Validation of Scales that Measure Student’s Epistemological Beliefs in Science and Conceptions about Learning and Teaching in a French University
Author(s):
Huong Thi Quynh Dang (presenting / submitting) Hélène Hagège (presenting)
Conference:
ECER 2013
Format:
Paper

Session Information

ERG SES D 09, Conceptions, Perceptions and Beliefs in Education

Paper Session

Time:
2013-09-09
13:30-15:00
Room:
A-203
Chair:
Geert Thyssen

Contribution

Since 2010, the French competitive examination to become high school science teachers includes a test about epistemology and didactic sciences. Moreover, optional epistemology courses for science students are flourishing in “hard sciences” universities as it is the case in our University of Montpellier 2. However, one can hypothesise that some initial students’ conceptions and the institutional epistemological context might constitute obstacles to their development of a sophisticated epistemology. How to study the impact of such epistemological trainings? And, more generally, how to evaluate science university students’ epistemological beliefs and their conceptions about learning and teaching (Chan & Elliott, 2004)?

The majority of existing quantitative instruments that measure beliefs about scientific epistemology, learning and teaching have been constructed and validated among human sciences students (Schommer, 1990; Hofer, 2000), primary students (Elder, 2002; Conley et al. 2004), or in-service school teachers; and they are mostly in English. To our knowledge, a quantitative tool specifically adapted to the French epistemological context has never been designed. Therefore, we developed a quantitative instrument made up of two Likert-type scales to evaluate epistemological beliefs (in science) and conceptions about learning and teaching of university “hard sciences” students, including pre-service secondary and primary teachers. These scales were designed to evaluate the evolutions of students’ epistemological beliefs and learning and teaching conceptions. They are not to characterize their structure, as was described in previous studies (e.g., Schommer, 1990; Hofer, 2000). So we selected the simplest way to asses such a putative evolution; it consists in considering that they vary along a continuum between two extreme positions: naïve and sophisticated poles. Our hypothesis here is that the naïve and sophisticated beliefs about science correspond respectively to the naïve and sophisticated conceptions about learning and teaching. A similar approach was also formulated by Conley et al. (2004). Following Hofer (2000), they focused on the headings of “the nature of knowledge” and “knowing in science”.

In the naïve pole, knowledge is true or false (in absolute), corresponds to additive pieces of information, and can be non-problematically transferred from an expert to a novice. In the sophisticated pole, knowledge arises from human creation, its meaning and value are context-dependent, and its learning implies qualitative rearrangement of previous knowledge. Both poles respectively and partly match with the dualism and multiplicity (or relativism) stages defined by Perry (1970), the traditional and non-traditional views of science or learning defined by Pomeroy (1993), the empiricist and constructivist views of Tsai (1998), and the traditional and constructivist conceptions of Chan & Elliott (2004).

In order to take into account the French epistemological context of “hard sciences” students, we constructed items from the content of epistemological debates with these students. Other items were adapted from existing scales (e.g., Pomeroy, 1993; Chan & Elliott, 2004; Hofer, 2000; Tsai & Liu, 2005, Conley et al. 2004). Preliminary experiments showed that these scales have the potential to evaluate epistemological beliefs and conception evolution (Dang and Hagège, 2011). Here we present the validation study of these scales.

Method

In previous preliminary experiments (Dang and Hagège, 2011), we identified six factors (four factors related to epistemological beliefs and two factors to learning and teaching conceptions. Following DeVellis (2011) guidelines, we then refined factors signification and initial items, added new items, had experts review the item formulation for clarity, concision and relevance to ensure the content validity. After this first judgement of items selection, students also were asked to review the items to ensure that the items formulation was adapted to their level. In the present experiment, we used a French version of Epistemological Beliefs Inventory (EBI) developed by Schraw et al. (2002) and of the Learning Environment Preferences (LEP) by Moore (1989) to measure the convergent validity and a French version of Marlowe & Crowne’s (1960) social desirability scale to measure the discriminant validity. Temporal stability was assessed by test-retest reliability among a subset of the sample. We proceeded through an on-line survey among approximately 600 university “hard sciences” students. Confirmatory factor analysis and cross-validation between data of random first-half and second-half of the sample was used to describe the construction, internal consistency, stability and criterion validity of the scales. We used SPSS and LISREL softwares for the analyses.

Expected Outcomes

Data collection is now completed and statistical analyses are underway. Preliminary results already indicate robust internal consistencies of the scales. Also, significant correlations between most epistemological belief scores and two scores of learning and teaching express strong connections between epistemological beliefs in science and conceptions about teaching and learning. Scores of the scales are statistically significantly related in expected ways to students’ level. Indeed, the higher the education level, the more sophisticated epistemological beliefs the students hold. Therefore, we expect from this experiment the validation of a new (and unique) French speaking quantitative instrument to evaluate university “hard sciences” students’ epistemological beliefs in science and conceptions of learning and teaching. This instrument could be used in other French speaking countries of the European continent (Luxembourg, Switzerland, Monaco, and Belgium), since their institutional epistemology is seemingly very close to the French people. Its application to European non francophone countries might be studied and done by standardized translation and adaption procedures. So it could constitute a promising tool to conduct comparative studies of the students’ epistemological evolution along scientific curricula in European countries. Finally, the methodology that we used here might also inspire the construction of new similar instruments in non-francophone countries.

References

Chan, K. W., & Elliott, R. G. (2004). Relational analysis of personal epistemology and conceptions about teaching and learning. Teaching and Teacher Education, 20, 817-831. Conley, A. M., Pintrich, P. R., Vekiri, I., & Harrison, D. (2004). Changes in epistemological beliefs in elementary science students. Contemporary Educational Psychology, 29, 186-204. Dang, H. T. Q., & Hagège, H., (2011). Measuring the Impact of Epistemological Education on Students’ Values and Conceptions. Paper presented at the 11th International IHPST and 6th Greek History, Philosophy and Science Teaching Joint Conference, Thessaloniki, 1-5 July 2011, Greece. DeVellis, R. F. (2011). Scale development: Theory and applications. California, Sage Publications, Inc. Hofer, B. K. (2002). Personal epistemology as a psychological and educational construct: An introduction. In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 3-14). Mahwah, NJ: Erlbaum. Perry, W.G. (1970). Forms of intellectual and ethical development in the college years: A scheme. New York, NY: Holt, Rinehart, and Winston. Pomeroy, D. (1993). Implications of teachers’ beliefs about the nature of science: Comparison of the beliefs of scientists, secondary science teachers, and elementary science teachers. Science Education, 77, 261-278. Schommer, M. (1990). Effects of beliefs about the nature of knowledge of comprehension. Journal of Educational Psychology, 82, 498-504. Schraw, G., Bendixen, L. D., & Dunkle, M. E. (2002). Development and validation of the Epistemic Belief Inventory (EBI). In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 261-276). Mahwah, NJ: Erlbaum. Tsai, C.-C., & Liu, S.-Y. (2005). Developing a multi-dimensional instrument for assessing students’ epistemological views toward science. International Journal of Science Education, 27, 1621-1638.

Author Information

Huong Thi Quynh Dang (presenting / submitting)
University of Montpellier 2
LIRDEF lab
Montpellier
Hélène Hagège (presenting)
University of Montpellier 2, France

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