Applying Big Data Analytics to Provide a Test Related to Digital Teaching Videos Recommendation Service

• Main Authors: Jia-Xuan Lee, 李佳軒
• Other Authors: 楊鎮華
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/32fst6

碩士 === 國立中央大學 === 資訊工程學系 === 105 === Due to the establishment of the Open Educational Resources (OER) platform, the instructor can use the educational resources in the OER platform or the learner can arbitrarily select the required teaching resources for use. In addition to providing the OER platform educational resources, many OER platforms also provide online quiz services, according to the literature, learners use the results of the test for learning. When the learners has finished the test, they will face overloading information problem which always happens in the OER platform. This paper proposes of the use of the association rules to establish test related to digital teaching videos recommendation service. By analyzing the timing of the use of the test, the conceptual feature set of the knowledge structure is established, and the similarity between the tests and the conceptual feature sets is compared with the classfiaction results. The results of the presentation are combined with the list of highly viewed learners' videos, giving learners an optimized list of recommendation to reduce the problem of overloading information and allowing learners to learn high-level student learning patterns to improve learning effect