Pregled bibliografske jedinice broj: 1198900
Improving Stability of Detected Topics in Learning Analytics
Improving Stability of Detected Topics in Learning Analytics // Proceedings MIPRO 2022 / Skala, Karolj (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2022. str. 648-652 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1198900 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Improving Stability of Detected Topics in Learning
Analytics
Autori
Rako, Sabina ; Šimić, Diana ; Šlibar, Barbara ; Gusić Munđar, Jelena
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings MIPRO 2022
/ Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2022, 648-652
Skup
45th Jubilee International Convention on Information, Communication and Electronic Technology
Mjesto i datum
Opatija, Hrvatska, 23.05.2022. - 27.05.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
learning analytics ; educational data mining ; self-regulated learning ; text mining ; topic modelling ; Latent Dirichlet Allocation ; Jaccard similarity
Sažetak
Due to exponential increase in the number of published research papers, it is becoming more and more difficult to review current research in any discipline. It is especially true for disciplines undergoing fast development like learning analytics and educational data mining. Natural language processing offers opportunity to facilitate extraction of information/knowledge from a large volume of documents. In an attempt to organize papers on application of learning analytics and educational data mining for supporting self- regulated learning, we have used Latent Dirichlet Allocation to identify topics in a set of 107 research papers. Results of Latent Dirichlet Allocation depend on the initial choice of a random number generator seed, and replicated runs do not result in the same topics. Stability of allocation of documents to topics was analyzed using Jaccard similarity coefficient. The proposed method enables identifying stabile clusters of research papers sharing the same topics.
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