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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 資訊管理學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/45422
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dc.contributor.advisor孫雅麗(Yeali Sun)
dc.contributor.authorSin-Yan Linen
dc.contributor.author林昕彥zh_TW
dc.date.accessioned2021-06-15T04:19:19Z-
dc.date.available2010-12-29
dc.date.copyright2009-12-29
dc.date.issued2009
dc.date.submitted2009-11-13
dc.identifier.citation[1] Adams, R., & Wu, M. (2002). Programme for International Student Assessment (PISA): PISA 2000: Paris: OECD.
[2] Altman, D. (1991). Practical statistics for medical research: London: Chapman and Hall.
[3] Bateman, S. (2007). COLLABORATIVE TAGGING: FOLKSONOMY, METADATA, VISUALIZATION, E-LEARNING, THESIS. University of Saskatchewan, Saskatoon.
[4] Bateman, S., Brooks, C., & McCalla, G. (2006). Collaborative Tagging Approaches for Ontological Metadata in Adaptive ELearning Systems. Paper presented at the Workshop on Applications of Semantic Web Technologies for e-Learning.
[5] Bateman, S., Brooks, C., Mccalla, G., & Brusilovsky, P. (2007). Applying Collaborative Tagging to E-Learning. Paper presented at the In the Proceedings of the Workshop on Tagging and Metadata for Social Information Organization.
[6] Beckett, D. (2006). Semantics Through the Tag. Paper presented at the XTech 2006: 'Buliding Web 2.0'.
[7] Carlisle, J. F., & Rice, M. S. (2004). Assessment of Reading Comprehension: In K. Apel, Ehren, E. Silliman, & C.A. Stone (Eds.), Handbook of language and literacy. NY: Guilford Press.
[8] Carrell, P. L., & Eisterhold, J. C. (1983). Schema Theory and ESL Reading Pedagogy. TESOL Quarterly, 17(4), 553-573.
[9] Carrell, P. L., Pharis, B. G., & Liberto, J. C. (1989). Metacognitive Strategy Training for ESL Reading. TESOL Quarterly, 23(4), 647-678.
[10] Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37-46.
[11] Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., & Harshman, R. (1990). Indexing by Latent Semantic Analysis. Journal of the American Society for Information Science, 41(6), 391-470.
[12] Dlugosz, D. W. (2000). Rethinking the role of reading in teaching a foreingn language to young learners. ELT Journal, 54(3), 284-290.
[13] Downes, S. (2005). E-learning 2.0. eLearn, 2005, 1.
[14] Fellbaum, C. (1998). WordNet: An Electronic Lexical Database: The MIT Press.
[15] Golder, S. A., & Huberman, B. A. (2006). Usage patterns of collaborative tagging systems. Journal of Information Science, 32(2), 198-208.
[16] Gong, Y., & Liu, X. (2001). Generic text summarization using relevance measure and latent semantic analysis. Paper presented at the Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, New Orleans, Louisiana, United States.
[17] Hage, H., & Aimeur, E. (2008a). Combining Web 2.0 and E-learning: Enabling Learners to Enrich the Learning Content. Paper presented at the The International Conference on Computing and e-Systems, Hammamet, Tunisia.
[18] Hage, H., & Aimeur, E. (2008b). Harnessing Learner's Collective Intelligence: A Web2.0 Approach to E-Learning. Paper presented at the Proceedings of the 9th international conference on Intelligent Tutoring Systems, Montreal, Canada.
[19] Hassan-Montero, Y., & Herrero-Solana, V. (2006). Improving Tag-Clouds as Visual Information Retrieval Interfaces. Paper presented at the International Conference on Multidisciplinary Information Sciences and Technologies.
[20] Hsieh, W.-T., Lai, W.-S., & Chou, S.-C. T. (2006). A collaborative tagging system for learning resources sharing. Paper presented at the Current Developments in Technology-Assisted Education.
[21] Huang, Y.-C., Hung, C.-C., & Hsu, J. Y.-j. (2008). You Are What You Tag. Paper presented at the Association for the Advancement of Artificial Intelligence.
[22] Kaser, O., & Lemire, D. (2007). TagCloud Drawing: Algorithms for Cloud Visualization. Paper presented at the International World Wide Web Conference: Tagging and Metadata for Social Information Organization.
[23] Kasper, L. F. (1995). Theory and Practice in Content-Based ESL Reading Instruction. English for Specific Purposes, 14(3), 223-230.
[24] Klingner, J. K., & Vaughn, S. (1996). Reciprocal Teaching of Reading Comprehension Strategies for Students with Learning Disabilities Who Use English as a Second Language. The Elementary School Journal, 96(3), 275-293.
