Course Recommendation from Social Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00074736" target="_blank" >RIV/00216224:14330/14:00074736 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Course Recommendation from Social Data
Original language description
This paper focuses on recommendations of suitable courses for students. For a successful graduation, a student needs to obtain a minimum number of credits that depends on the field of study. Mandatory and selective courses are usually defined. Additionally, students can enrol in any optional course. Searching for interesting and achievable courses is time-consuming because it depends on individual specializations and interests. The aim of this research is to inspect different techniques how to recommendstudents such courses. This paper brings results of experiments with three approaches of predicting student success. The first one is based on mining study-related data and social network analysis. The second one explores only average grades of students. The last one aims at subgroup discovery for which prediction may be more reliable. Based on these findings we can recommend courses that students will pass with a high accuracy.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
6th International Conference on Computer Supported Education - CSEDU 2014
ISBN
9789897580208
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
268-275
Publisher name
2014 SCITEPRESS ? Science and Technology Publications
Place of publication
Portugal
Event location
Barcelona, Spain
Event date
Apr 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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