Page 195 - Getting the Picture Modeling and Simulation in Secondary Computer Science Education

Müller, B., Balbi, S., Buchmann, C. M., Sousa, L. D., Dressler, G., Groeneveld, J., Klassert, C. J., Le, Q. B., Millington, J. D., & Nolzen, H. (2014). Standardised and transparent model descriptions for agent- based models: Current status and prospects. Environmental Modelling & Software, 55, 156–163.
Naylor, T. H., & Finger, J. M. (1967). Verification of computer simulation models. Management science, 14(2), 101.
Nicolaou, C. T., & Constantinou, C. P. (2014). Assessment of the modeling competence: A systematic review and synthesis of empirical research. Educational Research Review, 13, 52–73.
Odell, J. J., Parunak, H. V. D., & Bauer, B. (2000). Representing agent interaction protocols in UML. International Workshop on Agent-Oriented Software Engineering, 121–140.
Opdracht vernieuwingscommissie informatica 2014-2015. (2014). Ministry of Education, Netherlands.
Overveld, K. V., Borghuis, T., & Berkum, E. van. (2015). From Problems to Numbers and Back. Eindhoven University of Technology.
Papaevripidou, M., Nicolaou, C. T., & Constantinou, C. P. (2014). On defining and assessing learners’ modeling competence in science teaching and learning. Annual Meeting of American Educational Research Association (AERA), Philadelphia, Pennsylvania, USA.
Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books, Inc.
Park, Y.-S., & Green, J. (2019). Bringing Computational Thinking into Science Education. Journal of the Korean Earth Science Society, 40(4), 340–352. https://doi.org/10.5467/JKESS.2019.40.4.340
Pea, R. D., & Kurland, D. M. (1984). On the cognitive effects of learning computer programming. New ideas in psychology, 2(2), 137–168.
Pears, A., Barendsen, E., Dagienė, V., Dolgopolovas, V., & Jasutė, E. (2019). Holistic STEAM education through computational thinking: A perspective on training future teachers. International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, 41–52.
Perković, L., Settle, A., Hwang, S., & Jones, J. (2010). A framework for computational thinking across the curriculum. Proceedings of the fifteenth annual conference on Innovation and technology in computer science education, 123–127.
Perrenet, J., & Zwaneveld, B. (2012). The many faces of the mathematical modeling cycle. Journal of Mathematical Modelling and Application, 1(6), 3–21.
Pfefferova, M. S. (2015). Computer Simulations and their Influence on Students’ Understanding of Oscillatory Motion. Informatics in Education, 14(2), 279–289.
Polya, G. (2008). How to solve it: A new aspect of mathematical method. Princeton University Press.
Qian, Y., & Lehman, J. (2017). Students’ Misconceptions and Other Difficulties in Introductory Programming: A Literature Review. ACM Trans.Comput.Educ., 18(1), 1:24. https://doi.org/10.1145/3077618
Qin, H. (2009). Teaching computational thinking through bioinformatics to biology students. Proceedings of the 40th ACM technical symposium on Computer science education, 188–191.
Rahimi, E., Barendsen, E., & Henze, I. (2016). Typifying Informatics Teachers’ PCK of Designing Digital Artefacts in Dutch Upper Secondary Education. International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, 65–77.
Rand, W., & Wilensky, U. (2006). Verification and validation through replication: A case study using Axelrod and Hammond’s ethnocentrism model. North American Association for Computational Social and Organization Sciences (NAACSOS), 1–6.
Robins, A., Rountree, J., & Rountree, N. (2003). Learning and teaching programming: A review and discussion. Computer science education, 13(2), 137–172.
Román-González, M., Moreno-León, J., & Robles, G. (2017). Complementary tools for computational thinking assessment. Proceedings of International Conference on Computational Thinking Education (CTE 2017), S. C Kong, J Sheldon, and K. Y Li (Eds.). The Education University of Hong Kong, 154– 159.
Rumbaugh, J., Jacobson, I., & Booch, G. (2004). Unified modeling language reference manual, the. Pearson R Higher Education.
Ruthmann, A., Heines, J. M., Greher, G. R., Laidler, P., & Saulters, I. I. (2010). Teaching computational thinking through musical live coding in scratch. Proceedings of the 41st ACM technical symposium on Computer science education, 351–355.
References
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