• 沒有找到結果。

The main purpose of this study is to propose a research model to evaluate the

learners’ intention to use an online learning community. Then, we provide guidelines

to establish an online learning community in the future for reference. Besides, we

describe the further development of such communities from the perspective of three

external variables. In terms of Online Course Design, because students have different

proficiency levels, the system compiles each student’s profile in advance in order to

design online courses adapted for individual students. We hope that after the course, a

unit test will be held, and the system will record the test scores, which will form the

basis for adjusting the level of difficulty of the next course. In terms of User-interface

Design, we provide learners with comfortable and easy to read user-centered and

personalized interfaces. We also provide a learning agent mechanism to guide

students to connect to the correct learning path, and prevent information overload. In

terms of Previous Online Learning Experience, in addition to learning through a

Web-based browser, we let learners adopt different types of information technology,

such as Tablet PCs, PDAs, or mobile phones, so that they can have different learning

experiences. At the same time, we have to ensure that learners feel the system is both

easy to use and useful. Learners can also attain significant benefits through interaction

with their peers. As a result, learners’ Intention to Use an Online Learning

Community would be stronger.

The contribution of this research is that it adds external variables to the original

TAM, and uses an extra perceived variable to explore the use of an online learning

community. As this is an English learning community, we now list several

implications of the research results as guidelines for developing future online English

learning communities.

(1) The Intention to Use an Online Learning Community is strongly and directly

affected by Perceived Usefulness and indirectly by Online Course Design. Thus,

when developing an online English learning community, we recommend that a

comprehensively designed online English course should be the first priority. By

developing user-centered programs, we will be better able to satisfy the needs of

users.

(2) Users should be encouraged to gain more online learning experience and to use

information technology to learn English. For example, users could surf other

English learning websites so that it is easier to adapt to a possibly more

complicated online learning environment in the future.

(3) Some advanced teaching aids should be considered when designing the user

interface. For example, English vocabulary and phrases could be displayed by

multimedia techniques to strengthen learners’ interest in learning English online.

References

Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Quarterly, 16(2), 227-248.

Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Engelwood Cliffs, N.J.: Prentice-Hall.

Alderfer, C. P. (1969). An empirical test of a new theory of human needs.

Organizational Behavior and Human Performance.

Arbaugh, J. B. (2002). Managing the on-line classroom A study of technological and behavioral characteristics of web-based MBA courses. Journal of High Technology Management Research, 13, 203–223.

Arbaugh, J. B., & Duray, R. (2002). Technological and structural characteristics, student learning and satisfaction with Web-based courses: An exploratory study of two online MBA programs. Management and Learning, 33(3), 331–347.

Augar, N., Raitman, R., & Zhou, W. (2004). From e-learning to virtual learning community: Bridging the gap. Paper presented at ICWL ’04, Beijing, China.

Ausubel, D. P. (1968). Educational psychology: A cognitive view. New York: Holt, Rhinehart and Winston, Inc.

Berge, Z. L. (1999). Interaction in post-secondary web-based learning. Educational Technology, 39(1), 5–11.

Bettencourt, A. (1993). The construction of knowledge: A radical constructivist view. In Tobin, K. (Ed.), The Practice of Constructivism in Science Educational, 39-50. Washington, DC: AAAS Press.

Boczkowsk, P. J. (1999). Mutual Shaping of Users and Technologies in a National Virtual Community. Journal of communication, 49(2), 86-108.

Boomsma, A. (1987). The robustness of maximum likelihood estimation in structural equation models. New York: Cambridge University Press.

Brown, A., & Campione, J. C. (1994). Guided discovery in a community of learners.

In Kate, M. (Eds.), Classroom lessons: integrating cognitive theory and classroom practice, 229-270.

Cantoni, V., Cellario, M., & Porta, M. (2004). Perspectives and challenges in e-learning: towards natural interaction paradigms. Journal of Visual Languages

& Computing, 15(5), 333-345.

