Cognitive mapping decision support for the design of web-based learning environments

International Journal of Web-Based Learning and Teaching Technologies

Volumn 5, Issue 3, 2010, Pages 36-53

  Saadé, Raafat George ^a  

^a Civil and Environmental Engineering   (Canada)

Author keywords

Causal modeling; Cognitive mapping; Design factors; Online learning; TAM

Indexed keywords

COGNITIVE SYSTEMS; COMPUTER AIDED INSTRUCTION; DECISION MAKING; DECISION SUPPORT SYSTEMS; EDUCATION COMPUTING; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; MAPPING; SURVEYS;

CAUSAL MODEL; CAUSAL RELATIONSHIPS; COGNITIVE MAPPING; DESIGN FACTORS; ONLINE LEARNING; PARTIAL LEAST SQUARE (PLS); TECHNOLOGY ACCEPTANCE MODEL; WEB-BASED LEARNING ENVIRONMENT;

E-LEARNING;

EID: 79953092477     PISSN: 15481093     EISSN: 15481107     Source Type: Journal    
DOI: 10.4018/jwltt.2010070103     Document Type: Article

References (39)

1. Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. Management Information Systems Quarterly, 16(2), 227-247. doi:10.2307/249577
2. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. Management Information Systems Quarterly, 4(24), 665-694. doi:10.2307/3250951
3. Alavi, M., & Leidner, D. E. (2001). Research commentary: Technology-mediated learning-A call for greater depth and breadth of research. Information Systems Research, 12(1), 1-10. doi:10.1287/ isre.12.1.1.9720
4. Arkkelin,D.(2003). Putting Prometheus' feet to the fire: Student Evaluations of Prometheus in relation to their attitudes towards and experience with computers, computer self-Efficacy and preferred learning style.
5. Benbasat, I., & Barki, H. (2007). Quo vadis, TAM? JAIS, 8(4), 211-218.
6. Chau, P. Y. K. (1996). An empirical assessment of a modified technology acceptance model. Journal of Management Information Systems, 13(2), 185-204.
7. Chin, W. (1998). Structural equation modeling in IS research. ISWorld Net Virtual Meeting Center at Temple University. Retrieved from http//interact.cis. temple.edu/~vmc
8. Davies, R. S. (2003). Learner intent and online courses. The Journal of Interactive Online Learning, 2(1).
9. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319-339. doi:10.2307/249008
10. Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum.
11. DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95. doi:10.1287/isre.3.1.60
12. Eklund, J., & Eklund, P. (1996). Integrating the web and the teaching of technology: Cases across two universities. In Proceedings of the AusWeb96, the second Australian worldwideweb conference, Gold Coast, Australia.
13. Faigley, L. (1990). Subverting the electronic network: Teaching writing using networked computers . In Daiker, D. A., & Morenberg, M. (Eds.), The Writing Teacher as Researcher: Essays in the Theory and Practice of Class-based Research (pp. 290-311). Portsmouth, NH: Boynton/Cook.
14. Feenberg, A. (1987). Computer conferencing and the humanities. Instructional Science, 16, 169-186.
15. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior. Reading, MA: Addision- Wesley.
16. Gattiker, U. E. (1984). Managing computer-based office information technology: A process model for management. In Hendrick, H., & Brown, O. (Eds.), Human factors in organizational design. Amsterdam, The Netherlands: North-Holland.
17. Gupta, S., & Bostrom, P. R. (2009). Technologymediated learning: A comprehensive theoretical model. Journal of the Association for Information Systems, 10(9), 686-714.
18. Hong, S., & Schrum, L. (2002). Dimensions and strategies for online success: Voices from experienced educators. JALN, 6(1), 57-67.
19. Jiang, M., & Ting, E. (2000). A study of factors influencing students' perceived learning in a Webbased course environment. International Journal of Educational Telecommunications, 6(4), 317-338.
20. Kang, I., Lee, C. K., Lee, S., & Choi, F. (2007). Investigation of online community voluntary behavior using cognitive map. Computers in Human Behavior, 23(1), 111-126. doi:10.1016/j.chb.2004.03.039 (Pubitemid 44278486)
