Discussion of The Design of Massive Open Online Courses Model: A Case Study of \"Attack! Big Data Analysis Practice\" Course

• Main Authors: THI KIM ANH DO, 杜氏金英
• Other Authors: Chen-Shu Wang
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/5k9z8z

碩士 === 國立臺北科技大學 === 資訊與財金管理系 === 106 === A major purpose of this study is to discuss the design of massive open online courses. Currently, with the rapid development of digital technology, massive open online courses have become a revolution in education. Massive open online courses called MOOCs which uses the internet to conduct the study. It helps leaners can do distance learning. It has become a popular method of learning in recent years. This study used the "Attack! Big data analysis practice" course in the EWANT platform as a case study to conduct data analysis. The object of this study are learners of this course, their study behaviours are observed and analyzed. The questionnaires are distributed to the course’s designer. This study is to discuss the interrelationship of three characteristics (contains interactivity, example instructions, difficulty) and effectiveness of learning (contains PDF views, video views and learner’s achievement). From the analyzed results, this study are useful for researchers, teachers, and staff who need to design the MOOCs course model. Thereby, the content MOOCs course will be improved, then effectiveness of MOOCs learning courses is better. The results of this study found that three characteristics are interactivity, example instructions and difficulty. The characteristics affect to the effectiveness of online learning. The difficulty and example instructions will affect to PDF views, video views and learner’s achievement; the interactivity will affect to PDF views.