Research on Constructing the Evaluation Model of Interactive Learning Platform

• Main Authors: LIU,ZHENG-ZONG, 劉正宗
• Other Authors: HUNG,KUO-MING
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/yksft7

碩士 === 開南大學 === 資訊學院碩士在職專班 === 107 === Interactive learning education is one of the most important learning modes of digital technology today. In the part of school environmental education that cannot be satisfied, interactive learning is a good solution to the lack of time in the modern society where life pace is accelerating. In recent years, in various teaching strategies and goals, I hope to return the learning subject to the students themselves, emphasizing the student-centered self-learning environment, and the role played by the teacher is transformed from the knowledge transferor to the knowledge builder. The whole teaching activities from traditional teaching to full control of the classroom learning situation, and gradually change the control to the learner itself, the learner to determine the pace of learning and content. Therefore, companies, schools and government agencies promote the use and construction of online digital learning platforms. The goal of teaching is to enable students to actively participate in learning activities to achieve the set learning outcomes. However, many websites have promoted digital learning over the years. It is found that the establishment of teaching platforms does not mean that students' learning effectiveness is improved. Learners usually browse. In a few cases, the enthusiasm for learning is lost, and the digital learning system still lacks integrated planning and development. Therefore, this study uses the hierarchical analysis method to investigate the weight analysis of the subjects' evaluation of the interactive digital learning platform. Experts and scholars from different fields give suggestions for hierarchical analysis, and then through quantitative judgment, obtain a comprehensive assessment of the context to provide decision makers. Choose the full information of the appropriate solution to solve the current difficulties in network learning interaction and the operation of the user interface on the platform.