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In education, cramming is the practice of working intensively to absorb large volumes of information in short amounts of time. It is also known as massed learning. [1] It is often done by students in preparation for upcoming exams, especially just before them.
Cram schools in Hong Kong are famous because of the stresses from Hong Kong Diploma of Secondary Education (HKDSE). These cram school teaching includes practicing exam questions and grammar drills. Moreover, they provide model essays for English language exam. However, some schools are not licensed, and few educators have teaching qualifications.
Dr. Wolfgang Greller and Dr. Hendrik Drachsler defined learning analytics holistically as a framework. They proposed that it is a generic design framework that can act as a useful guide for setting up analytics services in support of educational practice and learner guidance, in quality assurance, curriculum development, and in improving teacher effectiveness and efficiency.
Coursera Inc. (/ k ər ˈ s ɛ r ə /) is an American global massive open online course provider. It was founded in 2012 [ 2 ] [ 3 ] by Stanford University computer science professors Andrew Ng and Daphne Koller . [ 4 ]
In computing, in particular compiler construction, value range analysis is a type of data flow analysis that tracks the range (interval) of values that a numeric variable can take on at each point of a program's execution. [1]
Cram school can provide couple diversification ways of Education, it could help student understand better and to cultivate their interest in learning, due to various reasons, a school may not have the best teachers, but cram school tutoring can enhance students' confidence in competition with others.
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."
She also wrote a book, A Mind For Numbers: How to Excel at Math and Science (Even If You Flunked Algebra). [4] This is a standalone book, though it companions the ideas presented in the MOOC . Oakley has authored op-ed articles about learning in The Wall Street Journal [ 5 ] [ 6 ] and The New York Times .