Abstract
Psychology development has led to material understanding of some mental phenomenon that is based on revealing causeeffect links with the help of scientific methods. However, there shows up a great number of publications where interpersonal relations are described as some ideal forces, which are beyond the research base. The aim of our study: to identify how emotions influence learning performance of elementary school children. The methods are theoretical – literature review over the issue stated; empirical – testing, summative experiment, mathstatistical processing of the experiment data via Spearman criterion. The average age of children is 89 years old. The study results have revealed disadvantaged emotional attitude to school among 13.32% of the respondents, who might need psychological support. In the available range of published sources we could not find any evidence about using the same methodology among secondgrade children, the results were very positive. It can be explained with the individual peculiarities of the sampling, including: relations with the teachers and classmates, success in learning and the ability to overcome difficulties, understanding how they can improve the ways to their learning. The correlation analysis on interconnection between the indicators allowed to shape correlation pleiade indicating about reliable connection that exists between emotional attitude and efficacy in learning among secondgrade children. The obtained statistical, reliable and correlation connections between the parameters under investigation have the positive modality and are referred to significant and sustainable patterns (p≤0.01), the fact assures the importance and need to create emotionally comfortable atmosphere in learning processes.
Keywords: Emotional attitudelearning activityelementary schoolchildrencorrelation analysis
Introduction
Psychology development inter alia Social Psychology, has led to material understanding of some mental phenomenon that is based on revealing causeeffect links with the help of scientific methods. To ‘recent achievements’ towards this issue we can refer the works studying emotional sphere – emotions’ influence on personality development (Leontyev, Lebedeva, & Kostenko, 2017). Among the research including the data on emotional relations a special plave should be given to works addressing the influence of emotional relations on a child’s learning performance (Bicharova, Lebedeva, & Topchiev, 2017; Kondrashova, Rashchikulina, Isaeva, Plugina, & Suprun, 2017; Mainhard, Oudman, Hornstra, Bosker, & Goetz, 2018). Indepth understanding on how the emotional relations and their models influence learning activity is becoming one of the conditions needed for full and successful personality development. Recognition of all relevance and value of this research will entail the necessity to develop methodological tools that will be applied in organizing special and appropriate conditions. The aim of our study is to identify to what extent emotional relations influence learning performance of elementary school children.
Problem Statement
Historically, in pedagogical science, the most welldeveloped were the research addressing the topic how the system of formal relationships in a team influence personality and its development. Informal relations have attracted the attention of researchers more recently (Shagaeva, 2015; Wong, Strom, Guerrero, Chung, & Dudovitz, 2017; Rytivaara & Frelin, 2017). Modern scholars are exploring various aspects of human emotional relationships. Some researchers analyze the psychological and pedagogical nature of this phenomenon, their functions and role in human activity (Abe, 2011; Batenova, Dolgova, Emelyanova, & Emelyanova, 2018; Dolgova, Emelyanova, Bogachev, & Batenova, 2018); others study the experiential models (McGrath & Bergen, 2015; Bentley, Millman, Thompson, Demro, & Schiffman, 2016; Shapero, Farabaugh, Terechina, DeCross, & Holt, 2019), their psychophysiological bases (Bakhchina, Polevaya, & Parin, 2013; Faye & Hooper, 2018; Holdaway & Becker, 2018); the cumulative impact of teacherchild and peertopeer relations on children socioemotional adaptation (Thijs & Fleischmann, 2015; Volkova & Besschetnova, 2015; Wang, Hatzigianni, Shahaeian, Murray, & Harrison, 2016;); emotional relationships development in educating and upbringing an individual (Corcoran & Tormey, 2013; Catalano & Catalano, 2014; Choi, Lim, Catapano, & Choi, 2018). All researchers are unanimous in their concerns about the main problem: when studying emotional relationships, it is necessary to have a firm focus on their content, composition  this is both an objective process of interaction/information exchange between people and their evaluation of each other. Researchers emphasize those properties that distinguish emotional relationships from other phenomena, for example, spontaneity of emotional relationships, which is considered not as a natural expression of personal characteristics that a person uses in communication, but as antithesis to causality (Salimynezhad, Poor, & Valizade, 2015; Zee & Koomen, 2017; Gasser, Grütter, Buholzer, & Wettstein, 2018).
