Online courses recommendation system based on industry occupation skills requirements

Abstract

MOOCs had bring us to a higher education with the concept of flipped classrooms, where students make use of the online studying materials such as online textbooks, video tutorials, and all sorts of documents which may take in forms of a web page, online learning platform, educational learning management systems. We see the stupendous potential of MOOCs in education. However, there has always been a problem that existed in Taiwan that is also often discussed. It is known as the gap between industry and education, which means that the students who has graduated from universities, do not always have the skills that the industries needed. We find that in most cases, students will only have some skills or knowledge about some tools that is listed from the requirements of the industries. The students have plentiful self-studying resources from the internet, we hope to encourage the students to learn and empower themselves by correctly recommend what are the most required skills of their desired occupation. Therefore, this paper proposed a clustering method that shows the results of groups of skills that are commonly needed for a particular type of job.