Cereijo, M.V.P.,Young, J., & Wilhelm, R.W. (1999). Factors facilitating learner participation in asynchronous Web-based courses. Journal of Computing in Teacher Education, 18(1), 32–39.

Chang, C. C. (2004). A case and implications of implementing and evaluating an online virtual learning community environment. In Proceedings of 16th World Conference on Educational Multimedia, Hypermedia and Telecommunications, 2841-2846, Lugano, Switzerland.

Chang, C. H. (1994). Contemporary psychology. Taipei, Tung Hua Press.

Collins, A., & Bielaczyc, K. (1997). Dreams of technology-supported learning communities. The 6th International Conference on Computer-Assisted Instruction, 1-8, Taipei, Taiwan.

Cyr, D., Head, M., & Ivanov, A. (2009). Perceived interactivity leading to e-loyalty:

Development of a model for cognitive-affective user responses. International Journal of Human-Computer Studies, 67, 850-869.

Dabbagh, N., & Bannan – Ritland, B. (2005). Online Learning: Concepts, Strategies, and Application. Pearson Merrill Prentice Hall.

Damon, W., & Phelps, E. (1989), Critical distinctions among three approaches to peer education. International Journal of Educational Research, 13(1), 7-19.

Davis, F. D. (1986). Technology acceptance model for empirically testing new end-user information systems: theory and results. MA, USA: Massachussetts

Institute of Technology.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-339.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, 982-1003.

Davis, F. D. (1993). User acceptance of information technology: system haracteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38, 475-487.

Davis, S., & Wiedenbeck, S. (2001). The mediating effects of intrinsic motivation, ease of use and usefulness perceptions on performance in first-time and subsequent computer users. Interacting with computers, 13, 549-580.

Dede, C. (1996). The evolution of distance education: emerging technologies and distributed learning. American Journal of Distance Education, 10(2), 4-36.

Dennis, A. R. (1998). Lessons from the Early Adopters of Web Groupware. Journal of Management Information System, 14(4), 65-86.

Evans, C., & Edwards, M. (1999). Navigational interface design for multimedia courseware. Journal of Educational Multimedia and Hypermedia, 8(2), 151-174.

Fink, L. D. (2003). Creating significant learning experiences: An integrated approach to design college courses. San Francisco: Jossey-Bass.

Fishbein, M. (1980). A theory of reasoned action: Some applications and implementations. Lincoln, NB, USA: University of Nebraska Press.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: an introduction to theory and research. MA: Addison-Wesley Publishing Company.

Fishbein, M., & Ajzen, I. (1977). Attitude and opinions. Annual review of Psychology, 23, 487-544.

Foreman, S. K. (1999). Marketing: Marketing organization and virtual communities, Manager Update, 11(1), 11-21.

Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variable and measurement error. Journal of Marketing Research, 18, 39-50.

Gao, Y. (2005). Applying the technology acceptance model to educational hypermedia: A field study. Journal of Educational Multimedia and Hypermedia.

14 (3), 237-247.

Harter, S. (1981). A new self-report scale of intrinsic vs. extrinsic orientation in the classroom: motivational and informational component. Developmental Psychology, 17, 300-312.

Hartley, K., & Bendixen, L.D. (2001). Educational research in the Internet age:

Examining the role of individual characteristics. Educational Researcher, 30(9), 22–26.

Heckscher, C. & Donnellon, A. M. (1994). The post-bureaucratic organization, London: Sage Publications (Eds.).

Hong, M. C. (1999). Web-based instruction. Taipei, Hua Cai Press.

Hooper, S. (1992). Cooperative learning and computer-base instruction. Educational Technology Research & Development, 40(3), 21-38.

Horrigan, J. B. (Ed.). (2006). Home Broadb & Adoption. Pew Internet & American Life Project, 10.

Hoyle, R. H. (1995). The structural equation modeling approach : basic concepts and fundamental issues. In R. H. Hoyle (Ed.), Structural equation modeling : Concepts, issues, and applications, Thousand Oaks, CA : Sage Publications.