Research Questions
Research issues are linked with reliable data indicating emotional attitude of elementary schoolchildren to a school and to successful learning. The sampling was done as secondgrade schoolchildren not occasionally, this period is characterized with finished adaptation to systematic learning, to new duties and new relation models with peers and adults; a child at this age is ready to school, with a set of own expectation and insights.
Purpose of the Study
To identify the interconnection of two notions – emotional attitude to school and high learning performance; the target group is secondgrade schoolchildren.
Research Methods
The research methods: theoretical – literature review over the issue stated; empirical – testing, summative experiment, mathstatistical processing of the experiment data via Spearman criterion. The methodology: expressdiagnostic “Faces” authors – Lukiyanchenko and Yadryshnikova (2006); expert assessment of a teacher about successful learning. The average age of children is 89 years old.
Findings
The secondgrade age, when learning is very active, is characterized with significant changes going in children’s psychophysiological development that entails a wide dispersion range in psychological and physiological indicators. This age period lasts on average for a year and a half and can be featured with high individual indicators relating to variability in the maturation rate. The vigorous development of body and muscles is going on, their volume and power capacity increase; lung capacity is either increased. The muscle fibers of the heart, despite they are still relatively poorly developed, are well supplied with blood and grow rapidly. The heart activity of a younger schoolchild is generally characterized by rightfunctioning and rhythm. The feature of this age is incoherence in a rate at which bones and muscle tissue are growing. The bones are rapidly increasing in size and mass, outgoing the development of muscle tissue. These features in the musculoskeletal system lead to the peculiarities in the motor activity of younger schoolchildren such as: poor coordination when moving, rapid fatigue and posture breach. All basic mental processes are developing well. The dominance of involuntarynature psychological processes, however, requires the development as well as arbitrary, controlled forms of perception, memory and attention. Teamwork in classroom, doing the same tasks, unwittingly, unite children and contribute to collectivist character traits development. Since the secondgrade age they begin to consider themselves and their behavior not only from the point of personal success, but also as members of a team. They try in practice the first forms of team helping, learn to respect opinions of others. In no other school age children's successes in learning are so closely related to health and physical development as at the age under consideration.
We were studying the emotional sphere peculiarities of the age with the expressmethod “Faces” designed by Lukiyanchenko and Yadryshnikova (2006) (Fig. 1).
As seen in fig 1, the majority of the respondents have coefficients below 1, and the minority of them have coefficients with the sign ‘minus’ or negative meaning.
26.64% of the respondents have high coefficients describing emotional attitude that testifies about desirable, advantaged attitude to school; the medium value – 49.95%  says about acceptable emotional attitude to school; low coefficients (13.32%) confirm critical emotional attitude among the respondents that points to the need of psychological support; and negative (unacceptable) values (9.90%) speak about that children are in the riskzone and need the sustainable psychological help.
In the sources available to us, we did not find any descriptions about the use of the same method relating to secondgraders. But with firstgraders this method was carried out (Kazakova & Sokolova, 2018), and it turned out that almost all children are friendly, open and have a positive attitude towards school (91%).
The results of a teacher’s expert assessment about how children are successful in learning activities show that the greatest number of them has the average values. 28% of the respondents have high values – excellent/high marks in learning; 48% of schoolchildren have the average values and this means that the children study without satisfactory marks; 24% of the schoolchildren have low values – children who have poor marks in learning.
