Fulltext:
311350.pdf
Embargo:
until 2025-03-13
Size:
454.5Kb
Format:
PDF
Description:
Publisher’s version
Publication year
2024Publisher
Cham : Springer
ISBN
9783031723124
In
Ferreira Mello, R.; Rummel, N.; Jivet, I. (ed.), Technology enhanced learning for inclusive and equitable quality education: Proceedings of the 19th European Conference on Technology Enhanced Learning, pp. 125-130Annotation
19th European Conference on Technology Enhanced Learning, EC-TEL 2024 (Krems, Austria, September 16-20, 2024)
Publication type
Article in monograph or in proceedings
Display more detailsDisplay less details
Editor(s)
Ferreira Mello, R.
Rummel, N.
Jivet, I.
Pishtari, G.
Ruipérez Valiente, J.A.
Organization
SW OZ DCC AI
Languages used
English (eng)
Book title
Ferreira Mello, R.; Rummel, N.; Jivet, I. (ed.), Technology enhanced learning for inclusive and equitable quality education: Proceedings of the 19th European Conference on Technology Enhanced Learning
Page start
p. 125
Page end
p. 130
Subject
Cognitive artificial intelligenceAbstract
The introduction of GenAI in teaching and learning presents both challenges and opportunities and research shows initial evidence of student and teacher perspectives. However, limited work employs theoretical frameworks to understand the use of GenAI for common educational tasks such as the design and orchestration of student learning experiences. In this article, we use the third-generation of cultural-historical activity theory to explain how these educational tasks (design and orchestration) are embedded in activity systems that include common outcomes but also contradictions. The study provides cases of ten pre-service teachers who designed chatbot-based learning activities and potential dialogues of students with chatbots in different teaching subjects in high schools. Activity theory provided a comprehensive theoretical lens to elaborate elements that require attention when designing and orchestrating learning tasks that involve GenAI.
This item appears in the following Collection(s)
- Academic publications [245131]
- Electronic publications [132467]
- Faculty of Social Sciences [30338]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.