nach oben

Erschienen in:

2017 | OriginalPaper | Buchkapitel

9. Design and Implementation of General Tutoring System Model

verfasst von : Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain

Erschienen in: E-Learning Systems

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Regardless of used methodology, central problem in creating web-based educational systems and taking benefits from their wide use is the fact that the current approaches are rather inflexible and inefficient. Design of such systems must be directed to allow reuse or sharing of content, knowledge, and functional components of those systems. According to techniques and methodologies presented in previous chapters, it is possible to develop modern personalized educational system and fully use benefits that Semantic Web technologies offer. In this chapter, general tutoring model is presented that allows building the personalized courses from various domains. This chapter presents architecture of a general tutoring system whose components are modelled and implemented using Semantic Web technologies. Presented tutoring system framework offers options to build, organize and update specific learning resources (educational materials, learner profiles, learning path through materials, and so on.).

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Semantic Web

Nächstes Kapitel Design, Architecture and Interface of Protus 2.1 System

Aroyo, L., & Dicheva, D. (2004). The new challenges for e-learning: The educational semantic web. Educational Technology and Society.

Aroyo, L., & Mizoguchi, R. (2003). Process-aware authoring of web-based educational systems. In CAiSE Workshops.

Bechhofer, S. (2009). OWL: Web ontology language. In Encyclopedia of database systems (pp. 2008–2009). Berlin: Springer.

Borland, J. (2007). A smarter web. Technology Review, 110(2), 64–71. http://doi.org/Article

Brusilovsky, P. (2004). KnowledgeTree: A distributed architecture for adaptive e-learning. In WWW Alt. ’04: Proceedings of the 13th International World Wide Web Conference on Alternate Track Papers and Posters (pp. 104–113). http://doi.org/10.1145/1013367.1013386

Carmagnola, F., Cena, F., Gena, C., & Torre, I. (2005). A semantic framework for adaptive web-based systems. In SWAP (Vol. 166, pp. 82–97).

Chi, Y.-L. (2009). Ontology-based curriculum content sequencing system with semantic rules. Expert Systems with Applications, 36(4), 7838–7847.CrossRef

Devedzic, V. (2006). Semantic web and education (Vol. 11). http://doi.org/10.1007/978-0-387-35417-0

Felder, R., & Silverman, L. (1988). Learning and teaching styles in engineering education. Engineering Education, 78, 674–681. http://doi.org/10.1109/FIE.2008.4720326

Fensel, D. (2004). Ontologies: A silver bullet for knowledge management and electronic-commerce (p. 162). Berlin: Spring.CrossRefMATH

Grönroos, M. (2010). Book of Vaadin: Vaadin 6.4. Writing.

Horrocks, I., Patel-Schneider, P. F., Boley, H., Tabet, S., Grosof, B., Dean, M., et al. (2004). SWRL: A semantic web rule language combining OWL and RuleML. W3C Member Submission, 21, 79.

Janssen, J., den Berg, B., Tattersall, C., Hummel, H., & Koper, R. (2007). Navigational support in lifelong learning: enhancing effectiveness through indirect social navigation. Interactive Learning Environments, 15(2), 127–136.CrossRef

Klašnja-Milićević, A., Vesin, B., Ivanovic, M., & Budimac, Z. (2011). Integration of recommendations and adaptive hypermedia into java tutoring system. Computer Science and Information Systems, 8(1), 211–224. http://doi.org/10.2298/CSIS090608021K

Kolb, D. (1984). Individuality in learning and the concept of learning styles (pp. 61–98). Englewood Cliffs, New Jersey: Prentice Hall.

Popescu, E., Bǎdicǎ, C., & Trigano, P. (2007). Rules for learner modeling and adaptation provisioning in an educational hypermedia system. In Proceedings—9th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2007 (pp. 492–499). http://doi.org/10.1109/SYNASC.2007.72

Romero, C., Ventura, S., Hervas, C., & Gonzalez, P. (2006). Rule mining with {GBGP} to improve web-based adaptive educational systems. In Data mining in e-learning (Vol. 4, pp. 171–188). Retrieved from http://library.witpress.com/pages/listPapers.asp?q_bid=392

Soloman, B. A., & Felder, R. M. (2005). Index of learning styles questionnaire. NC State University. Available Online at: http://www.Engr.Ncsu.Edu/learningstyles/ilsweb.Html. Last Visited on May 14, 2010.

Strohmaier, M., Walk, S., Pöschko, J., Lamprecht, D., Tudorache, T., Nyulas, C., … Noy, N. F. (2013). How ontologies are made: Studying the hidden social dynamics behind collaborative ontology engineering projects. Web Semantics: Science, Services and Agents on the World Wide Web, 20, 18–34.

Ullrich, C. (2004). Description of an instructional ontology and its application in web services for education. In Proceedings of Workshop on Applications of Semantic Web Technologies for E-learning, SW-EL (Vol. 4, pp. 17–23).

Vesin, B., Ivanovic, M., Klašnja-Milićević, A., & Budimac, Z. (2011). Rule-based reasoning for altering pattern navigation in programming tutoring system. In 2011 15th International Conference on System Theory, Control, and Computing (ICSTCC) (pp. 1–6).

Vesin, B., Ivanović, M., Klašnja-Milićević, A., & Budimac, Z. (2012). Protus 2.0: Ontology-based semantic recommendation in programming tutoring system. Expert Systems with Applications, 39, 12229–12246. http://doi.org/10.1016/j.eswa.2012.04.052

Vesin, B., Ivanović, M., Klašnja-Milićević, A., & Budimac, Z. (2013). Ontology-based architecture with recommendation strategy in Java tutoring system. Computer Science and Information Systems, 10(1), 237–261. http://doi.org/10.2298/CSIS111231001V

Wand, Y., Storey, V. C., & Weber, R. (1999). An ontological analysis of the relationship construct in conceptual modeling. ACM Transactions on Database Systems (TODS), 24(4), 494–528.CrossRef

Titel: Design and Implementation of General Tutoring System Model
verfasst von: Aleksandra Klašnja-Milićević
Boban Vesin
Mirjana Ivanović
Zoran Budimac
Lakhmi C. Jain
Verlag: Springer International Publishing
Buch: E-Learning Systems
Print ISBN: 978-3-319-41161-3

Electronic ISBN: 978-3-319-41163-7

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-41163-7_9

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner