Pregled bibliografske jedinice broj: 1064202
Adaptivity: A Continual Adaptive Online Knowledge Assessment System
Adaptivity: A Continual Adaptive Online Knowledge Assessment System // Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1161 / Rocha, Á. ; Adeli, H. ; Reis, L. ; Costanzo, S. ; Orovic, I. ; Moreira, F. (ur.).
Cham: Springer, 2020. str. 152-161 doi:10.1007/978-3-030-45697-9_15 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1064202 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Adaptivity: A Continual Adaptive Online Knowledge Assessment System
Autori
Zlatović, Miran ; Balaban, Igor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1161
/ Rocha, Á. ; Adeli, H. ; Reis, L. ; Costanzo, S. ; Orovic, I. ; Moreira, F. - Cham : Springer, 2020, 152-161
ISBN
978-3-030-45696-2
Skup
8th World Conference on Information Systems and Technologies (WorldCIST’20)
Mjesto i datum
Budva, Crna Gora, 07.04.2020. - 10.04.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Online knowledge assessment ; Adaptive knowledge assessment ; Continual knowledge assessment ; Improving classroom teaching ; Post-secondary education
Sažetak
The main goal of this paper is to provide an insight into implementation of a model for continual adaptive online knowledge assessment throughout Adaptivity, a web-based application. Adaptivity enables continual and cumulative knowledge assessment process, which comprises of a sequence of at least two (but preferably more) interconnected tests, carried-out throughout a reasonably long period of time (i.e. one semester). It also provides personalized post-assessment feedback, which is based on each student’s current results, to guide each student in preparations for the upcoming tests. In this paper, we provide description of adaptation model, reveal the design of Adaptivity and results of testing of the proposed model.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin