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研究生: 王怡萱
Wang, Yi Hsuan
論文名稱: 探討結合語音辨識技術開發電腦輔助英語學習系統之效益
Implementation and Evaluation of an ASR-based CALL System for English Learning
指導教授: 楊叔卿
口試委員: 張智星
劉顯親
楊接期
孫宏民
張俊盛
許有真
學位類別: 博士
Doctor
系所名稱: 電機資訊學院 - 資訊系統與應用研究所
Institute of Information Systems and Applications
論文出版年: 2013
畢業學年度: 102
語文別: 英文
論文頁數: 194
中文關鍵詞: computer assisted language learningAutomatic Speech Recognition
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  • This is an interdisciplinary study to explore whether a self-developed ASR-based CALL system integrating different learning factor designs, corrective feedback, multi-modality content presentation and game strategy in the ASR-based learning environment could facilitate students’ English learning. In order to achieve the above mentioned purpose, three sub-studies that adopted the self-developed ASR-based CALL system in an educational context were conducted in the dissertation. The developed ASR-based CALL system aims to provide learners with a web-based speaking scenario in which students have learner-centered and self-paced English practicing opportunities through ASR interaction. The participants of the three sub-studies were 32 seventh graders, 52 third graders and 32 fourth graders. A quasi-experimental design with pretest-posttest nonequivalent-group design was carried out in each sub-study. The duration of the data collection session of each study was 4 weeks, and paper-based tests and the pronunciation tests were conducted before and after the experiment as the learning pre-test and post-test. In addition, questionnaires and interviews were administered to the students.
    Several valuable outcomes are concluded from the study: 1) the web-based ASR program benefits flexible personal learning and achieves the goal of lifelong language learning; 2) three-level feedback with implicit and explicit formats in the ASR programs enhances speaking learning; 3) juxtaposing graphic with auditory information enhanced the learners’ speaking motivation, while juxtaposing text with auditory information helped the learners pronounce the target vocabulary correctly; 4) adding gamification elements in ASR programs enhances students’ speaking engagement and self-learning motivation, while adding drill practice speaking activities affirmed vocabulary retention; and 5) learners of various achievement levels have different preferences for ASR programs.
    The study further proposes an integrated ASR-based CALL model based on the research findings focusing on adding multi-modality of learning contents, designing gamification of activities and including multiple levels of corrective feedback to enhance the English learning of learners of different backgrounds. The multi-modalities could be adopted as speaking scaffolding to help beginners connect the referential links of the targeted word and pronunciation. Both gamification speaking activities and traditional practice-and-drill activities should be included in the ASR-based model, and the proportion of the two activities can be adjusted according to the students’ levels progressively. The immediate corrective feedback could be designed for advanced learners, and personal speaking files with immediate corrective feedback as selective items could be provided to less-advanced learners.
    The study concludes from the current research findings that the adoption of ASR technology into e-learning systems has great potential to promote students’ educative engagement so as to facilitate language acquisition for learners of various language proficiencies. The implementation of the ASR-based CALL system serves as a helpful tool in educational settings for learners to achieve the goal of self-paced learning and a one-to-one language learning scenario. Suggestions for educators and instructional designers are also proposed in this study.


