A Study of the Effect on Cognitive Framework in the Concept Mapping Learning Environment on Internet

碩士 === 臺南師範學院 === 教師在職進修資訊碩士學位班 === 90 === The research is concerned with the effect on Cognitive Framework in “the concept mapping learning environment on internet”(experimental factors) in order to categorize the samples of students’ learning models by data mining application. A total of 180 stude...

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Bibliographic Details
Main Authors: Chun-Yuan Chin, 陳俊源
Other Authors: 李建億
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/92046373031524842969
Description
Summary:碩士 === 臺南師範學院 === 教師在職進修資訊碩士學位班 === 90 === The research is concerned with the effect on Cognitive Framework in “the concept mapping learning environment on internet”(experimental factors) in order to categorize the samples of students’ learning models by data mining application. A total of 180 students in grade 5 from Tainan Primary School took part in this project were assigned into one group who followed the concept maps strategy in learning environment and the other who followed without practicing with learning environment only the didactic approach;as a result, the findings from this assessment are found to be as follows: Experiments have shown that the subjects using concept mapping outperform “non-concept mappers” in two-way ANCOVA analysis employed in the different groups but not to the gender and there is no interrelationship in between. The result also revealed “concept mapping” serves as an effective strategy to help learners organize their cognitive frameworks into more powerful integrated patterns.The survey indicates both the concept and non-concept mappers engaged in this activity have the positive attitude toward the concept mapping learning and computer assisted concept-mapping. It is likely to detect or illustrate the “misconceptions” learners may have as explanations of structured hierarchies in the form of named links, chains, or clusters of concepts. The three learning types are developed and identified by decision tree process employed with data mining and these are: non-learning, rote learning, and meaningful learning. Concept maps drawn by students express their conceptions can help the instructor diagnose the learners’ characteristics in the learning web.