Hoyle, R. H., & Panter, A. T. (1995). Writing about structural equation models.

Thousand Oaks, CA: Sage.

Huang, B. L. (2001). From the development of online learning to organization’s

online training. e-Organization Manager’s Report, 19, 12-23.

Huang, F. S. (1996). Enhancement of learning motivation of adult learners. Adult Education, 34.

Hwang, Y., & Kim, D. J. (2007). Customer self-service systems: The effects of perceived web quality with service contents on enjoyment, anxiety, and e-trust.

Decision Support Systems, 43, 746-760.

IBM. (2004). User-centered design. (August 10, 2004). Retrieved from http://www.306.ibm.com/ibm/easy/eou_ext.nsf/publish/570

Igbaria, M., Iivari, J., & Maragahh, H. (1995). Why do individuals use computer technology? A finish case study. Information & Management, 29, 227-238.

Igbaria, M., Guimaraes, T., & Davis, G. B. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems, 11(4), 87-114.

Jay, A. (1998). A trainer’s guide to web-based instruction. American Society for Training & Development.

Johnson, R. T., & Johnson, D. W. (1994). Learning together in the social studies classroom. In Stahl, R. J. (Ed.), Cooperative learning in social studies: A handbook for teachers. Menlo Park CA: Addison-Wesley Publishing Company, 51-77.

Jones, M. G., Farquhar, J. D., & Surry, D. W. (1995). Using metacognitive theories to design user interfaces for computer-based learning. Educational Technology, 35(4), 12-22.

Joreskog, K. G., & Sorbom, D. (1993). LISREL8: Structural equation modeling with the SIMPLIS command language. Hillsdale, NJ: Erlbaum.

Kasworm, C. E., & Marienau, C. A. (1997). Principles for assessment of adult learning. San Frncisco: Jossey-Bass Publishers.

Keller, J. M. (1983). Motivational design of instruction. In Reigeluth, C. M. (Ed.),

Instructional design theories and models. Hillsdale, NJ: Erlbaum.

Kelloway, E. K. (1998). Using LISREL for structural equation modeling: A research’s guide. Thousand Oaks, CA: Sage.

Landry, B. J. L., Griffeth, R., & Hartman, S. (2006). Measuring student perceptions of blackboard using the technology acceptance model. Decision Sciences Journal of Innovative Education, 4, 87-99.

Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2005). Acceptance of internet-based learning medium: The role of extrinsic and intrinsic motivation. Information &

Management, 42, 1095-1104.

Lewis, R. (2002). Learning communities: Old and new. International Conference on Computers in Education, 6-13, Auckland, New Zealand.

Li, Y. Y. (2001). Learning guidance: The application of learning psychology. Taipei, Psychological Publishing Co., Ltd.

Li, Q. X., Ma, R. C., & Li, Z. N. (2002). Development of web-based learning and web-based schools and the class to teachers’ professional performance.

Information Education Magazine, 79, 2-12.

Liaw, S. –S. (in press). Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system. Computers & Education.

Liaw, S. S., Huang, H. M., & Chen, G. D. (2007). An activity-theoretical approach to investigate learners’ factors toward e-learning systems. Computers in Human Behavior, 23, 1906-1920.

Lin, C. S., Wu, S., & Tsai, R. J. (2005). Integrating perceived playfulness into expectation- confirmation model for web portal context. Information &

Management, 42, 683-693.

Liu, I. F., Chen, M. C., & Sun, Y. S. (2006). The Design of a Web-Based Learning Platform: A Case Study in Taiwan. In Proceedings of the 14th International Conference on Computers in Education (ICCE2006), Beijing, China.

Liu, I. F., Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C. H. (2010). Extending TAM model to explore the factors that affect the intention to use an online learning community. Computers & Education, 54, 600-610.

Leflore, D. (2000). Theory Supporting design guidelines for web-based instruction.

