| Title: |
Large language models in secondary informatics education : teachers’ perspectives |
| Authors: |
Busuttil, Leonard; 18th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2025 |
| Publication Year: |
2025 |
| Collection: |
University of Malta: OAR@UM / L-Università ta' Malta |
| Subject Terms: |
Natural language generation (Computer science); Artificial intelligence -- Computer programs; Artificial intelligence -- Educational applications; Education; Secondary -- Research -- Malta; Computer science -- Study and teaching (Secondary) -- Malta; ChatGPT; Generative artificial intelligence; Teachers -- Training of -- Malta |
| Description: |
This study explores secondary Informatics teachers’ perspectives on integrating large language models (LLMs) like ChatGPT into their teaching practices. Twenty-one teachers teaching informatics in secondary schools participated in workshops where they engaged with LLMs and discussed their classroom applications. Teachers identified benefits such as enhanced student engagement, personalised support, facilitation of complex explorations, and real-world preparation. However, challenges emerged, such as revising assessment methods and fostering students’ critical evaluation of AI outputs. Teachers also expressed concerns about potential overreliance on technology. Practical issues like data privacy, access limitations, and the necessity for structured training programs were also highlighted. While teachers see LLMs as valuable tools for enriching Informatics education, effective integration requires addressing assessment challenges, ensuring critical evaluation skills, and providing robust training and infrastructure. To fully realise the potential of LLMs in Informatics education, stakeholders must prioritise assessment reform, embed critical thinking instruction, and invest in comprehensive teacher training and infrastructure. ; peer-reviewed |
| Document Type: |
conference object |
| Language: |
English |
| Relation: |
https://www.um.edu.mt/library/oar/handle/123456789/138897 |
| DOI: |
10.5281/zenodo.16948572 |
| Availability: |
https://www.um.edu.mt/library/oar/handle/123456789/138897; https://doi.org/10.5281/zenodo.16948572 |
| Rights: |
info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. |
| Accession Number: |
edsbas.FA02673D |
| Database: |
BASE |