Pregled bibliografske jedinice broj: 828155
Empirical Evaluation of Intelligent Tutoring Systems with Ontological Domain Knowledge Representation: A Case Study with Online Courses in Higher Education
Empirical Evaluation of Intelligent Tutoring Systems with Ontological Domain Knowledge Representation: A Case Study with Online Courses in Higher Education // ITS 2016: 13th International Conference on Intelligent Tutoring Systems: Proceedings / Micarelli, Alessandro ; Stamper, John ; Panourgia, Kitty (ur.).
Cham: Springer, 2016. str. 469-470 (poster, međunarodna recenzija, prošireni sažetak, znanstveni)
CROSBI ID: 828155 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Empirical Evaluation of Intelligent Tutoring
Systems with Ontological Domain Knowledge
Representation: A Case Study with Online
Courses in Higher Education
Autori
Grubišić, Ani ; Stankov, Slavomir ; Žitko, Branko ; Tomaš, Suzana ; Brajković, Emil ; Volarić, Tomislav ; Vasić, Danijel ; Šarić, Ines
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni
Izvornik
ITS 2016: 13th International Conference on Intelligent Tutoring Systems: Proceedings
/ Micarelli, Alessandro ; Stamper, John ; Panourgia, Kitty - Cham : Springer, 2016, 469-470
ISBN
978-3-319-39583-8
Skup
13th International Conference on Intelligent Tutoring Systems, ITS 2016
Mjesto i datum
Zagreb, Hrvatska, 07.06.2016. - 10.06.2016
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
intelligent tutoring systems ; adaptive courseware ; natural language processing ; ontology ; effectiveness evaluation
Sažetak
We present results of empirical evaluation of intelligent tutoring systems (ITS) with ontological domain knowledge representation. This research was done as a first step in the process of developing a new model of intelligent tutoring system that will include all the characteristics of evaluated systems: adaptive content, communication based on controlled natural language, graphical presentation of ontological domain knowledge representation. The case study results revealed extraordinary effectiveness of evaluated adaptive intelligent tutoring systems when compared with traditional learning and teaching process.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
Napomena
Book Series: Lecture Notes in Computer Science, Volume: 9684
POVEZANOST RADA
Projekti:
Ostalo-N00014-15-1-2789 - Prilagodljivi inteligentni tutorski sustav temeljen na obradi prirodnog jezika (AC&NL Tutor) (Grubišić, Ani, Ostalo - Long Range Broad Agency Announcement (BAA) for Navy and Marine Corps Science and Technology) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Split,
Filozofski fakultet u Splitu
Profili:
Suzana Tomaš
(autor)
Branko Žitko
(autor)
Ani Grubišić
(autor)
Ines Šarić-Grgić
(autor)
Slavomir Stankov
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Conference Proceedings Citation Index - Social Sciences & Humanities (CPCI-SSH)
- Scopus