    Chapter 1 Introduction 1 1.1 Background 2 1.2 Current CALL systems with ASR application 3 1.3 Research purposes 5 1.4 Shaping the ideas of the dissertation 6 1.5 Framework of the dissertation 7 Chapter 2 Literature Review 8 2.1 Computer Assisted Language Learning (CALL) 8 2.1.1 Overview 8 2.1.2 Brief History of CALL 9 2.1.3 Intelligent CALL (iCALL) System with Automatic Speech Recognition (ASR) Technology 10 2.1.4 Related CALL Research 13 2.1.5 Brief Summary of CALL 18 2.2 English learning 19 2.2.1 English learning in Taiwan 19 2.2.2 Vocabulary learning 20 2.2.3 Pronunciation learning 21 2.2.4 Students with various levels of English proficiency 21 2.3 The issues and theories underpinning the corrective feedback design 23 2.3.1 Feedback on ASR-based CALL Systems 23 2.3.2 Related research of feedback in CALL programs 24 2.3.3 Comparison of feedback from different commercial ASR programs 26 C 28 2.3.4 Studies exploreing the corrective feedback design 30 2.4 The issues and theories underpinning the learning contents design 31 2.4.1 Dual Coding Theory 31 2.4.2 The studies supporting Dual Coding Theory applications 32 2.4.3 The studies opposed to Dual Coding Theory applications 33 2.5 The issues and theories underpinning the speaking activities design 35 2.5.1 Game-based learning 35 2.5.2 Game-based language learning studies 35 2.5.3 The principle of game-based activities 37 2.6 Summary of the literature review 39 Chapter 3 Design and implementation of the ASR-based CALL system 41 3.1 Overview of the ASR-based CALL system 41 3.2 Three main elements in the ASR-based CALL system 43 3.2.1 System Database 43 3.2.2 ASR Module 46 3.2.3 Student Module 47 3.3 Mechanism of ASR techniques 48 3.3.1 Implementation of ASR techniques in the CALL system 51 3.4 System functions 53 3.4.1 Two types of user 53 3.4.2 Reading, listening and speaking 54 3.4.3 Self-testing practice 56 3.4.4 Message board 57 3.4.5 Personal learning portfolio 58 3.4.6 Speaking ranking 58 3.5 Improvement of the ASR-based CALL system in different versions 59 3.6 Reliability of the developed ASR-based CALL system 61 Chapter 4 Study I: Designing and exploring the effectiveness of different levels of corrective feedback in the ASR-based CALL system 64 4.1 Overview of Study I 67 4.1.1 Pilot Study 68 4.2 Method 69 4.2.1 Participants 69 4.2.2 Research design 70 4.2.3 Data collection 74 4.2.4 Data analysis 78 4.3 Results 80 4.3.2 Evaluation of the corrective feedback and the ASR-based CALL system 84 4.4 Discussion 90 4.4.1 The use of the three-level feedback improves learners’ English pronunciation 90 4.4.2 The learners’ perceptions of the corrective feedback design and the ASR-based CALL system 91 4.5 Summary of Study I 92 Chapter 5 Study II:Examining the effects of integrating multimedia modalities into designing the speaking contents of the ASR-based CALL system 93 5.1 Overview of Study II 93 5.2 Method 93 5.2.1 Participants 93 5.2.2 Research design 94 5.2.3 Data collection 97 5.2.4 Data analysis 102 5.3 Results 104 5.3.1 Learning effectiveness of the two groups with various learning modes 104 5.3.2 Students’ perceptions of learning English with various media modes 106 5.3.3 The progress of using the ASR-based CALL system for speaking practice in the English class 114 5.4 Discussion 117 5.5 Summary of Study II 119 Chapter 6 Study III: Investigating the potential of integrating game-based speaking activities into an ASR-based CALL system. 121 6.1 Overview of Study III 121 6.2 Method 122 6.2.1 Participants 122 6.2.2 Research design 122 6.2.3 Data collection 128 6.2.4 Data analysis 131 6.3 Results 132 6.3.1 Learning effectiveness of groups with different speaking activities 132 6.3.2 Learners’ perceptions of learning English with various speaking activities …………………………………………………………………134 6.3.3 Learners’ learning interaction and behavior with the two activities 139 6.4 Discussion 143 6.4.1 Different impacts of the game-based practice and drill practice on English learning 143 6.4.2 Various achievements resulting from the game-based speaking scenario ………………………………………………………………...144 6.4 Summary of Study III 145 Chapter 7 Discussion 147 7.1 Discussion 147 7.1.1 The learning effectiveness of the use of the ASR-based CALL system …………………………………………………………………147 7.1.2 Learners’ feedback on the ASR-based CALL system 148 7.1.3 Overall discussion: applying the ASR tools in the language learning class …………………………………………………………………150 7.1.4 Comparison of the findings between the study and previous studies 151 7.2 A proposed integrated ASR-based CALL model 156 7.2.1 The integrated ASR-based CALL model: speaking contents design 156 7.2.2 The integrated ASR-based CALL learning model: speaking activity design …………………………………………………………………157 7.2.3 The integrated ASR-based CALL model: corrective feedback design …………………………………………………………………159 CHAPTER 8 Conclusions and Future Works 162 8.1 Conclusions 162 8.2 Future Work 166 8.3 Limitations 166 References 167 Appendix A Learning contents in the system 180 Appendix B Questionnaires 187 Appendix C Paper-based instroction sheet 194  

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