Instructional and Cognitive impacts of web-based Education, PA: Idea Group Publishing.

Lohr, L. L., Falro, D. A., Hunt, E., & Johnson, B. (2007). Improving the usability of Distance learning through template modification. Flexible learning in an information society, Idea Group Inc.

Maslow, A. H. (1954). Motivation and Personality. New York: Harper & Brothers Publishers.

Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2, 173-191.

Martin-Michiellot, S., & Mendelsohn, P. (2000). Cognitive load while learning with a graphical computer interface. Journal of Computer Assisted Learning, 16(4), 284-293.

McClelland, D. C., Atkinson, J., Clark, R.W., & Lowell, E. L. (1953). The achievement motive. New York: Appleton-Century-Crofts.

McGiven, J. (1994). Designing the learning environment to meet the needs of distant students. Journal of Technology and Learning, 27(2), 52–57.

McKnight, C., Dillon, A., & Richardson, J. (1996). User-centered design of hypertext/hypermedia for education. In Kozma R. B. (Ed.), Handbook of Research for Educational Communications and Technology, Association for Educational Communications and Technology, 622-633.

McMillan, S. J., & Hwang, J. S. (2002). Measures of perceived interactivity: An exploration of the role of direction of communication, user control, and time in shaping perceptions of interactivity. Journal of Advertising, 31(3), 29-42.

Metros, S. E., & Hedberg, J. G. (2002). More than just a pretty interface: The role of the graphical user interface in engaging e-learners. Quarterly Review of Distance Education, 3(2), 191-205.

Middleton, A. J. (1997). How effective is distance education? International Journal of Instructional Media, 24(2), 133-137.

Miller, S. M., & Miller, K. L. (2000). Theoretical and practical considerations in design of web-based instruction. In Abbey, B. (Ed.), Instructional and cognitive impacts of web-based education. London: Idea Group Publishing.

Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38, 217-230.

Moore, M. (1984). On a theory of independent study. In Sewart, D., Keegan, D., &

Holmberg, B. (Eds.), Distance Education. New York: Routledge.

Najjar, L. (1996). Multimedia information and learning. Journal of Educational Multimedia and Hypermedia, 5, 129-150.

Newhagen, J. E., Codes, J. W., & Levy, M. R. (1995). Audience scope and the perception of interactivity in viewer mail on the Internet. Journal of communication, 45(3), 164-175.

Ngai, E. W. T., Poon, J. K. L., & Chan, Y. H. C. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48, 250-267.

Nonaka, I., & Nishiguchi, T. (2001). Knowledge emergence, social, technical, and evolutionary dimensions of knowledge creation. Oxford: Oxford University Press.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York, NY: McGraw-Hill.

Ong, C. –S., Lai, J. –Y., & Wang, Y. –S. (2004). Factors affecting engineers’

acceptance of asynchronous e-learning system in high-tech companies.

Information & Management, 41, 795-804.

Palloff, R. M., & Pratt, K. (2007). Building online learning communities: Effective strategies for the virtual classroom. Jossey-Bass, San Francisco, CA.

Pan, C. -C., Gunter, G., Sivo, S., & Cornell, R. (2005). End-user acceptance of a learning management system in two hybrid large-sized introductory undergraduate courses: A case study. Journal of Educational Technology System, 33(4), 355-365.

Perkins, D. N. (1991). What constructivism demands of the learner. Education Technology, 19-21.

Phillips, D. C. (1995). The good, the bad, and the ugly: The many faces of constructivism. Educational Research, 24(7), 5-12.

Piaget, J. (1954). The construction of reality in the child. NY: New York Basic Books.

Picciano, A. G. (2001). Distance learning: Making connections across virtual space and time. Upper Saddle River, NJ: Merrill/Prentice Hall.

Pituch, K. A., & Lee, Y. K. (2006). The influence of system characteristics on e-learning use. Computers and Education, 47, 222-244.

