Automated extraction and visualization of learning concept dependencies using Q-matrices and exam results (CROSBI ID 639669)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vranić, Mihaela ; Pintar, Damir ; Humski, Luka
engleski
Automated extraction and visualization of learning concept dependencies using Q-matrices and exam results
Information systems of educational organizations often represent a potential well of useful information which can be discovered and interpreted by using specific methods. Exam results in particular are commonly used as a single-use measure of individual knowledge states, after which they are archived and subsequently never used again. Our approach suggests using past exam results as a rich data source for extracting knowledge about learning concepts, especially regarding their mutual relationships. To achieve this goal, we adopt our method for interactive visualization of patterns in transactional data and apply it to knowledge state matrices generated from real- life exam results and Q-matrices constructed by domain experts, providing the end user with rich, easily interpretable and visually engaging dendrogram structures.
Transactional data; Learning concepts; Annotated exams; Education improvement; Association rule; Q-matrix; Frequent itemsets; Visualization; Tree-like structures; Concept maps
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Podaci o prilogu
2016.
objavljeno
Podaci o matičnoj publikaciji
24th International Conference on Software, Telecommunications and Computer Networks - SoftCOM 2016
Rožić, Nikola ; Begušić, Dinko
Split: Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu
978-953-290-061-3
Podaci o skupu
24th International Conference on Software, Telecommunications and Computer Networks - SoftCOM 2016
predavanje
22.09.2016-24.09.2016
Split, Hrvatska