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Session Type: Structured Poster Session
Eleven education researchers present their work exploring and assessing STEM learning skills and strategies in formal learning environments. Content areas range from engineering and design to computational thinking to scientific problem-solving. In each project, researchers study learner engagement in a STEM context, which includes a problem and resources, to gain insight about development and transfer of learning skills and practices. Many projects employ a “preparation for future learning” paradigm (Bransford & Schwartz, 1999). Projects highlight instruction and assessment across a variety of ages, and using a diverse array of tools (e.g., online simulations and in-class design challenges). In addition, the session provides an opportunity to facilitate conversations and collaborations between researchers, and provide feedback and guidance to early-career scholars.
Assessing the Upper Elementary Next Generation Science Standards Engineering Performance Expectations Independently of the Natural Science Disciplines - Kevin McElhaney, Digital Promise; Satabdi Basu, SRI International; Elizabeth McBride, SRI International; Reina Fujii, SRI International; Jennifer L. Chiu, University of Virginia; Anne M McAlister, University of Virginia
Improving Scientific Problem Solving Through Reflective Prompts - Shima Salehi, Stanford University; Karen D. Wang, Stanford University; Carl Wieman, Stanford University
Assessment of Expert Decision Making in Medical Diagnosis - Candice Kim, Stanford University; Argenta Price, Stanford University; Carl Wieman, Stanford University; Sharon Chen, Stanford University
Assessing Strategic Control of Variables in Context - Ido Roll, Technion Israel Institute of Technology; Sarah Perez, University of British Columbia; Jonathan Massey-Allard, University of British Columbia; Deborah L. Butler, The University of British Columbia; Joss Ives, University of the Fraser Valley; Doug Bonn, The University of British Columbia
Measuring Flexibility in a Computer-Based Exploratory Problem-Solving Environment - Helena Connolly, Teachers College, Columbia University; Catherine Chase, Teachers College of Columbia University
Using Evidence-Centered Design to Identify and Develop Transfer Tasks in Mathematics - Britte Haugan Cheng, Menlo Education Research; Jeremy Roschelle, Digital Promise Global; Pamela L. Paek; Lina Chopra Haldar, Heller Research Associates
Measurement of Computational Thinking and Computer Science Conceptual Understanding in Middle-Grades Classrooms - Eric N. Wiebe, North Carolina State University; Arif Rachmatullah, SRI International; Bita Akram, North Carolina State University; Bradford Mott, North Carolina State University; Kristy E Boyer; James Lester, North Carolina State University
Teaching and Assessing for Transfer From Block to Text Programming in Middle School Computer Science - Shuchi Grover, Looking Glass Ventures
Using Multiple Measures to Understand Science Inquiry Behaviors in Open-Ended Learning Environments in Two Countries - Ana Saavedra, Stanford University; Tanja Kaeser, Institute for Dynamic Systems and Control; Daniel L. Schwartz, Stanford University
Confidence Mediates the Relation Between Enjoyment and Performance on a Computational-Thinking Test - Maria Cutumisu, University of Alberta
Measuring Students' Transfer of Modeling and Meta-Modeling Skills Using an Online Simulation Environment - Rachel Wolf, Stanford University; Kristen Pilner Blair, Stanford University; Doris B. Chin, Stanford University