Abstract
The personalization of learners’ educational paths in MOOC (Massive Open Online Courses) is one of the major questions that help teachers in their functions of teaching and monitoring of learners. Being intended for a huge and multiple number of learners, MOOCs are problematic for teachers in monitoring and understanding each learner’s profile. It is for these reasons that we propose a semantic web (SW) approach to build a recommendation system in a graphical interface that we created using the NetBeans IDE. The goal is to enable learners who follow the MOOC to directly head for modules that meet the characteristics and requirements of their profiles. Moreover, the proposed approach is based on some essential technologies such as resource description framework (RDF), ontology, web ontology language (OWL) and RDF query language (SPARQL). Thus, the main objective of this paper is to present another beneficial technique aimed at improving distance courses by allowing teachers and learners to work in better conditions. The primary results showed that the performance of the (SW) based recommendation system is effective.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cisel, M.: Qui étaient les participants du MOOC Gestion de Projet ? Blog La révolution MOOC. http://blog.educpros.fr/matthieu-cisel/2013/08/16/qui-etaient-lesparticipants-du-mooc-gestion-de-projet
Baker, R., Evans, B., Dee, T.: Understanding persistence in MOOCs: descriptive & experimental evidence. EMOOCs 2014, 5–10 (2014)
Willems, C., Renz, J., Staubiz, T., Meinel, C.: Reflections on enrollment numbers and success rates at the openhpi MOOC platform. EMOOCs 2014, 101–106 (2014)
Halawa, S., Mitchell, J.: Dropout prediction in MOOCs using learner activity features. EMOOCs 2014, 58–65 (2014)
Miranda, S., Mangioni, G., Orciuoli, F., Loia, V., Salerno, S.: The SIRET training platform: facing the dropout phenomenon of MOOC environments. EMOOCs 2014, 107–113 (2014)
Liyanagunawardena, T.R., Parslow, P., Williams, S.A.: Dropout: MOOC participants’ perspective. EMOOCs 2014, 95–100 (2014)
Brusilovsky, P.: Adaptive and intelligent technologies for web-based education. http://www.kuenstliche-Intelligenz.de/archive/ (2001)
Höök, K.: Steps to Take Before IUI Becomes Real. The Reality of Intelligent Interface Technology, Edinburgh (1997)
Lebow, D.: Constructivist values for instructional systems design: five principles toward a new midset. Educ. Tech. Res. Dev. 41(3), 3–16 (1993)
Lefevre, M., Guin, N., Jean-Daubias, S.: Personnaliser des activités pédagogiques de ma-nière unifiée: une solution à la diversité des dispositifs. STICEF 19, (2012)
Gutiérrez-Rojas, I., Alario-Hoyos, C., Pérez-Sanagustin, M., Leony, D., Delgado-Kloos, C.: Scaffolding self-learning in MOOC. EMOOCs 2014, 43–49 (2014)
Gilbert Paquette, O.M.: Competency-based personalization for massive online learning. Smart Learn. Environ., pp. 1–19 (2015)
Gutiérrez-Rojas, I., Leony, D., Alario-Hoyos, C., Pérez-Sanagustin, M., Delgado-Kloos, C.: Towards an outcome-based discovery and filtering of moocs using moocrank. EMOOCs 2014, 50–57 (2014)
Sonwalkar, N.: The first adaptive MOOC: a case study on pedagogy framework and scalable cloud architecture—part I. MOOCs Forum, pp. 22–29 (2013)
Paquette, G.: L’ingénierie pédagogique: pour construire l’apprentissage en réseau. Presses de l’Université du Québec, Québec (2002)
Robu, I., Robu, V., Thirion, B.: An introduction to the semantic web for health sciences librarians. J. Med. Libr. Assoc. 94(2), 198–205 (2006)
Laufer, C.: Guia_Web_Semantica, p. 133 (2015)
McGuinness D.L., Van Harmelen, F.: OWL web ontology language overview. W3C Recomm. 2004, 10 (2004).
Charlet, J., Bachimont, B., Troncy, R.: Ontologies pour le Web sémantique, s. d., 31.2004.
https://protege.stanford.edu/index.shtml. Author, F.: Article title. J. 2(5), 99–110 (2016)
Gandon, F., Krummenacher, R., Han, S.-K., Toma, I.: The Resource Description. Framework and its Schema. Handbook of Semantic Web Technologies (Issue January). http://www.springer.com/us/book/9783540929123 (2011)
Cyganiak, R., Wood, D., Lanthaler, M.: RDF 1.1 concepts and abstract syntax. W3c Recomm. 2014; 25
Group WSW: SPARQL 1.1 Overview. W3C Recomm. W3C (2013)
Che,H.: A semantic web primer. J. Am. Soc. Inf. Sci. Technol. 57(8) (2006). https://doi.org/10.1002/asi.20368
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Dhaiouir, I., Ezziyyani, M., Khaldi, M. (2022). The Personalization of Learners’ Educational Paths E-learning. In: Ben Ahmed, M., Teodorescu, HN.L., Mazri, T., Subashini, P., Boudhir, A.A. (eds) Networking, Intelligent Systems and Security. Smart Innovation, Systems and Technologies, vol 237. Springer, Singapore. https://doi.org/10.1007/978-981-16-3637-0_37
Download citation
DOI: https://doi.org/10.1007/978-981-16-3637-0_37
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-3636-3
Online ISBN: 978-981-16-3637-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)