Towards a Hybrid World - The Fuzzy Quality of Collaboration/Interaction (FuzzyQoC/I) Hybrid Model in the Semantic Web 3.0

Sofia B. Dias, Sofia J. Hadjileontiadou, José A. Diniz, Leontios J. Hadjileontiaids

2015

Abstract

As a decision support tool, a hybrid modelling can offer the ability to better understand the dynamics of a particular ecosystem. This paper proposes a hybrid approach that may serve as a means to synthesize/represent knowledge obtained from the data, in order to explore online learning environment (OLE) states, based on different scenarios. The potentiality of the quality of collaboration (QoC) within an Internet-based computer-supported collaborative learning environment and the quality of interaction (QoI) with a learning management system (LMS), both involving fuzzy logic-based modeling, as vehicles to improve the personalization and intelligence of an OLE is explored. In this approach, a novel framework could be established, when bridging the fields of blended- and collaborative-learning into an enhanced educational environment. The combined measures (i.e., QoC, QoI) can form the basis for a more realistic approach of OLEs within the concept of semantic Web and the associated Web 3.0 features, as they effectively capture the behaviour of the stakeholders involved in the context of Higher Education. Finally, a potential case study of the examined hybrid modelling (FuzzyQoC/I), referring to the “i-Treasures” European FP7 Programme, is discussed, to explore its functionality/applicability under pragmatic learning scenarios, serving as a proof of concept.

