Abstract
Web 2.0 has had a tremendous impact on education. It facilitates access and availability of learning content in variety of new formats, content creation, learning tailored to students’ individual preferences, and collaboration. The range of Web 2.0 tools and features is constantly evolving, with focus on users and ways that enable users to socialize, share and work together on (user-generated) content. In this chapter we present ALEF—Adaptive Learning Framework that responds to the challenges posed on educational systems in Web 2.0 era. Besides its base functionality—to deliver educational content—ALEF particularly focuses on making the learning process more efficient by delivering tailored learning experience via personalized recommendation, and enabling learners to collaborate and actively participate in learning via interactive educational components. Our existing and successfully utilized solution serves as the medium for presenting key concepts that enable realizing Web 2.0 principles in education, namely lightweight models, and three components of framework infrastructure important for constant evolution and inclusion of students directly into the educational process—annotation framework, feedback infrastructure and widgets. These make possible to devise and implement various mechanisms for recommendation and collaboration—we also present selected methods for personalized recommendation and collaboration together with their evaluation in ALEF.
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- 1.
A basic component for education delivery is a learning object. For learning object we adopt a broader definition by IEEE, which defines a learning object as any entity, digital or non-digital, that may be used for learning, education or training [15].
- 2.
Browser-Based User Modeling and Personalization Framework, http://brumo.fiit.stuba.sk
References
Beaumont I, Brusilovsky P (1995) Adaptive educational hypermedia: from ideas to real systems. In: Maurer H (ed) Proc of ED-MEDIA ’95 – World Conf on educational multimedia and hypermedia, Graz, Austria, pp 93–98
Berners-Lee T (2005) Berners-Lee on the read/write web. http://news.bbc.co.uk/2/hi/tech-nology/4132752.stm. Accessed 27 Jan 2013
Brusilovsky P (2004) KnowledgeTree: a distributed architecture for adaptive e-learning. In: Proc of the 13th Int World Wide Web Conf, WWW’04. ACM Press, New York, NY, pp 104–113
Brusilovsky P, Peylo C (2003) Adaptive and intelligent web-based educational systems. Int J Artif Intell Educ 13:156–169
Burkhardt J, Détienne F, Hébert A, Perron L, Safin S, Leclercq P (2009) An approach to assess the quality of collaboration in technology-mediated design situations. In: Proc of European Conf on cognitive ergonomics: designing beyond the product (ECCE ’09). VTT Technical Res. Centre of Finland, VTT, Finland
Cristea AI, de Mooij A (2003) LAOS: layered WWW AHS authoring model and their corresponding algebraic operators. In: Proc The 12th Int World Wide Web Conf WWW’03. Alternate track on education, Budapest, Hungary
Cristea AI, Ghali F, Joy M (2011) Social, personalized lifelong learning. In: E-Infrastructures and Tech for lifelong learning (ETLL). IGI Global, Hershey, PA, pp 90–125
Cimiano P (2006) Ontology learning and population from text: algorithms, evaluation and applications. Springer, New York, NY
Crestani F, Lee PL (2000) Searching the web by constrained spreading activation. Inf Process Manag 36(4):585–605
De Bra P, Houben GJ, Wu H (1999) AHAM: a Dexter-based reference model for adaptive hypermedia. In: Proc. of ACM Conf. on Hypertext and Hypermedia. ACM, New York, NY, pp 147–156
Downes S (2005) E-learning 2.0. ACM eLearn Maga 10:1
Edmundson HP (1969) New methods in automatic extracting. J ACM 16(2):264–285
Gong Y, Liu X (2001) Generic text summarization using relevance measure and latent semantic analysis. In: Proc of the 24th ACM SIGIR. ACM, New York, NY, pp 19–25
