Velander, Johanna, Taye, Mohammed Ahmed, Otero, Nuno ORCID: 0000-0003-2446-8727 , Milrad, Marcelo and Zijlema, Annemarie ORCID: 0000-0003-4090-0604 (2023) Reflections on methods for eliciting teachers understanding, attitudes and emotions about AI. In: Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference. MIS4TEL 2023. Lecture Notes in Networks and Systems, 764 . Springer, Cham, Switzerland, pp. 124-135. ISBN 978-3031412257; 978-3031412264 ISSN 2367-3370 (Print), 2367-3389 (Online) (doi:https://doi.org/10.1007/978-3-031-41226-4_13)

Preview

PDF (Cover of volume with abstract of conference paper) 45882_OTERO_Reflections_on_methods_for_eliciting_teachers_understanding_attitudes_and_emotions_about_AI.pdf - Cover Image Download (184kB) | Preview

Abstract

AI, and data-driven technologies in particular, have recently drawn attention to the importance of possessing an awareness and understanding of corresponding practices to engage with and participate in society i.e. to be data or AI literate. Education is an arena for promoting literacy and therefore teachers’ ability to provide teaching regarding these technologies is a prerequisite for equal participation. As policy and curricula are often nonspecific regarding digital and AI literacy, teachers require relevant scaffolding to interpret and enact curriculum changes. As such, this paper reflects on methods for eliciting teachers’ understanding and knowledge of AI to help effective scaffolding of teachers’ practices. Grounded in our ongoing empirical research we highlight challenges encountered in collecting and analysing data using different methods to understand teachers’ sense-making of AI. We find that certain methods, such as surveys, potentially fail to capture actual knowledge, understanding and attitudes towards ill-defined concepts such as AI. We conclude by discussing the potential implications of relying on data derived using certain methods and suggest alternative methods considering these limitations.

Marcelo Milrad, Nuno Otero, María Cruz Sánchez‑Gómez, Juan José Mena, Dalila Durães, Filippo Sciarrone, Claudio Alvarez-Gómez, Manuel Rodrigues, Pierpaolo Vittorini, Rosella Gennari, Tania Di Mascio, Marco Temperini, Fernando De la Prieta

Item Type:	Conference Proceedings
Title of Proceedings:	Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference. MIS4TEL 2023
Uncontrolled Keywords:	AI literacy; digital literacy; teacher education; research methods; teachers attitudes and perceptions
Subjects:	L Education > L Education (General) Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	15 Feb 2024 09:30
URI:	http://gala.gre.ac.uk/id/eprint/45882

Actions (login required)

View Item

Downloads