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Mobile Blended Learning and Evaluation of Its Effectiveness on Students’ Learning Achievement

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Blended Learning: Educational Innovation for Personalized Learning (ICBL 2019)

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Abstract

This study provides a new view on blended learning. It describes successful mobile blended learning, which is based on the combination of traditional, face-to-face classes and the use of mobile app, which was exploited as support for the retention and practice of new English words and phrases at the Faculty of Informatics and Management of the University of Hradec Kralove, Czech Republic. The purpose of this article is to evaluate the effectiveness of the use of mobile app on students’ learning achievement in the university Course of Practical English Language. The methodology is based on an experiment and statistical analysis of students’ achievement results. The findings of this study confirm that the use of mobile app is effective in learning new words and phrases, which is in line with other studies on this topic. In fact, the use of app in informal settings extends and enriches student’s learning environment and enhances student’s learning potential. Future research should continue in order to obtain more subject samples. It will be also important to see if the success rate of students who use the mobile app while studying changes or remains the same over time. In addition, the authors might research students’ motivation and attitude towards the use of mobile app.

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Acknowledgments

This study is supported by the SPEV project 2104/2019, run at the Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic. The authors thank Josef Toman and Ales Berger for their help with the data collection.

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Correspondence to Blanka Klímová .

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Klímová, B., Pražák, P. (2019). Mobile Blended Learning and Evaluation of Its Effectiveness on Students’ Learning Achievement. In: Cheung, S., Lee, LK., Simonova, I., Kozel, T., Kwok, LF. (eds) Blended Learning: Educational Innovation for Personalized Learning. ICBL 2019. Lecture Notes in Computer Science(), vol 11546. Springer, Cham. https://doi.org/10.1007/978-3-030-21562-0_18

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  • DOI: https://doi.org/10.1007/978-3-030-21562-0_18

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