@article{tsan_rodriguez_boyer_lynch_2018, title={"I Think We Should...": Analyzing Elementary Students' Collaborative Processes for Giving and Taking Suggestions}, DOI={10.1145/3159450.3159507}, abstractNote={Collaboration plays an essential role in computer science. While there is growing recognition that learners of all ages can benefit from collaborative learning, little is known about how elementary-age children engage in collaborative problem solving in computer science. This paper reports on the analysis of a dataset of elementary students collaborating on a programming project. We found that children tend to make several different types of suggestions. In turn, their partners address those suggestions in different ways such as by implementing them directly in code or by replying through dialogue. We observe that students regularly accept or reject suggestions without explanation or explicit acknowledgement and that it is often unclear whether they understand the substance of the suggestion. These behaviors may inhibit the development of a shared understanding between the partners and limit the value of the collaborative process. These results can inform instructional practice and the development of new adaptive tools that facilitate productive collaborative problem solving in computer science.}, journal={SIGCSE'18: PROCEEDINGS OF THE 49TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION}, author={Tsan, Jennifer and Rodriguez, Fernando J. and Boyer, Kristy Elizabeth and Lynch, Collin}, year={2018}, pages={622–627} }
 @inproceedings{rodriguez_boyer_2015, title={Discovering individual and collaborative problem-solving modes with hidden Markov models}, volume={9112}, booktitle={Artificial intelligence in education, aied 2015}, author={Rodriguez, F. J. and Boyer, K. E.}, year={2015}, pages={408–418} }