Design and Implementation of a Programming Automatic Assessment System in Jupyter Notebook
How to cite (IJASEIT) :
Lee, D., Hwang, J. Y., Lee, Y., and Kim, S. W, “Informatics and Artificial Intelligence (AI) Education in Korea: Situation Analysis Using the Darmstadt Model”. JOIV: International Journal on Informatics Visualization., vol. 6(2), pp. 427-444, 2022, DOI: 10.30630/joiv.6.2.1000.
Shin, S., and Bae, Y, “A Study on the Hierarchical Instructional System Design of Software Education by School System,” Journal of The Korean Association of Information Education, vol. 19(4), pp. 533-544, 2015, DOI: 10.14352/jkaie.2015.19.4.533.
Wing, J. M, “Computational thinking,” Communications of the ACM, vol. 49(3), pp. 33-35, 2006, DOI:10.1145/1118178.1118215.
Lee, Y. J., Paik, S. H., Shin, J. H., You, H. C., Jeong, I. G., Ahn, S. J., and Jeon, S. G, “Research for introducing computational thinking into primary and secondary education,” Korea Foundation for the Advancement of Science and Creativity, BD14060010, 2014.
C. Cachero, P. Barra, S. Melií¡ and O. López, “Impact of Programming Exposure on the Development of Computational Thinking Capabilities: An Empirical Study,” IEEE, vol. 8, pp. 72316-72325, 2020, DOI: 10.1109/ACCESS.2020.2987254.
Kim, J. M, “Problem-solving skills based on computing thinking,” Korea Information Processing Society Review, vol. 24(2), pp. 13-21, 2017.
Durak, H. Y., Yilmaz, F. G. K., and Yilmaz, R, “Computational thinking, programming self-efficacy, problem solving and experiences in the programming process conducted with robotic activities,” Contemporary Educational Technology, vol. 10(2), pp. 173-197, 2019, DOI:10.30935/cet.554493.
Malmi, L., Utting, I., and Ko, A, “Tools and Environments,” In S. Fincher & A. Robins (Eds.), The Cambridge Handbook of Computing Education Research. Cambridge, United Kingdom, pp. 173-197, 2019, doi:10.1017/9781108654555.022.
Ramírez-Echeverry, J. J., Restrepo-Calle, F., and Gonzí¡lez, F. A., “A case study in technologyenhanced learning in an introductory computer programming course,” Global Journal of Engineering Education, vol. 24(1), pp. 65-71, 2022.
Ullah, Z., Lajis, A., Jamjoom, M., Altalhi, A., Al”Ghamdi, A., and Saleem, F, “The effect of automatic assessment on novice programming: Strengths and limitations of existing systems,” Computer Applications in Engineering Education, vol. 26(6), pp. 2328-2341, 2018, DOI: 10.1002/cae.21974.
Kurnia, A., Lim, A., & Cheang, B, “Online judge,” Computers & Education, vol 36(4), pp. 299-315, 2001, DOI: 10.1016/S0360-1315(01)00018-5.
Rahmani, A., and Min, J. L, “Automatic Grading System to Supporting Blended Learning in Basic Programming Practice-an Experience Report,” In International Conference on Online and Blended Learning 2019 (ICOBL 2019), pp. 96-101, Atlantis Press, DOI: 10.2991/assehr.k.200521.020.
Cardoso, A., Leití£o, J. and Teixeira, C, “The Challenges of the Digital Transformation in Education,” Proceedings of the 21st International Conference on Interactive Collaborative Learning (ICL2018), vol. 2, pp. 227-236, DOI: 10.1007/978-3-030-11935-5_22.
Wang, J., Kuo, T. Y., Li, L., and Zeller, A, “Assessing and restoring reproducibility of Jupyter notebooks,” In Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, pp. 138-149, 2020, DOI: 10.1145/3324884.3416585.
Ochkov, V. F., Stevens, A., and Tikhonov, A. I, "Jupyter Notebook, JupyterLab-Integrated Environment for STEM Education," In 2022 VI International Conference on Information Technologies in Engineering Education (Inforino), pp, 1-5, 2022, DOI: 10.1109/Inforino53888.2022.9782924.