21. Krendl, K. A., & Lieberman, D. A. (1988). Computers and learning: A review of recent research. Journal of Educational Computing Research, 4(4), 367-389.
22. Lee, C. K., & Lee, S. (2003). A cognitive map simulation approach to adjusting the design factors of the electronic commerce web sites. Expert Systems with Applications, 24, 1-11. doi:10.1016/ S0957-4174(02)00078-7 (Pubitemid 35452260)
23. Lee, K., & Kim, H. (1997). A fuzzy cognitive mapbased bi-directional inference mechanism: An application to stock investment analysis. International Journal of Intelligent Systems in Accounting Finance & Management, 6, 41-57. doi:10.1002/(SICI)1099- 1174(199703)6:1<41::AID-ISAF119>3.0.CO;2-J
24. Liu, I., Chang, C. M., Sun, S. Y., Wible, D., & Kuo, C. H. (2010). Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community. Computers & Education, 54(2), 600-610. doi:10.1016/j.compedu.2009.09.009
25. Montazemi, R. A., & Conrath, W. D. (1986). The use of cognitive mapping for information requirements analysis. Management Information Systems Quarterly, 10(1), 45-56. doi:10.2307/248879
26. Oney, Z. (1999). Building an internet-based learning environment in higher education: Learner information systems and the life cycle approach. Informing Science, 2(2), 45-52.
27. Pool, M. S., & DeSanctis, G. (2003). Structuration theory in information systems research: Methods and controversies . In Whitman, M. E., & Woszczynski, A. B. (Eds.), The handbook of information systems research. Hershey, PA: IGI Global.
28. Saadé, G. R. (2003). Web-based educational information system for enhanced learning (EISEL): Student assessment. Journal of Information Technology Education, 2, 267-277.
29. Saadé, G. R. (2007). Dimensions of perceived usefulness: Towards enhanced assessment. Decision Sciences Journal of Innovative Education, 5(2), 289-310. doi:10.1111/j.1540-4609.2007.00142.x
30. Saadé, G. R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in online learning: An extension of the technology acceptance model. Information & Management, 42, 317-327. doi:10.1016/j. im.2003.12.013
31. Saadé, G. R., & Kira, D. (2009). The emotional factor of e-learning. Journal of Asynchronous Learning Networks, 13(4), 57-72.
32. Sunal, W. D., Sunal, S. C., Odell, M. R., & Sundberg, A. C. (2003). Research-supported best practices for developing online learning. Journal of Interactive Online Learning, 2(1), 1-40.
33. Triandis, C. H. (1979). Values, attitudes, and interpersonal behavior, Nebraska Symposium on Motivation: Beliefs, Attitudes and Values (pp. 159-295). Lincoln, NE: University of Nebraska Press.
34. UMass Lowell. (2009). How do adult foreign language learners experience the opportunities presented by computer games as a self-study tool? University of Massachusetts Lowell. Retrieved from http:// www.uml.edu/
35. Venkatesh, V. (1999). Creation of favorable user perceptions: Exploring the role of intrinsic motivation. Management Information Systems Quarterly, 2(23), 239-260. doi:10.2307/249753
36. Venkatesh, V., Morris, M. G., Davis, F. D., & Davis, G. B. (2003). User acceptance of information technology: Toward a unified view. Management Information Systems Quarterly, 27, 425-478.
37. Wlodkowski, R. J. (1999). Enhancing adult motivation to learn. Revised edition. A comprehensive guide for teaching all adults. San Francisco, CA: Jossey-Bass.
38. Zhang, S., Zhao, J., & Tan, W. (2008). Extending TAM for online learning systems: An intrinsic motivation perspective. Tsinghua Science and Technology, 13(3), 312-317. doi:10.1016/S1007-0214(08)70050-6 (Pubitemid 351726470)
39. Zhang, S. S., Chen, S., & Bezdek, J. C. (1989). Pool2: A generic system for cognitive map development and decision analysis. IEEE Transactions on Systems, Man, and Cybernetics, 19(1), 31-39. doi:10.1109/21.24529