Abstract
E-learning is increasingly becoming the preferred delivery mode in learning institutions as it allows any time anywhere learning. However, content delivery, access, distribution and personalization are still a challenge. Moreover, ambiguity of students during decision making for their preferred courses has not been addressed. This paper proposes an adaptive e-learning model, an architecture for the adaptation of learning course materials considering students’ profiles and their context information. Integration of fuzziness with processes of customization and selection of adequate material for the user creates a chance to build truly personalized and adaptive systems. This adaptive model is helpful in recommending course materials to students or adapting them depending on their context. It complements instructors’ efforts in the delivery of learning materials relevant to their personal profiles. An AeLModel architecture is presented taking a full advantage of ontology, tagging, and users’ feedback represented with linguistic descriptors and quantifiers. A prototype was developed and tested using 20 students in a class to assess this model’s usability in addition to its adherence to content adaptation, resulting in a 77% of acceptance. It is recommended for this to be used in improving learning processes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
The prototype software is available from the authors upon request.
- 5.
References
Abech, M., Rigo, S.J., Costa, C.A., Righi, R.R., Barbosa, J.L.V.: A model for learning objects adaptation in light of mobile and context-aware computing. Pers. Ubiquit. Comput. 20(2), 167–184 (2016)
Ahmad, I.A.: A class of Mann-Whitney-Wilcoxon type statistics. Am. Stat. 50(4), 324–327 (1996)
Bae, Y.K., Lim, J.S., Lee, T.W.: Mobile learning system using the ARCS strategies. In: Proceedings of 5th IEEE International Conference on Advanced Learning Technology, ICALT 2005, pp. 600–602 (2005)
Bai, S.M., Chen, S.M.: Evaluating students learning achievement using fuzzy membership functions and fuzzy rules. Expert Syst. Appl. 34(1), 399–410 (2008)
Bellavista, P., Corradi, A., Fanelli, M., Foschini, L.: A survey of context data distribution for mobile ubiquitous systems. ACM Comput. Surv. 44(4), 1–45 (2012)
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Sci. Am. 284, 34–43 (2001)
Bhaskaran, S., Swaminathan, P.: Intelligent adaptive e-learning model for learning management system. Res. J. Appl. Sci. Eng. Tech. 7(16), 3298–3303 (2014)
Cao, L.Y., Oezsu, M.T.: Evaluation of strong consistency web caching techniques. World Wide Web 5(2), 95–123 (2002)
Chen, Y.S., Kao, T.C., Yu, G.J., Sheu, J.P.: A mobile butterfly-watching learning system for supporting independent learning. In: Proceedings of 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, pp. 11–18 (2004/2005)
Gliem, J., Gliem, R.: Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. In: Proceedings of Midwest Research to Practice Conference in Adult, Continuing and Community Education, pp. 82–88 (2003)
Gomez, S., Zervas, P., Sampson, D.G., Fabregat, R.: Supporting context-aware adaptive and personalized Mobile learning delivery: evaluation results from the use of UoLm Player. In: Proceedings of 13th IEEE International Conference on Advanced Learning Technologies, ICALT 2013, pp. 354–358 (2013)
Graf, S., Lin, T.: The relationship between learning styles and cognitive traits: getting additional information for improving student modelling. Comput. Hum. Behav. 24(2), 122–137 (2008)
Iyer, R.: Characterization and evaluation of cache hierarchies for web servers. World Wide Web 7, 259–280 (2004)
Jovanovic, J., Gasevic, D., Torniai, C., Bateman, S., Hatala, M.: The social semantic web in intelligent learning environments: state of the art and future challenges. Interact. Learn. Environ. 17(4), 273–308 (2009)
Likert, R.: A Technique for the Measurement of Attitudes, vol. 140. The Science Press (1932)
de Maio, C., Fenza, G., Gaeta, M., Loia, V., Orciuoli, F., Senatore, S.: RSS-based e-learning recommendations exploiting fuzzy FCA for knowledge modeling. Appl. Soft Comput. 12(1), 113–124 (2012)
Malek, J., Laroussi, M., Derycke, A.: A multi-layer ubiquitous middleware for bijective adaptation between context and activity in a mobile and collaborative learning. In: Proceedings of International Conference on System and Network Communication, ICSNC 2006, p. 39 (2006)
