Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

Time Spent Online as an Online Learning Behavior Variable in a Blended Learning Environment with an Ontology-Based Intelligent Tutoring System (CROSBI ID 670582)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Šarić, Ines ; Šerić, Ljiljana Time Spent Online as an Online Learning Behavior Variable in a Blended Learning Environment with an Ontology-Based Intelligent Tutoring System // SoftCOM 2018: 26th International Conference on Software, Telecommunications and Computer Networks: Proceedings / Begušić, Dinko ; Rožić, Nikola ; Radić, Joško et al. (ur.). Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), 2018. str. 338-343 doi: 10.23919/softcom.2018.8555854

Podaci o odgovornosti

Šarić, Ines ; Šerić, Ljiljana

engleski

Time Spent Online as an Online Learning Behavior Variable in a Blended Learning Environment with an Ontology-Based Intelligent Tutoring System

This paper discusses a study conducted in a blended learning environment for an introductory computer programming course. The experimental environment is a type of flipped classroom model, in which students initially learn the basic concepts online and then learn traditional lecture in the subsequent class. During the design phase of a blended learning course, it is important to determine the time frame a teacher expects from students regarding spending time online. Therefore, the aim of this study of AC-ware supported education is to identify online learning time frames. After the students use AC-ware Tutor for four experimental weeks, we will investigate their weekly online learning behavior. The online learning behavior will be represented using the knowledge tracking variables complemented by additional stereotype tracking variables. By using K-means algorithm, we will highlight four groups of specific online learning behaviors. The performance of each student group will be described using weekly paper-based concept map posttests.

intelligent tutoring system ; blended learning environment ; online learning behavior

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

338-343.

2018.

objavljeno

10.23919/softcom.2018.8555854

Podaci o matičnoj publikaciji

SoftCOM 2018: 26th International Conference on Software, Telecommunications and Computer Networks: Proceedings

Begušić, Dinko ; Rožić, Nikola ; Radić, Joško ; Šarić, Matko

Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE)

953-290-087-X

1847-358X

Podaci o skupu

26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018)

predavanje

13.09.2018-15.09.2018

Split, Hrvatska; Supetar, Hrvatska

Povezanost rada

Računarstvo

Poveznice
Indeksiranost