Naslov
Principles of Natural Language Processing and Adaptive Courseware in E-Assessments: Empirical Evaluations

Autori
Grubišić, Ani ; Stankov, Slavomir ; Žitko, Branko ; Tomaš, Suzana ; Brajković, Emil ; Volarić, Tomislav ; Vasić, Daniel ; Šarić, Ines ; Dodaj, Arta

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Handbook of Research on E-Assessment in Higher Education

Urednik/ci
Azevedo, Ana ; Azevedo, Jose

Izdavač
IGI Global

Grad
Porto

Godina
2019

Raspon stranica
335-366

ISBN
978-1-5225-5936-8

Ključne riječi
intelligent tutoring systems

Sažetak
Over the last few decades, researchers put efforts to improve intelligent tutoring systems' abilities with the aim to get them as close as possible to the ultimate goal of one- to-one tutoring. CoLaB Tutor and AC-ware Tutor are intelligent tutoring systems based on conceptual knowledge learning and are notable due to the fact they are relatively easy to generalize to multiple knowledge domains. CoLaB Tutor's forte lies in teacher-learner communication in controlled natural language, while AC-ware Tutor focuses on the automatic and dynamic generation of adaptive courseware. In order to compare various intelligent tutoring system supported education environments, in this chapter, the authors summarize several empirical evaluations of CoLaB Tutor and AC-ware Tutor. The results of intelligent tutoring systems' effectiveness in these environments offer the possibility to observe the specific intelligent tutoring system across various education levels, as well as to compare the intelligent tutoring systems' supported education environments.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA