Abstract
Pair programming usually consists of two people collectively programming under prescribed rules. Pair programming has been shown to help students in beginning programming courses learn material and be retained in computing fields (especially for under-represented minorities). However, an open question remains: what are the best methods for choosing pairs to try to avoid incompatibility in introductory programming classes to help retain under-represented groups? This paper compares pairing incompatibilities between two types of academic pairings. Preliminary results show academic pairings based on pair programming lab performance may be more promising than academic pairings based on individual test performance.
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