Model učenca v inteligentnih tutorskih sistemih : diplomsko delo

Gaberšček, Rihard (author), Divjak, Saša (mentor)

Cilj diplomskega dela je teoretično raziskovanje modela učenca v inteligentnih tutorskih sistemih (ITS) in praktična realizacija konceptov na operacijskem sistemu Android, glede na hitro rast mobilneg segmenta in pomanjkanje ITS-jev na mobilnem področju. Predstavljeni so različni pristopi izdelave modela učenca in učnih stilov. Drugi del naloge predstavlja implementacija preprostega ITS-ja, kjer je model učenca zgrajen s pomočjo mehke logike, stereotipov in prekrivnega modela. Učno domeno v našem primeru predstavljajo osnovne operacije z ulomki. Aplikacija podaja personalizirano vsebino glede na trenutno stanje modela učenca. Učencu prav tako nudi personalizirane pomoči in vrača povratne informacije za optimalnejše učenje.

• Language: Slovenian
• Keywords: model učenca, ITS, inteligentni tutorski sistem, model mehke logike, Android, računalništvo, univerzitetni študij, diplomske naloge
• Work type: Undergraduate thesis
• Typology: 2.11 - Undergraduate Thesis
• Organization: FRI - Faculty of Computer and Information Science
• Publisher: [R. Gaberšček]
• Year: 2015
• Number of pages: 39 str.
• PID: 20.500.12556/RUL-70237
• UDC: 004:37(043.2)
• COBISS.SI-ID: 1536277187
• Publication date in RUL: 10.07.2015

Secondary language

• Language: English
• Title: Student model in intelligent tutor systems

Abstract

The aim of this thesis is a theoretical research of the student model in intelligent tutoring systems (ITS) and a practical realisation of the concepts on Android OS, due to the rapid growth of the mobile segment and a lack of ITS in the mobile field. Various approaches in creating a student model and learning styles are presented. The second part of the thesis introduces the implementation of a simple ITS, where the student model is built using fuzzy logic, stereotypes and an overlay model. In the present case, the learning domain is represented by basic operations with fractions. The application provides personalised content based on the current state of the learner model. In addition, it offers personalised assistance, and a feedback for optimal learning.

• Keywords: student model, ITS, intelligent tutoring system, fuzzy model, Android, computer science, diploma