| 參考文獻 |
Abrahamson, L. (2006). A brief history of networked classrooms: Effects, cases, pedagogy, and implications. In D. A. Banks (Ed.), Audience response systems in higher education (pp. 1–25). Hershey, PA: Information Science Publishing.
Aiken, L. R. (1983). Number of response categories and statistics on a teacher rating scale. Educational and Psychological Measurement, 43(2), 397-401.
Allen, D., & Tanner, K. (2005). Infusing active learning into the large-enrolment biology class: Seven strategies, from the simple to complex. Cell Biology Education, 4, 262–268.
AJZEN, I. AND M. FiSHBEIN, Understanding Attitudes and Predicting Social Behavior. Prentice-Hall, Englewood Cliffs, NJ, 1980.
Barber, M., & Njus, D. (2007). Clicker evolution: seeking intelligent design. CBE—Life Sci. Educ., 6, 1-8.
Beatty, I. (2004). Transforming student learning with classroom communication systems. EDUCAUSE Research Bulletin, (3), 2004, 1–13. Retrieved Nov 3, 2007 from .
Bergtrom, G. (2006). Clicker sets as learning objects. Interdisciplinary Journal of Knowledge and Learning Objects, 2. Retrieved Nov 3, 2007 from .
Blasco-Arcas, Lorena, Buil, Isabel, Hernández-Ortega, Blanca, & Sese, F. Javier. (2013). Using clickers in class. The role of interactivity, active collaborative learning and engagement in learning performance. Computers & Education, 62, 102-110.
Bode, M., Drane, D., Kolikant, Y. B. D., & Schuller, M. (2009). A clicker approach to teaching calculus. Notices of the AMS, 56(2), 253–256.
Brady, Melanie, Seli, Helena, & Rosenthal, Jane. (2013). "Clickers" and metacognition: A quasi-experimental comparative study about metacognitive self-regulation and use of electronic feedback devices. Computers & Education, 65, 56-63.
Brewer, C. (2004). Near real-time assessment of student learning and understanding in biology courses. BioScience, 54(11), 1034-1039.
Brown, G. , Widing, R.E.II, and Coulter, R.L. (1991). Customer evaluation of retail salespeople utilizing the SOCO scale: Replication, extension, and application. Journal of Academy of Marketing Science, 9, 347-351.
Bullock, D. W., LaBella, V. P., Clinghan, T., Ding, Z., Stewart, G., & Thibado, P. M. (2002). Enhancing the student-instructor interaction frequency. The Physics Teacher, 40, 30–36.
Caldwell, Jane E. (2007). Clickers in the Large Classroom: Current Research and Best-Practice Tips. Life Sciences Education, 6(1), 9-20.
Chan, S.C., & Lu, M.T. (2004). Understanding Internet Banking Adoption and Use Behavior : A Hong Kong Perspective. Journal of Global Information Management, 12(3), 21-43.
Crouch, C. H., & Mazur, E. (2001). Peer instruction: Ten years of experience and results. American Journal of Physics, 69(9), 970–977.
Cue, N. (1998, December). A universal learning tool for classrooms. Paper presented at the In Proceedings of the First Quality in Teaching and Learning Conference.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22, 1111-1132.
Draper, S. W., & Brown, M. I. (2004). Increasing interactivity in lectures using an electronic voting system. Journal of Computer Assisted Learning, 20(2), 81–94.
Fagan, A. P., Crouch, C. H., & Mazur, E. (2002). Peer instruction: Results from a range of classrooms. The Physics Teacher, 40(4), 206–209.
El-Rady, J. (2006). To click or not to click: That’s the question. Innovate Journal of Online Education, 2(4). Retrieved Nov 3, 2007 from .
Fies, C., & Marshall, J. (2006). Classroom response systems: A review of the literature. Journal of Science Education and Technology, 15(1), 101-109.
FISHBEIN, M. AND I. AJZEN, Belief, Attitude, Intention and Behavior: An Introdluction to Theorv and Research, Addison-Wesley, Reading, MA, 1975.
