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Investigating Automated Student Modeling in a Java MOOC

Yudelson, Michael and Hosseini, Roya and Vihavainen, Arto and Brusilovsky, Peter (2014) Investigating Automated Student Modeling in a Java MOOC. In: International Conference on Educational Data Mining, 04 July 2014 - 07 July 2014, London, UK.

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Abstract

With the advent of ubiquitous web, programming is no longer a sole prerogative of computer science schools. Scripting languages are taught to wider audiences and programming has become a flag post of any technology related program. As more and more students are exposed to coding, it is no longer a trade of the select few. As a result, students who would not opt for a coding class a decade ago are in a position of having to learn a rather difficult subject. The problem of assisting students in learning programming has been explored in several intelligent tutoring systems. The key component of such systems is a student model that keeps track of student progress. In turn, the foundation of a student model is a domain model – a vocabulary of skills (or concepts) that structures the representation of student knowledge. Building domain models for programming is known as a complicated task. In this paper we explore automated approaches for extracting domain models for learning programming languages and modeling student knowledge in the process of solving programming exercises. We evaluate the validity of this approach using large volume of student code submission data from a MOOC on introductory Java programming.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Yudelson, Michael
Hosseini, Royaroh38@pitt.eduROH38
Vihavainen, Arto
Brusilovsky, Peterpeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 4 July 2014
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Educational Data Mining 2014
Page Range: 261 - 264
Event Title: International Conference on Educational Data Mining
Event Dates: 04 July 2014 - 07 July 2014
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Intelligent Systems
School of Information Sciences > Information Science
Refereed: Yes
Date Deposited: 19 Jun 2014 15:00
Last Modified: 01 Nov 2017 12:57
URI: http://d-scholarship.pitt.edu/id/eprint/21833

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