Abstract
The blended model of foreign language instruction in professional higher education has increased rapidly and amounts of research studies have proved that it can enhance the quality of learning English for Specific Purposes (ESP). However, not much has been discovered on how the blended model affects learning outcomes in higher education, of medical staff in particular. Therefore, the main objective of this pilot study is to analyze and consider students’ perception of blended model compared to the face-to-face course delivery, and their learning outcomes achievement.
The research was conducted at the Tertiary school for medical staff in Olomouc, Czech Republic, within the ESP course. Totally, the research sample included 86 first year students of various medical study programmes. Both forms of instruction, face-to-face and blended model, were implemented for 16 weeks, i.e. one semester. Data were collected via two written didactic tests. Students’ feedback on the blended learning mode was monitored by the questionnaire. They expressed higher motivation and appreciated traditional strengths, i.e. the possibility of individual pace and independence of study. They also demonstrated better learning outcomes in the test scores, despite no significant differences were discovered. However, the students with lower level of English performed slightly better in the group taught in the blended mode.
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References
Simonova, I.: Blended approach to learning and practising English grammar with technical and foreign language university students: comparative study. J. Comput. High. Educ. 31, 249–272 (2019). https://doi.org/10.1007/s12528-019-09219-w
Kostolanyova, K., Simonova, I.: Adaptive e-learning model for learning English as a second/foreign language. Int. J. Innov. Learn. 27(3), 274 (2020). https://doi.org/10.1504/IJIL.2020.106811
Shorey, S., Kowitlawakul, Y., Devi, M.K., Chen, H.C., Soong, S.K.A., Ang, E.: Blended learning pedagogy designed for communication module among undergraduate nursing students: a quasi-experimental study. Nurse Educ. Today 61, 120–126 (2018)
Halasa, S., et al.: Comparing student achievement in traditional learning with a combination of blended and flipped learning. Nurs. Open (2020). https://doi.org/10.1002/nop2.492
Malach, A.: Programované vyučování [Programmed learning], 1st edn. Akademie, Praha (1977)
Netolicka, J., Simonova, I.: SAMR model and bloom’s digital taxonomy applied in blended learning/teaching of general English and ESP. In: Proceedings of 2017 International Symposium on Educational Technology (ISET), Hong Kong, pp. 277–281 (2017). https://doi.org/10.1109/ISET.2017.68
Poon, J.: Use of blended learning to enhance the student learning experience and engagement in property education. Property Manage. 30(2), 129–156 (2012). https://doi.org/10.1108/02637471211213398/full/html
Amaral, K., Shank, J.: Enhancing Student Learning and Retention with Blended Learning Class Guides. https://er.educause.edu/articles/2010/12/enhancing-student-learning-and-retention-with-blended-learning-class-guides. Accessed 12 May 2020
Kitchenham, B., Madeyski, L., Budgen, D., Keung, J., Brereton, P., Charters, S., Gibbs, S., Pohthong, A.: Robust statistical methods for empirical software engineering. Empir. Softw. Eng. 22, 579–630 (2017). https://doi.org/10.1007/s10664-016-9437-5
Barot, T., Burgsteiner, H., Kolleritsch, W.: Comparison of discrete autocorrelation functions with regards to statistical significance. In: Advances in Intelligent Systems and Computing. Springer (2020, in Print)
Hammer, Ø., Harper, D.A.T., Ryan, P.D.: Past: paleontological statistics software package for education and data analysis. Palaeontologia Electronica 4(1), 1–9 (2001)
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The paper is supported by the SGS project N. SGS03/PdF/2019-2020 ICT-Enhanced Teaching English.
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Faltynkova, L., Simonova, I., Kostolanyova, K., Barot, T. (2021). Learners’ Preferences in ESP Instruction for Higher Medical Staff. In: Auer, M.E., Rüütmann, T. (eds) Educating Engineers for Future Industrial Revolutions. ICL 2020. Advances in Intelligent Systems and Computing, vol 1328. Springer, Cham. https://doi.org/10.1007/978-3-030-68198-2_60
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