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Content Provider | ACM Digital Library |
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Author | Harsley, Rachel Di Eugenio, Barbara Al Zoubi, Omar Fossati, Davide Green, Nick Aditya, Satabdi |
Abstract | This paper focuses on the motivation, design, and initial prototype implementation of Collab-ChiQat. Collab-ChiQat is a collaborative reconceptualization of an existing intelligent tutoring system for Computer Science Education originally intended for one-to-one student-system tutoring. Collab-ChiQat allows students to work as pair programmers as they solve coding problems for linked lists, a foundational and difficult to grasp CS concept. The work is unique in itâ s comparison of how system structuring of collaboration affects both learning and actual collaboration. In one condition, students are left to themselves with no system feedback regarding their collaborative behavior. While in a second condition, the collaboration is semi-structured, meaning students received a visualization of their participation and other metrics. |
Starting Page | 281 |
Ending Page | 284 |
Page Count | 4 |
File Format | |
ISBN | 9781450339506 |
DOI | 10.1145/2818052.2869118 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2016-02-27 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Collaboration Pair programming Intelligent tutoring systems Linked lists Computer science education |
Content Type | Text |
Resource Type | Article |
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