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系統識別號 U0026-0812200915052814
論文名稱(中文) 群聚智慧科技與適應性結構化模式在網路合作學習環境中的影響
論文名稱(英文) The Effects of Swarm Intelligence Technology with Adaptive Structuration Model in Web-Based Collaborative Learning Environment
校院名稱 成功大學
系所名稱(中) 工程科學系碩博士班
系所名稱(英) Department of Engineering Science
學年度 97
學期 1
出版年 98
研究生(中文) 劉建宏
研究生(英文) Chien-hung Liu
電子信箱 chliu@mail.hku.edu.tw
學號 N9894112
學位類別 博士
語文別 英文
論文頁數 73頁
口試委員 指導教授-黃悅民
召集委員-徐新逸
口試委員-朱治平
口試委員-黃仁竑
口試委員-宋曜廷
口試委員-陳宗禧
口試委員-劉子鍵
中文關鍵字 自我效能  系統選用  自我組織  適應性理論  群聚智慧  合作學習 
英文關鍵字 collaborative learning  swarm intelligence  adaptive structuration theory  system appropriation  self-organization  self-efficacy 
學科別分類
中文摘要 在目前的知識經濟情境下,知識已成為保持競爭優勢最重要的來源。因為網路訓練的便利性與適應性,帶給了發展新組織化學習環境的趨勢。然而在教育訓練上,描述學習者控制及學習效果之間關係的綜合研究架構依然缺乏。 因此,本博士論文首先從學習績效、學習者滿意度、學習經驗累積、文件導覽與問題解決等五項構面來探討習者控制及學習效果之間的關係,並依此架構出第一個實證研究。 另外在提升網路學習的過程中主要的關鍵挑戰之一,就是有效的合作學習環境的發展。本研究即假定結構化的過程會強力的影響科技在網路合作學習活動的效果。因此,本博士論文的主要任務即提出一種基於群聚智慧技術所建立的螞蟻群聚合作學習環境,其所建構出的學習機會可讓在動態的合作及學習方法上更有效率。在經過實證的結果顯示:(1)群聚智慧系統的自我組織行為與學習者在系統選用上有正向相關;(2)群聚智慧系統的多重代理機制與學習者在系統選用上有正向相關;(3)群聚智慧系統的凝聚能力與學習者在系統選用上有正向相關;(4)學習者對系統選用的態度傾向與學習效果有正向相關。研究也發現學習者在螞蟻群聚合作學習環境下會比一般的網路學習環境有更好的表現。本研究的結論,即在提供不同的科技支援下將會影響網路學習的成就。
英文摘要 In the present knowledge economy context, knowledge has become the most important source of sustainable competitive advantage. Web-based training provides a trendy learning environment for the development of new organizational knowledge due to its convenience and flexibility. However, a comprehensive framework that delineates the relationship between learner control and learning effectiveness in educational training is absent. This dissertation therefore conducts empirical studies to investigate the relationship between learner control and learning effectiveness under five dimensions: learning performance, learner satisfaction, accumulation of learning experience, document navigation, and problem solving. In addition, one of the key challenges in the promotion of web-based learning is the development of effective collaborative learning environments. This research is posited that the structuration process strongly influences the effectiveness of technology used in web-based collaborative learning activities. The principal work of this dissertation is proposed an ant swarm collaborative learning (ASCL) environment based on a swarm intelligence technology that structures learning opportunities for effective collaboration and learning in a dynamic way. The results of the experiments indicate that: (1) the self-organizing behavior of SIS is positively associated with system appropriation; (2) the multi-agent-based mechanism of SIS is positively associated with system appropriation; (3) the cohesive capability of SIS is positively associated with system appropriation; and (4) the learner’s tendency toward system appropriation is positively associated with learning effectiveness. The findings also show that learners in an ASCL environment outperform their counterparts in a general web-based learning (GWL) environment. We conclude that different types of technological support can influence the achievement in a web-based learning environment.
