Personalized Learning Feedback System based on Mining the Assessment Results

碩士 === 東吳大學 === 資訊管理學系 === 99 === With advances in computer and network technology and the popularity of e-learning evolution brought us different from the stereotypes of past learning. With amount of learning resources, the learners may confuse to choose the suitable learning materials for themselv...

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Main Authors: Yi-Bin Ho, 何宜儐
Other Authors: Shou-Yi Tseng
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/70617130507849908873
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spelling ndltd-TW-099SCU053960332016-04-11T04:22:42Z http://ndltd.ncl.edu.tw/handle/70617130507849908873 Personalized Learning Feedback System based on Mining the Assessment Results 運用關聯規則分析測驗結果建構個人化學習回饋系統 Yi-Bin Ho 何宜儐 碩士 東吳大學 資訊管理學系 99 With advances in computer and network technology and the popularity of e-learning evolution brought us different from the stereotypes of past learning. With amount of learning resources, the learners may confuse to choose the suitable learning materials for themselves. Therefore, a good feedback learning system to meet the individual needs has become an important research topic. The online testing system has a rapid development in the recent years. The testing results are not only the scores to evaluate the learners, the testing answers can also provide valuable information about the learners learning details. By analyzing the large number of testing results and based on the individual's testing results, to find the necessary recommendations for individuals can improve the learners learning process on the e-learning system. This study attempts to develop an effective personalized learning feedback system. According to a large number of students test results, we applied the technology of data mining to find the association rules between chapter sections. And then, we combined with personal error rate from testing answers and impact of the chapter sections to provide students feedback information. The feedback information includes the error answered questions, the degree of misunderstanding of chapter sections, and the personal information needed to remedy the learning. Purpose is to improve the learning effect by giving users personalized learning feedback and advising about personal learning process. Experimental results showed that students using this system, the magnitude of test scores showed significant progress in the performance. Shou-Yi Tseng 曾修宜 2011 學位論文 ; thesis 50 zh-TW
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description 碩士 === 東吳大學 === 資訊管理學系 === 99 === With advances in computer and network technology and the popularity of e-learning evolution brought us different from the stereotypes of past learning. With amount of learning resources, the learners may confuse to choose the suitable learning materials for themselves. Therefore, a good feedback learning system to meet the individual needs has become an important research topic. The online testing system has a rapid development in the recent years. The testing results are not only the scores to evaluate the learners, the testing answers can also provide valuable information about the learners learning details. By analyzing the large number of testing results and based on the individual's testing results, to find the necessary recommendations for individuals can improve the learners learning process on the e-learning system. This study attempts to develop an effective personalized learning feedback system. According to a large number of students test results, we applied the technology of data mining to find the association rules between chapter sections. And then, we combined with personal error rate from testing answers and impact of the chapter sections to provide students feedback information. The feedback information includes the error answered questions, the degree of misunderstanding of chapter sections, and the personal information needed to remedy the learning. Purpose is to improve the learning effect by giving users personalized learning feedback and advising about personal learning process. Experimental results showed that students using this system, the magnitude of test scores showed significant progress in the performance.
author2 Shou-Yi Tseng
author_facet Shou-Yi Tseng
Yi-Bin Ho
何宜儐
author Yi-Bin Ho
何宜儐
spellingShingle Yi-Bin Ho
何宜儐
Personalized Learning Feedback System based on Mining the Assessment Results
author_sort Yi-Bin Ho
title Personalized Learning Feedback System based on Mining the Assessment Results
title_short Personalized Learning Feedback System based on Mining the Assessment Results
title_full Personalized Learning Feedback System based on Mining the Assessment Results
title_fullStr Personalized Learning Feedback System based on Mining the Assessment Results
title_full_unstemmed Personalized Learning Feedback System based on Mining the Assessment Results
title_sort personalized learning feedback system based on mining the assessment results
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/70617130507849908873
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