Contextual Categorisation of Academics’ Conceptions of Teaching

Abstrakt

Background: Despite large-class research-based instructional strategies being firmly established in the literature, traditional teacher-centred lecturing remains the norm. This is particularly the case in physics, where Physics Education Research (PER) has blossomed as a discipline in its own right over the last few decades, but research-based strategies are not widely implemented. This variation in practice is underpinned by variations in beliefs and understandings about teaching. Studies investigating the spectrum of conceptions of teaching held by teachers and, in particular, academics have almost uniformly identified a single dimension from teacher-centred to student-centred. These studies have used a phenomenographic approach to capture the variety of conceptions of teaching, but have excluded contextual issues like class size.
Research Question: How does class size affect academics’ conceptions of teaching?
Method: This study used an online survey to compare and contrast respondents’ experiences of small and large classes, and in particular lectures. The survey was promoted to Australian university academics from a range of disciplines, predominantly science, technology, engineering, and mathematics (STEM). Responses to the sets of small-class questions were analysed independently from the sets of equivalent large-class questions. For each respondent their small-class responses were categorised, where possible, as either being student-centred or teacher-centred, and likewise, independently, for their large-class responses.
Results: In total, 107 survey responses were received. Of these, 51 had the sets of both their large- and small-class responses unambiguously categorised. Five of these were student-centred regardless of class size, and 17 of these were teacher-centred regardless of class size. All of the remaining 29 responses were teacher-centred in large classes, but student-centred in small classes. Conversely, none of the responses corresponded to a conception of teaching that was student-centred in large classes and teacher-centred in small classes.
Implications: This result demonstrates that the one-dimensional analysis of conceptions of teaching along the spectrum of teacher-centred to student-centred is too simplistic. Conceptions are contextual. At the very least they depend on class size, and perhaps other factors.
It confirms the hierarchy of understanding from teacher-centred to student-centred reported elsewhere in the literature, with the added feature of an intermediate stage of differing focus depending on class size. One recommendation from this finding is that teaching professional development programs should be focused on developing studentcentred conceptions and practices in large classes in particular, as this occurs infrequently but leads to the best student learning outcomes. Moreover, further research on contextspecific conceptions of teaching need to be explored.
https://doi.org/10.14712/18047106.738
PDF (English)

Reference

Abdul, B. et al. (2011). Addressing student learning barriers in developing nations with

a novel hands-on active pedagogy and miniaturized industrial process equipment: The

case of Nigeria. International Journal of Engineering Education, 27(2), 458–476.

Bowden, J.A. & Walsh, E. (Eds.). (2000). Phenomenography. Melbourne: RMIT

University Press.

Bradburn, N.M. (1978). Respondent burden. In Proceedings of the American Statistical

Association (Survey Research Methods Section), 35–40.

Cahyadi, V. (2004). The effect of interactive engagement teaching on student

understanding of introductory physics at the faculty of engineering, University of

Surabaya, Indonesia.Higher Education Research & Development, 23(4), 455–464.

Choi, B.C.K. & Pak, A.W. P. (2005). A catalog of biases in questionnaires. Preventing

chronic disease, 2(1), 1–13.

Clason, D. L. & Dormody, T. J. (1994). Analyzing data measured by individual

likert-type items. Journal of Agricultural Education, 35(4), 31–35.

Daniel, S.A. (2016). Experiences of lecturing. PhD, Swinburne University of Technology.

Daniel, S.A., Mann, L. M.W. & Mazzolini, A. P. (2016). A phenomenography of

lecturing. 44th SEFI Conference. Tampere, Finland.

Deslauriers, L., Schelew, E. & Wieman, C. (2011). Improved learning in a

large-enrollment physics class. Science, 332(6031), 862–864.

FitzPatrick, K. A., Finn, K.E., & Campisi, J. (2011). Effect of personal response systems

on student perception and academic performance in courses in a health sciences

curriculum. Advances in Physiology Education, 35(3), 280–289.

Fowler, J. & Jackson, F. (1992). How unclear terms affect survey data. Public Opinion

Quarterly, 56(2), 218–231.

Hake, R.R. (1998). Interactive-engagement versus traditional methods: A

six-thousand-student survey of mechanics test data for introductory physics courses.

American Journal of Physics, 66(1), 64–74.

Henderson, C. (2004). Easier said than done: A case study of instructional change under

the best of circumstances. In Proceedings of the 2003 Physics Education Research

Conference, Madison, Wisconsin. New York: American Institute of Physics.

