Work

Digital Assistants: AI to Reduce Teachers' Expectations of Reality Shock

Year: 2025

Type: conference-paper

Abstract: This research emphasizes the importance of integrating AI technologies into teacher training programs, highlighting the potential solutions these tools provide for common issues faced during teachers' early professional years. Through qualitative analysis of semi-structured interviews with computer science teachers, this study identifies teachers' purposes for using AI tools, essential features digital mentoring assistants should possess, and how these systems could support professional development. Findings indicate teachers primarily use digital assistants for academic tasks, general research, educational practices, and student support. Key recommendations for AI mentoring assistants include cultural adaptability, realistic simulations, emotional and psychological support, easy accessibility, and facilitating interaction with experienced mentors. Overall, the research underscores AI's promising role in teacher education, calling for well-structured, accessible AI mentoring systems to effectively support teachers' adaptation processes.

Source: International Symposium on Digital Forensics and Security (ISDFS)

DOI: 10.1109/isdfs65363.2025.11011917

Authors: Songül Karabatak, Müslim Alanoğlu, Ayşenur Kuloğlu, Ezgi Bozkurt

Institutions: Fırat University, Mi̇lli̇ Eği̇ti̇m Bakanliği

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

Funder: Türkiye Bilimsel ve Teknolojik Araştırma Kurumu