Teachers’ Acceptance and Tolerance of AI Generated/Assisted Student Work
Authors
Graduate Student, Central Mindanao University, Musuan Bukidnon, Philippines (Philippines)
Associate Professor IV, Central Mindanao University, Musuan Bukidon, Philippines (Philippines)
Article Information
DOI: 10.47772/IJRISS.2026.100500101
Subject Category: Education
Volume/Issue: 10/5 | Page No: 1475-1483
Publication Timeline
Submitted: 2026-04-26
Accepted: 2026-05-01
Published: 2026-05-23
Abstract
The rapid integration of generative artificial intelligence (AI) tools in education has transformed how students produce academic outputs and how teachers evaluate them. This study examines teachers’ perceptions, acceptance, tolerance, challenges, and countermeasures regarding AI-assisted student work in Philippine secondary schools. Using a qualitative descriptive design, data were collected from 20 public secondary school teachers across various subject areas through semi-structured interviews administered via Google Forms. Thematic analysis was applied to identify recurring patterns and sentiments, providing insights into how educators balance innovation with academic integrity. Findings show that teachers detect AI use through stylistic discrepancies and cognitive mismatches, such as sudden improvements in grammar, vocabulary, and coherence that do not align with a student’s typical performance. Acceptance of AI is conditional, with teachers allowing its use as a scaffold for learning—particularly for grammar checking, idea organization, and brainstorming—provided students demonstrate transparency and accountability. Tolerance is framed by clear pedagogical rules, with educators permitting AI use in low-stakes tasks under disclosure requirements and process-based evidence. However, challenges persist, particularly a crisis of authenticity and cognitive ownership, as polished AI outputs often mask diminished creativity and critical thinking. To address these issues, teachers employ countermeasures such as requiring multiple drafts, oral defenses, contextualized tasks, and process-based assessments, thereby restoring the human element in learning.
This study emphasizes that teachers’ responses to AI are shaped by conditional frameworks that balance innovation with integrity. It recommends institutional policies and training programs that support ethical AI use, strengthen teacher competence, and embed accountability measures to ensure AI remains a supplementary aid rather than a replacement for authentic student effort.
Keywords
Artificial Intelligence, Teacher Perceptions, Acceptance, Tolerance, Countermeasure
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References
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