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Co-creative proccesses between people can be characterized by rich dialogue that carries each person's ideas into the collaborative space. When people co-create an artifact that is both technical and aesthetic, their dialogue reflects the interplay between these two dimensions. However, the dialogue mechanisms that express this interplay and the extent to which they are related to outcomes, such as peer satisfaction, are not well understood. This paper reports on a study of 68 high school learner dyads' textual dialogues as they create music by writing code together in a digital learning environment for musical remixing. We report on a novel dialogue taxonomy built to capture the technical and aesthetic dimensions of learners' collaborative dialogues. We identified dialogue act n-grams (sequences of length 1, 2, or 3) that are present within the corpus and discovered five significant n-gram predictors for whether a learner felt satisfied with their partner during the collaboration. The learner was more likely to report higher satisfaction with their partner when the learner frequently acknowledges their partner, exchanges positive feedback with their partner, and their partner proposes an idea and elaborates on the idea. In contrast, the learner is more likely to report lower satisfaction with their partner when the learner frequently accepts back-to-back proposals from their partner and when the partner responds to the learner's statements with positive feedback. This work advances understanding of collaborative dialogue within co-creative domains and suggests dialogue strategies that may be helpful to foster co-creativity as learners collaborate to produce a creative artifact. The findings also suggest important areas of focus for intelligent or adaptive systems that aim to support learners during the co-creative process. 

Participatory design practices create informed designs by bringing stakeholders into the design process early and often. This approach is a powerful tool, especially when the designer and the intended user are very different. This paper reports on work in which researchers co-design pedagogical agents to support collaborative computer science learning with elementary school students using an iterative drawing methodology. In the open drawing phase, students drew what they believe good collaboration looked like. Next, researchers analyzed those drawings under the requirements of the broader project and created a drawing scaffold (similar to a coloring book page). In the scaffolded drawing phase, students ideated within the more focused context. This process resulted in actionable design guidelines for the appearance of pedagogical agents.