Title
EdCode: Towards Personalized Support at Scale for Remote Assistance in CS Education
Abstract
Programming support methods, like discussion fo-rums and office hours, are important in CS education, but difficult to scale. In this paper, we introduce EdCode, a system that allows students to seek remote instructional support within their IDE in a way that resembles in-person support. It also allows instructors to provide contextualized responses by referencing students’ code, and curate and publish their answers for an entire class by selecting only the relevant part of the code referenced, thereby helping to avoid plagiarism. We evaluated EdCode with a series of usability studies and identified benefits and challenges for its use in programming courses. Students found that the perceived quality of support from EdCode was comparable to that of support from in-person office hours, and both students and instructors found publishing and viewing other students’ answers helpful.
Year
DOI
Venue
2020
10.1109/VL/HCC50065.2020.9127260
2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
Keywords
DocType
ISSN
Programming Education,Remote Assistance,Scalable Support
Conference
1943-6092
ISBN
Citations 
PageRank 
978-1-7281-6901-9
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Yan Chen121029.97
Jaylin Herskovitz212.41
Gabriel Matute300.34
April Y. Wang4104.84
Sang Won Lee512.03
Walter Lasecki683367.19
Steve Oney702.70