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Technological Support of Teaching in the Area of Creating a Personalized E-course of Informatics

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The Impact of the 4th Industrial Revolution on Engineering Education (ICL 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1135))

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Abstract

The paper deals with the issue of finding and assessing the effectiveness of the use of information technologies for the optimal setting of teaching procedures. One possible solution is to personalize the teaching of computer science subjects in terms of accepting constructivist approaches. An important part of this form of teaching is the involvement of procedures and activities known from eLearning support of teaching, which depend not only on the way of providing study materials but also on activities related to the verification of students’ knowledge. An important component of providing knowledge, with a view to developing learners’ cognitive and intellectual abilities, is the adaptive approach of the education system to learners. The paper is devoted to the design of a methodology for creating a personalized e-course that meets the higher attributes and requirements for personalization of teaching with the possibility of adapting to the learner in a given environment. The paper also includes a survey of the current state of perception of university students towards the use of mobile technologies in the area of learning.

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Acknowledgements

This paper was created with the financial support of the projects: 1. The project KEGA 036UKF-4/2019, Adaptation of the learning process using sensor networks and the Internet of Things; 2. Research and Innovation for the project Fake news on the Internet - identification, content analysis, emotions (code: NFP313010T527).

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Correspondence to Zoltán Balogh .

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Turčáni, M., Balogh, Z. (2020). Technological Support of Teaching in the Area of Creating a Personalized E-course of Informatics. In: Auer, M., Hortsch, H., Sethakul, P. (eds) The Impact of the 4th Industrial Revolution on Engineering Education. ICL 2019. Advances in Intelligent Systems and Computing, vol 1135. Springer, Cham. https://doi.org/10.1007/978-3-030-40271-6_5

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