How Twincode Measures Gender Bias in Remote Pair Programming Environments

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

To support our study, we have developed the twincode remote pair programming platform, which manages the registration of students, the random allocation to gender-balanced groups, the random allocation into pairs, the random assignment of programming exercises to pairs, and the automatic collection of interaction metrics and dialog messages.

\ As shown in Figure 1, twincode offers a source code editor where the students concurrently develop the solution to a proposed exercise and can validate it against several test cases. It also offers a chat window, where they can collaborate to solve the exercise. Note that a gendered avatar is displayed for the student in the experimental group only (right), but not for the one in the control group (left).

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:::info Authors:

(1) Amador Durán, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]);

(2) Pablo Fernández, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]);

(3) Beatriz Bernárdez, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]);

(4) Nathaniel Weinman, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA ([email protected]);

(5) Aslı Akalın, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA ([email protected]);

(6) Armando Fox, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA ([email protected]).

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

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