DIGITAL LIBRARY
ADAPTIVE E-LEARNING AND ADAPTIVE ALGORITHMS FROM THE PERSPECTIVE OF M-LEARNING
Ostravská univerzita, Pedagogická fakulta, Katedra informačních a komunikačních technologií (CZECH REPUBLIC)
About this paper:
Appears in: EDULEARN22 Proceedings
Publication year: 2022
Pages: 5068-5072
ISBN: 978-84-09-42484-9
ISSN: 2340-1117
doi: 10.21125/edulearn.2022.1209
Conference name: 14th International Conference on Education and New Learning Technologies
Dates: 4-6 July, 2022
Location: Palma, Spain
Abstract:
Adaptive e-learning is one of the proven directions of ICT use in education. The wide availability of ICT tools makes the use of adaptive learning more accessible than before. Adaptivity can be ensured both in terms of adapting to the learning style of the learner, specifically in presenting learning materials that are more suitable for their personal profile. However, this type of adaptivity places greater demands on the teacher's preparation of the whole curriculum. In some cases, however, it is already possible to make use of the functions of mobile devices and, for example, to read classical text materials automatically. Another direction where the insights of adaptive e-learning are applied is the fixation of learning through practice. This is particularly useful in areas where the learner needs to fix fixed diagrams or obtain factual data. In these cases, the choice of a mobile device is particularly appropriate due to the personal nature of the device. Currently, adaptive algorithms can be found in many commercially available products, some of which are specifically targeted for use on mobile devices. It is these devices that ensure the rapid penetration of adaptive e-learning into mainstream practice. This paper analyses currently available products from the perspective of adaptive algorithms and mobile technologies.
Keywords:
Adaptive e-learning, m-learning, adaptivity, education.