Intelligent Simulations in Language Learning: Cover Image

Intelligens szimulációk a nyelvtanulásban:
Intelligent Simulations in Language Learning:

The Efficacy of AI-Driven Pedagogy

Author(s): Tamás Fekete, Ádám Porkoláb
Subject(s): Social Sciences, Education, School education
Published by: Pedagogická fakulta Univerzity J. Selyeho
Keywords: intelligent simulations; AI-driven pedagogy; language learning; adaptive learning; personalized feedback

Summary/Abstract: This study examines the efficacy of AI-driven pedagogy in the context of intelligent simulations for language learning. Intelligent simulations, facilitated through artificial intelligence (AI), provide interactive and personalized learning environments where beginner learners can practice language skills and receive personalized feedback. The integration of AI algorithms enables adaptive learning that caters to beginner learners’ needs. This paper evaluates the relevant literature, provides case studies, and discusses the advantages and challenges related to AI-driven pedagogy. Furthermore, it explores intelligent simulations in language learning, assesses the effect of AI-driven pedagogy on motivation and learning, provides suggestions for teachers, and outlines directions for further study. The findings highlight the potential of intelligent simulations and AI-driven pedagogy to enhance the efficiency of language learning and offers insights for educators and researchers in the subject of language schooling.

  • Issue Year: 18/2023
  • Issue No: 4
  • Page Range: 003-017
  • Page Count: 15
  • Language: Hungarian