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A free course can be "upgraded" to the paid version of a course, which includes instructor's feedback and grades for the submitted assignments, and (if the student gets a passing grade) a certificate of completion. [57] [60] Other Coursera courses, projects, specializations, etc. cannot be audited—they are only available in paid versions ...
Course developers could charge licensing fees for educational institutions that use its materials. Introductory or "gateway" courses and some remedial courses may earn the most fees. Free introductory courses may attract new students to follow-on fee-charging classes. Blended courses supplement MOOC material with face-to-face instruction.
The distinctions are in content and user interface, as well as in tutoring styles and tutor-training methodologies. Definitions associated with online tutoring vary widely, reflecting the ongoing evolution of the technology, the refinement and variation in online learning methodology, and the interactions of the organizations that deliver ...
Code Year was a free incentive Codecademy program intended to help people follow through on a New Year's Resolution to learn how to program, by introducing a new course for every week in 2012. [32] Over 450,000 people took courses in 2012, [33] [34] and Codecademy continued the program into 2013. Even though the course is still available, the ...
At Cambridge, a tutorial is known as a supervision. In Australian, New Zealand, and South African universities, a tutorial (colloquially called a tute or tut) is a class of 10–30 students. Such tutorials are very similar to the Canadian system, although, tutorials are usually led by honours or postgraduate students, known as 'tutors'.
In 2011, MIT OpenCourseWare introduced the first of fifteen OCW Scholar courses, which are designed specifically for the needs of independent learners. While still publications of course materials like the rest of the site content, these courses are more in-depth and the materials are presented in logical sequences that facilitate self-study.
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In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update the best predictor for future data at each step, as opposed to batch learning techniques which generate the best predictor by learning on the entire training data set at once.
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