References

  1. Bates, T., 2005. Technology, e-learning and distance education. London, Routledge.
  2. Coffield, F., Moseley, D., Hall, E., & Ecclestone, K., 2004. Learning styles and pedagogy in post-16 learning: a systematic and critical review. London, UK, Learning and Skills Research Centre/University of Newcastle.
  3. Connolly, D., van Harmelen, F., Horrocks, I., McGuinness, D. L., Patel-Schneider, P. F., & Stein, L. A., 2001. DAML+OIL (March 2001) Reference Description. W3C Note 18 December 2001.
  4. Davis, E., 1990. Representations of Commonsense Knowledge. San Mateo, CA, Morgan Kaufmann.
  5. De Souza e Silva, A., 2006. From Cyber to Hybrid Mobile Technologies as Interfaces of Hybrid Spaces. Space and culture, 9(3), 261-278.
  6. Dias, S. B., 2014. Towards an intelligent online learning environment. A systemic approach. Saarbrücken, Germany, LAP Lambert Academic Publishing.
  7. Dias, S. B., & Diniz, J. A., 2013. FuzzyQoI model: A fuzzy logic-based modelling of users' quality of interaction with a learning management system under blended learning. Computers & Education, 69, 38-59.
  8. Dias, S. B., Diniz, J. A., & Hadjileontiadis, L. J., 2014. Towards an intelligent learning management system under blended learning: trends, profiles and modelling perspectives. In J. Kacprzyk, & L. C. Jain (Eds.), Intelligent Systems Reference Library, Volume 59. Berlin/Heidelberg, Springer-Verlag,
  9. Doan, A., Madhavan, J., Domingos, P., & Halevy, A., 2002. Learning to map between ontologies on the semantic Web. Proc. of the 11th International World Wide Web conference (pp. 662-673).
  10. Felder, R. M., & Silverman, L. K., 1988. Learning and teaching styles in engineering education. Engineering Education, 78(7), 674-681.
  11. Flynn, E., & Siegler, R., 2007. Measuring change: Current trends and future directions in microgenetic research. Infant and Child Development, 16(1), 135-149.
  12. Garrison, D. R., & Kanuka, H., 2004. Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Educ., 7, 95-105.
  13. Graf, S., 2007. Adaptivity in learning management systems focussing on learning styles (Unpublished PhD Thesis), Vienna Univ. Technology, Vienna, Austria.
  14. Gruber, T. R., 1993. A translation approach to portable ontologies. Knowledge Acquisition, 5(2), 199-220.
  15. Hadjileontiadou, S. J., Nikolaidou, G. N., Hadjileontiadis, L. J., & Balafoutas, G. N., 2003. A Fuzzy Logic Evaluating System to Support Web-based Collaboration Using Collaborative and Metacognitive Data, In Proc. of the 3rd IEEE International Conference on Advanced Learning Technologies (ICALT'03) (pp. 96-100). Athens, Greece.
  16. Johnson, L., Adams Becker, S., Cummins, M., Estrada, V., Freeman, A., & Ludgate, H., 2013. NMC Horizon Report: 2013 Higher Education Edition. Austin, Texas, The New Media Consortium.
  17. Johnson, L., Adams Becker, S., Estrada, V., & Freeman, A., 2015. NMC Horizon Report: 2015 Higher Education Edition. Austin, Texas, The New Media Consortium.
  18. Jonassen, D. H., & Grabowski, B. L., 1993. Handbook of individual differences, learning, and instruction. Hillsdale, New Jersey, Lawrence Erlbaum Associates.
  19. Laskey, B. K., 2008. MEBN: A language for first-order Bayesian knowledge bases. Artificial Intelligence, 172(2-3), 140-178.
  20. Liu, Y., 2014. Meditations on the semantic net: Oriented library information service in cloud computing era. In S. Li, Q. Jin, X. Jiang, & J.J. Park (Eds.) Frontier and future development of information technology in medicine and education (pp. 1863-1870). LNEE, Volume 269 (pp. 1863-1870). Netherlands, Springer.
  21. Lukasiewicz, T., & Straccia, U., 2008. Managing uncertainty and vagueness in description logics for the Semantic Web. Web Semantics: Science, Services and Agents on the World Wide Web, 6(4), 291-308.
  22. Ma, Z., Zhang, F., Yan, L., & Cheng, J., 2014. Fuzzy Semantic Web Ontology Mapping. In Fuzzy Knowledge Management for the Semantic Web (pp. 157-180). Berlin-Heidelberg, Springer.
  23. McGuinness, D. L., Fikes, R., Hendler, J., & Stein, L. A., 2002. DAML+OIL: An ontology language for the semantic Web. IEEE Intelligent Syst., 17(5), 72-80.
  24. Mikroyannidis, A., 2012. A semantic framework for cloud learning environments. In C. Lee (Ed.), Cloud computing for teaching and learning: strategies for design and implementation (pp. 17-31). Hershey, PA, IGI Global.
  25. Oliver, M., & Trigwell, K., 2005. Can 'blended learning' be redeemed?. E-learning and Dig. Media, 2(1), 17-26.
  26. Paquette, G., 2014. Technology-based instructional design: evolution and major trends. In J. M. Spector, M. D. Merrill, J. Elen, & M. J. Bishop (Eds.), Handbook of Research on Educational Communications and Technology (pp. 661-671). New York, Springer.
  27. Peters, O., 2001. Learning and teaching in distance education: Analysis and interpretations from an international perspective. London, Kogan Page.
  28. Reeve, J., & Tseng, C. -M., 2011. Agency as a fourth aspect of students' engagement during learning activities. Contemporary Educational Psychol., 36(4), 257-267.
  29. Van Merriënboer, J. J., Kirschner, P. A., & Kester, L., 2003. Taking the load off a learner's mind: Instructional design for complex learning. Educational psychologist, 38(1), 5-13.
  30. Voorsluys, W., Broberg, J., & Buyya, R., 2011. Introduction to cloud computing. Cloud Comp., 1-41.
  31. Wankel, C., & Blessinger, P., 2013. Increasing student engagement and retention in e-learning environments (Web 2.0 and blended learning technologies). Howard House, Wagon Lane, Bingley, UK, Emerald Group.
  32. Whittaker, J., 2009. Graphical models in applied multivariate statistics. Hoboken, NJ, Wiley Pub.
  33. Widyantoro, D. H., & Yen, J., 2001. Incorporating Fuzzy Ontology of Term Relations in a Search Engine. Proc. of the 1st BISC International Workshop on Fuzzy Logic and the Internet (pp. 155-160). Berkeley, USA.
  34. Wijnia, L., Loyens, S. M. M., & Derous, E., 2011. Investigating effects of problem-based vs. lecturebased learning environments on student motivation. Contemporary Educ. Psychology, 36(2), 101-113.
  35. Zadeh, L. A., 1965. Fuzzy sets. Inf. Control, 8, 338-353.
  36. Zadeh, L. A., 1971. Toward a theory of fuzzy systems. In R. E. Kalman, & N. De Claris (Eds.), Aspects of Network & System Theory. NY, Rinehart & Winston.
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Paper Citation


in Harvard Style

B. Dias S., J. Hadjileontiadou S., Diniz J. and J. Hadjileontiaids L. (2015). Towards a Hybrid World - The Fuzzy Quality of Collaboration/Interaction (FuzzyQoC/I) Hybrid Model in the Semantic Web 3.0 . In Proceedings of the 7th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-108-3, pages 187-195. DOI: 10.5220/0005404901870195


in Bibtex Style

@conference{csedu15,
author={Sofia B. Dias and Sofia J. Hadjileontiadou and José A. Diniz and Leontios J. Hadjileontiaids},
title={Towards a Hybrid World - The Fuzzy Quality of Collaboration/Interaction (FuzzyQoC/I) Hybrid Model in the Semantic Web 3.0},
booktitle={Proceedings of the 7th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2015},
pages={187-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005404901870195},
isbn={978-989-758-108-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Towards a Hybrid World - The Fuzzy Quality of Collaboration/Interaction (FuzzyQoC/I) Hybrid Model in the Semantic Web 3.0
SN - 978-989-758-108-3
AU - B. Dias S.
AU - J. Hadjileontiadou S.
AU - Diniz J.
AU - J. Hadjileontiaids L.
PY - 2015
SP - 187
EP - 195
DO - 10.5220/0005404901870195