Integrating Generative Artificial Intelligence Tools to Develop Digital Competences in Secondary Schools

Liron Levy-Nadav, Tamar Shamir-Inbal, Ina Blau

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Artificial intelligence (AI) technologies can promote significant changes in various areas of society, and in particular, in the field of education. The purpose of this study is to examine the digital competences students need to develop in order to use generative artificial intelligence (GenAI) tools for learning purposes. We conducted 34 semi-structured interviews with 17 secondary school teachers in an interval of half a year, and triangulated these self-report data with an analysis of actual learning activities. During the interviews, the participants reported the digital competences their students develop using GenAI tools, and the skills they should practice. The digital competences were analyzed based on the Digital Competence Framework for Citizens 2.2 (DigComp 2.2) [8] that includes five main areas: Information and data literacy; Communication and collaboration; Digital content creation; Safety; and Problem solving. Despite DigComp 2.2's comprehensiveness, its pre-GenAI era foundation necessitates updates to fully address competences needed for GenAI use. The study findings indicate that the utilization of GenAI tools requires proficiency in all DigComp 2.2 domains. Importantly, employing GenAI tools calls for the expansion regarding the ability to analyze the pros and cons of AI tools, and the user's ability to choose GenAI tools that are appropriate for a given task. The findings suggest refining the framework's explanation regarding prompt-writing skills and adding the skill of managing ongoing dialogue with GenAI tools. Expanding the DigComp 2.2 framework would offer a better reflection on the current integration of GenAI tools in education.

Original languageEnglish
Title of host publicationTechnology Enhanced Learning for Inclusive and Equitable Quality Education - 19th European Conference on Technology Enhanced Learning, EC-TEL 2024, Proceedings
EditorsRafael Ferreira Mello, Nikol Rummel, Ioana Jivet, Gerti Pishtari, José A. Ruipérez Valiente
PublisherSpringer Science and Business Media Deutschland GmbH
Pages113-118
Number of pages6
ISBN (Print)9783031723117
DOIs
StatePublished - 2024
Event19th European Conference on Technology Enhanced Learning, EC-TEL 2024 - Krems, Austria
Duration: 16 Sep 202420 Sep 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15160 LNCS

Conference

Conference19th European Conference on Technology Enhanced Learning, EC-TEL 2024
Country/TerritoryAustria
CityKrems
Period16/09/2420/09/24

Keywords

  • Digital Competence Framework for Citizens - DigComp 2.2
  • Generative artificial intelligence - GenAI
  • Secondary schools
  • Students
  • Teachers

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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