Blended Learning Method for Improving Students' Media Literacy Level

- Krylova-Grek, Yuliya (orcid.org/0000-0002-2377-3781) and Shyshkina, M.P. (orcid.org/0000-0001-5569-2700) (2020) Blended Learning Method for Improving Students' Media Literacy Level Proceedings of the 16th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops Kharkiv, Ukraine, October 06-10, 2020, 2732. pp. 1272-1285. ISSN 1613-0073

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Abstract

The paper discusses the issues of improving students' media literacy skills to help them to navigate through an increasingly complex information society. It reports on a project aimed at applying the blended learning model to boost high school students' media literacy levels. The given model is recognized to have a number of advantages for both teachers (tutors) and learners (students). It is generally accepted that the blended learning method provides students with profound theoretical knowledge and retains the emphasis on practice. Besides, online classes offer a great opportunity to reach a wider audience. The purpose of the paper is to describe the authors' experience in introducing a new method for improving the learners' media literacy skills based on the blended learning model. The survey responses demonstrated that the accessibility, ease-of-use, and duration of the classes were deemed effective in terms of students' engagement and increases in their media literacy level. The course helped learners to develop their critical thinking and other media-related skills, to identify propaganda, manipulation, and fake messages found in media streams.

Item Type:	Article
Keywords:	Media literacy, Blended learning, Verification, Critical thinking
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques ) Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions:	Institute for Digitalisation of Education > Department of Cloud-Oriented Systems and Artificial Intelligence in Education
Depositing User:	Сергій Олексійович Семеріков
Date Deposited:	13 Oct 2021 20:10
Last Modified:	13 Oct 2021 20:10
URI:	https://lib.iitta.gov.ua/id/eprint/727257

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