galaxies

  What would students see in this image? What would our theories from cognitive science predict?
 


Overview

Science education is an opportunity to build new theories of learning and rigorously test existing theories of learning. In one project, we are developing new theoretical models for the long-term development of engagement with a content area (science, as career, as avocation, as way of thinking). In the other project, we are testing the strength of cognitive science theories by putting them to the test of systematically modifying science curricula according to core cognitive science principles.

   
         
 
Recent Results
  • Cognitive science principles can be used to systematically upgrade existing science curricula in middle school to produce better learning outcomes.
  • A mixture of skills, knolwedge, and dispositions are required to produce science learners who choose optional science learning experiences, engage more productively during those science learning experiences (both in schools and in informal learning contexts), and learn more science content.
   
   

 

 

   
 
The Team
   
       
 
Schunn Lab: Meghan Bathgate, Li Sha, Lou Alfieri
   
 
Collaborators: Rena Dorph (UC Berkeley), Mac Cannady (UC Berkeley), Patrick Sheilds (SRI), Rip Correnti, Kevin Crowley, Liz Richey, Kalyani Raghavan, Mary Sartoris, Jennifer Cromley, Joe Merlino, Nora Newcombe, Andy Porter, Laura Desimone
   
           

 

FOSS

 

The kind of hands-on science kits that we will try to improve through cognitive science principle-based modifications
 

 
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Current Projects

Science Learning Activation Lab (ActLab). The Science Learning Activation Lab is a national research and design effort to learn and demonstrate how to activate children in ways that ignite persistent engagement in science learning and inquiry. Led by the Learning Research Development Center at the University of Pittsburgh, the Lawrence Hall of Science at the University of California Berkeley, and SRI, International, the Lab is conducting research to identify the characteristics of young children that are predictive of successful science learning and future participation in science, as well as to design learning environments that promote such outcomes. Working with a team of national experts, the Activation Lab has developed a theoretical framework to guide our investigation in systematic ways across learning settings. Our research will explore and define the elements of an activated learner, the trajectory of predicted outcomes, and the learning experiences that support or maintain activation. Video about the expanding work in Pittsburgh

The 21st Century Research and Development Center on Cognition and Science Education. Can we improve science education through cognitive science principles of learning? Cognitive science has now been around for 40 yrs as a strong discipline. Have we progressed far enough to make a difference in real world applications? ln this center-level effort, we team across Pitt, Penn, and Temple to systematically modify and test our cognitive-science based modifications to popular instances of hands-on and textbook based middle school science curricula and then conduct large scale efficacy trials of the resulting materials.

 


   
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Publications
   
 
  • Bathgate, M., Schunn, C. D., Correnti, R. J. (In press). Children’s motivation towards science across contexts, manner-of-interaction, and topic. Science Education.
  • Crowell, A. J., & Schunn, C. D. (In press). The context-specificity of scientifically literate action: key barriers and facilitators across contexts and contents. Public Understanding of Science.
  • Alfieri, L., Nokes, T. N., & Schunn, C. D. (2013). Learning through case comparisons: a meta-analytic review. Educational Psychologist, 48(2), 87-113. pdf
  • Singh, C., & Schunn, C. D. (2009). Connecting three pivotal concepts in K-12 science state standards and maps of conceptual growth to research in physics education. Journal of Physics Teacher Education Online, 5(2), 16-28. pdf
  • Schunn, C. D. & Nelson, M. M. (2009). Expert-novice studies: An educational perspective. To appear in Eric Anderman (Ed.), Psychology of Classroom Learning: An Encyclopedia. Detroit, MI: Macmillan Reference.
  • Moin, L., Dorfield, J., & Schunn, C. D. (2005). Where can we find future K-12 science & math teachers? A search by academic year, discipline, and achievement level. Science Education, 89(6), 980-1006. pdf
  • Crowley, K., Schunn, C.D., & Okada, T. (Eds.) (2001). Designing for Science: Implications from Professional, Instructional, and Everyday Science. Mahwah, NJ: Erlbaum.
  • Schunn, C. D., & Anderson, J. R. (2001). Science education in universities: Explorations of what, when, and how. In K. Crowley, C.D. Schunn, & T. Okada (Eds.), Designing for Science: Implications from Professional, Instructional, and Everyday Science. Mahwah, NJ: Erlbaum.
  • Schunn, C. D., & Anderson, J. R. (1999). The generality/specificity of expertise in scientific reasoning. Cognitive Science, 23(3), 337-370. pdf