会议论文

Chen, Mengyuan

英文

2017 6TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS (IIAI-AAI)

2017

747-753

6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)

JUL 09-13, 2017

Hamamatsu, JAPAN

[Chen, Mengyuan;Tong, Mingwen;Liu, ChunMiao;Xia, Ying] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.^[Han, Meimei] Cent China Normal Univ, Educ Informat Technol Collaborat Innovat Ctr, Wuhan, Hubei, Peoples R China.

Int Inst Appl Informat

Matsuo, T Fukuta, N Mori, M Hashimoto, K Hirokawa, S

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5386-0621-6

10.1109/IIAI-AAI.2017.90

MOE (Ministry of Education in China) Project of Humanities and Social Sciences [15YJA880062]; self-determined researcher funds of CCNU from the colleges' basic research and operation of MOE [CCNU16JCZX05]

本校为第一且通讯机构

Intelligent methods are needed to organize the large amount of teaching and learning resources, one important aspect is to plan the learning path. According to the existing research, ant colony algorithm showed great advantages in learning path planning. Different from the traditional ant colony algorithm, Mahalanobis distance was adopted to calculate the distance between the data in the improved ACO. This paper proposed a method to recommend learning path using an improved ant colony algorithm based on a novel coordinate system. Also, In order to transform the unmeasurable concept map and inf...