원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.9 No.11
2016.11
pp.229-238
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
MOOC (Massive Open Online Courses), is a new mode of distance education courses based on the Internet technology. To solve problems in MOOC, such as lacks of management, supervision and comprehensive evaluation etc., this paper aims to study MOOC academic management and analysis method in contexts of colleges and universities. To supervise and trace students’ learning process, an academic management system of MOOC was constructed. To assess and predict students’ learning trends and achievements, an academic analysis model was established based on learning and interaction data analysis. Experimental results prove the above method insures expected learning effects when applying MOOC in colleges and universities.
목차
Abstract
1. Introduction
2. Related Works
2.1. Research on MOOC
2.2. Research on Academic Management and Analysis
3. Academic Management, Analysis and Prediction for MOOC
3.1. Research on Academic Management and Analysis
3.2. Academic Analysis and Prediction Function of MOLMA System
4. Methods
4.1. The Statistical Method
4.2. Naïve Bayes Model
4.2. The Graph Model
5. Experimental Results and Analysis
5.1. Results of the Correlation Analysis
5.2. Results of the Graph Model Analysis
6. Conclusion
References
1. Introduction
2. Related Works
2.1. Research on MOOC
2.2. Research on Academic Management and Analysis
3. Academic Management, Analysis and Prediction for MOOC
3.1. Research on Academic Management and Analysis
3.2. Academic Analysis and Prediction Function of MOLMA System
4. Methods
4.1. The Statistical Method
4.2. Naïve Bayes Model
4.2. The Graph Model
5. Experimental Results and Analysis
5.1. Results of the Correlation Analysis
5.2. Results of the Graph Model Analysis
6. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보