Henderson, C., Beach, A. & Finkelstein, N. (2011). Facilitating change in undergraduate

STEM instructional practices: An analytic review of the literature. Journal of Research

in Science Teaching, 48, 952–984.

Ho, A., Watkins, D. & Kelly, M. (2001). The conceptual change approach to improving

teaching and learning: An evaluation of a Hong Kong staff development programme.

Higher Education, 42(2), 143–169.

Horton, B.W. (2001). Shifting from the sage on stage to the guide on the side: the

impact on student learning and course evaluations. Journal of Hospitality & Tourism

Education, 13(5), 26–34.

Hussain, A., Azeem, M. & Shakoor, A. (2011). Physics teaching methods: scientific

inquiry vs traditional lecture. International Journal of Humanities and Social Science,

(19), 269–276.

Kember, D. (1997). A reconceptualisation of the research into university academics’

conceptions of teaching. Learning and Instruction, 7(3), 255–275.

King, A. & Leigh, A. (2009). Are ballot order effects heterogeneous? Social Science

Quarterly, 90(1), 71–87.

Krosnick, J.A. (1991). Response strategies for coping with the cognitive demands of

attitude measures in surveys. Applied Cognitive Psychology, 5(3), 213–236.

Krosnick, J.A. et al. (2002). The impact of ‘no opinion’ response options on data

quality: Non-attitude reduction or an invitation to satisfice? Public Opinion Quarterly,

(3), 371–403.

Marton, F. (1981). Phenomenography — Describing conceptions of the world around us.

Instructional Science, 10(2), 177–200.

Marton, F. (1986). Phenomenography — A Research approach to investigating different

understandings of reality. Journal of Thought, 21(3), 28–49.

Masikunas, G., Panayiotidis, A. & Burke, L. (2007). The use of electronic voting systems

in lectures within business and marketing: a case study of their impact on student

learning. Research in Learning Technology, 15(1), 3–20.

Mazur, E. (1997). Peer instruction: a user’s manual. Upper Saddle River: Prentice Hall.

McKenzie, J.A. (2003). Variation and change in university teachers’ ways of

experiencing teaching. Sydney: University of Technology.

Murray, K. & Macdonald, R. (1997). The disjunction between lecturers’ conceptions of

teaching and their claimed educational practice. Higher Education, 33(3), 331–349.

Nunn, C. E. (1996). Discussion in the college classroom: Triangulating observational and

survey results. Journal of Higher Education, 67(3), 243–266.

Postareff, L. & Lindblom-Yl¨anne, S. (2008). Variation in teachers’ descriptions of

teaching: Broadening the understanding of teaching in higher education. Learning and

Instruction, 18(2), 109–120.

Prince, M. (2004). Does active learning work? A review of the research. Journal of

Engineering Education, 93(3), 223–231.

Prosser, M. & Trigwell, K. (2006). Confirmatory factor analysis of the approaches to

teaching inventory. Br J Educ Psychol, 76(2), 405–419.

Samuelowicz, K. & Bain, J. D. (2001). Revisiting academics’ beliefs about teaching and

learning. Higher Education, 41(3), 299–325.

Schuman, H. & Presser, S. (1996). Questions and answers in attitude surveys:

experiments on question form, wording, and context. New York: Academic Press.

Schwarz, N. & Sudman, S. (Eds.). (1992). Context effects in social and psychological

research. New York: Springer-Verlag.

Skovsmose, O., Valero, P.& Christensen, O. (Eds.). (2009). University science and

mathematics education in transition. New York: Springer.

Steinbock, D. (2006). Tag Crowd. Available at http://tagcrowd.com/

Trigwell, K. & Prosser, M. (1996). Congruence between intention and strategy in

university science teachers’ approaches to teaching. Higher Education, 32(1), 77–87.

Trigwell, K. & Prosser, M. (2004). Development and use of the approaches to teaching

inventory. Educational Psychology Review, 16(4), 409–424.

Trigwell, K., Prosser, M. & Ginns, P. (2005). Phenomenographic pedagogy and a revised

approaches to teaching inventory. Higher Education Research & Development, 24(4),

–360.

Trigwell, K., Prosser, M. & Waterhouse, F. (1997). Relations between teachers’

approaches to teaching and students’ approaches to learning. Higher Education, 37(1),

–70.

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