Abstract
Building a new course is a complex task for teachers: the entire process requires different steps, starting with the concept map building and ending with the delivery of the learning objects to students through a learning management system. Teachers have to spend a lot of time to build or to retrieve the right learning material from local databases or from specialized repositories on the web. Consequently, having a system supporting this phase is a very important challenge, considering that each teacher expresses her own pedagogy as well. Here we propose a novel Teacher Model that helps teachers to build new courses effectively. The model is based both on a didactic semantic network containing concepts and learning material and on Teaching Styles as proposed in the literature by Grasha. This framework gives teachers the possibility to share their teaching experience as well. A first experimentation of the system gives positive results.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Download to read the full chapter text
Chapter PDF
References
Bunke, H., Shearer, K.: A graph distance metric based on the maximal common subgraph. Pattern Recogn. Lett. 19(3-4), 255–259 (1998)
Culmone, R., Rossi, G., Merelli, E.: An ontology similarity algorithm for bioagent. In: Proceedings of the Workshop Agents in Bioinformatics (NETTAB 2002), Bologna, July 12-14 (2002)
Felder, R.M., Silverman, L.K.: Learning and teaching styles in engineering education. Engineering Education 78(7), 674 (1988)
Dorigo, M., Di Caro, G., Gambardella, L.M.: Ant algorithms for discrete optimization. MIT Press Journals 5(2), 137–172 (1999)
Gasparetti, F., Micarelli, A., Sciarrone, F.: A web-based training system for business letter writing. Knowledge-Based Systems 22(4), 287–291 (2009)
Grasha, A.: Teaching with Style: A Practical Guide to Enhancing Learning by Understanding Teaching and Learning Styles. Alliance (1996)
Limongelli, C., Miola, A., Sciarrone, F., Temperini, M.: Supporting teachers to retrieve and select learning objects for personalized courses in the moodle-ls environment. In: Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, ICALT 2012, pp. 518–520 (2012)
Limongelli, C., Mosiello, G., Panzieri, S., Sciarrone, F.: Virtual industrial training: Joining innovative interfaces with plant modeling. In: International Conference on Information Technology Based Higher Education and Training, ITHET 2012 (2012)
Limongelli, C., Sciarrone, F., Starace, P., Temperini, M.: An ontology-driven olap system to help teachers in the analysis of web learning object repositories. Information Systems Management 27(3), 198–206 (2010)
Limongelli, C., Sciarrone, F., Temperini, M., Vaste, G.: The lecomps5 framework for personalized web-based learning: A teacher’s satisfaction perspective. Computers in Human Behavior 27(4), 1310–1320 (2011)
Limongelli, C., Sciarrone, F., Temperini, M., Vaste, G.: Adaptive learning with the ls-plan system: A field evaluation. IEEE Transactions on Learning Technologies 2(3), 203–215 (2009)
Mitchell, T.: Machine Learning. McGraw-Hill, New York (1997)
Sciarrone, F.: An extension of the q diversity metric from single-label to multi-label and multi-ranking multiple classifier systems for pattern classification. In: Proceedings of the International Conference on Machine Learning and Cybernetics, ICML 2012, vol. 1, pp. 6–10 (2012)
Sterbini, A., Temperini, M.: Dealing with open-answer questions in a peer-assessment environment. In: Popescu, E., Li, Q., Klamma, R., Leung, H., Specht, M. (eds.) ICWL 2012. LNCS, vol. 7558, pp. 240–248. Springer, Heidelberg (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Limongelli, C., Lombardi, M., Marani, A., Sciarrone, F. (2013). A Teacher Model to Speed Up the Process of Building Courses. In: Kurosu, M. (eds) Human-Computer Interaction. Applications and Services. HCI 2013. Lecture Notes in Computer Science, vol 8005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39262-7_50
Download citation
DOI: https://doi.org/10.1007/978-3-642-39262-7_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39261-0
Online ISBN: 978-3-642-39262-7
eBook Packages: Computer ScienceComputer Science (R0)