Porter, L. R. (1997). Creating the virtual classroom: distance learning with the internet. New York: Wiley Computer Publishing.

Qiu, Q. H. (2000). A Study of Web-Based Cooperative Learning Environment. The 8th International Conference on Computer-Assisted Instruction.

Quinn, J. B., Anderson, P., & Finkelstein, S. (1996). Management professional intellect marketing the most of the best. Havard Business Review, 71-80.

Raaij, E. M. V., & Schepers, J. J. L. (in press). The acceptance and use of a virtual learning environment in China. Computers & Education.

Reed, W. M., & Geissler (1995). Prior computer-related experience and hypermedia metacognition. Computers in Human Behavior, 11(314), 581-600.

Reed, W. M., & Oughton, J. M. (1997). Computer experience and interval-based hypermedia navigation. Journal of Research on Computing in Education, 30(1), 38-52.

Reed, W. M., Oughton, J. M., Ayersman, D. J., Ervin, J. R. Jr., & Giessler, S. F.

(2000). Computer experience, learning style, and hypermedia navigation.

Computers in Human Behavior, 16, 619-628.

Roca, J. C., & Gagne, M. (2008). Understanding e-learning continuance intention in the workplace: A self-determination theory perspective. Computers in Human Behavior, 24, 1585-1604.

Rovai, A. P. (2002). Sense of community, perceived cognitive learning, and persistence in asynchronous learning networks. Internet and Higher Education, 5, 312-319.

Rovai, A. P. (2004). A constructivist approach to online college learning. The internet and higher education. 7(2), 79-93.

Salomon, G. (1993). Distributed cognition: Psychological and educational considerations. Cambridge University Press.

Schumacker, R. E., & Lomax, R. G. (1996). A beginner’s guide to structural equation modeling. Mahwah, NJ: Lawrence Erlbaum Associates.

Selim, H. M. (2003). An empirical investigation of student acceptance of course websites. Computers & Education, 40, 343-360.

Shih, P. –C., Muroz, D., & Sanchez, F. (2006). The effect of previous experience with information and communication technologies on performance in a web-based learning program. Computers in Human Behavior, 22(6), 962-970.

Slavin, R. E. (1990). Cooperative Learning: Theory, Research, and Practice.

Englewood.

Song, L., Singleton, E. S., Hill, J. R., & Koh, M. H. (2004). Improving online learning: Student perceptions of useful and challenging characteristics. The

internet and higher education, 7(1), 59-70.

Straub, D. W., Keil, M., & Brenner, W. H. (1997). Testing the technology acceptance model across cultures: a three country study. Information & Management, 33, 1-11.

Tao, Y. H., Cheng, C. J., & Sun, S. Y. (2009). What influences college students to continue using business simulation games? The Taiwan experience. Computers

& Education, 53, 929-939.

Umiker-Sebeok, J., & Kim, G. (1999). The social matrix of information need and behavior: Community. http://www.slis.indiana.edu/umikerse/L503/commun.htm

Urdan, T. A., & Weggen, C. C. (2000). Corporate e-Learning: Exploring a new frontier. WR Hambrecht Co, 9-14.

Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: development and test. Decision Sciences, 27, 451-481.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204.

Venkatesh, V. (2001). Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model.

Information Systems Research, 11(4), 342-365.

Vygotsky, L. S. (1926). The historical meaning of the crisis in psychology.

Published in 1982.

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.

Wang, S. K., & Yang, C. (2005). The interface design and the usability testing of a fossilization web-based learning environment. Journal of Science Education and Technology, 14(3), 305-313.

Wedemeyer, C. A. (1988). Back door learning in the learning society. In Sewart, D.,

Keegun, D., & Holmberg, B. (Eds.), Distance Education. New York: Routledge.

Wenger, E., McDermott, R., & Snyder, W. (2002). Cultivating communities of practice. Harvard business school press.