Cardoso, A., Leití£o, J., and Teixeira, C, "Using the Jupyter Notebook as a Tool to Support the Teaching and Learning Processes in Engineering Courses," In: Auer, M., Tsiatsos, T. (eds) The Challenges of the Digital Transformation in Education. ICL 2018. Advances in Intelligent Systems and Computing, Springer, Cham, vol 917, 2019 DOI: 10.1007/978-3-030-11935-5_22.
Gonzí¡lez-Carrillo, C. D., Restrepo-Calle, F., Ramírez-Echeverry, J. J., and Gonzí¡lez, F. A, “Automatic grading tool for jupyter notebooks in artificial intelligence courses,” Sustainability, vol. 13(21), pp. 12050, 2021, DOI: 10.3390/su132112050.
Zamfir, F. S. and Pricop, E, “On the design of an interactive automatic Python programming skills assessment system,” 2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), pp. 1-5, 2022, DOI: 10.1109/ecai54874.2022.9847414.
Chang, W. Y. and Kim, S. S, “A review on trends of programming(algorithm) automated assessment system and it`s application”, The Journal of Korean Association of Computer Education, vol. 20(1), pp. 13-26, 2017.
Han, S., Liu, X., and Woo G., "Evaluation Methods and Classification of Online Judge Systems Based on Education Level and Purpose," KIISE Transactions on Computing Practices, vol.28(10), vol.487-492, 2022, DOI: 10.5626/KTCP.2022.28.10.487.
Ministry of Education, “Informatics Science Guidelines”, 2015.
Chang, W. Y., and Kim, S. S, “Development and application of algorithm judging system: analysis of effects on programming learning.” The Journal of Korean Association of Computer Education, vol. 17(4), pp. 45-57, 2014.
Jeong, S. S, “The effects of programming education using an automatic programming assessment system on learning flow of general high school students” M.S. thesis, Dept. Computer Education, Graduate School of Korea National University of Education., Cheongju, Korea, 2019.
Johnson, J. W, “Benefits and pitfalls of jupyter notebooks in the classroom,” In Proceedings of the 21st Annual Conference on Information Technology Education, pp. 32-37, 2020, DOI: 10.1145/3368308.3415397.
Zhao, P., and Xia, J, “Use JupyterHub to Enhance the Teaching and Learning Efficiency of Programming Related Courses,” 23rd International Conference on ISO & TQM, Florida, USA, pp.1-6, 2019.
Klever, N., “Jupyter Notebook, JupyterHub and Nbgrader. Becoming Greener—Digitalization in My Work”, The Publication Series of LAB University of Applied Sciences, pp. 37-43, 2020.
Blank, D. S., Bourgin, D., Brown, A., Bussonnier, M., Frederic, J., G ranger, B., and Willing, C, “nbgrader: A tool for creating and grading assignments in the Jupyter Notebook”, The Journal of Open Source Education, vol. 2(11), 2019, DOI: 10.21105/jose.00032.
Barba, L. A., Barker, L. J., Blank, D. S., Brown, J., Downey, A. B., George, T., ... and Zingale, M., “Teaching and learning with Jupyter,” Recuperado: https://jupyter4edu. github. io/jupyter-edu-book, 2019.
Go, H., and Lee, Y, “Exploring how to present the problem of Automatic Assessment system in Jupyter Notebook,” Proceedings of the Korean Society of Computer Information Conference, vol. 31(1), pp. 221-222, 2022.
Gyeonggi Science High School Informatics Teachers, Problems. [Online]. available: http://koistudy.net/?mid=viewProblems (accessed: October 1st, 2022).
Han. G. W, Go. G. S, Kim. E. K, Lim. S. K, Jeon. H. S, Jeong. S. S, Jeong. W.Y, Jeong. J. K, Jeong. J. W, and Jo. H. J, “[2015 Revised-- High School] Informatics Guide,” Seoul, Korea: SamYangMedia, 2019.
Gupta, A., and Pathania, P., “To study the impact of Google Classroom as a platform of learning and collaboration at the teacher education level,” Education and Information Technologies, vol. 26(1), pp. 843-857, 2021.
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