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Dabae Lee; Taekwon Son; Sheunghyun Yeo – Journal of Computer Assisted Learning, 2025
Background: Artificial Intelligence (AI) technologies offer unique capabilities for preservice teachers (PSTs) to engage in authentic and real-time interactions using natural language. However, the impact of AI technology on PSTs' responsive teaching skills remains uncertain. Objectives: The primary objective of this study is to examine whether…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Preservice Teachers
ElSayary, Areej – Journal of Computer Assisted Learning, 2023
Background: The emergence of remote teaching during the Coronavirus (COVID-19) pandemic caused several gaps due to teachers being unprepared to teach online. Teachers did not achieve many digital competencies, resulting in an inability to facilitate the students' learning by using technology creatively to overcome challenges. Accordingly,…
Descriptors: Skill Development, Job Training, Faculty Development, Teacher Competencies