Impact of Convergence of Smart-Technology as Compared to Traditional Methodological Tools on Fostering Cognitive Aspects of Leadership Competencies in the Process of Vocational Training of Students

Authors

  • Oksana H. Oleksiyenko Department of Pedagogy, Faculty of Humanities, Psychology and Pedagogy, Volodymyr Dahl East Ukrainian National University, 59-а, pr. Central, Severodonetsk, 93400, Ukraine
  • Oksana M. Martsyniak-Dorosh The Department of Psychology, Lviv Office Interregional Academy of Personnel Management, 29, Mazepa str., Lviv, 79059, Ukraine
  • Sergii V. Mishyn Department of Physical Education and Health Physical Culture, Faculty of Physical Education, Volodymyr Vynnychenko Central Ukrainian State Pedagogical University, 1, Shevchenka str., Kropyvnytskyi, 25006, Ukraine
  • Oleksander M. Buryanovatiy Department of Physical Education and Health Physical Culture, Faculty of Physical Education, Volodymyr Vynnychenko Central Ukrainian State Pedagogical University, 1, Shevchenka str., Kropyvnytskyi, 25006, Ukraine
  • Borys A. Yakymchuk Department of Psychology, Social and Psychological Education Faculty, Pavlo Tychyna Uman State Pedagogical University, 2 Sadova str., Uman, 20300, Ukraine

DOI:

https://doi.org/10.6000/2292-2598.2019.07.01.1

Keywords:

Cognitive skills of leadership, smart technology, traditional mode of education, vocational training, tertiary institution.

Abstract

The main objective of this research is to explore how effective and efficient the convergent use of traditional and smart technology tools could be when deployed in fostering leadership competencies of the students in the settings of tertiary vocational education. The experiment involved the students of two universities doing the elective course “Do Better Your Leadership Skills Up”. Having been split up into two halves, the first part of the focus group used the traditional forms of educational process, while the second one additionally used the software like CogniFit, Lumosity, BrainHQ, NeuroNation, Brain Metrix, Eidetic, Fit Brains, BrainExer 2.0. At the entry stage, the pedagogic surveys had been used as well as the cognitive function test to study the cognitive capabilities of the focus group students. We used a multi method approach of combining the close-ended and open-ended questions to get the feedback and the above cognitive test to measure the output of the study. Quantitative methods had been used to analyze the data and such Covariance-based Structural Equation Modeling (SEM) software as SPSS AMOS had been applied to evaluate the results because cognitive function of a person includes sub-components of latent constructs. Textalyzer software had been used to process the students’ responses to open-ended questions of the questionnaire for the most commonly used positive words in the texts, which helped us to identify broad categories of responses. Here, the most commonly used words we had distinguished were “involvement”, “improvement”, “gamification”, “motivation”, “speed”, “concentration”, “memory”, “current studies”, “future job”. Then we distributed the answers by the frequency of the identified words. The responses, which fell under no category, had been analyzed manually. The experimentally obtained data shows that integration of the smart technology into traditional learning environment increases students’ involvement by 23%, personal transformation by 18% and motivation by 17%. Our study proves that the convergent mode of instruction brings more benefits to the students in terms of fostering cognitive aspects of leadership competencies in the process of vocational training than the traditional mode. We found that the converged pedagogical mode enhances the collaboration and involvement of all the stakeholders of educational process. It makes students achieve the greatest personal satisfaction through enhanced self-esteem, efficiency gains, a sense of continuous personal achievement and enhanced autonomy and experimenting with their own learning strategies. We suggest universities (of Ukraine, specifically) to provide training to the teachers with all the latest technology, which seems essential for teaching. Academic institutions (of Ukraine) should also invest into research in the area of the educational-purpose use of smart technology.

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Published

2019-05-07

How to Cite

Oleksiyenko, O. H., Martsyniak-Dorosh, O. M., Mishyn, S. V., Buryanovatiy, O. M., & Yakymchuk, B. A. (2019). Impact of Convergence of Smart-Technology as Compared to Traditional Methodological Tools on Fostering Cognitive Aspects of Leadership Competencies in the Process of Vocational Training of Students. Journal of Intellectual Disability - Diagnosis and Treatment, 7(1), 1–8. https://doi.org/10.6000/2292-2598.2019.07.01.1

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General Articles