Abstract
The article deals with the issues of the conceptual component of pedagogical assessment activity, namely, teachers’ perceptions of different types of work as a prerequisite for their use in assessing students’ learning achievements. Based on the results of an online survey of teachers (N=349) using the method of semantic differential, the author analyzed the models of semantic space formed by teachers of such concepts as testing, written tasks, discussion of tasks, problem tasks, observation of students’ work in class, creative work, student projects, self-assessment, student self-assessment, dictations, homework. The generalized affective attitude of teachers to the listed types of work and teachers’ perceptions of the functional potential and performance characteristics of each of them are characterized.
It has been determined that teachers consider projects, creative works, and problem tasks to be the most profound, effective, and informative types of work, but at the same time, they are challenging to apply and time-consuming; teachers consider self-assessment and mutual assessment to be subjective, unreliable, and uninformative, and self-assessment, testing, and dictations to be superficial types of work in terms of their informativeness about students’ academic achievements.
According to the results of the factor analysis, it was found that the most significant characteristics for most types of works are those that characterize the activity component (usability), namely, ease of use (resource efficiency) and speed of assessment. It has been determined that increasing the likelihood of using a particular type of work for assessment depends on the teacher’s awareness of the significance of its potential.
It is noted that the prerequisites for decision-making on the use of a particular type of work for assessing students’ learning achievements are not only the teacher’s perception of them but also the motivational guidance, which may be the subject of further study of the conceptual and activity characteristics of the evaluative pedagogical competence.
References
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Barnes, N., Fives, H., and Dacey, C. M. (2015). Teachers’ beliefs about assessment. International handbook of research on teachers’ beliefs. Ed. H. Fives, and M. G. Gill. New York: Routledge, 284–300. (in English).
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Brown, G. T. L., Lake, R., and Matters, G. (2011). Queensland teachers’ conceptions of assessment: the impact of policy priorities on teacher attitudes. Teach. Teach. Educ., 27 (1), 210–220. https://doi:10.1016/j.tate.2010.08.003 (in English).
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DeLuca, C., Valiquette, A., Coombs, A., LaPointe-McEwan, D., & Luhanga, U. (2018). Teachers’ approaches to classroom assessment: a large-scale
survey. Assess. Educ. Principl. Policy Pract., 25, 355–375. https://doi:10.1080/0969594X.2016.1244514 (in English).
Deneen, C. C., Brown, G. T. L., & Ciuffetelli Parker, D. (2016). The impact of conceptions of assessment on assessment literacy in a teacher education program. Cogent Education, 3(1). https://doi.org/10.1080/2331186X.2016.1225380 (in English).
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questionnaire. Studies in Educational Evaluation, 74, 101155. https://doi.org/10.1016/j.stueduc.2022.101155 (in English).
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Herppich, S., et al. (2018). Teachers’ assessment competence: Integrating knowledge-, process-, and product-oriented approaches into a competence-oriented conceptual model. Teaching and Teacher Education, 76, 181–193. https://doi.org/10.1016/j.tate.2017.12.001 (in English).
Izci, K. (2016). Internal and External Factors Affecting Teachers’ Adoption of Formative Assessment to Support Learning. World Academy of Science, Engineering and Technology, International Journal of Educational and Pedagogical Sciences, 10(8), 2774–2781. (in English).
Karaagac, M. K., & Threlfall, J. (2004). The tension between teacher beliefs and teacher practice: the impact of the
work setting. In Proceedings of the 28th conference of the international group for the psychology of mathematics education (Vol. 3, pp. 137–144). Norway, July 14–18, 2004. http://emis.impa.br/EMIS/proceedings/PME 28/RR/RR 276_Karaagac.pdf (in English).
Lehmann, E. L., & D’Abrera, H. J. M. (1998). Nonparametrics: Statistical Methods Based on Ranks (Rev. ed). Englewood Cliffs, NJ: Prentice-Hall. 292–323. (in English).
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Skiera, B., Reiner, J., & Albers, S. (2022). Regression Analysis. In: Homburg, C., Klarmann, M., Vomberg, A. (eds) Handbook of Market Research. Springer, Cham. https://doi.org/10.1007/978-3-319-57413-4_17 (in English).
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