%0 Book Section %1 citeulike:13925697 %A Bieliková, Mária %A Simko, Marián %A Barla, Michal %A Tvarozek, Jozef %A Labaj, Martin %A Móro, Róbert %A Srba, Ivan %A Sevcech, Jakub %B Recommender Systems for Technology Enhanced Learning %D 2014 %E Manouselis, Nikos %E Drachsler, Hendrik %E Verbert, Katrien %E Santos, Olga C. %I Springer New York %K personalized-learning recommender sequencing %P 195--225 %R 10.1007/978-1-4939-0530-0_10 %T ALEF: From Application to Platform for Adaptive Collaborative Learning %U http://dx.doi.org/10.1007/978-1-4939-0530-0_10 %X 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.

@incollection{citeulike:13925697, 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.}}, added-at = {2018-03-19T12:24:51.000+0100}, author = {Bielikov\'{a}, M\'{a}ria and \v{S}imko, Mari\'{a}n and Barla, Michal and Tvaro\v{z}ek, Jozef and Labaj, Martin and M\'{o}ro, R\'{o}bert and Srba, Ivan and \v{S}evcech, Jakub}, biburl = {https://www.bibsonomy.org/bibtex/235aa1815fad468dea9a58309dc5adc4c/aho}, booktitle = {Recommender Systems for Technology Enhanced Learning}, citeulike-article-id = {13925697}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-1-4939-0530-0_10}, citeulike-linkout-1 = {http://link.springer.com/chapter/10.1007/978-1-4939-0530-0_10}, doi = {10.1007/978-1-4939-0530-0_10}, editor = {Manouselis, Nikos and Drachsler, Hendrik and Verbert, Katrien and Santos, Olga C.}, interhash = {bbbdf9f6a3f0833bfb79ba22d43b8a69}, intrahash = {35aa1815fad468dea9a58309dc5adc4c}, keywords = {personalized-learning recommender sequencing}, pages = {195--225}, posted-at = {2016-02-04 21:08:26}, priority = {2}, publisher = {Springer New York}, timestamp = {2018-03-19T12:24:51.000+0100}, title = {{ALEF: From Application to Platform for Adaptive Collaborative Learning}}, url = {http://dx.doi.org/10.1007/978-1-4939-0530-0_10}, year = 2014 }