Utilize Knowledge Map and Entropy in the Design of Basic Questioning -- An Application to the Guiding Agent of Mobile Learning

• Main Authors: An-Hao Huang, 黃安豪
• Other Authors: Jia-Sheng Heh
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/6a288s

碩士 === 中原大學 === 資訊工程研究所 === 93 === In Mobile Learning, students learn and observe objects for the learning goal in the place, and use mobile equipments to inquire and to record data on Internet. By this mechanism, this paper designs a system to ask questions and to guide students where to learn. The mechanism of question can compose sentence, not question base, to ask student. According to a status of the student’s answers, the system guides the student to this position to learn and to observe what kinds of concept. This paper uses the structure of Knowledge Map to store knowledge. We analyse keywords in the context and store them into Knowledge Map structure. By this knowledge structure, we can find out what kinds of questioning styles and how to compute the Entropy of each concept. According to the idea of the law of diminishing marginal utility, we stand on the status of the students’ answers to decrease the Entropy of concept gradually. It avoided students receiving the same concepts in the guidance. It will include testing concepts in the question so that we can compute the question’s Entropy by concept’s Entropy after we knowing the testing concepts. The Intelligent Agent will choose the maximum Entropy of question to guide students to learn. After answering questions, the system will estimate the students’ answers to guide them to next position. The Intelligent Agent produces questions by knowledge instructions. The knowledge instructions, which operates in Knowledge Map, composes concepts which has gotten from Knowledge Map. Then according to Transformational-Generative Grammar, it composes knowledge instructions into a sentence and transforms the sentence into a question. This paper implements a system for question and guidance and handles the plants’ data of Cherng Gong Elementary School in Taoyuan County. We integrated this system into a Mobile Learning system (Knowledge-Enhanced System, KEN), and went to Cherng Gong Elementary School to test this system with a lesson plan. We marshaled some problems in this test.