TY - GEN
T1 - Design of an web-based interactive quantitative (IQ) curriculum map
AU - Liao, Tzu Hua
AU - Lai, I. Wei
AU - Chin, Kuo Sheng
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - In this work, we design a web system for an interactive quantitative (IQ) curriculum map. With the intuitive graphical user interface (GUI), the administrator and user can easily build and read the map, respectively. Several functions are implemented to increase the accessibility of the IQ map. For example, after the administrator builds the map, the locations of courses in the map are optimized for clarity. Students can focus on the local information by clicking a certain course, which generates a submap that only includes the related courses. More- over, the graphical curriculum data is extracted and analyzed by applying the graph theory. The quantitative features of the courses, e.g., the difficulty level, are calculated and shown in the map. The proposed IQ map allows the students to have better understanding of their curriculum, which can be extended to several interesting applications, e.g., course recommendation.
AB - In this work, we design a web system for an interactive quantitative (IQ) curriculum map. With the intuitive graphical user interface (GUI), the administrator and user can easily build and read the map, respectively. Several functions are implemented to increase the accessibility of the IQ map. For example, after the administrator builds the map, the locations of courses in the map are optimized for clarity. Students can focus on the local information by clicking a certain course, which generates a submap that only includes the related courses. More- over, the graphical curriculum data is extracted and analyzed by applying the graph theory. The quantitative features of the courses, e.g., the difficulty level, are calculated and shown in the map. The proposed IQ map allows the students to have better understanding of their curriculum, which can be extended to several interesting applications, e.g., course recommendation.
KW - Curriculum map
KW - centrality
KW - graph theory
KW - network anal- ysis
KW - visualization
UR - http://www.scopus.com/inward/record.url?scp=85047215818&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047215818&partnerID=8YFLogxK
U2 - 10.1109/TALE.2017.8252320
DO - 10.1109/TALE.2017.8252320
M3 - Conference contribution
AN - SCOPUS:85047215818
T3 - Proceedings of 2017 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2017
SP - 143
EP - 146
BT - Proceedings of 2017 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2017
Y2 - 12 December 2017 through 14 December 2017
ER -