Skip to main content

Blended Learning in Smart Learning Environments

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11805))

Abstract

It is already commonly accepted, that blended learning seems to be one of the modern and promising approaches to teaching and learning. Blended learning aims to integrate traditional learning with innovative means, such as e-learning, analytics, game-based learning, and open educational resources, in order to create a new learning environment aiming to enhance learning effectiveness, and enrich learning experience. In the meantime, as one important and applicable output of the smart environments research, the concept of smart learning environments has evolved with a number of successful applications. The aim of this paper is to argue, that blended learning concept can be viewed as a promising perspective for affective learning strategies inclusion into recently more and more popular smart learning environments.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Ducatel, K., Bogdanowicz, M., Scapolo, F., Leijten, J., Burgelman, J.C.: Scenarios for ambient intelligence 2010. Institute for Prospective Technological Studies, Seville, November 2001 (2001). ftp://ftp.cordis.lu/pub/ist/docs/istagscenarios2010.pdf

  2. Mikulecký, P.: Smart environments for smart learning. In: DIVAI 2012 (2012)

    Google Scholar 

  3. Bureš, V., Tučník, P., Mikulecký, P., Mls, K., Blecha, P.: Application of ambient intelligence in educational institutions: visions and architectures. Int. J. Ambient Comput. Intell. (IJACI) 7(1), 94–120 (2016)

    Article  Google Scholar 

  4. Kinshuk, Chen, N.S., Cheng, I.L., Chew, S.W.: Evolution is not enough: revolutionizing current learning environments to smart learning environments. Int. J. Artif. Intell. Educ. 26(2) 561–581 (2016)

    Article  Google Scholar 

  5. Koper, R.: Conditions for effective smart learning environments. Smart Learn. Environ. 1(1), 5 (2014)

    Article  Google Scholar 

  6. Hwang, G.J.: Definition, framework and research issues of smart learning environments: a context-aware ubiquitous learning perspective. Smart Learn. Environ. 1(1), 1–14 (2014)

    Article  MathSciNet  Google Scholar 

  7. Libbrecht, P., Müller, W., Rebholz, S.: Smart learner support through semi-automatic feedback. In: Chang, M., Li, Y. (eds.) Smart Learning Environments. LNET, pp. 129–157. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-44447-4_8

    Chapter  Google Scholar 

  8. Spector, J.M.: Conceptualizing the emerging field of smart learning environments. Smart Learn. Environ. 1(1), 1–10 (2014)

    Article  Google Scholar 

  9. Picard, R.W., Papert, S., Bender, W., Blumberg, B., Breazeal, C., Cavallo, D., Machover, T., Resnick, M., Roy, D., Strohecker, C.: Affective learning: a manifesto. BT Technol. J. 22(4), 253–269 (2004)

    Article  Google Scholar 

  10. Minsky, M.: The emotion machine: commonsense thinking, artificial intelligence, and the future of the human mind. Simon and Schuster (2007)

    Google Scholar 

  11. Daradoumis, T., Arguedas, M., Xhafa, F.: Current trends in emotional e-learning: new perspectives for enhancing emotional intelligence. In: 2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems, pp. 34–39. IEEE (2013)

    Google Scholar 

  12. Cabada, R.Z., Estrada, M.L.B., Hernández, F.G., Bustillos, R.O., Reyes-García, C.A.: An affective and web 3.0-based learning environment for a programming language. Telematics Inform. 35(3) 611–628 (2018)

    Article  Google Scholar 

  13. Wiggins, J.B., et al.: JavaTutor: an intelligent tutoring system that adapts to cognitive and affective states during computer programming. In: Proceedings of the 46th ACM Technical Symposium on Computer Science Education, p. 599. ACM (2015)

    Google Scholar 

  14. Mikulecky, P.: User adaptivity in smart workplaces. In: Pan, J.-S., Chen, S.-M., Nguyen, N.T. (eds.) ACIIDS 2012. LNCS (LNAI), vol. 7197, pp. 401–410. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-28490-8_42

    Chapter  Google Scholar 

  15. Mikulecký, P.: Smart learning environments - a multi-agent architecture proposal. In: DIVAI 2014, 10th International Scientific Conference on Distance Learning in Applied Informatics. Wolters Kluwer (2014)

    Google Scholar 

  16. Ma’arop, A.H., Embi, M.A.: Implementation of blended learning in higher learning institutions: a review of the literature. Int. Educ. Stud. 9(3), 41–52 (2016)

    Article  Google Scholar 

  17. Arguedas, M., Daradoumis, T., Xhafa, F.: Analyzing the effects of emotion management on time and self-management in computer-based learning. Comput. Hum. Behav. 63, 517–529 (2016)

    Article  Google Scholar 

Download references

Acknowledgment

The research has been partially supported by the Faculty of Informatics and Management UHK specific research project 2107 Computer Networks for Cloud, Distributed Computing, and Internet of Things II. Thanks goes also to Mr. Martin Kulhanek, a diploma student, for some preparatory help in writing the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peter Mikulecky .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mikulecky, P. (2019). Blended Learning in Smart Learning Environments. In: Moura Oliveira, P., Novais, P., Reis, L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science(), vol 11805. Springer, Cham. https://doi.org/10.1007/978-3-030-30244-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-30244-3_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30243-6

  • Online ISBN: 978-3-030-30244-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics