The why, what and how of deep learning : critical analysis and additional concerns
Journal article, Peer reviewed
Published version
![Thumbnail](/uia-xmlui/bitstream/handle/11250/3126762/Article.pdf.jpg?sequence=7&isAllowed=y)
View/ Open
Date
2023Metadata
Show full item recordCollections
Original version
Kovac, V. B., Nome, D. Ø., Jensen, A. R. & Skreland, L. L. (2023). The why, what and how of deep learning : critical analysis and additional concerns. Education Inquiry. https://doi.org/10.1080/20004508.2023.2194502Abstract
The concept of deep learning has become a popular and well recognised term in contemporary educational literature and inter-national political documents. Deep learning typically induces posi-tive connotations and represents the learning strategy that educational institutions should adopt in order to assure a sustainable future in modern societies. However, a major chal-lenge with deep learning is the fact that the concept is used in many different scientific fields with a variety of definitions, under-standings and applications. Thus, there is an imbalance between the quantity of governing documents in education that endorse the use of deep learning as a main learning strategy and the amount of academic theory and research examining its defini-tional clarity and related unresolved questions. The aim of the present theoretical analysis is threefold. First, we examine the concept of deep learning in light of the three fundamental ques-tions “why”, “what”, and “how” and make assessments concerning its status in contemporary literature. Second, we discuss the com-patibility between the idea of deep learning and the concepts of educational inclusion and adapted instruction. Finally, we make several recommendations for future development and application of the term deep learning in educational contexts.