과제정보
This Research was Supported by Kangnam University Research Grants.(2020)
참고문헌
- F. Pedro et al. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development, (Online). http://repositorio.minedu.gob.pe/handle/20.500.12799/6533
- R. Luckin & M. Cukurova, (2019). Designing educational technologies in the age of AI: A learning sciences-driven approach, British Journal of Educational Technology, 50(6), 2824-2838, https://doi.org/10.1111/bjet.12861
- N. Garrett, N. Beard & C. Fiesler. (2020). More Than 'If Time Allows' The Role of Ethics in AI Education, in Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, (pp.272-278).
- C. Perrotta & N. Selwyn. (2020). Deep learning goes to school: Toward a relational understanding of AI in education, Learning, Media and Technology, 45(3), 251-269. https://doi.org/10.1080/17439884.2020.1686017
- W. W. B. Goh & C. C. Sze. (2019). AI paradigms for teaching biotechnology, Trends in biotechnology, 37(1), 1-5. https://doi.org/10.1016/j.tibtech.2018.09.009
- O. Zawacki-Richter. et al. (2019). Systematic review of research on artificial intelligence applications in higher education-where are the educators?, International Journal of Educational Technology in Higher Education, 16(1), 1-27, https://doi.org/10.1186/s41239-019-0132-7
- D. S. Touretzky et al. (2019). K-12 Guidelines for Artificial Intelligence: What Students Should Know, in Proc. of the ISTE Conference.
- M. Hussain et al. (2019). Using machine learning to predict student difficulties from learning session data, Artificial Intelligence Review, 52(1), 381-407. https://doi.org/10.1007/s10462-018-9620-8
- L. S. Marques, C. Gresse von Wangenheim & J. C. Hauck. (2020). Teaching Machine Learning in School: A Systematic Mapping of the State of the Art, Informatics in Education, 19(2), 283-321.
- A. I. Vlasov, L. V. Juravleva & V. A. Shakhnov. (2019). Visual environment of cognitive graphics for end-to-end engineering project-based education, Journal of Applied Engineering Science, 17(1), 99-106. https://doi.org/10.5937/jaes17-20262
- G. Gadanidis. (2017). Artificial intelligence, computational thinking, and mathematics education, The International Journal of Information and Learning Technology.
- M. L. How & W. L. D. Hung. (2019). Educing AI-thinking in science, technology, engineering, arts, and mathematics (STEAM) education, Education Sciences, 9(3), 184. DOI : 10.3390/educsci9030184
- R. J. Passonneau et al. (2017). Preface: special issue on multidisciplinary approaches to AI and education for reading and writing, International Journal of Artificial Intelligence in Education, 27(4), 665-670. https://doi.org/10.1007/s40593-017-0158-8
- F. Duzhin & A. Gustafsson. (2081). Machine learning-based app for self-evaluation of teacher-specific instructional style and tools, Education Sciences, 8(1), 7. DOI : 10.3390/educsci8010007
- Y. Lee. (2020). A Study on the Diagnosis Method of Knowledge Information in Computational Thinking using LightBot. Journal of the Korea Convergence Society, 11(8), 33-38. DOI : 10.15207/JKCS.2020.11.8.033
- Y. Lee. (2020). A study on the Correlation of between Online Learning Patterns and Learning Effects in the Non-face-to-face Learning Environment. Journal of the Korea Academia-Industrial cooperation Society. 21(8), 557-562. DOI : 10.5762/KAIS.2020.21.8.557
- Y. Lee. (2018). Analyzing the effect of software education applying problem-solving learning. Journal of Digital Convergence, 16(3), 95-100. DOI : 10.14400/JDC.2018.16.3.095