Greer, L., & Heaney, P. J. (2004). Real-time analysis of student comprehension: An assessment of electronic student response technology in an introductory earth science course. Journal of Geoscience Education, 52(4), 345–351.
Herrington, J., & Oliver, R. (2000). An instructional design framework for authentic learning environments. Educational Technology Research & Development, 48(3), 23-48.
Hoekstra, A. (2008). Vibrant student voices: exploring effects of the use of clickers in, large college courses. Learning, Media and Technology, 33(4), 329–341.
Huang, Y. M., Lin, Y. T., & Cheng, S. C. . (2009). An adaptive testing system for supporting versatile educational assessment. Computers & Education, 52(1), 53-67.
Hwang, G. J., Chu, H. C., Shih, J. L., Huang, S. H., & Tsai, C. C. (2010). A decision-tree-oriented guidance mechanism for conducting nature science observation activities in a context-aware ubiquitous learning environment. Educational Technology & Society, 13(2), 53-64.
Jackson, M., Ganger, A. C., Bridge, P. D., & Ginsburg, K. (2005). Wireless handheld computers in the undergraduate medical curriculum. Medical Education Online, 10(5). Retrieved Nov 3, 2007 from .
James, M. C., & Willoughby, S. (2011). Listening to students conversations during clicker questions: what you have not heard might surprise you. American Journal of Physics,79(1), 123.
Judson, E., & Sawada, D. (2002). Learning from past and present: Electronic response systems in college lecture halls. Journal of Computers in Mathematics and Science Teaching, 21(2), 167-181.
Kaleta, R., & Joosten, T. (2007). Student response systems: A University of Wisconsin system study of clickers. EDUCAUSE Research Bulletin, 2007(10), 1–12.
Kay, Robin H. (2009). Examining gender differences in attitudes toward interactive classroom communications systems (ICCS). Computers & Education 52, 730-740.
Kay, Robin H., & LeSage, Ann. (2009). Examining the benefits and challenges of using audience response systems: A review of the literature. Computers & Education(53), 819–827.
Kelman, H. C. (1985). Compliance, identification, and internalization: Three processes of attitude change. . The Journal of Conflict Resolution, 2(1), 51-60.
Kennedy, G. E., & Cutts, Q. I. (2005). The association between students’ use of electronic voting systems and their learning outcomes. Journal of Computer Assisted Learning, 21(4), 260–268.
Kieras, D.E., & Polson, P.G. . (1985). An Approach to the Formal Analysis of User Complexity. . International Journal of Man-Machine Studies, 22, 365-394.
Latessa, R., & Mouw, D. (2005). Use of audience response system to augment interactive learning. Family Medicine, 37(1), 12–14. Retrieved Nov 3, 2007 from .
Leng, B. A.de, Dolmans, D. H. J. M., Jöbsis, R. , Muijtjens, A. M. M., & Vleuten, C. P. M.van der. (2009). Exploration of an e-learning model to foster critical thinking on basic science concepts during work placements. Computers & Education, 53(1), 1-13.
Lin, C. F. (2005). A Study of Customer Intention and Its Antecedents on e-Commerce of Travel industry. (Master Thesis), Dong Hwa Hualien, Taiwan.
Ma, W. W.-K., Andersson, R., & Streith, K.-O. (2005). Examining user acceptance of computer technology: an empirical study of student teachers. Journal of Computer Assisted Learning, 21, 387–395.
MacGeorge, E. L., Homan, S. R., Dunning, J. B., Elmore, D., Bodie, G. D., Evans, E., et al. (2008). Student evaluation of audience response technology. Educational Technology Research and Development, 56, 125–145.
MASTERS, E. R. (1974). THE RELATIONSHIP BETWEEN NUMBER OF RESPONSE CATEGORIES AND RELIABILITY OF LIKERT‐TYPE QUESTIONNAIRES1. Journal of Educational Measurement, 11(1), 49-53.
Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2, 192-222.
