Earticle

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

키워드

저자

• Fei Lang [ School of Foreign Languages, Harbin University of Science and Technology, Harbin, Heilongjiang, China ] Corresponding Author
• Siwen Zhang [ School of Foreign Languages, Harbin University of Science and Technology, Harbin, Heilongjiang, China ]
• Shaobo Li [ School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China ]
• Guanglu Sun [ School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605