While GPT4 is more factual than earlier models, errors still occur, especially in grammar or content nuances. Studies caution that occasional hallucinations or biased outputs could mislead learners .
Academic Integrity
Concerns arise around students over-relying on AI, risking plagiarism. The solution lies in using GPT4 as a scaffold---not a substitute. Educators can require drafts, reflection logs, or annotation layers to ensure originality and understanding .
Privacy and Data Security
Platforms using GPT4 collect user inputs, raising questions about student privacy and data use. Institutions must establish ethical frameworks---clear consent, anonymized storage, and transparent policies.
Accessibility and Equity
Advanced tools like GPT4o are more inclusive, but access depends on internet connectivity, device availability, and affordability. Schools must work to bridge digital divides to ensure equitable learning opportunities .
5. Future Directions
Robust Empirical Research
Although ample anecdotal success exists, rigorous evaluations remain limited. Future studies should adopt quasiexperimental designs and standardized assessments to measure AIdriven learning outcomes across all language skills .
Adaptive Intelligent Tutoring Systems (ITS)