論文目次 摘要………………………………………………………………III
Abstract…………………………………………………………IV
誌謝………………………………………………………………VI
TABLE OF CONTENTS……………………………………………VII
LIST OF TABLES…………………………………………………IX
LIST OF FIGURES…………………………………………………X
CHAPTER 1 Introduction…………………………………………1
1.1. Web-based Training and Traditional Classroom-based Training……………………………………………………………2
1.2. Organizational Knowledge…………………………………3
1.3. Training on Demand Environment……………………………………………………….4
CHAPTER 2 Collaborative Learning with Social structure...6
2.1. Collaborative Learning Environment and Adaptive Technology……6
2.2. Social Structures with Information Technology……………………..8
CHAPTER 3 Applying Swarm Intelligence with Adaptive Structuration in Collaborative learning………..10
3.1. Swarm Intelligence Technology…………………………10
3.2. Adaptive Structuration Theory………………………14
CHAPTER 4 Hypothesis Development and Inference............19
4.1. Learning Effectiveness of Training on Demand Environment……19
4.2. The Impact of Swarm Intelligence Technology……………………24
CHAPTER 5 Research Design………………………………….31
5.1. Research Framework of Training on Demand……………………..31
5.1.1. Participants and procedure in TOD environment……………31
5.2. Research Framework of Swarm Intelligence System……………...34
5.2.1. Participants and procedure of ASCL environment………….35
5.2.2. Evaluation of treatment and control group………………….39
CHAPTER 6 Results and Discussion…………………………..41
6.1. The Data Analysis and Discussion of TOD Experiment…………..41
6.1.1. Validity and Reliability……………………………………..41
6.1.2. Results of hypothesis tests and discussion………………….43
6.2. The Data Analysis and Discussion of SIS Experiment……………47
6.2.1. The structural equation modeling…………………………...47
6.2.2. Evaluating the measurement model………………………...47
6.2.3. Evaluating the structural model…………………………….51
6.2.4. Results of hypothesis tests and discussion………………....53
CHAPTER 7 Conclusions and Further Research……………59
References…………………………………………......................63
自述……………………………………………………………….73
參考文獻 1.Alavi, M. (1994) Computer-Mediated Collaborative Learning: An Empirical Evaluation. MIS Quarterly 18, 159-174.
2.Alavi, M., Wheeler, B.C. & Valacich, J.S. (1995) Using IT to Reengineer Business Education: An Exploratory Investigation of Collaborative Tele-learning. MIS Quarterly, 19(3), 293-313.
3.Bandura, A. (1986) Social Foundation for Thought and Action. Prentice-Hall, Englewood Cliffs, NJ.
4.Bandura, A. (1993) Perceived self-efficacy in cognitive development and functioning. Educational Psychologist 28, 117–148.
5.Bieber, M. & Wan, J. (1994) Backtracking in a Multiple-window Hypertext Environment, in Proceedings of ECHT '94 (Edinburgh, Scotland, UK, September), ACM Press, 158-166.
6.Blum, C. (2005) Ant colony optimization: Introduction and recent trends. Physics of Life Reviews 2, 353-373.
7.Bonabeau, E., & Meyer, C. (2001) Swarm intelligence: A whole new way to think about business. Harvard Business Review 79, 106–114.
8.Bonabeau, E., Dorigo, M., & Théraulaz, G. (1999) Swarm Intelligence from Natural to Artificial Systems. Oxford University Press, New York.
9.Bonabeau, E., Dorigo, M., & Theraulaz, G. (2000) Inspiration for optimization from social insect behavior. Nature 406, 39–42.
10.Bontis, N. (1998) Intellectual capital: an exploratory study that develops measures and models. Management Decision, 36(2), 63–76.
11.Bullnheimer, B., Hartl, R., & Strauss, C. (1999) A new rank-based version of the Ant System: A computational study. Central European J Operations Res Econom 7, 25–38.
12.Burke, P.A., Etnier, J.L. & Sullivan, H.J. (1998) Navigational Aids and Learmer Control in Hypermedia Instructional Programs. Journal of Educational Computing Research, 18(2), 183-196.
13.Chen, J.N., & Huang, Y.M. (2005) Applying Dynamic Fuzzy Petri Net to Web Learning System. Interactive Learning Environments 13, 159-178.
14.Chiu, C. & Wang, F. (2000) The Influence of Navigation Map Scope on Disorientation of Elementary Students in Learning a Web-based Hypermedia Course. Journal of Educational Computing Research, 22(2), 135-144.
15.Chou, S.W., & Liu, C.H. (2005) Learning effectiveness in a Web-based virtual learning environment: a learner control perspective. Journal of Computer Assisted Learning 21, 65-76.
16.Cohen, E. G., Brody, C. M., & Sapon-Shevin, M. (2004) Teaching cooperative learning: The challenge for teacher education. Albany, NY: State University of New York Press.
17.Compeau, D., Higgins, C.A., & Huff, S. (1999) Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly 23, 145–158.
18.Cummings, J.N. (2004) Work groups, structural diversity, and knowledge sharing in a global organization. Management Science, 50(3), 352–364.
