Using Text Mining to Extract Information from Students' Lab Assignments (CROSBI ID 709300)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Gusić, Jelena ; Šimić, Diana
engleski
Using Text Mining to Extract Information from Students' Lab Assignments
We use text mining as a part of formative assessment in one generation of the first year undergraduate students enrolled in our Statistics course. Practical lab exercises were done in R and RStudio. During the semester, students wrote weekly assignments. There were 11 assignments. Assignments were pre pared in Rmarkdown, and students added necessary code and text to the Rmarkdown document, knitted the document and submitted the generated html files. We wanted to identify students whose submissions were not substantially different from the assignment (substandard work) and groups of students who submitted similar texts (possible collusion or plagiarism). Additionally, we wanted to compare results of text mining Text analyses were done in R using packages XML, RCurl, RWeka and tm. A document term matrix was created with trigrams. For each assignment, distance between submitted texts was calculated as the Euclidian distance. Hierarchical cluster analysis with complete linkage was used to identify similarities between students' assignments. The initial assignment was included for comparison. Clusters of assignments with very small inter assignment distances pointed to similarities of assignments. Students whose work was most distant from others were found to be either excellent, or failing students.
Text mining ; Hierarchical cluster analysis ; Learning analytics ; Assignments evaluation
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Podaci o prilogu
643-646.
2021.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of MIPRO 2021 44th International Convention
Skala, Karolj
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
1847-3938
1847-3946
Podaci o skupu
MIPRO 2021
predavanje
27.09.2021-01.10.2021
Opatija, Hrvatska