Students' Reasoning Skills In The Context Of Educational Environment In Primary School
Author(s):
Conference:
ECER 2014
Format:
Paper

Session Information

09 SES 11 B, School and Class Composition Effects in Assessments

Paper Session

Time:
2014-09-04
17:15-18:45
Room:
B012 Anfiteatro
Chair:
Luc Le

Contribution

The presentation investigates the development of student’s reasoning skills in primary school within the context of educational environment. The challenges of 21st century society demand the educational system to train students’ skills beyond the basics. The development of student’s reasoning skills (as opposed to simple memorization of academic material) become particularly important in modern world.

Reasoning often defined as logical thinking ability. We operationalize the construct using the ideas of Russian psychologist Lev Vygotsky, who investigated the human mental development. This approach expanded in the works of his successors – Galperin (1998), Davydov (1972, 1996), Elkonin (1989) and Nezhnov (2007).  According to Vygotsky’s theory, cognitive growth can be described as a process of internalizing culturally transmitted knowledge, which involves acquisition of generalized schemas of thinking and symbolic systems (Vygotsky, 1978; 1994).  Exposure to cultural models stimulates a gradual internal process of knowledge development. At the early stages of this process, individuals master specific procedures and associative links. At this level, their problem-solving very much relies on external characteristics of the problem; their ability to solve problems depends on how similar they are to the ones that had been directly taught.  From this level, knowledge continues to develop to a more deep-level understanding of conceptual relations underlying learned procedures and finally, to the highest level of understanding that allows a person to see the boundaries of the knowledge acquired and to be able to consider a multitude of possible relations within these boundaries. Three increasingly complex levels of mastery have been proposed: (1) procedural knowledge, (2) conceptual understanding, and (3) functional competence. Due to this taxonomy, reasoning skills refer to the second and third levels. Since the mental development goes through the acquisition of exterior experience, it is subject specific and must be examined within the subject areas.

Up to now, there have been no direct ways of assessing the different levels of mastery within the outlined theoretical framework. The assessment instrument Student Achievement Monitoring (SAM) is the first attempt to do it. SAM was designed to characterize primary school students’ knowledge (in mathematics and language) in terms of levels of mastery derived from Vygotsky’s learning theory and to capture the distinction between procedural, conceptual and functional levels of knowledge (Nezhnov, P. , 2011; Nezhnov, P., & Kardanova, E., 2011). To help separate participants into groups according to the level of their achievement benchmarks are used that reflect the three levels of the theoretical model.

Preliminary analysis of SAM test results revealed the majority of students achieve the second level of proficiency (conceptual understanding) by the end of primary school, but the third level (functional competence) is only starts to emerge.  It corresponds to the Vygotsky’s theory, which suggests that the development of the highest level of understanding of academic content proceeds after it was presented the recipient.

But we have found a big difference in test results and distribution of students among proficiency levels between different schools as well as between different classes of one school. So we explore the factors of the educational environment associated with the development of reasoning skills in language and mathematics. There are three levels of educational environment: (1) individual, (2) classroom, and (3) school. We pay special attention to the classroom and school characteristics, which may be adjusted by school or government, such as school type and learning curriculum. The teachers’ practices and beliefs are another point of interest, as they may have a significant impact to the students’ reasoning skills.

Thus, the research question is – what characteristics of educational environment support the development of reasoning skills in primary school?