19.Davenport, T.H., & Beck, J.C. (2001) The Attention Economy. Harvard Business School Press, Cambridge, MA.
20.Davis, F.D. (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13, 319-340.
21.Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989) User acceptance of computer technology: A comparison of two theoretical models. Management Research 35, 982-1005.
22.Dennis, A.R., Valacich, J.S., Connolly, T., & Wynne, B.E. (1996) Process structuring in electronic brainstorming. Information Systems Research 7, 268-277.
23.DeSanctis, G., & Poole, M. (1994) Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory. Organization Science 5, 121-147.
24.Doll, W. J., & Torkzadeh, G. (1998) Developing a multidimensional measure of system-use in an organizational context. Information and Management 33, 171 – 185.
25.Dorigo, M., & Gambardella, L.M. (1997) Ant colony system: A cooperative learning approach to the traveling salesman problem. IEEE Trans Evolutionary Computation 1, 53–66.
26.Dorigo, M., Maniezzo, V., & Colorni, A. (1996) Ant system: Optimization by a colony of cooperating agents. IEEE Trans. Systems, Man, Cybernet.-Part B 26, 29–41.
27.Fischer, G. (2001) User Modeling in Human-Computer Interaction. Journal of User Modeling and User-Adapted Interaction 11, 65-86.
28.Giddens, A. (1977) Studies in Social and Political Theory. New York: Basic Books.
29.Giddens, A. (1979) Central problems in social theory: Action, structure, and contradiction in social analysis. Berkley, CA: University of California Press.
30.Giddens, A. (1984) The Constitution of Society, Cambridge: Polity Press
31.Goddard, R.D., Hoy, W.K., & Hoy, A.W. (2000) Collective teacher efficacy: Its meaning, measure, and effect on student achievement. American Education Research Journal 37, 479–507.
32.Gopal, A., Bosrom, R., & Chin, W. (1992) Applying adaptive structuration theory to investigate the process of group support systems use. Journal of Management Information Systems 9, 45-69.
33.Grassé, P.P. (1959) La reconstruction du nid et les coordinations interindividuelles chez bellicositermes natalensis et cubitermes sp. La théorie de la stigmergie: essai d’interprétation du comportement des termites constructeurs. Insectes Sociaux 6, 41–81.
34.Gully, S.M., Devine, D.J., & Whitney, D.J. (1995) A meta-analysis of cohesion and performance: Effects of levels of analysis and task interdependence. Small Group Research 26, 497-525.
35.Guzzo, R.A., & Dickson, M.W. (1996) Teams in Organizations: Recent Research on Performance and Effectiveness. Annual Review of Psychology 47, 307-338.
36.Hair, J.F., Anderson, R.E., Tatham, R.L., & Grablowsky, B.J. (1995) Multivariate Data Analysis, Simon and Schuster, New York.
37.Hansen, M.T, Nohria, N. & Tierney, T. (1999) What’s your strategy for managing knowledge? Harvard Business Review, 77(2), 106–116.
38.Hargadon, A., & Fanelli, A. (2002) Action and possibility: Reconciling dual perspectives of knowledge in organizations. Organization Science, 13, 290-302.
39.Harrison, A.W., & Rainer, R.K. (1992) The influence of individual differences on skill in end-user computing. Journal of Management Information Systems 9, 93–111.
40.Hidding, G.J. & Catterall, S.M. (1998) Anatomy of a learning organization: turning knowledge into capital at Andersen Consulting. Knowledge and Process Management, 5(1), 3–13.
41.Hill, T., Smith, N.D., & Mann, M.F. (1987) Role of efficacy expectations in predicting the decision to use advance technologies: the case of computers. Journal of Applied Psychology 72, 307–313.
42.Huang, Y.M., Kuo,Y.H., Lin, Y.T., & Cheng, S.C. (2008) Toward Interactive Mobile Synchronous Learning Environment with Context-awareness Service. Computers & Education, 51(3), 1205-1226.
43.Huber, G. L. (2003) Processes of decision-making in small learning groups. Learning and Instruction, 13, 255-269.
44.Igbaria, M., & Iivari, J. (1995) The effects of self-efficacy on computer usage. Omega 23, 587–605.
45.Jeng, Y. L., Huang, Y. M., Kuo, Y. H., Chen, J. N., & Chu, W. C. (2005) ANTS: agent-based navigational training system. In Proceedings of International Conference on Web-Based Learning, 320–325.
46.Johnson, D.W., & Johnson, R.T. (1999) Making cooperative learning work. Theory into Practice, 38 (2), 67-73.
