A science learning environment using a computational thinking approach

Proceedings of the 20th International Conference on Computers in Education, ICCE 2012

Volumn , Issue , 2012, Pages 722-729

  Basu, Satabdi ^a   Kinnebrew, John S ^a   Dickes, Amanda ^a   Farris, Amy Voss ^a   Sengupta, Pratim ^a   Winger, Jaymes ^a   Biswas, Gautam ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

Agent based modeling; Computational thinking; Inquiry learning; Scaffolding; Simulation; Visual programming

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER AIDED INSTRUCTION; COMPUTER PROGRAMMING; COMPUTER SIMULATION; FISH; SCAFFOLDS;

AGENT-BASED MODEL; COMPUTATIONAL THINKINGS; INQUIRY LEARNING; SCAFFOLDING; SIMULATION; VISUAL PROGRAMMING;

STUDENTS;

EID: 84876067339     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Basu, S., & Biswas, G. (2011). Multiple Representations to Support Learning of Complex Ecological Processes in Simulation Environments. In Proceedings of the 19th International Conference on Computers in Education. Chiang Mai, Thailand.
2. Blikstein P. & Wilensky, U. (2009). An Atom is Known by the Company it Keeps: A Constructionist Learning Environment for Materials Science Using Agent-Based Modeling. Int Jounal of Computers for Math Learning, 74: 81-119.
3. di Sessa, A., Hammer, D., Sherin, B., and Kolpakowski, T. (1991). Inventing Graphing: Meta Representational Expertise in Children. Journal of Mathematical Behavior, 10, 117-160.
4. Guzdial, M. (1994). Software-realized scaffolding to facilitate programming for science learning. Interactive Learning Environments, 4(1), 1-44.
5. Hambrusch, S., Hoffmann, C, Korb, J.T., Haugan, M., and Hosking, A.L. (2009). A multidisciplinary approach towards computational thinking for science majors. In Proceedings of the 40th ACM technical symposium on Computer science education. ACM, New York, NY, USA, 183-187
6. Harel, I. & Papert, S. (1991). Software design as a learning environment. Constructionism, 51-52.
7. Krajcik, J., McNeill, K. L. & Reiser, B. (2008). Learning-goals- driven design model: Curriculum materials that align with national standards and incorporate project-based pedagogy. Science Education, 92(1), 1-32.
8. Kynigos, C. (2007). Using half-baked microworlds to challenge teacher educators' knowing, Journal of Computers for Math Learning, 12(2), 87-111.
9. Lehrer, R., Schäuble, L., & Lucas, D. (2008). Supporting development of the epistemology of inquiry. Cognitive Development, 23 (4), 512-529.
10. NRC (2010). Report of a Workshop on The Scope and Nature of Computational Thinking.
11. Sengupta, P., Kinnebrew, J., Biswas, G., and Clark, D. (2012). Integrating Computational Thinking with K-12 Science Education: A Theoretical Framework. Proceedings of the 4th International Conference on Computer Supported Education
12. Sengupta, P., & Farris, A.V. (2012). Learning Kinematics in Elementary Grades Using Agent-based Computational Modeling: A Visual Programming Based Approach. In Proceedings of the 11th International Conference on Interaction Design & Children, pp 78-87.
13. Sengupta, P., Farris, A.V., & Wright, M. (2012). From Agents to Continuous Change via Aesthetics: Learning Mechanics with Visual Agent-based Computational Modeling. Technology, Knowledge & Learning. Vol. 17 (1-2), pp 23-42.
14. Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
15. Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society, Vol. 366, pp.