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Pregled bibliografske jedinice broj: 1153185

Using Text Mining to Extract Information from Students' Lab Assignments


Gusić, Jelena; Šimić, Diana
Using Text Mining to Extract Information from Students' Lab Assignments // Proceedings of MIPRO 2021 44th International Convention / Skala, Karolj (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021. str. 643-646 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Using Text Mining to Extract Information from Students' Lab Assignments

Autori
Gusić, Jelena ; Šimić, Diana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of MIPRO 2021 44th International Convention / Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021, 643-646

Skup
44th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021)

Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Text mining ; Hierarchical cluster analysis ; Learning analytics ; Assignments evaluation

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
HRZZ-IP-2020-02-5071 - Podizanje zrelosti visokih učilišta za implementaciju analitika učenja (HELA) (Begičević Ređep, Nina, HRZZ - 2020-02) ( CroRIS)

Ustanove:
Fakultet organizacije i informatike, Varaždin

Profili:

Avatar Url Jelena Gusić Munđar (autor)

Avatar Url Diana Šimić (autor)

Poveznice na cjeloviti tekst rada:

www.mipro.hr

Citiraj ovu publikaciju:

Gusić, Jelena; Šimić, Diana
Using Text Mining to Extract Information from Students' Lab Assignments // Proceedings of MIPRO 2021 44th International Convention / Skala, Karolj (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021. str. 643-646 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Gusić, J. & Šimić, D. (2021) Using Text Mining to Extract Information from Students' Lab Assignments. U: Skala, K. (ur.)Proceedings of MIPRO 2021 44th International Convention.
@article{article, author = {Gusi\'{c}, Jelena and \v{S}imi\'{c}, Diana}, editor = {Skala, K.}, year = {2021}, pages = {643-646}, keywords = {Text mining, Hierarchical cluster analysis, Learning analytics, Assignments evaluation}, title = {Using Text Mining to Extract Information from Students' Lab Assignments}, keyword = {Text mining, Hierarchical cluster analysis, Learning analytics, Assignments evaluation}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Gusi\'{c}, Jelena and \v{S}imi\'{c}, Diana}, editor = {Skala, K.}, year = {2021}, pages = {643-646}, keywords = {Text mining, Hierarchical cluster analysis, Learning analytics, Assignments evaluation}, title = {Using Text Mining to Extract Information from Students' Lab Assignments}, keyword = {Text mining, Hierarchical cluster analysis, Learning analytics, Assignments evaluation}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }




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