Teaching Effectiveness Study of Using Moodle e-Learning Platform by Applying the Blue Ocean Strategy and Data Mining Technique - An Example of an Information Course in Elementary School

• Main Authors: Jia-Hong Chen, 陳嘉鴻
• Other Authors: Jenn-Long Liu
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/c642v6

碩士 === 義守大學 === 資訊管理學系碩士在職專班 === 102 === This thesis uses a Moodle e-Learning Platform for assisting the teaching of information education course and also implements four action frameworks of Blue Ocean Strategy to process the planning of course and strategy. The approaches used in this study include the achievement tests of using the computers and questionnaires relating to the attitude of using the computers. Meanwhile, this research also employs the Moodle e-learning platform to actively collect students’ browsing records. The browsing records are digitalized as formatted data first and then they are analyzed by an association rule analysis, which is the one analytical tool of data mining technology, to find out the associated rules extracted from the items of browsing courses by students, student’s gender, times spent on the internet, learning achievement, and so forth. For the laboratory-based learning, the surveyed subjects are the fourth-grade students of an elementary school in Kaohsiung City, and I take the role of the teaching teacher of the classes. The available samples for the study are 232, and the subject of the teaching is Internet. Moreover, the overall time spent for the teaching is one month with a total of four lessons. The achievement tests of using the computers and questionnaires relating to the attitude of using the computers are performed before and after each teaching lesson in order to precisely measure the changes for the learning ability and altitude of students. Moreover, the statistical data will be analyzed by using a paired t-test and also a regression analysis to observe the correlations and differences of constructions relating to the achievement and attitude of using the computers. Furthermore, the Apriori algorithm, containing in the Weka software, is applied to search out the associated rules of browsing courses when students click and read the courses on the web site. From the research results, it is clearly that (1) the educators are able to design and plan the course more systematically and gain a truer reflection and feedback after completing the teaching via the conduction of Blue Ocean Strategy into the courses; (2) there are distinct improvements after adopting the Moodle e-learning platform and online teaching forum; (3) the teaching achievement of using the computers for students are significantly enhanced which is affected by the academic achievements and frequency of browsing the learning website; (4) the attitude of using the computers for students is improved by the effect of browsing the learning website; (5) data mining technology may supplement the insufficiency of traditional statistical and also help researcher to discover associate rules from a large number of data.