Morin, D., Thomas, J. D. E., Barrington, J., Dyer, L., & Boutchkova, M. (2009). The “clicker” project: a scholarly approach to technology integration. In P. Daly, & D. Gijbels (Eds.). Real learning opportunities at business school and beyond: Advances in business education and training, Vol. 2(1) (pp. 97–107).
Nicol, D. J., & Boyle, J. T. (2003). Peer instruction versus class-wide discussion in large classes: A comparison of two interaction methods in the wired classroom. Studies in Higher Education, 28(4), 457–473.
Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational Technology & Society, 12(3), 150–162.
Parsons, C. V., & DeLucia, J. M. (2005). Decision Making in the Process of Making Differentiation. Learning & Leading with Technology, 33(1), 8-10.
Pena-Shaffa, J. B., & Nichollsb, C. (2004). Analyzing student interactions and meaning construction in computer bulletin board discussions. Computers & Education, 42(3), 243-265.
Polson, P. G. (1987, January). A quantitative theory of human-computer interaction. In Interfacing thought: cognitive aspects of human-computer interaction (pp. 184-235). MIT Press.
Pradhan, A., Sparano, D., & Ananth, C. V. (2005). The influence of an audience response system on knowledge retention: An application to resident education. American Journal of Obstetrics and Gynecology, 193(5), 1827–1830.
Prather, E., & Brissender, G. (2009). Clickers as data gathering tools and students’ attitudes, motivations, and beliefs on their use in this application. Astronomy Education Review, 8, 010103–1, 10.3847/AER2009004.
Preszler, R. W., Dawe, A., Shuster, C. B., & Shuster, M. (2007). Assessment of the effects of student response systems on student learning and attitudes over a broad range of biology courses. CBE-Life Sciences Education, 6(1), 29–41.
Roschelle, J., Penuel, W. R., & Abrahamson, L. (2004). The networked classroom. Educational Leadership, 61(5), 50-54.
Sharma, M. D., Khachan, J., Chan, B., & O’Byrne, J. (2005). An investigation of the effectiveness of electronic classroom communication systems in large lectures. Australasian Journal of Educational Technology, 21(2), 137–154.
Simpson, V., & Oliver, M. (2007). Electronic voting systems for lectures then and now: A comparison of research and practice. Australasian Journal of Educational Technology, 23(2), 187-208.
Siau, K., Sheng, H., & Nah, F. (2006). Use of a classroom response system to enhance classroom interactivity. IEEE Transactions on Education, 49(3), 398–403.
Stuart, S. A. J., Brown, M. I., & Draper, S. W. (2004). Using an electronic voting system in logic lectures: One practitioner’s application. Journal of Computer Assisted Learning, 20(2), 95–102.
Taylor, Shirley, & Todd, Peter. (1995). Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, 19(4), 561-570.
Tseng, J. C. R. , Chu, H. C., Hwang, G. J., & Tsai, C. C. . (2008). Development of an adaptive learning system with two sources of personalization information. Computers & Education, 51(2), 776-786.
Uhari, M., Renko, M., & Soini, H. (2003). Experiences of using an interactive audience response system in lectures. BMC Medical Education, 3(12), 1–6.
Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204.
Wang, W.-T., & Wang, C.-C. (2009). An empirical study of instructor adoption of web-based learning systems. Computers & Education, 53, 761–774.
Warshaw, P. R. (1980). A new model for predicting behavioral intentions: An alternative to Fishbein. Journal of Marketing Research, 153-172.
Yeh, Y. F., Chen, M. C., Hung, P. H., & Hwang, G. J. . (2010). Optimal self-explanation prompt design in dynamic multi-representational learning environments. Computers & Education, 54(4), 1089-1100.
Yuen, A. H. K., & Ma, W. W. K. (2008). Exploring teacher acceptance of e-learning technology. Asia-Pacific Journal of Teacher Education, 36(3), 229–243.
吳毓瑩. (1996). 量表奇偶點數的效度議題. 調查研究-方法與應用, 2, 5-34. |
[Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
facebook
plurk
twitter
funp
google
live
udn
HD
myshare
reddit
netvibes
friend
youpush
delicious
baidu
Google bookmarks
del.icio.us
hemidemi