Doris B. Chin
Stanford University
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Featured researches published by Doris B. Chin.
artificial intelligence in education | 2017
Maria Cutumisu; Kristen Pilner Blair; Doris B. Chin; Daniel L. Schwartz
We introduce a choice-based assessment strategy that measures students’ choices to seek constructive feedback and to revise their work. We present the feedback system of a game we designed to assess whether students choose positive or negative feedback and choose to revise their posters in the context of a poster design task, where they learn graphic design principles from feedback. We then describe an empirical study that sampled one hundred and six students from a US middle school to evaluate the feedback system. We make the following contributions: (1) describe the design and implementation of a novel feedback system embedded in an assessment game, Posterlet, (2) outline an approach to analyze graphic design principles automatically to provide contextual feedback in a novel poster design domain, (3) show that choices to seek negative feedback and to revise correlate with in-game performance, and most importantly, (4) show that choices correlate with in-school achievement: the choice to revise correlated with both in-school performance measures (Science and Mathematics grades), while the choice to seek negative feedback correlated with students’ prior standardized scores in Mathematics.
2012 PHYSICS EDUCATION RESEARCH CONFERENCE | 2013
Nicole R. Hallinen; Min Chi; Doris B. Chin; Joe Prempeh; Kristen Pilner Blair; Daniel L. Schwartz
Cognitive developmental psychology often describes children’s growing qualitative understanding of the physical world. Physics educators may be able to use the relevant methods to advantage for characterizing changes in students’ qualitative reasoning. Siegler developed the “rule assessment” method for characterizing levels of qualitative understanding for two factor situations (e.g., volume and mass for density). The method assigns children to rule levels that correspond to the degree they notice and coordinate the two factors. Here, we provide a brief tutorial plus a demonstration of how we have used this method to evaluate instructional outcomes with middle-school students who learned about torque, projectile motion, and collisions using different instructional methods with simulations.
Journal of Educational Psychology | 2011
Daniel L. Schwartz; Catherine C. Chase; Marily A. Oppezzo; Doris B. Chin
Journal of Science Education and Technology | 2009
Catherine C. Chase; Doris B. Chin; Marily A. Oppezzo; Daniel L. Schwartz
Educational Technology Research and Development | 2010
Doris B. Chin; Ilsa M. Dohmen; Britte H. Cheng; Marily A. Oppezzo; Catherine C. Chase; Daniel L. Schwartz
Archive | 2008
Daniel L. Schwartz; Catherine C. Chase; Doris B. Chin; Marily A. Oppezzo; Henry Kwong; Sandra Y. Okita; Rod D. Roscoe; Hoyeong Jeong; John Wagster; Gautam Biswas
IEEE Transactions on Learning Technologies | 2013
Doris B. Chin; Ilsa M. Dohmen; Daniel L. Schwartz
Journal of learning Analytics | 2015
Maria Cutumisu; Kristen Pilner Blair; Doris B. Chin; Daniel L. Schwartz
2015 ASEE Annual Conference & Exposition | 2015
Luke David Conlin; Doris B. Chin; Kristen Pilner Blair; Maria Cutumisu; Daniel L. Schwartz
Technology, Knowledge, and Learning | 2016
Doris B. Chin; Kristen Pilner Blair; Daniel L. Schwartz