DOI QR코드

DOI QR Code

Machine Learning-Based Programming Analysis Model Proposal : Based on User Behavioral Analysis

  • Received : 2020.11.25
  • Accepted : 2020.12.01
  • Published : 2020.12.31

Abstract

The online education platform market is developing rapidly after the coronavirus infection-19 pandemic. As school classes at various levels are converted to non-face-to-face classes, interest in non-face-to-face online education is increasing more than ever. However, the majority of online platforms currently used are limited to the fragmentary functions of simply delivering images, voice and messages, and there are limitations to online hands-on training. Indeed, digital transformation is a traditional business method for increasing coding education and a corporate approach to service operation innovation strategy computing thinking power and platform model. There are many ways to evaluate a computer programmer's ability. Generally, piecemeal evaluation methods are used to evaluate results in time through coding tests. In this study, the purpose of this study is to propose a comprehensive evaluation of not only the results of writing, but also the execution process of the results, etc., and to evaluate the programmer's propensity habits based on the programmer's coding experience to evaluate the programmer's ability and productivity.

Keywords

References

  1. Hwan Soo Kang. "Design of Teaching.Learning Model for Programming Language Education." Journal of Digital Contents Society 13.4 (2012): 517-524. UCI(KEPA) : I410-ECN-0101-2014-560-002753680 https://doi.org/10.9728/dcs.2012.13.4.517
  2. Jeong Won Choi, Young Jun Lee. "The analysis of Learners' difficulties in programming Learning." The Journal of Korean Association of Computer Education 17.5 (2014): 89-98. UCI(KEPA) : I410-ECN-0101-2018-037-003274455 https://doi.org/10.32431/KACE.2014.17.5.009
  3. Jeong Won Choi, Young Jun Lee. "The analysis of Learners' difficulties in programming Learning." The Journal of Korean Association of Computer Education 17.5 (2014): 89-98. UCI410-ECN-0101-2018-037-003274455 https://doi.org/10.32431/KACE.2014.17.5.009
  4. Seung-Won Lee, Yu-Hyun Choi. "Effects of Instructing Unlugged Activities in light of Self-Regulated Learning on Computational Thinking in Elementary Practical Arts Software Education." Journal of Korean Practical Arts Education 32.2 (2019): 105-121. UCI(KEPA) : I410-ECN-0101-2019-374-000874104 https://doi.org/10.24062/kpae.2019.32.2.105
  5. Junghwan Kim, Sukjae Lee, Rohae Myung. "Analysis of text entry task pattern according to the degree of skillfulness." HCI . (2007): 1081-1086.
  6. Kim, Jae-soo, Park suho, Lee minseok, Choi jihun. "The Design and Implementation of Python Education Coding WEB." Proceedings of the Korean Society of Computer Information Conference 27.1 (2019): 331-332.