Hinze U, Bischoff M, Blakowski G (2002) Jigsaw method in the context of CSCL. In: Proc. of world Conf. on educational multimedia, hypermedia and telecommunications. Association for the Advancement of Computing in Education, Norfolk, VA, pp 789–794
IEEE (2002) LTSC draft standard for learning object metadata. IEEE Standard 1484.12.1
Koch N, Wirsing M (2002) The Munich reference model for adaptive hypermedia applications. In: Adaptive hypermedia and adaptive web-based systems. Lecture notes in computer science, vol 2347. Springer, Heidelberg, pp 213–222
Koper R, Rusman E, Sloep P (2005) Effective learning networks. Lifelong Learn Europe 1:18–27
Kostelník R, Bieliková M (2003) Web-based environment using adapted sequences of programming exercises. In: Proc. of Inf. systems implementation and modelling, ISIM 2003, MARQ Ostrava, Brno, pp 33–40
Labaj M (2011) Web-based learning support based on implicit feedback. Inform Sci Tech Bull ACM Slovakia 3(2):76–78
Lin Y, Huang Y, Cheng S (2010) An automatic group composition system for composing collaborative learning groups using enhanced particle swarm optimization. Comput Educ 55(4):1483–1493
Luhn HP (1958) The automatic creation of literature abstracts. IBM J Res Dev 2(2):159–165
Manouselis N, Drachsler H, Vuorikari R, Hummel H, Koper R (2010) Recommender systems in technology enhanced learning. In: Rokach L, Shapira B, Kantor P, Ricci F (eds) Recommender systems handbook: a complete guide for research scientists & practitioners. Springer, New York, NY, pp 387–415
Meccawy M et al (2008) WHURLE 2.0: adaptive learning meets web 2.0. In: EC-TEL ‘08 Proc of the 3rd European Conf on Tech enhanced learning: times of convergence, vol 5192, Lecture Notes in Computer Science. Springer, Heidelberg, pp 274–279
Michlík P, Bieliková M (2010) Exercises recommending for limited time learning. Proc Comput Sci 1(2):2821–2828
Mihál V, Bieliková M (2011) Domain model relations discovering in educational texts based on user created annotations. In: Proc of 14th Int Conf on interactive collaborative learning and 11th Int Conf Virtual University. IEEE, Piscataway, NJ, pp 542–547
Móro R, Bieliková M (2012) Personalized text summarization based on important terms identification. In: Proc of DEXA 2012 workshops (TIR 2012), 23rd Int workshop on database and expert systems applications. IEEE Computer Society, Los Alamitos, CA, pp 131–135
Móro R (2012) Combinations of different raters for text summarization. Inform Sci Tech Bull ACM Slovakia 4(2):56–58
Móro R, Srba I, Unčík M, Bieliková M, Šimko M (2011) Towards collaborative metadata enrichment for adaptive web-based learning. In: Proc of IEEE/WIC/ACM Int Conf on web intelligence and intelligent agent technology – workshops. IEEE Computer Society, Los Alamitos, CA, pp 106–109
Mödritscher F (2010) Towards a recommender strategy for personal learning environments. Proc Comput Sci 1(2):2775–2782
Ounnas A, Davis H, Millard D (2008) A framework for semantic group formation. In: Proc of the 2008 eighth IEEE Int Conf on advanced learning technologies (ICALT ’08). IEEE Computer Society, Washington, DC, pp 34–38
Santos OC, Boticario JG (2011) Requirements for semantic educational recommender systems in formal e-learning scenarios. Algorithms 4(2):131–154
Selim HM, Askin RG, Vakharia AJ (1998) Cell formation in group technology: review, evaluation and directions for future research. Comput Indust Eng 34(1):3–20
Soller A (2007) Adaptive support for distributed collaboration. In: Brusilovsky P, Kobsa A, Nejdl W (eds) The adaptive web, vol 4321, Lecture Notes in Computer Science. Springer, Heidelberg, pp 573–595
Srba I, Bielikova M (2010) Tracing strength of relationships in social networks. In: 2010 IEEE/WIC/ACM Int Conf on web intelligence and intelligent agent technology. IEEE, Washington, DC, pp 13–16
Srba I, Bieliková M (2012) Encouragement of collaborative learning based on dynamic groups. In: Proc of EC TEL 2012, 7th European Conf on technology enhanced learning, vol 7563, Lecture notes in computer science. Springer, Berlin, pp 432–437
