Defining Variables for Analyzing Gender Bias in Remote Pair Programming | HackerNoon
Briefly

The twincode platform serves as a digital intervention for exploring gender bias during virtual tasks, allowing analysis across different participant groups.
Independent variables include group allocation and partner gender, chosen to assess the impact of gender perceptions on participant performance in paired tasks.
In the experimental setup, participants interact with a gendered partner avatar, while the control group engages without any gender cues, highlighting the influence of gender dynamics in task execution.
Recruitment and training protocols are crucial, as they prepare subjects for the tasks and mitigate any biases that could affect the outcomes.
Read at Hackernoon
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