Vol. 8 No. 1 (2022): January
Open Access
Peer Reviewed

Computational Thinking: Students’ Abstraction on the Concepts of Kinematics

Authors

DOI:

10.29303/jppipa.v8i1.1188

Published:

2022-01-08

Downloads

Abstract

Abstraction is the primary key in computational thinking. This study aims to analyze students’ computational thinking skills of abstraction on the concept of kinematics. The data were collected through students’ project documents and interviews. The data is examined using a content analysis approach that emphasizes writing, verbal, or visual communication. The results revealed that students’ abstraction skills were evident in collecting data and analyzing, and recognizing patterns but were less visible in building models or simulations. Abstraction skills can be used as a foundation and framework for viewing a concept in physics not only in mathematics or formulas views but as a data iterative relationship. This research is expected to provide an overview for physics instructors to integrate computational thinking in their learning classroom

Keywords:

Abstraction Computational Thinking Kinematics Physics Learning Outcomes

References

Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12. ACM Inroads, 2(1), 48–54. https://doi.org/10.1145/1929887.1929905

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. Proceeding of the 2012 Annual Meeting of the American Educational Research Association.

Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. In Educational Research (Vol. 4). https://doi.org/10.1017/CBO9781107415324.004

Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational thinking - a guide for teachers Swindon. Computing at School 18pp. Retrieved from: https://eprints.soton.ac.uk/424545/

Ehsan, H., Rehmat, A. P., & Cardella, M. E. (2020). Computational thinking embedded in engineering design: capturing computational thinking of children in an informal engineering design activity. International Journal of Technology and Design Education 2020 31:3, 31(3), 441–464. https://doi.org/10.1007/S10798-020-09562-5

Eisenberg, M. (2002). Output Devices, Computation, and the Future of Mathematical Crafts. International Journal of Computers for Mathematical Learning 2002 7:1, 7(1), 1–44. https://doi.org/10.1023/A:1016095229377

Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107–115. https://doi.org/10.1111/J.1365-2648.2007.04569.X

Grover, S., & Basu, S. (2017). Measuring Student Learning in Introductory Block-Based Programming: Examining Misconceptions of Loops, Variables, and Boolean Logic. Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education. https://doi.org/10.1145/3017680

Grover, S., & Pea, R. (2013). Computational Thinking in K–12: A Review of the State of the Field. Educational Researcher, 42(1), 38–43. https://doi.org/10.3102/0013189X12463051

Guzdial, M. (2008). EducationPaving the way for computational thinking. Communications of the ACM, 51(8), 25–27. https://doi.org/10.1145/1378704.1378713

Hambrusch, S., Hoffmann, C., Korb, J. T., Haugan, M., & Hosking, A. L. (2009). A Multidisciplinary Approach Towards Computational Thinking for Science Majors *. http://secant.cs.purdue.edu/cs190c:projects.

Johnson, R. B., & Christensen, L. B. (2013). Educational research: Quantitative, qualitative, and mixed approaches (5 edition). SAGE Publications, Inc.

Jona, K., Wilensky, U., Trouille, L., Horn, M., Orton, K., Weintrop, D., & Beheshti, E. (2014). Embedding Computational Thinking in Science, Technology, Engineering, and Math (CT-STEM). In Future Direction in Computer Science Education Summit Meeting.

Lee, I., Martin, F., Denner, J., Coulter, B., Allan, W., Erickson, J., Malyn-Smith, J., & Werner, L. (2011). Computational thinking for youth in practice. ACM Inroads, 2(1), 32–37. https://doi.org/10.1145/1929887.1929902

Li, Y., Schoenfeld, A. H., diSessa, A. A., Graesser, A. C., Benson, L. C., English, L. D., & Duschl, R. A. (2020). On Computational Thinking and STEM Education. Journal for STEM Education Research 2020 3:2, 3(2), 147–166. https://doi.org/10.1007/S41979-020-00044-W

Lin, C. C., Zhang, M., Beck, B., & Olsen, G. (2009). Embedding computer science concepts in K-12 science curricula. SIGCSE’09 - Proceedings of the 40th ACM Technical Symposium on Computer Science Education, 539–543. https://doi.org/10.1145/1508865.1509050

Orban, C. M., & Teeling-Smith, R. M. (2020). Computational Thinking in Introductory Physics. The Physics Teacher, 58(4), 247. https://doi.org/10.1119/1.5145470

Özkök, G. A. (2021). Fostering Computational Thinking Through Data Visualization and Design on Secondary School Students. JUCS - Journal of Universal Computer Science, 27(3), 285–302. https://doi.org/10.3897/jucs.66265

Sengupta, P., Kinnebrew, J. S., Basu, S., Biswas, G., & Clark, D. (2013). Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework. Education and Information Technologies, 18(2), 351–380. https://doi.org/10.1007/S10639-012-9240-X

Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158. https://doi.org/10.1016/J.EDUREV.2017.09.003

Standl, B. (2017). Solving everyday challenges in a computational way of thinking. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10696 LNCS(December), 180–191. https://doi.org/10.1007/978-3-319-71483-7_15

Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining Computational Thinking for Mathematics and Science Classrooms. Journal of Science Education and Technology, 25(1), 127–147. https://doi.org/10.1007/S10956-015-9581-5

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215

Xu, Z. W., & Tu, D. D. (2011). Three new concepts of future computer science. Journal of Computer Science AND Technology, 26(4), 616–624. https://doi.org/10.1007/s11390-011-1161-4

Yin, Y., Hadad, R., Tang, X., & Lin, Q. (2019). Improving and Assessing Computational Thinking in Maker Activities: the Integration with Physics and Engineering Learning. Journal of Science Education and Technology 2019 29:2, 29(2), 189–214. https://doi.org/10.1007/S10956-019-09794-8

Author Biographies

Rif'ati Dina Handayani, University of Jember

Author Origin : Indonesia

Sri Handono Budi Prastowo, University of Jember

Author Origin : Indonesia

Trapsilo Prihandono, University f Jember

Author Origin : Indonesia

Lailatul Nuraini, University of Jember

Author Origin : Indonesia

Bambang Supriadi, Universitas Jember

Author Origin : Indonesia

Maryani Maryani, Universitas Jember

Author Origin : Indonesia

Singgih Bektiarso, University of Jember

Author Origin : Indonesia

Albertus Djoko Lesmono Lesmono, University of Jember

Author Origin : Indonesia

I Ketut Mahardika, University of Jember

Author Origin : Indonesia

Downloads

Download data is not yet available.

How to Cite

Handayani, R. D., Prastowo, S. H. B. ., Prihandono, T. ., Nuraini, L. ., Supriadi, B. ., Maryani, M., … Mahardika, I. K. . (2022). Computational Thinking: Students’ Abstraction on the Concepts of Kinematics . Jurnal Penelitian Pendidikan IPA, 8(1), 114–118. https://doi.org/10.29303/jppipa.v8i1.1188