Integration of AI and Metaheuristics in Educational Software : A Hybrid Approach to Exercise Generation
  • Metaadatok
Tartalom: https://unipub.lib.uni-corvinus.hu/10268/
Archívum: Corvinus Kutatások
Gyűjtemény: Status = Published
Subject = Computer science
Subject = Education
Subject = Pedagogy
Type = Article
Cím:
Integration of AI and Metaheuristics in Educational Software : A Hybrid Approach to Exercise Generation
Létrehozó:
Láng, Blanka
Dömsödi, Balázs
Kiadó:
International Federation of Engineering Education Societies (IFEES)
Dátum:
2024
Téma:
Education
Pedagogy
Computer science
Tartalmi leírás:
This study explores the integration of generative artificial intelligence (AI) with Exercise Generation Algorithm+ (EGAL+), a multi-objective harmony search (HS) metaheuristic-based algorithm capable of composing high-quality exercises. These exercises are characterized by their diversity, consistent difficulty, and comprehensive coverage of the source material, tailored to user preferences. One of the main challenges of using metaheuristics to compile exercises efficiently is the initial creation of a large question bank, which often demands significant time and effort from instructors. To overcome this challenge, the integration of a readily available existing generative AI module is proposed. This module is accessed through its application programming interface, autonomously populating the question bank. This sets the stage for EGAL+ to fine-tune the selection and assembly of specific exams. The resulting program enables educators to create an extensive question bank from any educational material, independent of the subject, and subsequently compose exercises with minimal effort. This approach leverages the synergistic benefits of both generative AI and metaheuristic- based optimization, offering a robust and efficient solution for exercise generation.
Nyelv:
angol
angol
Típus:
Article
PeerReviewed
Formátum:
application/pdf
Azonosító:
Láng, Blanka and Dömsödi, Balázs (2024) Integration of AI and Metaheuristics in Educational Software : A Hybrid Approach to Exercise Generation. International Journal of Emerging Technologies in Learning (iJET), 19 (6). pp. 38-51. DOI 10.3991/ijet.v19i06.49829 <https://doi.org/10.3991/ijet.v19i06.49829>
Kapcsolat:
10.3991/ijet.v19i06.49829