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Learning English Through the Adaptive Model of e-Learning Reflecting Learner’s Sensory Characteristics

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Blended Learning. Enhancing Learning Success (ICBL 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10949))

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Abstract

The main objective of the article is (1) to introduce the adaptive model of e-learning, which was designed by the University of Ostrava, Czech Republic, and (2) to present and discuss results of two researches conducted within the model and focusing on self-study activities reflecting learners’ sensory preferences in learning English. In both researches, data were collected by standardized English grammar tests, by VARK questionnaire and non-standardized pre-tests and post-tests. Four hypotheses were tested; two of them focusing on the role of learner’s sensory preferences, other two ones examining the support of visual and aural study materials in listening comprehension and reading comprehension. Results were not statistically significant; however, slight impact of visual materials in reading comprehension and aural materials in reading comprehension was detected.

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Author information

Authors and Affiliations

  1. University of Ostrava, Ostrava, Czech Republic

    Katerina Kostolanyova

  2. University of Jan Evangelista Purkyne, Usti nad Labem, Czech Republic

    Ivana Simonova

Authors
  1. Katerina Kostolanyova
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  2. Ivana Simonova
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Corresponding author

Correspondence to Katerina Kostolanyova .

Editor information

Editors and Affiliations

  1. The Open University of Hong Kong, Hong Kong, China

    Simon K.S. Cheung

  2. City University of Hong Kong, Hong Kong, China

    Lam-for Kwok

  3. Kansai University, Osaka, Japan

    Kenichi Kubota

  4. The Open University of Hong Kong, Hong Kong, Hong Kong

    Lap-Kei Lee

  5. Kwansei Gakuin University, Osaka, Japan

    Jumpei Tokito

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Kostolanyova, K., Simonova, I. (2018). Learning English Through the Adaptive Model of e-Learning Reflecting Learner’s Sensory Characteristics. In: Cheung, S., Kwok, Lf., Kubota, K., Lee, LK., Tokito, J. (eds) Blended Learning. Enhancing Learning Success. ICBL 2018. Lecture Notes in Computer Science(), vol 10949. Springer, Cham. https://doi.org/10.1007/978-3-319-94505-7_4

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  • DOI: https://doi.org/10.1007/978-3-319-94505-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94504-0

  • Online ISBN: 978-3-319-94505-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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