Abstract
Many universities apply e-learning and learning management systems to control the learning process. Such systems require educational programs to be uploaded inside the system as specific structures. Nowadays almost all of the educational programs are based on a competency model with specified learning outcomes, which can also be determined for the courses that are parts of these programs. This paper provides a discussion of the three most widespread learning technology standards for describing, referencing, and sharing competency and learning outcome definitions in the context of online and distributed learning. It also describes a mathematical model that helps to develop a correct educational program based on the newly specified requirements, and provides information about the results of an application of the model in the learning management system of ITMO University.
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References
Sammour, G., Al-Zoubi, A., Gladun, A., Khala, K., Schreurs, J.: MOOCs in universities: Intelligent model for delivering online learning content. In: Proceedings of the 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), pp. 167–171 (2015)
Freire, M., MartÃnez-Ortiz, I., Moreno-Ger, P., Fernández-Manjón, B.: Requirements for educational games in MOOCs. In: Proceedings of the IEEE Global Engineering Education Conference (EDUCON), pp. 993–997 (2015)
Kopylov, D., Fedoreeva, M., Lyamin, A.: Game-based approach for retaining student’s knowledge and learning outcomes. In: Proceedings of the 2015 IEEE 9th International Conference on Application of Information and Communication Technologies (AICT), pp. 609–613 (2015)
Venugopal, G., Jain, R.: Influence of learning management system on student engagement. In: Proceedings of the 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE), pp. 427–432 (2015)
Chezhin, M.S., Efimchik, E.A., Lyamin, A.V.: Automation of variant preparation and solving estimation of algorithmic tasks for virtual laboratories based on automata model. In: Vincenti, G., Bucciero, A., Vaz de Carvalho, C. (eds.) E-Learning, E-Education, and Online Training. LNICST, vol. 160, pp. 35–43. Springer (2016)
Efimchik, E., Lyamin, A.: RLCP-compatible virtual laboratories. In: Proceedings of the International Conference on E-Learning and E-Technologies in Education (ICEEE 2012), pp. 59–64 (2012)
Johnson, L., Adams Becker, S., Cummins, M., Estrada, V., Freeman, A., Hall, C.: NMC Horizon Report: 2016 Higher Education Edition. The New Media Consortium, Austin (2016)
Toth, P.: New possibilities for adaptive online learning in engineering education. In: Proceedings of the 2015 International Conference on Industrial Engineering and Operations Management (IEOM), pp. 1–5 (2015)
Uskov, V., Lyamin, A., Lisitsyna, L., Sekar, B.: Smart e-Learning as a student-centered biotechnical system. In: Vincenti, G., Bucciero, A., Vaz de Carvalho, C. (eds.) E-Learning, E-Education, and Online Training. LNICST, vol. 138, pp. 167–175. Springer (2014)
Lisitsyna, L., Lyamin, A., Skshidlevsky, A.: Estimation of student functional state in learning management system by heart rate variability method. Front. Artif. Intell. Appl. 262, 726–731 (2014)
Laksitowening, K.A., Hasibuan, Z.A.: Personalized e-learning architecture in standard-based education. In: Proceedings of the 2015 International Conference on Science in Information Technology (ICSITech), pp. 110–114 (2015)
InLOC Standard: Integrating Learning Outcomes and Competences (2013)
Information technology for learning, education and training: Information model for competency, Part 1: Competency general framework and information model (ISO/IEC 20006-1) (2014)
Information technology for learning, education and training: Information model for competency, Part 2: Proficiency level information model (ISO/IEC 20006-2) (2014)
IEEE Standard for Learning Technology: Data Model for Reusable Competency Definitions (1484.20.1-2007) (2008)
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This paper is supported by Government of Russian Federation (grant 074-U01).
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Lyamin, A.V., Cherepovskaya, E.N., Chezhin, M.S. (2018). An Outcome-Based Framework for Developing Learning Trajectories. In: Uskov, V., Howlett, R., Jain, L. (eds) Smart Education and e-Learning 2017. SEEL 2017. Smart Innovation, Systems and Technologies, vol 75. Springer, Cham. https://doi.org/10.1007/978-3-319-59451-4_14
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DOI: https://doi.org/10.1007/978-3-319-59451-4_14
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