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A Blended Learning Model: Results of Young Learners

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Blended Learning: Engaging Students in the New Normal Era (ICBL 2022)

Abstract

The paper presents results of research that examined the learning of young learners within the blended learning model. The model included face-to-face lessons and homework done online distance. In total, 123 learners from the Slovak Republic (aged 10–12) participated in the research. In homework, the learners practised and fixed the learning content that was explained in face-to-face lessons. They worked either with printed materials or used an e-application. Two tools were exploited within the research: (1) didactic tests, that is, pretest that detected learners entrance knowledge, and posttest, that monitored their final knowledge; (2) a semi-structured interview in the focus group that proportionally included 16 learners. Five hypotheses were set to discover whether the learners achieved the expected learning objectives and outcomes. The results discovered that within the blended learning model learners achieved the required knowledge, irrespective they worked with printed materials or with e-application. Moreover, all test results were in favour of the e-app. Furthermore, in the semi-structured interview in the focus group, the learners reflected their experience with the blended learning model in four areas: hardware and software equipment, digital skills, autonomy in learning, and home environment. The results aspire to be applied in blended learning in the new normal era of post-pandemic education.

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Acknowledgement

The paper is supported by the project N. SGS15/PDF/22 Integration of mobile technologies in the process of communication competency development in primary schools.

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Correspondence to Ivana Simonova .

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Simonova, I., Bekesova, J., Kostolanyova, K. (2022). A Blended Learning Model: Results of Young Learners. In: Li, R.C., Cheung, S.K.S., Ng, P.H.F., Wong, LP., Wang, F.L. (eds) Blended Learning: Engaging Students in the New Normal Era. ICBL 2022. Lecture Notes in Computer Science, vol 13357. Springer, Cham. https://doi.org/10.1007/978-3-031-08939-8_19

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  • DOI: https://doi.org/10.1007/978-3-031-08939-8_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08938-1

  • Online ISBN: 978-3-031-08939-8

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