Effectiveness and Stakeholders’ Perceptions of the Integration of Automated E-Learning Courses into Vocational Education Programmes in Universities in Ukraine
Abstract
The purpose of this research was to identify whether the integration of the automated vocational e-courses into vocational education could bring the students to the same academic achievements as the tutor-moderated ones, and whether the stakeholders of education perceive the automation of e-learning positively or negatively, and what impact factors triggered their perceptions. The baseline study used the e-course evaluation checklist to assess the e-course structure and content from eight randomly selected universities. Four hundred and four students and thirty-one instructors participated in the baseline study, first pilot, and core experiment. The instruments utilised to monitor the variables in the pilots were as follows: the sampled students’ academic records, a Criteria Cognitive Aptitude Test, a Rasch Measurement Model, and the Kolb’s Learning Style Questionnaire. The IBM SPSS Statistics 5.0.0.1. Software package was used to process the data drawn for the above measurements. The above measurements were followed by the focus group and nine education stakeholders’ perceptions analyses using the Triangle Assessment Method. The study provided new evidence that automated e-course delivery can lead to approximately the same statistically significant improvements in the students’ vocational competence, academic motivation, and learning styles proving that it might be considered to be a feasible instructional tool. Additionally, it suggested that the use of automated educational e-course assisted by a virtual agent had been a more cost-efficient option.
https://doi.org/10.26803/ijlter.19.5.3
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Alimisis, D. (2020). Emerging pedagogies in robotics education: towards a paradigm shift. In: J. Pons (Ed.) Inclusive Robotics for a Better Society. INBOTS 2018. Biosystems & Biorobotics, 25. Springer, Cham. https://doi.org/10.1007/978-3-030-24074-5_22
Balali, F., Ahmadi Tabatabaei, S. V., & Hassani, A. H. (2018). Effect of Information and Communication Technology on Self-Efficacy and Academic Achievement of Students. Health Education and Health Promotion, 6(3). https://doi.org/10.29252/hehp.6.3.97
Basri, W. S., Alandejani, J. A., & Almadani, F. M. (2018). ICT Adoption Impact on Students’ Academic Performance: Evidence from Saudi Universities. Education Research International, 1-9. https://doi.org/10.1155/2018/1240197
Bobrytska, V. I. (2015). Educational policy of Ukraine in the field of informatisation of education, Educational Policy: Philosophy, Theory, Practice [monograph], Ed.: V. P. Andrushchenko, B. I. Andrusyshyn, V. I. Bobritskaya, R. M. Vernydub et al. National Pedagogic Drahomanov University, 273-316.
Bobrytska, V. I. (2011). The use of ICT in higher teacher vocational education. Education in Pedagogics: Theory and Practice. Pedagogy. Psychology, 16(2), 35-39.
Bobrytska, V. I., & Protska, S. M. (2017). Formation of professional competencies of future language teachers by means of computer-oriented technologies. Information technology and training, 2(58), 59–66.
Bobrytska, V. I., & Protska, S. M. (2018). Formation of professional competencies of the future teachers by means of a computer-based methodology: investigational approach. Information technology and training, 5(67), 121–133.
Bobrytska, V. I. (2017). Training of Master's degree seekers in Education in Ukraine: Current Challenges, Problems, Findings. Bulletin of the National Aviation University. Series: Pedagogy. Psychology, 1 (10), 20-23, Publishing house for KNAU: “Nau-printâ€.
Burger, B. (2015). Course Delivery Methods for Effective Distance Science Education: A Case Study of Taking an Introductory Geology Class Online. In A. Blackstock & N. Straight (Eds) Interdisciplinary Approaches to Distance Teaching: Connecting Classrooms in Theory and Practice (1st Edition), New York, USA: Routledge. https://doi.org/10.4324/9781315694412
Cernak, M., Asaei, A., & Hyafil, A. (2018). Cognitive speech coding: examining the impact of cognitive speech processing on speech compression. IEEE Signal Processing Magazine, 35(3), 97–109. https://doi.org/10.1109/MSP.2017.2761895
Chivu, R.-G., Turlacu, L.-M., Stoica, I., & Radu, A.-V. (2018). Identifying the effectiveness of e-learning platforms among students using Eye-Tracking technology. Proceedings for the International Conference on Higher Education Advances (HEAd’18), 621-628. http://dx.doi.org/10.4995/HEAd18.2018.8046
Chkhalo, O. M. (n.d.). Analytical Chemistry: an electronic training course. NEURON Scientific and Educational Information System at Bogomolets National Medical University.
