Pregled bibliografske jedinice broj: 911446
Implementation of Group Formation Algorithms in the ELARS Recommender System
Implementation of Group Formation Algorithms in the ELARS Recommender System // International journal of emerging technologies in learning, 12 (2017), 11; 198-207 (međunarodna recenzija, kratko priopcenje, znanstveni)
CROSBI ID: 911446 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Implementation of Group Formation Algorithms in the ELARS Recommender System
Autori
Knez, Tina ; Holenko Dlab, Martina ; Hoić-Božić, Nataša
Izvornik
International journal of emerging technologies in learning (1863-0383) 12
(2017), 11;
198-207
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, kratko priopcenje, znanstveni
Ključne riječi
algorithms ; collaborative learning ; ELARS ; group formation
Sažetak
Collaborative learning is recognized as an effective way of gaining knowledge in an online environment. Therefore, e-courses frequently include collaborative e-learning activities (e- tivities) that are performed in pairs or small groups of students. One of the challenges for teachers who organize e-tivities is the effective group forming. This paper presents algorithms that can be used to divide a set of students participating in an e-tivity to homogeneous or heterogeneous groups. The criterion for automatic group formation includes the following characteristics: the program of study, gender, learning styles preferences, Web 2.0 tools preferences, knowledge level and activity level. Designed algorithms were implemented in the educational recommender system ELARS and tested in the context of e- tivities.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus