On Enhancing Blended-Learning Scenarios through Fuzzy Logic-based Modeling of Users’ LMS Quality of Interaction - The Rare & Contemporary Dance Paradigms

Sofia B. Dias, Leontios J. Hadjileontiadis, José A. Diniz

2014

Abstract

The combination of the process of pedagogical planning within the Blended (b-)learning environment with the users’ quality of interaction (QoI) with the Learning Management System (LMS), serving as an effective feedback, is explored here. The required QoI (both for teachers and students) is estimated by adopting a fuzzy logic-based modeling approach, namely FuzzyQoI, applied to LMS Moodle data from two academic teaching of dance disciplines, including rare and contemporary dances, respectively. The latter are used as paradigms that comply with the educational scenarios of the i-Treasures project (www.i-treasures.eu), which refers to the intangible cultural heritage. Based on documental analysis, the pedagogical design strategies per semester were transcribed to concept maps and the dynamically (per week) estimated QoIs were presented as feedback to the teachers at the end of the first semester, so they could reflect and update their pedagogical planning, anticipating more enhanced QoI at the second one. The results presented here show the beneficial role of QoI to shift the educational scenarios and strategies towards a more dynamic design, yet taking into consideration the inherent tendencies and attitudes of the users’ interaction within the b-learning context.

References

  1. Bottino R., Earp J., Olimpo G., Ott M., Pozzi F., Tavella M. (2008). Supporting the design of pilot learning activities with the Pedagogical Plan Manager. In M. Kendall & B. Samways (Eds.) Learning to live in the Knowledge Society, (37-44), Springer.
  2. Chatteur, F., Carvalho, L., Dong, A., 2008. Design for Pedagogy Patterns for E-learning. In Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies (pp. 341-343). DC: IEEE Computer Society.
  3. Collins, M., Berge, Z., 1996. Facilitating interaction in computer mediated online courses. In Proceedings of FSU/AECT Distance Education Conference. http:// penta.2.ufrgs.br/ edu/teleduc/wbi/flcc.htm.
  4. 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.
  5. Dias, S. B., Diniz, J. A., Hadjileontiadis, L. J., 2014. Towards an Intelligent Learning Management System Under Blended Learning: Trends, Profiles and Modelling Perspectives. Springer-Verlag. Berlin/ Heidelberg.
  6. Garrison, D. R., Kanuka, H., 2004. Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Educ., 7, 95-105.
  7. Grant, M. R., Thornton, H. R., 2007. Best Practices in undergraduate adult-centered online learning: mechanisms for course design and delivery. Journal of Online Learning and Teaching, 3(4), 346-356.
  8. Herrington, J., Reeves, T., Oliver, C., 2007. Immersive Learning Technologies: Realism and Online Authentic Learning. Journal of Computing in Higher Education, 19(1), 65-84.
  9. Hijón, R. N., Velázquez, A. I., 2010. From the discovery of students access patterns in e-learning including Web 2.0 resources to the prediction and enhancement of students outcome, e-learning experiences and future. In S. Soomro (Ed.). E-learning Experiences and Future, InTech (ch. 14, pp. 276-294).
  10. Levy, Y. A., Weld, S. D., 2000. Intelligent internet systems. Artificial Intelligence, 118, 1-14.
  11. McIsaac, M. S., Blolcher, J. M., Mahes, V., Vrasidas, C., 1999. Student and teacher perceptions of interaction in online computer-mediated communication. Educational Media International, 36(2), 121-131.
  12. Novak, J. D., Gowin, D. B., 1996. Learning How To Learn. Cambridge University Press. New York.
  13. Olimpo, G., Bottino, R. M., Earp, J., Ott, M., Pozzi, F., Tavella, M., 2010. Pedagogical plans as communication oriented objects. Computers & Education, 55(2), 476-488.
  14. Ping, T. A., Cheng., A. Y., Manoharan, K., 2010. Students' interaction in the online learning management systems: A comparative study of undergraduate and postgraduate courses. In Proceedings of the AAOU-2010 Annual Conf. (pp. 1-14).
  15. Ramos, C., Yudko, E., 2008. “Hits” (not “Discussion Posts”) predict student success in online courses: A double cross-validation study. Computers & Education, 50, 1174-1182.
  16. Redecker, C., Ala-Mutka, K., Bacigalupo, M., Ferrari, A., Punie, Y., 2009. Learning 2.0: The impact of web 2.0 Innovations on Education and Training in Europe. http://is.jrc.ec.europa.eu/pages/Learning-2.0.html.
  17. Tsoukalas, H.L., Uhrig R.E., 1996. Fuzzy and neural approaches in engineering. Wiley & Sons. New York.
  18. Wagner, E. D., 1994. In support of a functional definition of interaction. American Journal of Distance Education, 8(2), 6-26.
  19. Wall, J., 2012. Strategically integrating blended learning to deliver lifelong learning. InTech, ch. 7, 133-148.
Download


Paper Citation


in Harvard Style

B. Dias S., J. Hadjileontiadis L. and A. Diniz J. (2014). On Enhancing Blended-Learning Scenarios through Fuzzy Logic-based Modeling of Users’ LMS Quality of Interaction - The Rare & Contemporary Dance Paradigms . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: IAMICH, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 765-772. DOI: 10.5220/0004861507650772


in Bibtex Style

@conference{iamich14,
author={Sofia B. Dias and Leontios J. Hadjileontiadis and José A. Diniz},
title={On Enhancing Blended-Learning Scenarios through Fuzzy Logic-based Modeling of Users’ LMS Quality of Interaction - The Rare & Contemporary Dance Paradigms},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: IAMICH, (VISIGRAPP 2014)},
year={2014},
pages={765-772},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004861507650772},
isbn={978-989-758-004-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: IAMICH, (VISIGRAPP 2014)
TI - On Enhancing Blended-Learning Scenarios through Fuzzy Logic-based Modeling of Users’ LMS Quality of Interaction - The Rare & Contemporary Dance Paradigms
SN - 978-989-758-004-8
AU - B. Dias S.
AU - J. Hadjileontiadis L.
AU - A. Diniz J.
PY - 2014
SP - 765
EP - 772
DO - 10.5220/0004861507650772