Criteria Cognitive Aptitude Test (CCAT). (n.d.). Criteria Pre-employment: Testing. Retrieved from https://www.criteriacorp.com/resources/ccat_prep.php
Cunningham, I. (2019). A new educational paradigm for the 21st century. Development and Learning in Organizations: An International Journal, 34(2). https://doi.org/10.1108/DLO-10-2019-0253
Delić, V., Perić, Z., SeÄujski, M., Jakovljević, N., Nikolić, J., MiÅ¡ković, D., Simić, N., Suzić, S., & Delić, T. (2019). Speech Technology Progress Based on New Machine Learning Paradigm. Computational intelligence and neuroscience, 4368036. https://doi.org/10.1155/2019/4368036
Diachenko, A. V., Morgunov, B. P., Melnyk, T. P., Kravchenko, O. I., & Zubchenko, L. V. (2019). The Use of Innovative pedagogical technologies for the automation of the specialists’ professional training. International Journal of Higher Education, 8(6), 288-295. https://doi.org/10.5430/ijhe.v8n6p288
Dovbenko, S., Naida, R. G., Beschastnyy, V. M., Bezverkhnia, H. V., & Tsybulska, V. V. (2020). Problem of Resistance to the Introduction of Distance Learning Models of Training in the Vocational Training of Educators. International Journal of Learning, Teaching, and Educational Research, 19(2), 1-12. https://doi.org/10.26803/ijlter.19.2.1
CommLab India. (2020). E-learning trends for 2020 [e-book]. Retrieved from https://resources.commlabindia.com/hubfs/elearning-components/ebook/elearning-trends-2020-commlab-india.pdf
Garrett, M. (2017). Learning and educational applications of chatbot technologies. Cinglevue [Blog post]. Retrieved from https://www.cinglevue.com/learning-educational-applications-chatbot-technologies/
Fadhil, A., & Villafiorita, A. (2017). An adaptive learning with gamification & conversational UIs: The rise of CiboPoliBot. In Adjunct Publication of the 25th Conference on User Modelling, Adaptation and Personalisation (pp. 408-412). ACM.
Farkash, Z. (2018). Higher Education Chatbot: Chatbots Are the Future of Higher Education [Blog post]. Chatbots Life. Retrieved from https://chatbotslife.com/higher-education-chatbot-chatbots-are-the-future-of-higher-education-51f151e93b02
Hajare, A., Bhosale, P., Nanaware, R., & Hiremath, G. (2018). Chatbot for Education System. International Journal of Computer Science, 3(2), 52-57.
Holotescu, C. (2016). MOOCBuddy: a Chatbot for personalised learning with MOOCs. In A. Iftene & J Vanderdonckt (Eds.) RoCHI–International Conference on Human-Computer Interaction (Vol. 91, pp. 91-94). Bucharest, Romania: Matrix Rom.
Ishii, K., & Tamaki, K. (2009). Automation in Education/Learning Systems. In: S. Y. Nof (Ed.) Springer Handbook of Automation. Springer Handbooks. Springer, Berlin: Heidelberg. https://doi.org/10.1007/978-3-540-78831-7_85
Iskander, M., Kapila, V., & Karim, M. A. (Eds.) (2010). Technological Developments in Education and Automation. Springer Science & Business Media. https://doi.org/10.1007/978-90-481-3656-8
Katambur, D. (2019). E-Learning automation to supercharge your learning experience [Blog post]. CommLab India. E-Learning Trends. Retrieved from https://blog.commlabindia.com/elearning-development/elearning-automation-overview
Kennepohl, D. (2018). Teaching Science at a Distance. In M. G. Moore & W. C. Diehl (Eds.) Handbook of Distance Education (4th Edition). New York, USA: Routledge. https://doi.org/10.4324/9781315296135
Kolb’s Learning Style Questionnaire (LSQ) (2005-2006). Adapted and designed by A. Chapman. Retrieved from http://www.bunbury.wa.gov.au/pdf/environment/u472/Appendix%2019%20U472%20Community%20Facilitator%20Kolb%20Questionnaire%20Final.pdf
Kolb, A. Y., & Kolb, D. A. (2013). The Kolb learning style inventory ‒ Version 4.0: A Comprehensive Guide to the Theory, Psychometrics, Research on Validity and Educational Applications. Experience Based Learning Systems, Inc. Retrieved from https://www.researchgate.net/publication/303446688_The_Kolb_Learning_Style_Inventory_40_Guide_to_Theory_Psychometrics_Research_Applications
Krueger, R. A., & Casey, M. A. (2015). Focus Group: A Practical Guide for Applied Research. 5th Edition. Sage Publishing.
