“It Must Include Rules”: Middle School Students’ Computational Thinking with Computer Models in Science

作者: Marcia C. Linn , Eliane S. Wiese

DOI: 10.1145/3415582

关键词: Term (time)OperationalizationComputational thinkingMeaning (linguistics)Mathematics educationPsychologyScientific modellingPhenomenonScience classSample (statistics)

摘要: When middle school students encounter computer models of science phenomenon in class, how do they think those work? Computer operationalize real-world behaviors selected variables, and can simulate interactions between the modeled elements through programmed instructions. This study explores about high-level semantic meaning instructions, which we term rules. To investigate this aspect students’ computational thinking, developed Computational Modeling Inventory administered it to 253 7th grade students. The included three that interacted with during assessment. In our sample, 99% identified at least one key rule underlying a model, but only 14% all rules; 65% believed model rules contradict; 98% could not distinguish emergent patterns directly resulted from Despite these misconceptions, compared “typical” questions content alone, elicited deeper 2--10 times more responses including reasoning scientific mechanisms. These results suggest incorporating thinking instruction into courses might yield learning precise assessments around models.

参考文章(52)
Alan Cooper, Three Models of Computer Software. Technical Communication: Journal of the Society for Technical Communication. ,vol. 43, ,(1996)
Donald A. Norman, The Design of Everyday Things ,(1988)
David Weintrop, Elham Beheshti, Michael Horn, Kai Orton, Kemi Jona, Laura Trouille, Uri Wilensky, Defining Computational Thinking for Mathematics and Science Classrooms Journal of Science Education and Technology. ,vol. 25, pp. 127- 147 ,(2016) , 10.1007/S10956-015-9581-5
Hsin-Yi Chang, Marcia C. Linn, Scaffolding learning from molecular visualizations Journal of Research in Science Teaching. ,vol. 50, pp. 858- 886 ,(2013) , 10.1002/TEA.21089
Fritz Heider, Marianne Simmel, An experimental study of apparent behavior American Journal of Psychology. ,vol. 57, pp. 243- 259 ,(1944) , 10.2307/1416950
Christina V. Schwarz, Barbara Y. White, Metamodeling Knowledge: Developing Students' Understanding of Scientific Modeling Cognition and Instruction. ,vol. 23, pp. 165- 205 ,(2005) , 10.1207/S1532690XCI2302_1
Juha Sorva, Notional machines and introductory programming education ACM Transactions on Computing Education. ,vol. 13, pp. 1- 31 ,(2013) , 10.1145/2483710.2483713
Alexander Repenning, David C. Webb, Kyu Han Koh, Hilarie Nickerson, Susan B. Miller, Catharine Brand, Ian Her Many Horses, Ashok Basawapatna, Fred Gluck, Ryan Grover, Kris Gutierrez, Nadia Repenning, Scalable Game Design: A Strategy to Bring Systemic Computer Science Education to Schools through Game Design and Simulation Creation ACM Transactions on Computing Education. ,vol. 15, pp. 11- ,(2015) , 10.1145/2700517
David Klahr, Sharon McCoy Carver, Cognitive objectives in a LOGO debugging curriculum: Instruction, learning, and transfer ☆ Cognitive Psychology. ,vol. 20, pp. 362- 404 ,(1988) , 10.1016/0010-0285(88)90004-7