期刊名称：Brain. Broad Research in Artificial Intelligence and Neuroscience
印刷版ISSN：2067-3957
出版年度：2017
卷号：8
期号：1
页码：17-23
语种：English
出版社：EduSoft publishing
摘要：Massive Open Online Courses (MOOCs) have been producing an electrified feeling in the academic circles since 2012. This was amplified once profit initiatives like Coursera and Udacity joined their forces with renowned universities like Stanford, Harvard and the Massachusetts Institute of Technology. This paper presents a modality of integrating Embedded Systems MOOCs into blended courses, but at the same time it provides an evaluation of this approach: the sentiment analysis technique. Such an evaluation not only reveals the polarity, but also valuable insights into improving the course content and integration of MOOCs into the intricacies of teaching embedded systems.
其他摘要：Massive Open Online Courses (MOOCs) have been producing an electrified feeling in the academic circles since 2012. This was amplified once profit initiatives like Coursera and Udacity joined their forces with renowned universities like Stanford, Harvard and the Massachusetts Institute of Technology. This paper presents a modality of integrating Embedded Systems MOOCs into blended courses, but at the same time it provides an evaluation of this approach: the sentiment analysis technique. Such an evaluation not only reveals the polarity, but also valuable insights into improving the course content and integration of MOOCs into the intricacies of teaching embedded systems.
