The Belayfy approach
We believe the best education technology does not replace human relationships: it helps every lesson carry more context, continuity, and purpose.
The principles behind Belayfy
They are product decisions, not just brand statements.
Learning is human
The lesson, the student–teacher relationship, and pedagogical judgment are at the centre of Belayfy.
AI assists; the teacher decides
AI can organize evidence and propose drafts. The teacher reviews, adapts, and retains the final decision about what the student receives.
Progress relies on real evidence
An initial test provides an estimate, not a certification. The baseline is refined through interaction, real lessons, and reviewed reports.
Continuity matters
Every lesson can inform the next one: what was observed, practised, and needed should not disappear when a session ends.
Responsible, transparent use
When AI supports lesson follow-up, we aim for its use to be informed, proportionate, and focused on supporting the teacher and student.
An evidence-informed position, not a promise
Research supports the value of feedback in second-language learning, but its effects depend on context, task type, and how it is used.
Recent evidence on AI-assisted feedback in second-language learning is promising: a synthesis of 19 studies and 11,875 students found a small positive overall effect and a larger effect on emotional engagement.
Reviews also identify important limits: uneven outcomes across designs and implementations, overreliance, errors, privacy, and lower reliability for areas such as pragmatics, discourse, and cultural nuance. This is why Belayfy is designed to support teachers, not replace their judgment.
References
- Li, S. (2010). The Effectiveness of Corrective Feedback in SLA: A Meta-Analysis. Language Learning, 60(2), 309–365.
- Scherer, S., Graham, S., & Busse, V. (2024). How effective is feedback for L1, L2, and FL learners’ writing? A meta-analysis. Learning and Instruction, 93, 101961.
- Liu, C., & Liang, M. (2026). The effects of AI-assisted feedback on students’ perceptions, emotions, and learning outcomes in L2 writing: a three-level meta-analysis. System, 139, 104018.
- A Systematic Review of the Role of Artificial Intelligence in Second Language Writing Education (2025). Dialogues in Second Language Learning.
- A PRISMA-based systematic review of artificial intelligence in English as a foreign and second language education (2023–2025) (2026). Discover Education.