DOI QR코드

DOI QR Code

Realization of Online System Considering the Lecture Intelligibility of University Student

  • Han, ChangPyoung (Dept. of Automotive Engineering, Sangji University) ;
  • Hong, YouSik (Dept.of Information and Communication SWEngineering,Sangji University)
  • Received : 2020.06.07
  • Accepted : 2020.06.20
  • Published : 2020.08.31

Abstract

Blended learning is a teaching method utilizing all the advantages in 'on and off-line' learning circumstances in order to enhance the learning effect and efficiency, more than the simple use of online factors in the classroom education. In this paper, we present the realization and simulation of algorithm for the realtime evaluation of low-grade and high-grade subjects in order to implement smart e-learning system, considering a lecture intelligibility. In order to grasp the levels of student's intelligibility, we simulated a function that automatically summarizes the study contents of class given by a lecturer. Especially, in administrator mode of smart e-learning system, we suggested and simulated a system in order to help the lecturer to easily manage the student's grades, and we have provided software to tell the student's intelligibility of lecture, analyzed the rate of incorrect answers, automatic judgment of lecture intelligibility and judge the weakest subject.

Keywords

References

  1. https://www.zdnet.co.kr/view/?no=20190225170917
  2. Janis Kapenieks, "User-friendly e-learning Environment for Educational Action Research," Procedia Computer Science, Vol.26, pp. 121-142, 2013 https://doi.org/10.1016/j.procs.2013.12.012
  3. Y.S Cho, "Introduction to Digital Textbook Utilization Pilot Project in Korea," IMS Learning Impact 2009, IMS Global Learning Consoritum, 2009.
  4. Sarma Cakula, Maija Sedleniece, "Development of a Personalized e-learning Model Using Methods of Ontology," Procedia Computer Science, Vol 26, pp. 113-120, 2013 https://doi.org/10.1016/j.procs.2013.12.011
  5. Toshiya Nakajimaa, Shun Shinoharab, Yasuhisa Tamura, "Typical Functions of e-Textbook, implementation, and Compatibility Verification with Use of ePub3 Materials," Procedia Computer Science, Vol.22, pp.1344-1353, 2013 https://doi.org/10.1016/j.procs.2013.09.223
  6. https://www.zdnet.co.kr/view/?no=20190225170917
  7. Hong You-Sik, Intelligent Education System, The Journal of Institute of Internet, Broadcasting and Communication, Vol.13, 2013
  8. http://www.eduinnews.co.kr
  9. S.E. Jung and E.S. Won, "Systematic Review of Research Trends in Robotics Education for Young Children," Sustainability, Vol. 10, No. 4, pp. 1-24, March 2018. DOI: https://doi.org/10.3390/su10040905
  10. L, Xia and B, Zhong, "A Systematic Review on Teaching and Learning Robotics Content Knowledge in K-12," Journal of Computers & Education, Vol, 127, pp. 267-282, December 2018. DOI: https://doi.org/10.1016/j.compedu.2018.09.007
  11. D. Moher, A. Liberati, J. Tetzlaff, and D.G. Altman, "Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," Annals of Internal Medicine, Vol. 151, No. 4, 264-269, August 2009. DOI: https://doi.org/10.7326/0003-4819-151-4-200908180-00135
  12. Jung, Sung Eun , Han, Jeonghye, "A Comprehensive Review on r-Learning: Authentic r-Learning Beyond the Fad of New Educational Technology ", International journal of advanced smart convergence v.9 no.2 ,pp. 28-37, 2020 https://doi.org/10.7236/ijasc.2020.9.2.28
  13. Kim, Kenneth Chi Ho, "The Impact of Blockchain Technology on the Music Industry", International journal of advanced smart convergence v.8 no.1 ,pp. 196-203 , 2019 https://doi.org/10.7236/IJASC.2019.8.1.196
  14. J. Johnson, "Children, Robotics, and Dducation," Artificial Life and Robotics, Vol. 7, No.1-2, pp. 16-21. 2003. DOI: https://doi.org/10.1007/bf02480880
  15. D. Alimisis, "Educational Robotics: Open Questions and New Challenges," Themes in Science and Technology Education. Vol. 6, No. 1, pp. 63-71, June 2013. DOI: https://doi.org/10.1109/mipro.2015.7160399