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Deployment of Cognitive and Affective Determinants in Blended Learning - Case Study

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Blended Learning. New Challenges and Innovative Practices (ICBL 2017)

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Abstract

The paper discusses psycho-didactic framework which is applied to stimulate language development and test language competence in students of bachelor study programmes within Blended learning concept. Cognitive and affective determinants are unique to each student. When this perspective is simplified to the core it is possible to state that each student has his/her learning prerequisites like knowledge and has his/her attitudes, interests and self-esteem. In this presented research we tried to demonstrate the concept of determinants with real participants on the real teaching-learning stage. The goal is to maternize theory and visualize how theory aligns with practice.

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Acknowledgment

The paper was supported by project of Students Grant Agency – FIM, University of Hradec Kralove, Czech Republic (under ID: UHK-FIM-SP-2017). Authors express thanks to Jan Freiberg for help with collection of data.

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Authors and Affiliations

  1. Department of Applied Lingusistics, Faculty of Informatics and Management, The University of Hradec Králové, Rokitanského 62, 500 03, Hradec Králové, Czech Republic

    Miloslava Černá

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  1. Miloslava Černá
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Correspondence to Miloslava Černá .

Editor information

Editors and Affiliations

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

    Simon K.S. Cheung

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

    Lam-for Kwok

  3. Hong Kong Shue Yan University , Hong Kong, Hong Kong

    Will W.K. Ma

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

    Lap-Kei Lee

  5. State University of New York at Oswego , Oswego, New York, USA

    Harrison Yang

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Černá, M. (2017). Deployment of Cognitive and Affective Determinants in Blended Learning - Case Study. In: Cheung, S., Kwok, Lf., Ma, W., Lee, LK., Yang, H. (eds) Blended Learning. New Challenges and Innovative Practices. ICBL 2017. Lecture Notes in Computer Science(), vol 10309. Springer, Cham. https://doi.org/10.1007/978-3-319-59360-9_41

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  • DOI: https://doi.org/10.1007/978-3-319-59360-9_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59359-3

  • Online ISBN: 978-3-319-59360-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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