1/ How are the techniques of machine learning able to improve the precision of automatic learning style identification? What recommendation decisions to be made for the intelligent e-learning system? Why? What are the advantages and disadvantages of various automatons for the above mentioned e-learning system?

2/ What learning objects and attributes under interaction of e-learning applications are able to be used to build the video recommendation and classification model? For example, how would the increasing use of machine learning affect the intelligent software design needed in the context of design patterns (Observer DP, Command DP , State DP , Chain of responsibility DP , Template Method DP)?

3/ Explain FIVE perspectives that undertake computational intelligence for modeling machine learning technique for video recommendation in the above mentioned e-learning system.