Method

The participants included 4406 fourth-grade students recruited from 192 elementary schools (293 classrooms) in the Russian Federation. Fourth grade was chosen because it is the last year in Russian elementary schools; children enter first grade at around the age of 7 years, therefore by the end of fourth grade their age range is 10-11 years. Participating schools were located in the central part of Russia where the majority of the population is ethnic Russians. Both urban and rural-area schools were included (72% and 28%, respectively). The students represented a diverse range of socio-economic levels, matching the socio-economic structure of the whole region. The sample was closely divided by gender: 47% boys, 53% girls. SAM toolkit (namely tests in math and language) was used to assess the students’ reasoning skills. The particular feature of SAM tests is that the test items within each content area vary systematically with respect to the depth of knowledge required. That is, each of the content areas included in the test is represented by problems tapping the three levels of mastery. The tests include a total of 45 items each divided into 15 blocks. IRT modeling is used for SAM scale construction and students’ estimation. There are two types of output data for SAM tests in each subject – the integral test score, which shows the general level of subject competences, and proficiency level. Thus we have a number of indicators for each student, which can be used as depended variables. SAM toolkit also includes a set of teachers’ questionnaires which provide sociological, institutional, social and cultural information describing the context of educational environment. Since the data have a multilevel structure, we used the hierarchical regression model to investigate the interactions of variables. Correlation of testing results with research on teaching and learning approaches was carried out to identify drivers of reasoning skills development and possible ways of enhancing development of such skills. There was also conducted a qualitative research, aimed to describe the context of education in primary school. The structural interview with the teachers gives us more information about the learning process and the development of students’ reasoning skills. It also helps to interpret the results of quantitative analysis.

Expected Outcomes

During the research there were designed three scales aimed to assess the teachers’ beliefs and practice approach. The scales can be interpreted as traditional and constructivist beliefs and constructivist practices. These scales show good psychometric quality and can be used for further analysis. The multilevel modeling shows, that there are approximately 50% of students variance explained on the personal level, and 50% explained on the school and classroom level. Thus, family and school contribute equally to the children’s progress. We found, that development of students’ reasoning skills is significantly correlated with the school type, educational program, classroom size, teachers’ practice and experience. The research is in the progress. Thus we prepare the short list of variables, which have to be examined more precisely. The presentation will show the general list of variables that appear to have significant impact to the student’s reasoning skills development. Multilevel model will include three levels of variables, and will allow to estimate the contribution of each variable separately. The model, based on the Russian data can be applied to the educational systems of other countries. There is a particular interest to confirm the discovered patterns of variables’ connections on different sample in different educational systems. This research is the first step for the international project which aims to investigate the relation of the teaching and learning approaches and development of student’s reasoning skills in order to enhance teaching and learning for the benefit of education quality improvement. The project will take place in Russia, Tajikistan, Uzbekistan, Kyrgyz Republic, Armenia, Mongolia, and Moldova. It will explore the educational systems in these countries and integrate the most efficient learning approaches. The present research intends to highlight the possible opportunities of investigation in this field.

References

1. Galperin, P. (1998). Psychology as an objective science. Moscow, Russia: Institute of Applied Psychology. 2. Davydov, V. V. (1972). Types of generalization in learning. Moscow, Russia: Pedagogy. 3. Davydov, V. V. (1996). The theory of developing learning. Moscow, Russia: Intor. 4. Elkonin, D. B. (1989). Selected psychological work. Moscow, Russia: Pedagogy. International Journal of Testing, 10:4, 295 — 317. 5. Kardanova, E., Nezhnov, P. (2011): School achievements monitoring toolkit: Assessment framework. Paper presented at the 37-th Annual Conference IAEA, Manila. 6. Nezhnov, P. (2007). Mediation and spontaneity in the cultural development model. Moscow State University Bulletin, 14, 133-146. 7. Nezhnov, P., & Kardanova, E. (2011). SAM Framework. Center for International Cooperation in Education Development. 8. Nezhnov, P. (2011). SAM – toolkit to assess primary school students’ academic achievements. CADMO. Innovations in assessment to meet changing needs. ANNO XIX, 1, pp.85-98. 9. Vygotsky, L. S. (1978). Mind in society: The development of higher mental processes. Cambridge, MA: Harvard University Press. (Original works published in 1930, 1933). 10. Vygotsky, L. S. (1994a). The problem of the cultural development of the child. In Van der Veer, R., & Valsiner, J. (Eds), The Vygotsky reader. Oxford, UK: Blackwell. (Original work published in 1929).

Author Information

Ekaterina Enchikova (presenting / submitting)
National Research University Higher School of Economics
The Institute of Education
Moscow
National Research University Higher School of Economics, Russian Federation
Center for International Cooperation in Education Development, Russian Federation

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