NDLI: Retina: helping students and instructors based on observed programming activities

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Retina: helping students and instructors based on observed programming activities

Content Provider	ACM Digital Library
Author	Loveland, Kristin Kaiser, Gail Hasan, Sahar Murphy, Christian
Abstract	It is difficult for instructors of CS1 and CS2 courses to get accurate answers to such critical questions as "how long are students spending on programming assignments?", or "what sorts of errors are they making?" At the same time, students often have no idea of where they stand with respect to the rest of the class in terms of time spent on an assignment or the number or types of errors that they encounter. In this paper, we present a tool called Retina, which collects information about students' programming activities, and then provides useful and informative reports to both students and instructors based on the aggregation of that data. Retina can also make real-time recommendations to students, in order to help them quickly address some of the errors they make. In addition to describing Retina and its features, we also present some of our initial findings during two trials of the tool in a real classroom setting.
Starting Page	178
Ending Page	182
Page Count	5
File Format	PDF
ISBN	9781605581835
DOI	10.1145/1508865.1508929
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-03-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Compilation errors Cs1 Cs2 Tutoring systems
Content Type	Text
Resource Type	Article

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