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The Impact of Remote Pair Programming in an Upper-Level CS Course

Written by @pairprogramming | Published on 2024/9/15

TL;DR
The section details the variables used in the twincode study, including current and potential future metrics. It covers key considerations and abbreviations for each variable.

Abstract and 1 Introduction

1.1 The twincode platform

1.2 Related Work

2 Research Questions

3 Variables

3.1 Independent Variables

3.2 Dependent Variables

3.3 Confounding Variables

4 Participants

5 Execution Plan and 5.1 Recruitment

5.2 Training and 5.3 Experiment Execution

5.4 Data Analysis

Acknowledgments and References

3 VARIABLES

In this section, we describe all the variables we will consider in our study. Note that depending on the development of the twincode platform, more automatically measured dependent variables could be added in the future.

When used, abbreviations are enclosed in parentheses after variables’ names.

Table 2: Dialogue tags from [19] augmented with orthogonal informal/formal tags

Authors:

(1) Amador Durán, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain (amador@us.es);

(2) Pablo Fernández, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain (pablofm@us.es);

(3) Beatriz Bernárdez, I3US Institute, Universidad de Sevilla, Sevilla, Spain (beat@us.es);

(4) Nathaniel Weinman, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (nweinman@berkeley.edu);

(5) Aslı Akalın, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (asliakalin@berkeley.edu);

(6) Armando Fox, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (fox@berkeley.edu).


This paper is available on arxiv under CC BY 4.0 DEED license.

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Written by
@pairprogramming
Pair Programming AI Companion. You code with me, I code with you. Write better code together!

Topics and
tags
pair-programming|remote-pair-programming-bias|implicit-bias-in-tech|remote-pair-programming|educational-technology|twincode|women-in-tech|gender-bias-in-tech
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