Wible, D., Kuo, C. H., & Tsao, N. H. (2004). Contextualizing Language Learning in the Digital Wild: Tools and a Framework. In Proceedings of IEEE International Conference on Advanced Learning Technologies (ICALT2004), Joensuu, Finland.

Wible, D., Kuo, C. H., Chen, M. C., Taso, N. L., & Hong, C. F. (2006). A Ubiquitous Agent for Unrestricted Vocabulary Learning in Noisy Digital Environments. In Proceedings of the 8th International Conference on Intelligent Tutoring Systems (ITS2006), Jhongli, Taiwan.

Wiggins, G. P. (1998). Educative assessment: Designing assessments to inform and improve student performance. San Francisco: Jossey-Bass.

Wikipedia. (2009). Retrieved from http://zh.wikipedia.org

Winkelen, C. van (2003). Inter-organizational communities of practice.

Elearningeuropa.info.

Wu, G. (1999). Perceived interactivity and attitude toward website. Paper presented at 1999 Annual Conference of American Academy of Advertising, Albuquerque.

Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59, 431-449.

Yu, J., Ha, I., Choi, M., & Rho, J. (2005). Extending the TAM for a t-commerce.

Information & Management, 42, 965-976.

Zhang, S. Z. (1999). Essentials of Practicing Teaching Materials Instructions – Methods and Research, Taipei, Wu-Nan Culture Press.

Zou, J. P. (2000). e-Learning is the only way to win in knowledge organizations.

Newsletter for Information Professionals, 59, 1-4.

Appendix A.

Measurement items used in study of learner’s intention to use an online learning community

Item Statement Reference

Online Course Design (OCD) Self-developed

OCD1 1. The course content is interesting OCD2 2. The course content level is mid-range OCD3 3. The course content meets my needs

OCD4 4. In general, I am satisfied with the design of the course content and quality

User-interface Design (UID) Self-developed

UID1 1. The layout design of the website makes it easy to read

UID2 2. The font style, color and layout of the interface make it comfortable for me to read

UID3 3. In general, I am satisfied with the design of the interface of this website

Previous Online Learning Experience (POLE) Self-developed POLE2 2. I feel it would easier to operate the system if I

had previous experience of using it

POLE3 3. I will have a better understanding of how to use the system if it has a function for online guidance

POLE4 4. I will have a better understanding of how to use PU1 1. I could improve my learning performance by

using this system

PU2 2. I could enhance my language learning proficiency by using this system

PU3 3. I could increase my learning productivity by using this system

PU4 4. I think using this system helps me learn Perceived Ease of Use (PEOU)

Davis (1989, 1993); Venkatesh (2001);

Venkatesh &

Davis (1996) PEOU1 1. This system makes people feel that the interface

design and information delivery are clear and easy to understand

Perceived Interaction (PI) Self-developed

PI1 1. I usually discuss relevant English learning topics with others on the discussion board

PI2 2. I usually send e-mails to others as a way of communicating

PI3 3. I usually engage in simultaneous learning interaction with others via Instant Messenger PI4 4. In general, I feel this Web-based learning

environment provides good opportunities for interaction with other users

Intention to Use an Online Learning Community (IUOLC)

Davis (1989, 1993); Venkatesh (2001);

Venkatesh &

Davis (1996) IUOLC1 1. I intend to use this system for activities that

involve English learning

IUOLC2 2. I will reuse this system for relevant learning activities

Appendix B

Interview questions items used

Location of school:

□ Northern Taiwan

□ Central Taiwan

□ Southern Taiwan

Gender: □ Male □ Female

Grade: □ Freshman □ Sophomore □ Senior

Have you ever had the experience in participation in the contest before?

□ Yes □ No

Have you ever had the experience in getting rewards after the contest before?

□ Yes □ No

Registration: □ Volunteer □ Teachers’ encouragement

1. Why do you want to join in IWiLL online learning community?

2. What reasons do you participate in Reading Challenge contest?

2. What reasons do you participate in Reading Challenge contest?

相關文件