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Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments

, and . International Journal of Artificial Intelligence in Education, (Sep 9, 2020)
DOI: 10.1007/s40593-020-00199-y

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Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments., and . Int. J. Artif. Intell. Educ., 30 (3): 504-535 (2020)Young Children Can Learn Scientific Reasoning with Teachable Agents., , and . IEEE Trans. Learn. Technol., 6 (3): 248-257 (2013)Physically Distributed Learning: Adapting and Reinterpreting Physical Environments in the Development of Fraction Concepts., and . Cogn. Sci., 29 (4): 587-625 (2005)Young Children's Understanding of Animacy and Entertainment Robots., and . Int. J. Humanoid Robotics, 3 (3): 393-412 (2006)When Observation Beats Doing: Learning by Teaching., and . ICLS, International Society of the Learning Sciences, (2006)Is Neuroscience a Learning Science?, , and . ICLS, International Society of the Learning Sciences, (2006)Choosing versus Receiving Feedback: The Impact of Feedback Valence on Learning in an Assessment Game., and . EDM, page 341-346. International Educational Data Mining Society (IEDMS), (2016)Redefining learning goals of very long-term learning across many different fields of activity., , , , , , , and . CSCL, page 28-37. International Society of the Learning Sciences / ACM DL, (2007)Bringing CBLEs into Classrooms: Experiences with the Betty's Brain System., , , and . ICALT, page 252-256. IEEE Computer Society, (2008)Extending intelligent learning environments with teachable agents to enhance learning, , , , and . Proc. 10th Int'l Conf. on AI in Education: AI-ED in the Wired and Wireless Future, page 389--397. San Antonio, TX, USA, IOS Press, (2001)