Steinberger J, Ježek K (2005) Text summarization and singular value decomposition. In: Proc advances in information systems (ADVIS 04), vol 3261, Lecture notes in computer science. Springer, Berlin, pp 245–254
Šaloun P, Velart Z, Nekula J (2013) Towards automated navigation over multilingual content. In: Semantic hyper/multimedia adaptation, vol 418, Studies in computational intelligence. Springer, Berlin, pp 203–229
Ševcech J, Bieliková M (2011) Automatic annotation of non-English web content. In: Proc of IEEE/WIC/ACM Int Conf on web intelligence and intelligent agent technology – workshops. IEEE Computer Society, Los Alamitos, CA, pp 281–283
Šimko M (2012) Automated acquisition of domain model for adaptive collaborative web-based learning. Inform Sci Tech Bull ACM Slovakia 4(2):1–9
Šimko M, Barla M, Bieliková M (2010) ALEF: a framework for adaptive web-based learning 2.0. In: Proc of IFIP, vol 324, Advances in information and communication technology. Springer, Berlin, pp 367–378
Šimko M, Barla M, Mihál V, Unčík M, Bieliková M (2011) Supporting collaborative web-based education via annotations. In: ED-MEDIA 2011: Proc of World Conf on educational multimedia, hypermedia & telecommunications. AACE: Association for the Advancement of Computing in Education, Chesapeake, VA, pp 2576–2585
Šimko M, Bieliková M (2009) Automated educational course metadata generation based on semantics discovery. In: Proc of European Conf on technology enhanced learning, EC TEL 2009, Nice, France, vol 5794, Lecture notes in computer science. Springer, Berlin, pp 99–105
Šimko M, Bieliková M (2009) Automatic concept relationships discovery for an adaptive e-course. In: Barnes T et al (ed) Proc of educational data mining 2009: 2nd Int Conf on educational data mining, EDM 2009, Cordoba, Spain, pp 171–179
Šimko M, Bieliková M (2012) Discovering hierarchical relationships in educational content. In: Proc of 11th Int Conf on web-based learning, ICWL, vol 7558, Lecture notes in computer science. Springer, Berlin, pp 132–141
Unčík M, Bieliková M (2010) Annotating educational content by questions created by learners. In: Proc of SMAP 2010. IEEE Signal Processing Society, Washington, DC, pp 13–18
Vozár O, Bieliková M (2008) Adaptive test question selection for web-based educational system. In: Proc of SMAP 2008 – 3rd Int workshop on semantic media adaptation and personalization Prague CR. CS IEEE Press, Washington, DC, pp 164–169
Acknowledgements
This chapter is based on publications that present partial results of our research in the field of adaptive and intelligent web-based educational systems, all mentioned in References. It was partially supported by the grants VEGA 1/0675/11/2011-2014, KEGA 028-025STU-4/2010, APVV-0208-10 and it is the partial result of the Research & Development Operational Programme for the project Research of methods for acquisition, analysis and personalized conveying of information and knowledge, ITMS 26240220039, co-funded by the ERDF.
The authors wish to thank colleagues from the Institute of Informatics and Software Engineering and all students (in particular members of PeWe group, pewe.fiit.stuba.sk) for their invaluable contributions to the work presented in this chapter either by discussions or participating in ALEF implementation and experiments. Special thanks deserve former members of ALEF team Pavol Michlík, Vladimír Mihál and Maroš Unčík for their direct contribution to ALEF design and implementation.
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Bieliková, M. et al. (2014). ALEF: From Application to Platform for Adaptive Collaborative Learning. In: Manouselis, N., Drachsler, H., Verbert, K., Santos, O. (eds) Recommender Systems for Technology Enhanced Learning. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0530-0_10
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