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Teachers’ Beliefs and Decisions Regarding Artificial Intelligence Use in Education

Title: Teachers’ Beliefs and Decisions Regarding Artificial Intelligence Use in Education
Authors: Azis, Muhammad Abdul; Numan, Muhammad
Source: DUTIES: Education and Humanities International Journal; Vol. 2 No. 1 (2026): DUTIES: Education and Humanities International Journal; 69-91 ; 3090-9406 ; 10.70152/duties.v2i1
Publisher Information: CV. Akademi Merdeka
Publication Year: 2026
Subject Terms: Artificial intelligence; education; teacher agency; teacher beliefs; teacher decision-making
Description: The increasing integration of artificial intelligence (AI) into educational settings has raised important pedagogical and ethical questions, particularly regarding how teachers understand and decide to use AI in their instructional practices. This qualitative study explores teachers’ beliefs about AI use in education and examines how these beliefs shape their instructional decisions. Drawing on semi-structured interviews and thematic analysis, the study reveals that teachers hold nuanced and evaluative beliefs about AI, viewing it as a supportive pedagogical tool while expressing concerns about overreliance, learning quality, and professional responsibility. Rather than adopting AI uncritically, teachers exercise agency through selective integration and pedagogical regulation of AI use, particularly in relation to assessment and student accountability. Teachers’ decisions are shown to be context-sensitive and grounded in humanistic values that emphasize ethical judgment and meaningful teacher–student interaction. The findings suggest that AI use in education is best understood as a belief-driven and value-laden practice rather than a purely technical innovation. This study contributes to educational and humanities-oriented discussions by foregrounding teachers’ professional judgment in shaping responsible and pedagogically sound AI integration.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://journal.akademimerdeka.com/ojs/index.php/duties/article/view/323/93; https://journal.akademimerdeka.com/ojs/index.php/duties/article/view/323
DOI: 10.70152/duties.v2i1.323
Availability: https://journal.akademimerdeka.com/ojs/index.php/duties/article/view/323; https://doi.org/10.70152/duties.v2i1.323
Rights: Copyright (c) 2026 Muhammad Abdul Azis, Muhammad Numan ; https://creativecommons.org/licenses/by-sa/4.0/
Accession Number: edsbas.7407DDF7
Database: BASE