[25] Klingner, J. K., Vaughn, S., Arguelles, M. E., Hughes, M. T., & Leftwich, S. A. (2004). Collaborative Strategic Reading: 'Real-World' Lessons From Classroom Teachers. Remedial and Special Education, 25(53), 291-302.
[26] Lan, Y.-J., Sung, Y.-T., & Chang, K.-E. (2006). Collaborative early EFL reading among distributed learners: A simulation pilot study. The JALT CALL Journal, 2(2), 3-18.
[27] Landauer, T. K., Foltz, P. W., & Laham, D. (1998). An Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259-284.
[28] Li, X., Guo, L., & Zhao, Y. E. (2008). Tag-based social interest discovery. Paper presented at the Proceeding of the 17th international conference on World Wide Web, Beijing, China.
[29] Lohmann, S., Thalmann, S., Harrer, A., & Maier, R. (2008). Learner-Generated Annotation of Learning Resources - Lessons from Experiments on Tagging. Paper presented at the Proceedings of I-KNOW 08, Graz, Austria.
[30] Michlmayr, E., & Cayzer, S. (2007). Learning User Profiles from Tagging Data and Leveraging them from Personal(ized) Information Access. Paper presented at the WWW 2007.
[31] Nenkova, A., Vanderwende, L., & McKeown, K. (2006). A compositional context sensitive multi-document summarizer: exploring the factors that influence summarization. Paper presented at the Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, Seattle, Washington, USA.
[32] Noll, M. G., & Meinel, C. (2007). Web Search Personalization Via Social Bookmarking and Tagging. Lecture notes in computer science., No. 4825. (2007), pp. 367-380., 4825, 367-380.
[33] Noll, M. G., & Meinel, C. (2008). Exploring social annotations for web document classification. Paper presented at the Proceedings of the 2008 ACM symposium on Applied computing, Fortaleza, Ceara, Brazil.
[34] O'Reilly, T. (2005). What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software, from http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html
[35] Palmer, H. E. (1921). Principles of language-study: London: Harrap. (Reissued in 1964 by Oxford University Press).
[36] Porter, M. F. (1980). An algorithm for suffix stripping. Program, 14(3), 130-137.
[37] Rayner, K., & Pollatsek, A. (1989). The psychology of reading: Lawrence Erlbaum Associates.
[38] Reitsma, P. (1988). Reading Practice for Beginners: Effects of Guided Reading, Reading-While-Listening, and Independent Reading with Computer-Based Speech Feedback. Reading Research Quarterly, 23(2), 219-235.
[39] Sachs, G. T., Candlin, C. N., & Rose, K. R. (2003). Developing Cooperative Learning in the EFL/ESL Secondary Classroom. RELC Journal, 34(3), 338-369.
[40] Sinha, R. (2005). A cognitive analysis of tagging, from http://www.rashmisinha.com/archives/05_09/tagging%20cognitive.html
[41] Sinha, R. (2006). A social analysis of tagging, from http://www.rashmisinha.com/archives/06_01/social%20tagging.html
[42] Spearman, C. (1904). The proof and measurement of association between two things. Amer. J. Psychol., 15(1904), 72-101.
[43] Ullrich, C., Borau, K., Luo, H., Tan, X., Shen, L., & Shen, R. (2008). Why Web 2.0 is Good for Learning and for Research: Principles and Prototypes. Paper presented at the International World Wide Web Conference Committee.
[44] Wu, X., Zhang, L., & Yu, Y. (2006). Exploring Social Annotations for the Semantic Web. Paper presented at the International World Wide Web Conference Committee.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/45422-
dc.description.abstract在過去,教學者通常使用單純的閱讀測驗,例如克漏字測驗、多選題測驗 (cloze test or multiple choice test),以瞭解個別學生英文閱讀理解的能力。在此研究中,我們期望透過社會性標籤 (Social Tagging),幫助教學者瞭解學生的閱讀理解能力。並且根據社會性標籤的特性:記憶、組織及分享,幫助學生快速組織閱讀文章的內容,分享更可以改善以往閱讀學習的死角。
根據以上目的,本論文發展了一個以社會性標籤為基礎的Web-based平台,Tag-based Collaborative Reading Learning System (TCRL),此平台幫助學生分享閱讀過程所產生的想法,並且透過社會性標籤,刺激學生反覆思考及再閱讀,學生再思考之後更可以提供討論的意見。
另外,為了達到瞭解學生閱讀理解能力的目的,本論文提出以標籤為基礎的閱讀理解評估方法,Tag-based Reading Comprehension Assessment (TRCA),並利用TCRL平台所搜集的學生標籤資料進行實驗。根據相關係數分析發現,在不同的前置資料處理方法下,皆顯示TCRL中的標籤資料確實能夠反應學生閱讀理解的能力。
zh_TW
