Browsing by Author "Harbouche, Khadidja"

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    Clustering Educational Items from Response Data using Penalized Pearson coefficient and deep autoencoders
    (University of Eloued جامعة الوادي, 2022-01-24) Harbouche, Khadidja; Smaani, Nassima; Zenbout, Imene
    Educational data mining techniques are very useful to analyze learner performance in purpose to optimize the approach of item-to-skill mapping. Therefore computing a degree of similarity between items using different measures based on the performance of the learner toward items, enhance the clustering of different items into knowledge components. This paper proposes a computational framework to group the elements of the corresponding knowledge component. The first phase of the framework represents a variation of Pearson coefficient to measure item similarity by applying a penalty score that is calculated from the number of hints taken by the learner during solving two items. The second phase applies a dimensionality reduction using deep auto encoders to improve the clustering accuracy. The experimental results show that clustering based on the penalized Pearson coefficient and the deep dimensionality reduction (PPC+DDR) outperforms basic clustering based on different similarity methods , with approximately +0.2 in Mean silhouette coefficient.