The results that we obtained within the experiment were subjected to mathematical analysis, using the Spearman criterion. It allows to determine the closeness and direction of the correlation relationship between the two characteristics, which is necessary to confirm the hypothesis.
But: the correlation between the indicators denoting the emotional attitude to school and the success in doing the learning activities does not differ from 0.
Hypothesis 1 (H1): the correlation between the indicators denoting the emotional attitude to school and the success in doing the learning activities differs from 0.
The calculation of the Spearman criterion is presented in table
Σ $\mathit{R}=\frac{\mathit{N}(\mathit{N}+\mathbf{1})}{\mathbf{2}}=\frac{\mathbf{25}(\mathbf{25}+\mathbf{1})}{\mathbf{2}}=\frac{\mathbf{25}\times \mathbf{26}}{\mathbf{2}}=\frac{\mathbf{650}}{\mathbf{2}}=\mathbf{325}$
where N – total number of respondents.
The sums of the calculated ranks’ values and empirical ones coincide.
We have the equal ranks and some adjustments are need:
$$\mathrm{\u0422}\mathrm{\u0430}=\frac{\sum ({\mathrm{\u0430}}^{\mathbf{3}}\mathrm{\u0430})}{\mathbf{12}};\mathrm{\u0422}\mathit{b}=\frac{\sum ({\mathit{b}}^{\mathbf{3}}\mathit{b})}{\mathbf{12}}$$
where а=А, b=Б
$$\mathrm{\u0422}\mathrm{\u0430}\mathrm{}=\frac{\left({\mathbf{2}}^{\mathbf{3}}\mathbf{2}\right)+\left({\mathbf{3}}^{\mathbf{3}}\mathbf{3}\right)+\left({\mathbf{3}}^{\mathbf{3}}\mathbf{3}\right)+\left({\mathbf{3}}^{\mathbf{3}}\mathbf{3}\right)+\left({\mathbf{3}}^{\mathbf{3}}\mathbf{3}\right)+\left({\mathbf{2}}^{\mathbf{3}}\mathbf{2}\right)+({\mathbf{2}}^{\mathbf{3}}\mathbf{2})}{\mathbf{12}}=\frac{\mathbf{6}+\mathbf{24}+\mathbf{24}+\mathbf{24}+\mathbf{24}+\mathbf{6}+\mathbf{6}}{\mathbf{12}}=\frac{\mathbf{114}}{\mathbf{12}}=\mathbf{9}.\mathbf{5}$$
$$\mathrm{\u0422}\mathit{b}=\frac{\left({\mathbf{2}}^{\mathbf{3}}\mathbf{2}\right)+\left({\mathbf{7}}^{\mathbf{3}}\mathbf{7}\right)+\left({\mathbf{2}}^{\mathbf{3}}\mathbf{2}\right)+\left({\mathbf{5}}^{\mathbf{3}}\mathbf{5}\right)+({\mathbf{2}}^{\mathbf{3}}\mathbf{2})}{\mathbf{12}}=\frac{\mathbf{6}+\mathbf{336}+\mathbf{6}+\mathbf{120}+\mathbf{6}}{\mathbf{12}}=\mathrm{}\frac{\mathbf{474}}{\mathbf{12}}=\mathbf{39}.\mathbf{5}$$
The ranks’ correlation coefficients are determined with the formula:
$${\mathit{r}}_{\mathit{s}}=\mathbf{1}\frac{\mathbf{6}\times \sum {\mathit{d}}^{\mathbf{2}}+\mathit{T}\mathit{a}+\mathit{T}\mathit{b}}{\mathit{N}({\mathit{N}}^{\mathbf{2}}\mathbf{1})}$$
where $\sum {\mathit{d}}^{\mathit{2}}$ sum of squared difference between ranks;
Ta and Tb – adjustments;
N – number of respondents.
