최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기International journal of information and education technology, v.10 no.9, 2020년, pp.679 - 684
Xiao, Jun , Wang, Lamei , Zhao, Jisheng , Fu, Aizhen
In the field of online learning, there is a problem of high student turnover rate. How to accurately identify learners and provide targeted teaching support services is an urgent problem for education researchers. In this paper, 1306 online learners majoring in finance from Shanghai Open University ...
[1] H. Jiawei. and K. Micheline, "Data mining: Concepts and techniques," Data Mining Concepts Models Methods & Algorithms Second Edition, vol. 5, no. 4, pp. 1-18, 2006.
[2] R. S. J. D. Baker and K. Yacef, "The state of educational data mining in 2009: A review and future visions," Journal of Educational Data Mining, vol. 1, no. 1, 2009.
[3] M. Bienkowski, M. Feng, and B. Means, "Enhancing teaching and learning through educational data mining and learning analytics: An issue brief," Washington: US Department of Education, pp. 1-57, 2012.
[4] P. Nithya, B. Umamaheswari. and A. Umadevi, "A survey on educational data mining in feld of education," International Journal of Advanced Research in Computer Engineering & Technology, vol. 5, no. 1, pp. 69-78, 2016.
[5] L. Huang. and G. Liu, "Application of web data mining in on-line education," in Proc. the 2012 Second International Conference on Electric Technology and Civil Engineering, 2012.
10.1016/j.eswa.2006.04.005 [6] C. Romero and S. Ventura, "Educational data mining: A survey from 1995 to 2005," Expert Systems with Applications, vol. 33, no. 1, pp. 135-146, 2007.
[7] L. Talavera and E. Gaudioso, "Mining student data to characterize similar behavior groups in unstructured collaboration spaces," presented at Workshop on Artificial Intelligence in Computer Supported Collaborative Learning at European Conference on Artificial Intelligence, 2004.
10.1016/j.compedu.2009.05.010 [8] I. Lykourentzou, I. Giannoukos, V. Nikolopoulos, G. Mpardis. and V. Loumos, "Dropout prediction in e-learning courses through the combination of machine learning techniques," Computers & Education, vol. 53, no. 3, pp. 1-965, 2009.
10.1016/j.compedu.2009.09.008 [9] L. P. Macfadyen and S. Dawson, "Mining LMS data to develop an 'early warning system' for educators: a proof of concept," Computers & Education, vol. 54, no. 2, pp. 1-599, 2010.
[11] Advanced Distributed Learning. (2013). Webinar on the Experience API Version 1.0.0. [EB/OL]. [Online]. Available: http://www.adlnet.gov/webinar-on-the-experience-api-version-1-0-0/
[12] Advanced Distributed Learning. (2014). xAPI Background and History [EB/OL]. [Online]. Available: http://www.adlnet.gov/tla/experience-api/background-and-history/
[13] T. Rabelo, M. Lama, R. R. Amorim et al., "SmartLAK: A big data architecture for supporting learning analytics services," in Proc. Frontiers in Education Conference (FIE), 2010, pp. 1-5.
[14] N. Hruska, (2012). From ADL Team Member Nikolaus Hruska: Using Activity Streams in Next Generation SCORM [EB/OL]. [Online]. Available: http://www.adlnet.a-using-activity-streams-in-next-generation-scorm/
10.1111/bjet.12632 [15] A. R. Cano, M. B. Fernandez, J. Alvaro, and T. Garcia, "Using game learning analytics for validating the design of a learning game for adults with intellectual disabilities," British Journal of Educational Technology, vol. 49, no. 4, pp. 659-672, 2018.
10.1007/s10758-015-9260-x [16] J. M. Kevan and P. R. Ryan, "Experience API: Flexible, decentralized and activity-centric data collection," Technology Knowledge & Learning, vol. 21, no. 1, pp. 143-149, 2016.
10.3991/ijep.v7i3.7385 [17] M. J. Yee-King, M. Grierson et al., "Evidencing the value of inquiry based, constructionist learning for student coders," International Journal of Engineering Pedagogy, vol. 7, no. 3, pp. 109-129, 2017.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.