Title :
Using an analytical formalism to diagnostic and evaluate Massive Open Online Courses
Author :
Jihane Sophia Tahiri;Samir Bennani;Mohammed Khalidi Idrissi
Author_Institution :
RIME Team- Networking, Modeling and E-learning - LRIE Laboratory- Research in Computer Science and Education, Laboratory - EMI- Mohammadia School of Engineering- University Mohammed V of Rabat, Morocco
Abstract :
Evaluation is a key element in the pedagogical strategy of all learning environments, especially Massive Open Online Courses (MOOC) since it allows quality improving of educational content and training tools. Recently, MOOC have proven the need for diagnostic and evaluation in terms of huge amount of potential data. In this context, this present paper describes our logical stepwise analytical approach which represents the process we have developed to effectively evaluate MOOC. This approach is based on a combination of Learning Analytics and traces.
Keywords :
"Analytical models","Data collection","Data models","Context","Instruments","History","Education"
Conference_Titel :
Intelligent Systems: Theories and Applications (SITA), 2015 10th International Conference on
DOI :
10.1109/SITA.2015.7358389