$${\mathit{r}}_{\mathit{s}}=\mathbf{1}\frac{\mathbf{6}\times \mathbf{600},\mathbf{5}+\mathbf{9}.\mathbf{5}+\mathbf{39}.\mathbf{5}}{\mathbf{25}({\mathbf{25}}^{\mathbf{2}}\mathbf{1})}=\mathbf{1}\frac{\mathbf{3603}+\mathbf{49}}{\mathbf{25}\times \mathbf{624}}=\mathbf{1}\frac{\mathbf{3652}}{\mathbf{15600}}=\mathbf{1}\mathbf{0}.\mathbf{23}=\mathbf{0}.\mathbf{77}$$
With the table containing the critical values of the Spearman ranks’ correlation coefficient we define
${\mathit{r}}_{\mathit{c}\mathit{r}}$ for N=25 (table
${\mathit{r}}_{\mathit{s}}$= 0.77> ${\mathit{}\mathit{r}}_{\mathit{c}\mathit{r}}$= 0.51 (p≤0.01), consequently, the alternative hypothesis is taken (Н1): correlation between the indicators relating to emotional attitude to school and to successful learning activity differ from 0.
Answer: H1 is accepted, since r_emp = 0.77 >〖 r〗_cr= 0.51 (p≤0.01), is in the zone of important differences, therefore the correlation between the indicators of the emotional attitude to school and successful learning activities of secondgrade children is different from 0 (Figure
This indicates that emotions have not only independent motivational value in learning processes, but they depend on what sort of this learning activity is and how it is organized. In learning, the positive emotions can be associated with a school as a whole and with the time a child spends there; with relationships with a teacher and classmates (no conflict with them); with active participation in a school’s life; with the awareness of their potential to achieve success in learning and to overcome difficulties. This may also include the emotions taken from positive outcomes/results a child gets in the learning process, satisfaction from a mark, some positive emotions from discovery done while learning new material (from curiosity emotions and subsequent stable emotionalcognitive attitude to a subject characterizing a child’s enthusiasm towards learning more within the subject) (Hernández, Valiente, Eisenberg, Berger, & Thompson, 2017; Brinkworth, McIntyre, Juraschek, & Gehlbach, 2018). Positive emotions can also arise when children develop their own methods to learning, new ways to improve their academic work and methods of selfstudy (Wagner, 2012; Wong, LiTsang, & Siu, 2014; Stillman, Stillman, Martinez, Freedman, & Leet, 2018). The importance of all these emotions lies in the fact that they create an atmosphere of emotional comfort when learning. This atmosphere is necessary to achieve the goal at creating the successful educational process.
Conclusion
The correlation analysis on interconnection between the indicators allowed to shape correlation pleiade indicating about reliable connection that exists between emotional attitude and efficacy in learning among secondgrade children. The obtained statistical, reliable and correlation connections between the parameters under investigation have the positive modality and are referred to significant and sustainable patterns (p≤0.01).
Acknowledgments
The research was conducted within the scientific project ‘Scientific and methodological foundations of psychology and technologies applied in managing innovation processes in education and in the everchanging world’; within the enhancement programme and plan on scientific and research activities at the Scientific Center of the Russian Academy of Education that is located at South Ural State Humanitarian Pedagogical University, for the period of 20182020.
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28 December 2019
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Dolgova*, V., Kondratyeva, O., Golieva, G., Rokitskaya, J., & Khokhlova, I. (2019). Emotions Influence On Learning Performance Among Elementary Schoolchildren. In D. KarimSultanovich Bataev, S. Aidievich Gapurov, A. Dogievich Osmaev, V. Khumaidovich Akaev, L. Musaevna Idigova, M. Rukmanovich Ovhadov, A. Ruslanovich Salgiriev, & M. Muslamovna Betilmerzaeva (Eds.), Social and Cultural Transformations in the Context of Modern Globalism, vol 76. European Proceedings of Social and Behavioural Sciences (pp. 720728). Future Academy. https://doi.org/10.15405/epsbs.2019.12.04.97