dc.description.abstractThe real pleasure of reading comes from catching what the author is trying to convey to us. In past decades, learning by reading is known to be challenging for both teachers and students involved. However, traditional reading learning is usually treated as an individual interaction between a learner and the articles being read, such that much important information is abandoned in this interaction, and hence, the performance of the constructed learner’s reading comprehension is significantly affected. To cope with this problem, in this thesis, we propose a Tag-Based reading approach to eliciting collaborative knowledge from EFL learners. The novel approach takes social tagging into consideration, and attempts to find out the relations between learners’ tags and their comprehension. An application to develop a collaborative learning system and the analysis of correlation between our method and traditional assessment has been conducted.en
dc.description.provenanceMade available in DSpace on 2021-06-15T04:19:19Z (GMT). No. of bitstreams: 1
ntu-98-R96725034-1.pdf: 4750532 bytes, checksum: a6512f4be120e3a7ff1fa49d0cfa5900 (MD5)
Previous issue date: 2009
en
dc.description.tableofcontents論文摘要 V
THESIS ABSTRACT VI
TABLE OF CONTENTS VII
LIST OF FIGURES IX
LIST OF TABLES XI
Chapter 1. Introduction 1
1.1. Background and Motivation 1
1.2. Objective 3
1.3. Thesis Structure 4
1.4. Limitations 5
Chapter 2. Review of Related Literature 6
2.1. Learning to Read in ESL and Reading Comprehension Test 6
2.2. Web 2.0 and E-Learning 2.0 8
2.3. Social Tagging 10
2.3.1. Social Tagging in Learning Environment 15
2.3.2. Discussion 19
Chapter 3. Tag-Based Reading Comprehension Assessment 20
3.1. Preprocessing of Students’ Tag and Reading Article 20
3.1.1. Data Sparseness in Students’ Tag Set and Reading Article 22
3.1.2. Reading Article Summarization 24
3.1.3. Student’s Tag and Term Weighting 30
3.2. Scoring Function for Reading Comprehension 31
Chapter 4. Implementation of Tag-Based Collaborative Reading Learning System 33
4.1. The Process of Collaborative Reading Learning 33
4.2. Development Environment 34
4.3. System Architecture 35
4.4. System Process and User Interface 36
Chapter 5. Experiment and Evaluation 42
5.1. Data Source and Data Set 43
5.1.1. Reading Article: “Wuthering Heights” 43
5.1.2. Human Summary of Reading Article 43
5.1.3. Students’ Tag Set 44
5.1.4. Experts’ (Teachers) Tag Set 47
5.1.5. IWiLL Reading Comprehension Score of Students 48
5.1.6. Experts Rating the Tags of Student 48
5.2. Statistical Characteristics of Students’ Tag Set in Reading Comprehension 51
5.2.1. Power Law Curve of Students’ Tag Set 51
5.2.2. Tag Usage Ratio Convergence in Tagging Object 52
5.3. The Relationship between Student Reading Comprehension and Tag 54
5.3.1. The Input Elements of Scoring Function 54
5.3.2. The Output of Scoring Function 56
5.3.3. The Correlation Analysis 59
5.3.4. The Correlation between IWiLL Reading Challenge Score and Scoring Function Results 61
5.3.5. The Correlation between Expert Rating Scores and Scoring Function Results 64
5.3.6. Discussion 70
5.4. Prototype System Analysis 71
5.4.1. The Effect of Tag Exchange on the Tag Scores 71
5.4.2. User Study 74
Chapter 6. Conclusions and Future Work 80
References 83
Appendix A. Questionnaire of User Study 87
dc.language.isoen
dc.subjectWeb加強英文學習zh_TW
dc.subject合作式學習zh_TW
dc.subject群眾智慧zh_TW
dc.subject學習成效評估zh_TW
dc.subject相關性分析zh_TW
dc.subjectcorrelation analysisen
dc.subjectcooperative/collaborative learningen
dc.subjectweb-enhanced language learningen
dc.subjectwisdom of crowdsen
dc.subjectlearning performance assessmenten
dc.title應用社會性標籤於英文閱讀理解zh_TW
dc.titleApplying Social Tagging to English Reading Comprehensionen
dc.typeThesis
dc.date.schoolyear98-1
dc.description.degree碩士
dc.contributor.oralexamcommittee張嘉惠(Chia-Hui Chang),陳建錦(Chien-Chin Chen),陳孟彰(Meng-Chang Chen)
dc.subject.keywordWeb加強英文學習,合作式學習,群眾智慧,學習成效評估,相關性分析,zh_TW
dc.subject.keywordweb-enhanced language learning,cooperative/collaborative learning,wisdom of crowds,learning performance assessment,correlation analysis,en
dc.relation.page87
dc.rights.note有償授權
dc.date.accepted2009-11-16
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept資訊管理學研究所zh_TW
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