Universal Journal of Educational Research Vol. 8(4), pp. 1466 - 1474
DOI: 10.13189/ujer.2020.080440
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Mobile Assisted Learning for Self-Directed Learning Development at Technical University: SWOT Analysis

Nataliia Saienko ¹, Yuliana Lavrysh ^2,*
1 Faculty of Linguistics, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic University”, Ukraine
² Department of English for Engineering, Faculty of Linguistics, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic University”, Ukraine

ABSTRACT

The aim of the paper is to identify strengths, weaknesses, opportunities, and threats (SWOT) of self-directed learning (SDL) supported by mobile-assisted technologies integrated into English for Specific Purposes course at university. Teachers cannot prepare students for all challenges of the modern world; therefore, students need skills of self-education to keep updated. SDL skills are crucial for today's learners but, as they include such features as ownership for learning, self-managing, self-reflection and extension of learning, SDL skills should be explained and trained by teachers-facilitators. The goal of our study was to carry out a SWOT analysis of the technology-enhanced SDL process from teachers' and students' points of view. This kind of analysis will allow identifying common and different issues that participants of the study encounter in the process of SDL. Therefore, we carried out a qualitative study with questionnaires to perform a SWOT analysis and to identify problematic issues. Comparing the results, we found out that students and teachers identified mostly the same strengths and opportunities, whereas weaknesses and threats were different and required immediate meaningful solutions. Regarding educational technologies' impact, we observed that their integration also caused challenges for teachers to cope with. This study evidenced that technologies are a powerful tool to develop SDL skills and we developed some practical recommendations on how to avoid threats and eliminate weaknesses of SDL skills formation assisted by technologies. We also suggest some mobile-assisted technologies for the enhancement of SDL skills.

KEYWORDS
Self-Directed Learning, Educational Technologies, Self-Reflection, SWOT Analysis, Information Assessment

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Nataliia Saienko , Yuliana Lavrysh , "Mobile Assisted Learning for Self-Directed Learning Development at Technical University: SWOT Analysis," Universal Journal of Educational Research, Vol. 8, No. 4, pp. 1466 - 1474, 2020. DOI: 10.13189/ujer.2020.080440.

(b). APA Format:
Nataliia Saienko , Yuliana Lavrysh (2020). Mobile Assisted Learning for Self-Directed Learning Development at Technical University: SWOT Analysis. Universal Journal of Educational Research, 8(4), 1466 - 1474. DOI: 10.13189/ujer.2020.080440.