Pregled bibliografske jedinice broj: 973592
Time Spent Online as an Online Learning Behavior Variable in a Blended Learning Environment with an Ontology-Based Intelligent Tutoring System
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 ; Šarić, Matko (ur.).
Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), 2018. str. 338-343 doi:10.23919/softcom.2018.8555854 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Time Spent Online as an Online Learning
Behavior Variable in a Blended Learning
Environment with an Ontology-Based Intelligent
Tutoring System
Autori
Šarić, Ines ; Šerić, Ljiljana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
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), 2018, 338-343
ISBN
953-290-087-X
Skup
26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018)
Mjesto i datum
Split, Hrvatska; Supetar, Hrvatska, 13.09.2018. - 15.09.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
intelligent tutoring system ; blended learning environment ; online learning behavior
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Prirodoslovno-matematički fakultet, Split
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus