Pregled bibliografske jedinice broj: 878651
Targeting additional effort for students’ success improvement: The highest effect group selection method
Targeting additional effort for students’ success improvement: The highest effect group selection method // Mathematics education as a science and a profession / Kolar-Begović, Zdenka ; Kolar-Šuper Ružica ; Jukić Matić, Ljerka (ur.).
Osijek: Element, 2017. str. 223-236 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 878651 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Targeting additional effort for students’ success improvement: The highest effect group selection method
Autori
Munđar, Dušan ; Keček, Damira
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Mathematics education as a science and a profession
/ Kolar-Begović, Zdenka ; Kolar-Šuper Ružica ; Jukić Matić, Ljerka - Osijek : Element, 2017, 223-236
Skup
THE SIXTH INTERNATIONAL SCIENTIFIC COLLOQUIUM MATHEMATICS AND CHILDREN, founded by Margita Pavleković (Teaching and Learning Mathematics)
Mjesto i datum
Osijek, Hrvatska, 26.05.2017. - 27.05.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
learning analytics, predictive analytics, students’ success, multinomial logistic regression, Poisson distribution
Sažetak
Goal of our research is to present a method for selection of a group of students. The selected group of students is supposed to receive additional teaching attention in order to improve their performance in the course. Guiding line used, for the group selection, is: value of an action is proportional to the benefit that produces to a customer. In our case customers are students. The selection method is based on multinomial logistic regression, Poisson-type discrete variables modelling the number of points achieved in a term exam, and transition probability matrix. We use data of a study progress during monitoring program in an undergraduate mathematical course. Demographic data and other attributes about previous performance were not included in the analyses. In the first part of the paper we present methodology, while in the second part we introduce data used for demonstration of the proposed method. At the end of the paper, an individual approach for the final selection is proposed. Criteria for selection is clear: increased probabilities of obtaining desired final grade for a student. Weighing of criteria is subjective depending on the goals of the decision makers.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
