Direct and Unobtrusive Measures of Informal STEM Education Outcomes
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[1] R. Nisbett,et al. Undermining children's intrinsic interest with extrinsic reward: A test of the "overjustification" hypothesis. , 1973 .
[2] C. Sneider,et al. Summative Evaluation of a Participatory Science Exhibit. , 1979 .
[3] C. Achilles,et al. Evaluation: A Systematic Approach , 1980 .
[4] S. Bitgood,et al. PRINCIPLES OF EXHIBIT DESIGN , 1987 .
[5] R. Shavelson. Performance Assessment in Science , 1991 .
[6] M. A. Scheirer,et al. Guiding Principles for Evaluators , 1995 .
[7] Beverly Serrell,et al. Exhibit Labels: An Interpretive Approach , 1996 .
[8] B. Serrell. Paying Attention: Visitors and Museum Exhibitions , 1998 .
[9] K. Taylor,et al. Accessing Problem-Solving Strategy Knowledge: The Complementary Use of Concurrent Verbal Protocols and Retrospective Debriefing. , 2000 .
[10] E. Deci,et al. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. , 2000, The American psychologist.
[11] Mark Wilson,et al. From Principles to Practice: An Embedded Assessment System , 2000 .
[12] R. Shavelson,et al. ON THE “EXCHANGEABILITY” OF HANDS-ON AND COMPUTER- SIMULATED SCIENCE PERFORMANCE ASSESSMENTS , 2000 .
[13] W. Shadish,et al. Experimental and Quasi-Experimental Designs for Generalized Causal Inference , 2001 .
[14] R. Glaser,et al. Knowing What Students Know: The Science and Design of Educational Assessment , 2001 .
[15] Y. Lincoln,et al. Scientific Research in Education , 2004 .
[16] K. Crowley,et al. Learning conversations in museums , 2002 .
[17] R. Almond,et al. Focus Article: On the Structure of Educational Assessments , 2003 .
[18] Doris B. Ash. Dialogic inquiry in life science conversations of family groups in a museum , 2003 .
[19] Jacqueline P. Leighton. Avoiding Misconception, Misuse, and Missed Opportunities: The Collection of Verbal Reports in Educational Achievement Testing , 2005 .
[20] K. A. Ericsson,et al. Protocol Analysis and Expert Thought: Concurrent Verbalizations of Thinking during Experts' Performance on Representative Tasks , 2006 .
[21] Pamela R. Aschbacher,et al. Fifth Graders' Science Inquiry Abilities: A Comparative Study of Students in Hands-On and Textbook Curricula. , 2006 .
[22] Miki K. Tomita,et al. On the Impact of Curriculum-Embedded Formative Assessment on Learning: A Collaboration between Curriculum and Assessment Developers , 2008 .
[23] R. Shavelson,et al. Direct Measures in Environmental Education Evaluation: Behavioral Intentions versus Observable Actions , 2009 .
[24] G. Hein. Learning Science in Informal Environments: People, Places, and Pursuits , 2009 .
[25] Kerry Bronnenkant,et al. Timing and Tracking: Unlocking Visitor Behavior , 2009 .
[26] Daniel L. Schwartz,et al. Measuring What Matters Most: Choice-Based Assessments for the Digital Age , 2013 .
[27] Janice D. Gobert,et al. From Log Files to Assessment Metrics: Measuring Students' Science Inquiry Skills Using Educational Data Mining , 2013, Journal of the Learning Sciences.
[28] Jay P. Greene,et al. Learning to Think Critically , 2014 .
[29] Joshua P. Gutwill,et al. Research to Practice: Observing Learning in Tinkering Activities , 2015 .
[30] J. Lemke,et al. Documenting and Assessing Learning in Informal and Media-Rich Environments , 2015 .
[31] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[32] K. Peterman,et al. Embedded Assessment as an Essential Method for Understanding Public Engagement in Citizen Science , 2016 .
[33] R. Shavelson,et al. Room for Rigor: Designs and Methods in Informal Science Education Evaluation , 2016 .
[34] Matthew Berland,et al. Modeling Visitor Behavior in a Game-Based Engineering Museum Exhibit with Hidden Markov Models , 2016, EDM.
[35] Leilah Lyons,et al. DCLM framework: understanding collaboration in open-ended tabletop learning environments , 2017, Int. J. Comput. Support. Collab. Learn..
[36] K. Peterman,et al. Exploring Embedded Assessment to Document Scientific Inquiry Skills Within Citizen Science , 2017 .
[37] R. Shavelson,et al. Assessment of Learning Outcomes in Higher Education , 2017 .
[38] Matthew Berland,et al. Constructivist Analytics: Using Data to Enable Deeper Museum Experiences for More Visitors—Lessons from the Learning Sciences , 2017 .
[39] David Reitter,et al. Toward Cognitively Constrained Models of Language Processing: A Review , 2017, Front. Commun..
[40] Lærke Mygind,et al. Reviewing Automated Sensor-Based Visitor Tracking Studies: Beyond Traditional Observational Methods? , 2017 .
[41] N. Nolan. From Nice to Necessary: Lessons from Identifying and Supporting Productive STEM Programs in Out-of-school Settings , 2017 .
[42] S. Spicer. The nuts and bolts of evaluating science communication activities. , 2017, Seminars in cell & developmental biology.
[43] A. Grand,et al. What Works in the Field? Evaluating Informal Science Events , 2017, Front. Commun..
[44] R. Shavelson,et al. International Performance Assessment of Learning in Higher Education (iPAL): Research and Development , 2018 .