sharma: Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun 248002, India
Gokmen Dagli: Faculty of Education, University of Kyrenia, Mersin 99138, Turkey
Rustam Shadiev: College of Education, Zhejiang University, Hangzhou 310027, China
Betul Yikici: Faculty of Education, University of Kyrenia, Mersin 99138, Turkey
Mehmet Altinay: Faculty of Education, University of Kyrenia, Mersin 99138, Turkey

Societies, 2024, vol. 14, issue 8, 1-18

Abstract: The future of education relies on the integration of information technologies, emphasizing the importance of equity and inclusiveness for quality education. Teacher education programs are essential for fostering qualified educators for the future. Integrating AI in education is crucial to ensure inclusivity and comprehensive services for all. This study aims to evaluate student teachers’ perceptions of using AI in learning and teaching, and to provide suggestions for enhancing sustainable education through information technologies. A qualitative research design was adopted to gather perceptions and experiences from 240 student teachers who participated in a seminar on AI usage and completed self-reflection tasks. These student teachers, enrolled in various teaching methods and principal courses, contributed to the thematic analysis. The study reveals that AI should be carefully planned and incorporated into lesson plans to enhance personalized learning. Student teachers reported that AI supports and motivates the learning process, effectively transforming students’ needs and learning experiences. However, they also noted potential drawbacks, such as AI imposing restrictions on the teaching profession, replacing teachers, and producing biased results. The study suggests that capacity-building strategies for student teachers should be enriched across different courses to raise awareness about AI’s applications.

Keywords: artificial intelligence in education; student teachers; sustainable education; teacher education programs; quality of education (search for similar items in EconPapers)
JEL-codes: A13 A14 P P0 P1 P2 P3 P4 P5 Z1 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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