This document discusses how insights from network science can help explain learner motivation for collaborative learning. It notes that network thinking is becoming more important in many fields, including education. Adopting a collaborative approach has costs, but humans tend to use strategies like direct and indirect reciprocity to encourage cooperation. Four conditions support collaborative learning: confidence, commitment, allowing for divergence, and decentralization. The role of "collaboration dynamisers" who weave networks is also important. Network analysis methods can help measure new things, reveal motivational patterns, improve support, and increase network thinking in education.
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