The wasp-ed AI curriculum: A holistic curriculum for artificial intelligence
2023 (English)In: INTED2023 Proceedings: 17th International Technology, Education and Development Conference, 2023, p. 6496-6502Conference paper, Published paper (Refereed)
Abstract [en]
Efforts in lifelong learning and competence development in Artificial Intelligence (AI) have been on the rise for several years. These initiatives have mostly been applied to Science, Technology, Engineering and Mathematics (STEM) disciplines. Even though there has been significant development in Digital Humanities to incorporate AI methods and tools in higher education, the potential for such competences in Arts, Humanities and Social Sciences is far from being realised. Furthermore, there is an increasing awareness that the STEM disciplines need to include competences relating to AI in humanity and society. This is especially important considering the widening and deepening of the impact of AI on society at large and individuals.
The aim of the presented work is to provide a broad and inclusive AI Curriculum that covers the breadth of the topic as it is seen today, which is significantly different from only a decade ago. It is important to note that with the curriculum we mean an overview of the subject itself, rather than a particular education program. The curriculum is intended to be used as a foundation for educational activities in AI to for example harmonize terminology, compare different programs, and identify educational gaps to be filled. An important aspect of the curriculum is the ethical, legal, and societal aspects of AI and to not limit the curriculum to the STEM subjects, instead extending to a holistic, human-centred AI perspective.
The curriculum is developed as part of the national research program WASP-ED, the Wallenberg AI and transformative technologies education development program.
Place, publisher, year, edition, pages
2023. p. 6496-6502
Series
INTED proceedings, E-ISSN 2340-1079
Keywords [en]
Artificial Intelligence, Human-Centred Artificial Intelligence, Artificial Intelligence Education, Curriculum.
National Category
Computer Sciences Human Computer Interaction Computer graphics and computer vision Natural Language Processing Philosophy Peace and Conflict Studies Other Social Sciences not elsewhere specified Pedagogy
Research subject
didactics of computer science; Computer Science; human-computer interaction
Identifiers
URN: urn:nbn:se:umu:diva-206835DOI: 10.21125/inted.2023.1727ISBN: 978-84-09-49026-4 (electronic)OAI: oai:DiVA.org:umu-206835DiVA, id: diva2:1751423
Conference
INTED 2023, 17th International Technology, Education and Development Conference, Valencia, Spain, March 6-8, 2023
2023-04-182023-04-182025-02-20Bibliographically approved