47.Kelloway, E.K. (1998) Using LISREL for structural equation modeling: A researcher’s guide. Thousand Oaks, Ca: Sage Publications, Inc.
48.Kennedy J., & Eberhart R. (2001) Swarm Intelligence, Morgan Kaufmann Publishers.
49.Koenemann, J., & Belkin, N. (1996) A Case for Interaction: A Study of Interactive Information Retrieval Behavior and Effectiveness. Proceedings of the SIGCHI Conference, M. Tauber (ed.), ACM Press, New York, 205-212.
50.Kumar, D. & Sherwood, R. (1997) Hypermedia in, Science and Mathematics: Applications in Teacher Education, Problem Solving and Student Testing. Journal of Educational Computing Research, 17(3), 249-262.
51.Lee Y.J. (2004) The effect of creating external representations on the efficiency of web search. Interactive Learning Environments, 12(3), 227-250.
52.Leidner, D.E., & Jarvenpaa, S.L. (1995) The use of information technology to enhance management school education: A theoretical view. MIS Quarterly, 19(3), 265–291.
53.Liu, C.H., Chiang, T.C., & Huang, Y.M. (2007) Assessment of Effectiveness in Web-based Training on Demand. Interactive Learning Environments, 15(3), 217-235.
54.Long, H.B. (1994) Resources related to overcoming resistance to self-direction in learning. In R. Hiemstra & R. Brockett (Eds.), Overcoming resistance to self-directed learning in adult learning. New Directions for Adult and Continuing Education, no. 64. San Francisco: Jossey-Bass.
55.Majchrzak, A., Rice, R. E., Malhotra, A., King, N., & Ba, S. (2000) Technology Adaptation: The Case of a Computer-Supported Inter-Organizational Virtual Team. MIS Quarterly, 24(4), 569-600.
56.McCormack, C., & Jones, D. (1998) Building a web-based education system. New York: Wiley Computer Publishing.
57.McGrath, J.E. (1984) Groups: Interaction and performance. Englewood Cliffs, NJ: Prentice Hall.
58.Merrill, M.D. (1983) Component Display Theory, in Instructional Design Theories and Models. C.M. Reigeluth (ed.), Lawrence Erlbaum Associates, Hillsdale, NJ.
59.Merrill, M.D. (1994) Instructional Design Theory. Educational Technology Publications, Englewood Cliffs, NJ.
60.Milheim, M.D. & Martin, B.L. (1991) Theoretical Bases for the Use of Learner Control: Three Different Perspectives. Journal of Computer-Based Instruction, 18(3), 99-105.
61.Mullen, B., & Copper, C. (1994) The relation between group cohesiveness and performance: An integration. Psychological Bulletin 115, 210-227.
62.Nonaka, I. & Toyama, R., (2002) A firm as a dialectical being: Towards a dynamic theory of a firm. Industrial and Corporate Change, 11(5), 995-1009.
63.Nunnally J.C., & Bernstein I.H. (1994) Psychometric theory (3rd Ed.). New York: McGraw-Hill.
64.Ocasios, W. (1997) Towards an attention-based view of the firm. Strategic Management Journal, 18, 187-206.
65.Okhuysen, G.A., & Eisenhardt, K.M. (2002) Integrating knowledge in groups: how formal interventions enable flexibility. Organization Science, 13(4), 370–386.
66.Orlikowski, W. J. (1992) The duality of Technology: Rethinking the concept of technology in organizations. Organization Science, 3(3), 398-427.
67.Orlikowski, W. J (2000) Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organization. Organization Science,11(4), 404-428.
68.Orlikowski, W. J., & Robey, D. (1991) Information technology and the structuring of organizations. Information Systems Research, 2(2), 143-169.
69.Parpinelli, R.S., Lopes, H.S., & Freitas, A.A. (2002) Data Mining with an Ant Colony Optimization Algorithm. IEEE Trans. on Evolutionary Computation, special issue on Ant Colony algorithms 6, 321-332.
70.Piccoli, G., Ahmad, R., & Ives, B. (2001) Web-based Virtual Learning Environments: A Research Framework and a Preliminary Assessment of Effectiveness in Basic IT Skills Training. MIS Quarterly, 25(4), 401-426.
71.Poole, M.S., & DeSanctis, G. (1989) Understanding the use of group decision support systems: The theory of adaptive structuration. In J. Fulk and C. Steinfield (eds.), Organizations and Communication Technology, 173-193. Newbury Park, CA: Sage Publications.
