AI in the L2 Classroom
Excellent Educator, Volume: 2, Issue: 24, Page: 6
Summary of Dakakni & Safa (2023)
Academic Insights
- 85% of students use AI for coursework, raising concerns about academic honesty and integrity.
- Students find AI useful yet distrust it due to privacy, equity, and job fears.
- All students still prefer human teachers over AI, valuing real interpersonal interaction.
- Instructors worry about plagiarism, reduced creativity, and want AI training mainly for monitoring misuse.
- Students show limited awareness of ethical risks like bias, privacy issues, and digital divides.
- Unmonitored AI use may weaken motivation, reduce critical thinking, and widen learning inequities.
Apply This Now
- Build AI-proof tasks (analysis, critique, reasoning) so learning depends on thinking, not on AI-written outputs.
- Talk openly with students about privacy, credibility, and bias so they can use AI responsibly.
- Keep student–teacher connection central; avoid replacing interaction with automated tools.
Add This in Your Lesson
Ask students to critique an AI-generated paragraph for Accuracy, coherence, bias or stereotyping, missing reasoning. This builds higher-order thinking and reduces over-reliance on AI-generated writing.
Avoid This Mistake
Letting AI tools replace foundational learning behaviors—reading, reasoning, and original writing—which can lead to intellectual laziness, disengagement, and widening skill gaps.
Source/Citation
Dakakni, D., & Safa, N. (2023). Artificial intelligence in the L2 classroom: Implications and challenges on ethics and equity in higher education: A 21st century Pandora’s box. Computers and Education: Artificial Intelligence, 5, 100179.
Ross, E., & Malar, D. B. J. (2025). AI in the L2 Classroom. Excellent Educator, 2(24), 6.
