Abstract
Acquiring new knowledge and skills is the principal goal of any educational institution. Universities planned always to improve the learning methods to offer high academic competencies qualities for students. These competencies help students to respond to the needs of companies’ missions during their internships. In some cases, some companies’ missions required more competencies in a special domain activity. Therefore, we proposed our method based on a continuous learning ontology where a student can do his job with the support and assistance of a specific service or from his supervisor. This ontology will permit to take into consideration, in addition to competencies, the abilities of students to ensure interoperability between company and university by ensuring matching between the actual student skills and required mission skills. Thus, the proposed approach will establish an efficiency matching between the company needs and the students. Results show the benefits of such an approach to resolving the gap between industry needs and students’ skills.
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
Haase, S., Chen, H. L., Sheppard, S., Kolmos, A., & Mejlgaard, N. (2013). What does it take to become a good engineer? identifying cross-national engineering student profiles according to perceived importance of skills. International Journal of Engineering Education, 29(3), 698–713.
Bouchamma, Y., Basque, M., & Marcotte, C. (2014). School management competencies: Perceptions and self-efficacy beliefs of school principals. Creative Education, 5(08), 580.
Rizvi, S., Teckchandany, S., & Ahuja, G. (2013) A study of competencies and skill sets needed by potential recruiters in the financial sector for management graduates. Management Dynamics.
Branch, R. (2016). The effect of human resource management practices of marketing sector on internal organizational social capital (case study: Manufacturing companies of Gilan province). In Saadat, M. & Ooshaksaraie, M. Department of Management, Department of Industrial Management. International Business Management.
Bridgstock, R. (2009). The graduate attributes we’ve overlooked: Enhancing graduate employability through career management skills. Higher Education Research & Development.
Bak, O., & Jordan, C. (2017). Linking industry and higher education: Assessing the skills requirements. Logistics and Transport Focus, 55–56.
Boucher, X., Bonjour, E., & Matta, N. (2007). Competence management in industrial processes. Computers in Industry, 58(2), 95–97.
Jean-Daubiasand, S., & Eyssautier, C. (2005) An environment helping teachers to track students’ competencies. In Workshop Le More (Learner Modelling for Reflection, to Support Learner Control, Metacognition and Improved Communication between Teachers and Learners) at AIED 2005 (12th International Conference on Artificial Intelligence in Education).
Melis, E., Faulhaber, A., Eichelmann, A., & Narciss, S. (2008). Interoperable competencies characterizing learning objects in mathematics. In International Conference on Intelligent Tutoring Systems (pp. 416–425). Springer.
Sieg, A., & Mobasher, B., & Burke, R. (2007) Ontological user profiles for personalized web search. In Proceedings of the 5th Workshop on Intelligent Techniques for Web Personalization, Vancouver, Canada, pages 84–91.
Liang, T.-P., Yang, Y.-F., Chen, D.-N., & Ku, Y.-C. (2008) A semantic expansion approach to personalized knowledge recommendation. Decision Support Systems, 45(3):401–412.
Furst-Bowe, J., Boger, C., Franklin, T., McIntyre, B., Polansky, J., & Schlough, S. (1995). An analysis of required computer competencies for university students. Journal of Research on Computing in Education.
Linck, B. (2008). Competence descriptions for informatics education using the example of logic programming. Education and Information Technologies, 18(2), 193–204. Melis, E., Faulhaber, A., Eichelmann, A., & Narciss, S. Interoperable competencies characterizing learning objects in mathematics. In International Conference on Intelligent Tutoring Systems (pp. 416–425). Springer.
Sitthisak, O., Gilbert, L., Davis,H.C., & Gobbi, M. (2007). Adapting health care competencies to a formal competency model. In Seventh IEEE International Conference on Advanced Learning Technologies, 2007. ICALT 2007. IEEE.
Chandrasekaran, B., Josephson, J. R., & Benjamins, V. R. (1999). What are ontologies, and why do we need them? IEEE Intelligent Systems and their applications, 14(1), 20–26.
Busse, J., Humm, B. G., Lubbert, C., Moelter, F., Reibold, A., Rewald, M., et al. (2015). Actually, what does ontology mean? Journal of computing and information technology, 23(1), 29–41.
Clemente, J., Ramírez, J., & De Antonio, A. (2014). Applying a student modeling with non-monotonic diagnosis to intelligent virtual environment for training/instruction. Expert Systems with Applications.
Gandon, F. (2002). Distributed artificial intelligence and knowledge management: Ontologies and multi-agent systems for a corporate semantic web. PhD thesis, Université Nice Sophia Antipolis.
Pan, J., Zhang, B., Wang, S., Wu, G., & Wei, D. (2007). Ontology based user profiling in personalized information service agent. In 7th IEEE International Conference on Computer and Information Technology, 2007. CIT 2007 (pp. 1089–1093). IEEE.
Sicilia, M.-A. (2005). Ontology-based competency management: infrastructures for the knowledge intensive learning organization. In Intelligent learning infrastructure for knowledge intensive organizations: A semantic Web perspective (pp. 302–324). IGI Global.
Bizer, C., Heese, R., Mochol, M., Oldakowski, R., Tolksdorf, R., & Eckstein, R. (2005). The impact of semantic web technologies on job recruitment processes. Wirtschafts informatik Springer.
Draganidis, F., Chamopoulou, P., & Mentzas, G. (2006). An ontology-based tool for competency management and learning paths. In 6th International Conference on Knowledge Management (I-KNOW 06).
Schmidt, A. (2005). Bridging the gap between knowledge management and e-learning with context-aware corporate learning (Vol. 3782, p. 203). Lecture notes in computer science.
Szab ́o, I., & Neusch, G. (2015). Dynamic skill gap analysis using ontology matching. In International Conference on Electronic Government and the Information Systems Perspective. Springer.
Acknowledgments
This publication was made possible by NPRP grant\# NPRP 7-1883-5-289 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Elchamaa, R., Mbaya, A., Moalla, N., Ouzrout, Y., Bouras, A. (2019). Ontology for Continuous Learning and Support. In: Popplewell, K., Thoben, KD., Knothe, T., Poler, R. (eds) Enterprise Interoperability VIII. Proceedings of the I-ESA Conferences, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-13693-2_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-13693-2_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-13692-5
Online ISBN: 978-3-030-13693-2
eBook Packages: EngineeringEngineering (R0)