%0 Book Section %1 citeulike:13776561 %A Hosseini, Roya %A Hsiao, I-Han %A Guerra, Julio %A Brusilovsky, Peter %B Design for Teaching and Learning in a Networked World %D 2015 %E Conole, Gránne %E Klobucar, Tomaz %E Rensing, Christoph %E Konert, Johannes %E Lavoué, Élise %I Springer International Publishing %K adaptive-navigation-support open-student-model sequencing %P 155--168 %R 10.1007/978-3-319-24258-3_12 %T What Should I Do Next? Adaptive Sequencing in the Context of Open Social Student Modeling %U http://dx.doi.org/10.1007/978-3-319-24258-3_12 %V 9307 %X One of the original goals of intelligent educational systems was to guide each student to the most appropriate educational content. In previous studies, we explored both knowledge-based and social guidance approaches and learned that each has a weak side. In the present work, we have explored the idea of combining social guidance with more traditional knowledge-based guidance systems in hopes of supporting more optimal content navigation. We propose a greedy sequencing approach aimed at maximizing each student's level of knowledge and implemented it in the context of an open social student modeling interface. We performed a classroom study to examine the impact of this combined guidance approach. The results of our classroom study show that a greedy guidance approach positively affected students' navigation, increased the speed of learning for strong students, and improved the overall performance of students, both within the system and through end-of-course assessments.

@incollection{citeulike:13776561, abstract = {{One of the original goals of intelligent educational systems was to guide each student to the most appropriate educational content. In previous studies, we explored both knowledge-based and social guidance approaches and learned that each has a weak side. In the present work, we have explored the idea of combining social guidance with more traditional knowledge-based guidance systems in hopes of supporting more optimal content navigation. We propose a greedy sequencing approach aimed at maximizing each student's level of knowledge and implemented it in the context of an open social student modeling interface. We performed a classroom study to examine the impact of this combined guidance approach. The results of our classroom study show that a greedy guidance approach positively affected students' navigation, increased the speed of learning for strong students, and improved the overall performance of students, both within the system and through end-of-course assessments.}}, added-at = {2017-11-15T17:02:25.000+0100}, author = {Hosseini, Roya and Hsiao, I-Han and Guerra, Julio and Brusilovsky, Peter}, biburl = {https://www.bibsonomy.org/bibtex/24c47b15a2702dd20507272702d6696d8/brusilovsky}, booktitle = {Design for Teaching and Learning in a Networked World}, citeulike-article-id = {13776561}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-319-24258-3_12}, citeulike-linkout-1 = {http://link.springer.com/chapter/10.1007/978-3-319-24258-3_12}, doi = {10.1007/978-3-319-24258-3_12}, editor = {Conole, Gr\'{a}nne and Klobu\v{c}ar, Toma\v{z} and Rensing, Christoph and Konert, Johannes and Lavou\'{e}, \'{E}lise}, interhash = {229b90723c32d71d634ed0d69e03609a}, intrahash = {4c47b15a2702dd20507272702d6696d8}, keywords = {adaptive-navigation-support open-student-model sequencing}, pages = {155--168}, posted-at = {2015-09-28 04:12:16}, priority = {2}, publisher = {Springer International Publishing}, series = {Lecture Notes in Computer Science}, timestamp = {2021-04-16T21:48:38.000+0200}, title = {{What Should I Do Next? Adaptive Sequencing in the Context of Open Social Student Modeling}}, url = {http://dx.doi.org/10.1007/978-3-319-24258-3_12}, volume = 9307, year = 2015 }