AI for Language Learning: a Case Study with Duolingo-Inspired Dataset

EasyChair Preprint 15625

Abstract

This research explores the potential of applying artificial intelligence (AI) in the field of language learning using a Duolingo-inspired dataset. The study analyzes collected data to develop and evaluate AI-based tools that enhance user engagement and learning outcomes. Key findings indicate that AI models, particularly in adaptive learning and personalized feedback, exhibit significant potential in advancing educational technologies.

Keyphrases: AI-based feedback, Artificial Intelligence (AI), Duolingo-inspired Dataset, Machine Learning in Education, Personalized Education, adaptive learning, educational technology, language learning, learning analytics

@booklet{EasyChair:15625,
  author    = {Erbol Bolushov and Gulnaz Gimaletdinova},
  title     = {AI for Language Learning: a Case Study with Duolingo-Inspired Dataset},
  howpublished = {EasyChair Preprint 15625},
  year      = {EasyChair, 2024}}