Mathes, A.: Folksonomies: cooperative classification and communication through shared metadata (2004). www.adammathes.com/academic/computermediated-communication/folksonomies.html
Mencar, C., Castiello, C., Fanelli, A.M.: Fuzzy user profiling in e-learning contexts. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds.) KES 2008. LNCS (LNAI), vol. 5178, pp. 230–237. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-85565-1_29
Musumba, G.W., Oboko, R.O., Nyongesa, H.O.: Agent based adaptive e-learning model for any learning management system. Int. J. Mach. Learn. Appl. 2(1.VI) (2013)
Raghavan, P.: Social networks: from the web to the identifying some challenging issues and discussing enterprise. IEEE Internet Comput. 6(1), 91–94 (2002)
Reformat, M.Z., Boechler, P.M.: Fuzziness and semantic web technologies in personalized e-learning. In: Proceedings of 8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 (2013)
Reformat, M.Z., Golmohammadi, S.K.: Rule- and OWA-based semantic similarity for user profiling. Int. J. Fuzzy Syst. 12(2), 87–102 (2010)
Reformat, M.Z., Yager, R.R.: Tag-based fuzzy sets for criteria evaluation in on-line selection processes. J. Ambient Intell. Hum. Comput. 2(1), 35–51 (2011)
Reformat, M.Z., Yager, R.R., Li, Z., Alajlan, N.: Human-inspired identification of high level concepts using OWA and linguistic quantifiers. Int. J. Comput. Commun. Control 6(3), 473–502 (2011)
Riding, R., Cheema, I.: Cognitive styles: an overview and integration. Educ. Psychol. 11(3/4), 193–215 (1991)
Shih, Y.E.: Language in action: applying mobile classroom in foreign language learning. In: Proceedings of 5th IEEE International Conference on Advanced Learning Technology, ICALT 2005, pp. 548–549 (2005)
Ssemugabi, S.: Usability evaluation of a web-based e-learning application: a study of two evaluation methods. Doct. Diss., University of South Africa (2009)
Sternberg, R.J., Grigorenko, E.L.: A capsule history of theory and research on styles. In: Sternberg, R.J., Zhang, L.F. (eds.) Perspectives on Thinking, Learning and Cognitive Styles. Lawrence Erlbaum Assoc., Mahwah (2001)
Syvanen, A., Beale, R., Sharples, M., Ahonen, M., Lonsdale, P.: Supporting pervasive learning environments: adaptability and context awareness in mobile learning. In: Proceedings of IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005, p. 3 (2005)
Tan, T.H., Liu, T.Y.: The mobile-based interactive learning environment (MOBILE) and a case study for assisting elementary school English learning. In: Proceedings of IEEE International Conference on Advanced Learning Technologies, pp. 530–534 (2004)
Wagner, A., Barbosa, J.L.V., Barbosa, D.N.F.: A model for profile management applied to ubiquitous learning environments. Expert Syst. Appl. 41(4.II), 2023–2034 (2014)
Wang, Y.K.: Context awareness and adaptation in mobile learning. In: Proceedings of 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, pp. 154–158 (2004)
Yager, R.R., Reformat, M.Z: Using fuzzy sets to model information provided by social tagging. In: Proceedings of IEEE World Congress on Computational Intelligence (2010)
Yager, R.R., Reformat, M.Z., Gumrah, G.: Using a web personal evaluation tool: PET for lexicographic multi-criteria service selection. Knowl.-Based Syst. 24(7), 929–942 (2011)
Zadeh, L.A.: Toward a perception-based theory of probabilistic reasoning with imprecise probabilities. J. Stat. Plan. Inference 105, 233–264 (2002)
Zhao, G., Yang, Z.: Learning resource adaptation and delivery framework for mobile learning. In: Proceedings of 35th Annual Frontiers in Education Conference, FIE 2005, pp. F1H.18–F1H.24 (2005)
Zhao, X., Wan, X., Okamoto, T.: Adaptive content delivery in ubiquitous learning environment. In: Proceedings of 6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, pp. 19–26 (2010)
Zhong, N., Liu, J., Yao, Y.: In search of the wisdom web. IEEE Comput. 35(11), 27–31 (2002)
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
Musumba, G.W., Wario, R.D. (2019). Towards a Context-Aware Adaptive e-Learning Architecture. In: Kabanda, S., Suleman, H., Gruner, S. (eds) ICT Education. SACLA 2018. Communications in Computer and Information Science, vol 963. Springer, Cham. https://doi.org/10.1007/978-3-030-05813-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-05813-5_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-05812-8
Online ISBN: 978-3-030-05813-5
eBook Packages: Computer ScienceComputer Science (R0)