Distribution of lecture concepts and relations in digital contents

Po Jen Chuang, Chu Sing Yang, Ming Chao Chiang

研究成果: Conference contribution


Digital contents contains a large number of learning concepts most of which contribute to the main learning ideas. How to focus on the learning faults and improve the learning process is important. In this paper, we propose a novel approach to retrieving the main ideas from, as well as to constructing a domain tree to represent, the contents of materials. The nodes of the domain tree consist of meaningful texts. We collect the meaningful texts by segmenting words of the digital contents and then recombining these texts to form a binary number. We define a scoring method for the digital contents by assigning a sequence of 0's and 1 's to the texts. These binary numbers can then be easily calculated by a function of sequence with power n and base 2, where n ∈ N. Each sequence can get a unit score which indicates the location in the context. An expression of digital contents represents a unit, a chapter, a section, or a paragraph. This expression can be provided as a feedback to teachers or students. Based on the feedback, teachers can make questions in the exam sheet more evenly distributed while students can improve the way they learn.

主出版物標題Network-Based Information Systems - First International Conference, NBiS 2007, Proceedings
發行者Springer Verlag
出版狀態Published - 2007
事件1st International Conference on Network-Based Information Systems, NBiS 2007 - Regensburg, Germany
持續時間: 2007 9月 32007 9月 7


名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4658 LNCS


Other1st International Conference on Network-Based Information Systems, NBiS 2007

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)


深入研究「Distribution of lecture concepts and relations in digital contents」主題。共同形成了獨特的指紋。