Massive Open Online Courses and Monoids
| Autor: | Hugo Farias, Paulo Blauth Menezes, Christiano Braga |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
World Wide Web
Computer science 020204 information systems Massive open online course ComputingMilieux_COMPUTERSANDEDUCATION 0202 electrical engineering electronic engineering information engineering Learning object 020201 artificial intelligence & image processing Subject (documents) 02 engineering and technology Declarative programming Meaning (linguistics) |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319498140 SBMF |
| DOI: | 10.1007/978-3-319-49815-7_11 |
| Popis: | Massive open online courses (MOOC) allows for distributed long-distance learning for extremely large student enrollment. Nowadays most universities throughout the world have their courses online. Web portals such as Coursera or edX join together courses from many of them. Even though there are many platforms to support the development of MOOC, such as Moodle or XBlock, it does not seem to be the case that there are many languages to help course descriptions. Moreover, we would like to allow the description of different paths to teach and learn a given subject. We propose Learn, a declarative language for course descriptions. The contribution of this paper is manyfold: (i) we exemplify Learn descriptions, (ii) formalize the meaning of Learn descriptions and teaching strategies, that allows for different teaching paths, and (iii) discuss the implementation of a toolkit to specify, analyze and generate a course in a MOOC platform from Learn descriptions. |
| Databáze: | OpenAIRE |
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