RT info:eu-repo/semantics/article
T1 The Use of Deep Learning in Open Learning: A Systematic Review (2019 to 2023)
A1 Estrada-Molina, Odiel
A1 Mena, Juanjo
A1 López-Padrón, Alexander
K1 open learning
K1 deep learning
K1 MOOC
K1 systematic review
K1 5801.04 Teorías Educativas
K1 5802.04 Niveles y Temas de Educación
AB No records of systematic reviews focused on deep learning in open learning have been found, although there has been some focus on other areas of machine learning. Through a systematic review, this study aimed to determine the trends, applied computational techniques, and areas of educational use of deep learning in open learning. The PRISMA protocol was used, and the Web of Science Core Collection (2019–2023) was searched. VOSviewer was used for networking and clustering, and in-depth analysis was employed to answer the research questions. Among the main results, it is worth noting that the scientific literature has focused on the following areas: (a) predicting student dropout, (b) automatic grading of short answers, and (c) recommending MOOC courses. It was concluded that pedagogical challenges have included the effective personalization of content for different learning styles and the need to address possible inherent biases in the datasets (e.g., socio-demographics, traces, competencies, learning objectives) used for training. Regarding deep learning, we observed an increase in the use of pre-trained models, the development of more efficient architectures, and the growing use of interpretability techniques. Technological challenges related to the use of large datasets, intensive computation, interpretability, knowledge transfer, ethics and bias, security, and cost of implementation were also evident.
PB Athabasca University
SN 1492-3831
YR 2024
FD 2024-08-26
LK https://uvadoc.uva.es/handle/10324/69511
UL https://uvadoc.uva.es/handle/10324/69511
LA eng
NO The International Review of Research in Open and Distributed Learning, Agosto 2024, vol. 25, n. 3. p. 370-393.
NO Producción Científica
DS UVaDOC
RD 22-dic-2024