Course Similarity Analysis

BYDŽOVSKÁ, Hana. Course Similarity Analysis. Online. In Mária Bieliková, Ivan Srba. Proceedings in Informatics and Information Technologies. Bratislava: WIKT & DaZ 2016, 2016, p. 65-68. ISBN 978-80-227-4619-9.

Basic information

• Original name: Course Similarity Analysis
• Authors: BYDŽOVSKÁ, Hana (203 Czech Republic, guarantor, belonging to the institution).
• Edition: Bratislava, Proceedings in Informatics and Information Technologies, p. 65-68, 4 pp. 2016.
• Publisher: WIKT & DaZ 2016

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Slovakia
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: electronic version available online
• RIV identification code: RIV/00216224:14330/16:00091055
• Organization unit: Faculty of Informatics
• ISBN: 978-80-227-4619-9
• Keywords in English: course similarity; student performance prediction; university information system
• Tags: Reviewed

Abstract

Courses offered to students at universities have different characteristics. In this paper, we analyse course similarities to improve the students’ performance prediction. We utilize the item-to-item collaborative filtering approach that computes course similarities based on students’ grades. We also use content based techniques to compute course similarities based on the information from the course catalogue, e.g. the course content or prerequisites. Using the computed similarities and utilizing different clustering algorithms, we are able to reveal interesting course groups that can be used to improve the student performance prediction. Finally, we are able to predict the students’ final grades of the investigated course by examining grades of only three related courses.

Links

• MUNI/A/0945/2015, interní kód MU: Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace V.

Investor: Masaryk University, Category A