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研究生:鄭翔
研究生(外文):Hsiang Cheng
論文名稱:以模糊推論為基礎之個人化英語動詞時態學習障礙診斷專家系統
論文名稱(外文):A Fuzzy Expert System for Diagnosing Student Learning Problems on English Tenses
指導教授:黃國禎黃國禎引用關係
指導教授(外文):Gwo-Jen Hwang
學位類別:碩士
校院名稱:國立暨南國際大學
系所名稱:資訊管理學系
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2005
畢業學年度:93
語文別:英文
論文頁數:128
中文關鍵詞:專家系統模糊推論英語時態學習診斷
外文關鍵詞:expert systemfuzzy inferencefuzzy reasoningEnglish tenseslearning prob-lem diagnosis
相關次數:
  • 被引用被引用:6
  • 點閱點閱:338
  • 評分評分:
  • 下載下載:71
  • 收藏至我的研究室書目清單書目收藏:4
在高度國際化的時代,英語能力的培養已經受到世界各國的重視。而隨著電腦與網路的普及,已有許多線上英語教學及測驗系統被開發,以提供更豐富的個人化學習環境。然而,由於個別學生的學習特質不盡相同,在線上學習的過程中所遭遇的困難也不一樣,若無適當的引導,可能造成學習迷失。目前多數的測驗系統僅提供分數來作為學習狀態的評量結果,這樣的回饋對於改善學生的學習成效並無助益;因此,在本研究中,我們嘗試建立一套英語教學的學習障礙與診斷模式,透過英語動詞的分類及線上測驗歷程參數的定義,以及運用專家系統與模糊推論技術,來診斷學生的學習障礙,並提供學習上的建議,以協助學生改善學習成效。為了驗證本研究的成果,我們邀請257位大學生來試用系統;由分析結果顯示,多數學習者肯定由本系統所提供的個人化的診斷及學習建議功能對於提升學習成效有很大的幫助。
In the past decades, English learning has been received lots of attentions all over the world, especially for those learners who are ESL/EFL students. However, in traditional testings, examinees generally receive their score as the only results, with no further message given to improve their learning performance. Under these circumstances, English learners, on average, have a limited space to make progress, or relatively need more effort to become familiar with English language.
It is the mutual goal of both Artificial Intelligent (AI) and Computer Assisted Instruc-tion researchers that applying AI technologies to facilitate EFL students’ learning per-formance. In this thesis, a web-based English tense learning obstacle diagnosis expert sys-tem named ET-DES is proposed. ET-DES is able to identify English learners’ deficiency on English verb tenses and to provide learners with individualized learning suggestions in ac-cordance with his/her learning portfolio. By its assistance, learners have the opportunity of getting the clues where they need to strengthen, and therefore make greater progress in learning English tenses.
To evaluate the system efficacy, an experiment with 257 participants was conducted. The analysis results show that the personalized diagnosis information provided by ET-DES is helpful in improving each student’s learning performance; furthermore, most of them are in favor of the efficacy of the system.
Acknowledgement i
論文摘要 iv
Abstract v
Contents vii
List of Figures ix
List of Tables xi
List of Appendices xii
Chapter 1. Introduction 1
1.1 Background and Motivation 1
1.2 Organization of the Thesis 3
Chapter 2. Relevant Research 5
2.1 Review of e-Learning Technologies and Applications 5
2.1.1 Computer Assisted English Learning 6
2.1.2 Computer Assisted Test and Diagnosis 8
2.2 Fuzzy Theory 13
2.2.1 Linguistic Variables 15
2.2.2 Membership Function 15
2.2.3 Logical Operations 18
2.2.4 Fuzzy Rules 20
2.2.5 Fuzzy Inference and Defuzzification 23
2.3 Expert Systems 28
2.3.1 Features of Expert Systems 28
2.3.2 Architecture of Expert Systems 29
2.3.3 Inference Mechanisms 31
2.3.4 DRAMA – an Expert System Development Tool 33
Chapter3. Research Architecture and Design 35
3.1 Classification of Tenses in English Grammar 35
3.2 Design of Learning Portfolio 37
3.3 Identification of Learner’s On-line Performances with Fuzzy Approach 43
3.3.1 Fuzzy Inference Model 43
3.3.2 Definition of the Linguistic Variables 44
3.3.3 Definition of the Membership Functions 47
3.3.4 Definition of the Fuzzy Rules 51
3.2.5 Defuzzification 53
3.3.6 Individualized Learning Suggestions 57
3.3.7 Illustrative Example of the Fuzzy Inference 58
Chapter 4. Implementation of ET-DES 65
4.1 System Architecture and Functionality 65
4.2 System Interface Design 69
4.2.1 Administrator Interface 70
4.2.2 Teacher Interface 70
4.2.3 Learner Interface 75
4.3 Restrictions of the System 86
Chapter 5. Experiment and Analysis 88
5.1 Experiment Design 88
5.1.1 Participants 88
5.1.2 Parameters involved 89
5.1.3 Procedure 89
5.1.4 Instruments 90
5.2 Background of the Participants 92
5.3 Analysis of System Issues 96
Chapter 6. Conclusions and Future Works 102
References 105
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[126] Merriam-Webster Online, URL: http://www.m-w.com/
[127] Lydbury Grammar Clinic, URL: http://www.lydbury.co.uk/grammar/
[128] EduFind, URL: http://www.edufind.com/
[129] yourDictionary.com, URL: http://www.yourdictionary.com/
[130] Activities for ESL Students, URL: http://a4esl.org/
[131] EnglishPage.com, URL: http://www.englishpage.com/
[132] ESL Town, URL: http://patsula.com/esltown/
[133] EFLWEB Home Page, URL: http://www.eflweb.com/
[134] Foreign Languages for Travelers, URL: http://www.travlang.com/languages/
[135] Benlin’s English Notebook, URL: http://som.twbbs.org/klee/notebook/index.htm
[136] English Grammar Online, URL: http://www.ego4u.com/
[137] Ask an Expert Sources, URL: http://www.cln.org/int_expert.htm
[138] Dave’s ESL Café, URL: http://www.eslcafe.com/
[139] Karin’s ESL Partyland, URL: http://www.eslpartyland.com/home.htm
[140] English Town, URL: https://www.englishtown.com/
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