72.Poole, M.S., Seibold, D.R., & McPhee, R.D. (1985) Group decision-making as a structurational process. Quarterly Journal of Speech 71, 74-102.
73.Prigogine, I. (1976) Order through fluctuation: Self-organization and social system. In E. Jantsch & C. H. Waddington (Eds.), Evolution and consciousness: Human systems in transitions. Reading, MA: Addison-Wesley.
74.Puntambekar, S. (2006) Analyzing collaborative interactions: divergence, shared understanding and construction of knowledge. Computers & Education 47, 332-351.
75.Riley, M. (1994) Tracing skills accumulated through experience: a method of skill auditing. Education & Training, 36 (8), 13–17.
76.Rose, J. (1998) Evaluating the contribution of structuration theory to the IS discipline. In Proceedings of the European Conference on Information Systems (BAETS, W.R.J. Ed). Euro-Arab Management School, Granada.
77.Schunk, D.H.(1989) Self-modeling and children’s cognitive skill learning, Journal of Educational Psychology, 81, 155-163.
78.Shneiderman, B. (1998) Designing the User Interface: Strategies for Effective Human Computer Interaction (3rd Edition), Addison Wesley, Reading, MA.
79.Shotsberger, P.G. (1996) Instructional uses of the World Wide Web: Exemplars and precautions. Educational Technology, 36(2), 47-50.
80.Semet, Y., Lutton, E., & Collet, P. (2003) Ant colony optimisation for E-learning: observing the emergence of pedagogic suggestions. In IEEE SIS'03: IEEE swarm intelligence symposium, 46-52.
81.Serra, R., & Zanarini, G. (1990) Complex Systems and Cognitive Processes. Springer-Verlag, New York, NY.
82.Slavin, R.E. (1978) Students teams and achievement division. Journal of Research and Development in Education 12, 39-49.
83.Soller, A. (2001) Supporting Social Interaction in an Intelligent Collaborative Learning System. International Journal of Artificial Intelligence in Education 12, 40-62.
84.Steinberg, E.R. (1977) Review of Student Control in Computer-Assisted Instruction. Journal of Computer-based Instruction, 3(3), 84-90.
85.Steinberg, E.R. (1989) Cognition and Learner Control: A Literature Review, 1977-88. Journal of Computer Based Instruction, 16(4), 117-124.
86.Stützle, T. & Hoos, H.H. (2000) MAX–MIN Ant system. Future Generation Computation System 16, 889–914.
87.Taylor, S., & Todd, P. (1995) Assessing IT usage: The role of prior experience. MIS Quarterly 19, 561-570.
88.Tsui, K.C., & Liu, J. (2003) Multiagent Diffusion and Distributed Optimization. In Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 169-176.
89.Tyre, M.J., & von Hippel, E. (1997) The situated nature of adaptive learning in organizations. Organization Science, 8(1), 71-83.
90.Veen, W., Collis, B., Santema, S., & Genang, R. (2001) Learner Led Learning in an Online Community. Proceedings of the World Conference EDMEDIA.
91.Vizine, A., deCastro, L., Hruschka, E., & Gudwin, R. (2005) Towards improving clustering ants: An adaptive ant clustering algorithm. Informatica 29, 143-154.
92.Vygotsky, L.S. (1978) Mind in Society: The Development of Higher Psychological Processes. Harvard University Press, Cambridge, MA.
93.Wang, T.I., Wang, K.T., & Huang, Y.M. (2008) Using A Style-Based Ant Colony System for Adaptive Learning. Expert Systems with Applications 36(4), 2449-2464.
94.Wech, B.A., Mossholder, K.W., Steel, R.P., & Bennett, N. (1998) Does work group cohesiveness affect individual’s performance and organizational commitment?:Across-level examination. Small Group Research 29, 472-494.
95.Weiss, G. (1999) Multiagent systems: a modern introduction to distributed artificial intelligence, Cambridge, MA: MIT Press.
96.Williams, M.D. (1996) Learner-control and Instructional Technologies. Handbook of Research for Educational Communications and Technology. D. H. Jonassen (ed.), Simon and Schuster Macmillan, New York.
97.Wooldridge, M., & Jennings, N. (1995) Intelligent agents - theories, architectures and languages. Lecture Notes in Artificial Intelligence, vol. 890. Berlin: Springer.
98.Yang, S.J.H. (2006) Context Aware Ubiquitous Learning Environments for Peer-to-Peer Collaborative Learning. Journal of Educational Technology and Society, 9(1), 188-201.
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