Latchem, C. (2017). Using ICTs and blended learning in transforming technical and vocational education and training. UNESCO and Commonwealth of Learning, 231. Retrieved from https://unesdoc.unesco.org/ark:/48223/pf0000247495
Laurillard, D. (2013). Rethinking University Teaching (2nd edition). London: Routledge, https://doi.org/10.4324/9781315012940
Mirrlees, T., & Alvi, S. (2020). Automating Higher Education: Taylorism and the Teaching Machines. In Mirrlees, T., Alvi, S. EdTech Inc: Selling, Automating and Globalising Higher Education in the Digital Age. New York: Routledge, https://doi.org/10.4324/9780429343940
Moller, L., Robison, D., & Huett, J. B. (2012). Unconstrained Learning: Principles for the Next Generation of Distance Education. In: Moller L., Huett J. (eds) The Next Generation of Distance Education. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-1785-9_1
Morales-Menendez, R., RamÃrez-Mendoza, R. A., & Guevara, A. Jr. V. (2020). Virtual/Remote Labs for Automation Teaching: A Cost-Effective Approach. IFAC-PapersOnLine, 52(9), 266-271. https://doi.org/10.1016/j.ifacol.2019.08.219
Njiru, J. N. (2003). Measuring academic motivation to achieve for high school students using a Rasch measurement model. Retrieved from https://ro.ecu.edu.au/theses/1320/
Online course checklist (n.d). Federation University. Australia. Retrieved from https://federation.edu.au/__data/assets/pdf_file/0011/239888/FedUni_Online_Learning_Course_Checklist.pdf
Online Course Design Checklist (n.d). Winthrop University. The United States of America. Retrieved from https://www.winthrop.edu/uploadedFiles/onlinelearning/OnlineCourseDesignChecklistrev061616.pdf
Pérez-RodrÃguez, F., & Rojo-Alboreca, A. (2017). The Triangle Assessment Method: A New Procedure for Eliciting Expert Judgement. Expert Systems with Applications, 72, 139-150. https://doi.org/10.1016/j.eswa.2016.11.021
Popenici, S., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1). https://doi.org/10.1186/s41039-017-0062-8
Reva, T. D. (2017). Competency-based approach in teaching Chemistry to the future pharmacists: Theoretical and methodological framework [monograph]. Ed. supervisor: I. V. Nizhenkovskaya, Kyiv, Ukraine: Edelweiss Publishing Company.
Saxena, N. (2017). The role and impact of ICT in improving the quality of education: an overview. International journal of engineering sciences & research technology, 6(3), 501-503. https://doi.org/10.5281/zenodo.439205
Scandura, J. M. (2010). The Role of Automation in Instruction. Polibits, 42, 21-42.
Scandura, J. M. (2016). AuthorIT & TutorIT: An intelligent tutor authoring & delivery system you can use. Technology, Instruction, Cognition & Learning, 10(3), 173-202.
Shawa, B. A. (2018). Integrating CALL Systems with Chatbots as Conversational Partners. Computación y Sistemas, 21(4). https://doi.org/10.13053/cys-21-4-2868
Smutny, P., & Schreiberova, P. (2020). Chatbots for learning: A review of educational chatbots for Facebook Messenger. Computers & Education, 151. https://doi.org/10.1016/j.compedu.2020.103862
Standards and Guidelines for Quality Assurance in the European Higher Education Area (ESG). (2015). Brussels, Belgium. Retrieved from https://enqa.eu/wp-content/uploads/2015/11/ESG_2015.pdf
Tsymbaliuk, S., Shkoda, T., & Artiushyna, M. (2019). Assessing and improving vocational teachers’ education and training in Ukraine. Advanced Education, 13, 70-80. https://doi.org/10.20535/2410-8286.153575
Wasfy, H. M., Wasfy, T. M., Mahfouz, R. M., & Peters, J. (2013). The Education Sector Revolution: The Automation of Education. In Proceedings of the 120th ASEE Annual Conference & Exposition. American Society for Engineering Education, Retrieved from https://www.asee.org/public/conferences/20/papers/8044/download
Zhu, Z., Yu, M., & Riezebos, P. (2016). A research framework of smart education. Smart Learn. Environ, 3(4). https://doi.org/10.1186/s40561-016-0026-2
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