UPSI Digital Repository (UDRep)
|
|
|
Abstract : Universiti Pendidikan Sultan Idris |
This paper reports the findings on the development and validation of the Fostering Intellectual Excitement (IE) Questionnaire amongst the student teachers. Initially, 16 items which portray the construct of Fostering IE were generated and subsequently administered to a group of 248 teachers. Analyzing the dataset using the Exploratory Factor Analysis (EFA) indicates that, while all the 16 items of IE were retained, they were nevertheless clustered into 4 sub-constructs, labelled as Group Discussion (GD), Critical Thinking (CT), Evaluate Peer’s Work (EW) and Knowledge Transfer (KT) respectively. This 4-sub-construct Fostering IE Questionnaire was again administered to 458 in-service teachers and the dataset were analyzed by means of the Confirmatory Factor Analysis (CFA) whereby each measurement model was tested to see the relationship of each sub-construct (or latent variable) with its measures. The finding shows that each of the four sub-constructs of the IE has the sufficient validity and model fit. Consequently, a valid and reliable Fostering Intellectual Excitement Questionnaire with 4 sub-constructs, namely GD, CT, EW and KT, were generated and validated which teacher educators could capitalize on to gauge the extent such a teaching behavior has been enacted in their respective classroom.
|
References |
Atwood, S., Turnbull, W., & Carpendale, J. I. M. (2010). The construction of knowledge in classroom talk. Journal of the Learning Sciences. Atwood, S., Turnbull, W., & Jeremy, I. M. (2010). Journal of the Learning The Construction of Knowledge in Classroom Talk. Journal of the Learning Sciences. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94. Bartlett, K. R. (2005). Survey research in organizations. Research in Organizations: Foundations and Methods of Inquiry, 97-113. Barbara, B. M. (2010). Structural Equation Modeling with AMOS (Second Edi). Routledge New York London. Caires, S., Almeida, L., & Vieira, D. (2012). Becoming a teacher: Student teachers’ experiences and perceptions about teaching practice. European Journal of Teacher Education, 35(2), 163–178. http://doi.org/10.1080/02619768.2011.643395 Cerny, B. A., & Kaiser, H. F. (1977). A study of a measure of sampling adequacy for factoranalytic correlation matrices. Multivariate behavioral research, 12(1), 43-47. Comrey, A. L., & Lee, H. B. (1973).A first course in factor analysis. New York: Academic Press. Crowe, J. A., Silva, T., & Ceresola, R. (2015). The Effect of Peer Review on Student Learning Outcomes in a Research Methods Course. Teaching Sociology, 43(3), 201–213. Darling-Hammond, L., & Bransford, J. (2005). Preparing Teachers for a Changing World?: What Teachers Should Learn and Be Able to Do. The Jossey-Bass Education Series. Wiley. http://doi.org/10.5860/CHOICE.43-1083 Darling-Hammond, L. (2006a). Constructing 21st-century teacher education. Journal of Teacher Education, 57(3), 300–314. Darling-Hammond, L. (2006b). Powerful Teacher Education: Lessons from Exemplary Programs. The JosseyBass Education Series. Henard, F., and Leprince-Ringuet, S. (2008). The path to quality teaching in Higher Education. Programme Institutional Management for Higher Education, (October 2007), 1–50. Retrieved from http://www.oecd.org/dataoecd/10/60/41692318.pdf Fornell, C. and David, F. L. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50. Jefferson, A. L. (2009). Teacher training: what’s needed. Journal of Further and Higher Education, 33(3), 281–288. http://doi.org/10.1080/03098770903026198 Gorsuch, R. L. (1983). Factor Analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates. Hair, Joseph F., William, C. B., Babin, B. J. Rolph, E. A. (2011). Multivariate Analysis (seventh ed). New Jersey, Prentice Hall. Kline, R. B. (2011). Principles and Practice of Structural Equation Modeling. The Guilford Press New York London. Kroll, L. R. (2004). Constructing constructivism: How student-teachers construct ideas of development, knowledge, learning, and teaching. Teachers and Teaching: Theory and Practice, 10(2), 199–221. http://doi.org/10.1080/1354060042000188035 MacCallum, R. C., Browne, M. W., and Sugawara, H. M. (1996), "Power Analysis and Determination of Sample Size for Covariance Structure Modeling," Psychological Methods, 1 (2), 130-49. McCaslin, W. J., & Lowman, J. (1995). Mastering the Techniques of Teaching. Teaching Sociology. http://doi.org/10.2307/1318070 Perkins, D., Schenk, T. A., Sh, L. S., & Vrungos, C. (1995). Effects Of Rapport, Intellectual Excitement, And Learning O N Students’ Perceived Ratings Of College Instructors ’. Psychological Reports, 76, 627–635. Ratnavadivel, N., Hoon, C. L., Salih, M., & Low, J. (2014). Curriculum framework for preparing quality teachers for the future?: Developing guiding principles, 4(2), 32–44. Salkind, N. J. (1997). Exploring research (3rd ed.). Upper Saddle River, NJ: Prentice Hall. Samples, J. W. & Copeland, S. E. (2013). The Universality of Good Teaching: A Study of Descriptors Across Disciplines. International Journal of Teaching & Learning in Higher Education, 25(2), 176–188. Tabachnick, B. G., & Fidell, L. S. (2001). Using Multivariate Analysis. Northridge: California State University, Harper Collins College Publishers. Wasley, P. (2006). Underrepresented students benefit most from “engagement” (Vol. 53). Awang, Z. (2015). SEM made simple: a gentle approach to learning structural equation modeling. MPWS Rich Publication |
This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials. You may use the digitized material for private study, scholarship, or research. |