ArticlePDF Available

THE EFFECTS OF STUDENT-TEACHER AND STUDENT-STUDENT RELATIONSHIP ON SCHOOL ENGAGEMENT: AN EMPIRICAL RESEARCH IN BULGARIA

Authors:

Abstract and Figures

School dropout is an important social and economic problem that affects society as a whole and is strongly tied to family psychopathology, individual characteristics and school related factors. Studies show that conflicting teacher-student and student-student relationships are closely related to students' decision to drop out of school. The aim of this study was to examine the effects of teacher-student and student-student relationships, as perceived by students, on willingness to attend school, academic achievement, and prosocial behaviours. The sample consisted of 152 students (53,3% male and 46,7% female) who are studying in low secondary schools, including Roma schools. Results from statistical analysis support the significance of student-students and student-teacher positive relationship as an important factor for school engagement. In conclusion, supportive and caring teacher-student relationships and conflict free peer relationships are related to increased school engagement, motivation for learning, and academic performance. In contrary, children who experience lower quality relationships with teachers and peers (feel rejected or socially excluded) tend to become dissatisfied with school and are at a higher risk for dropping out.
Content may be subject to copyright.
Pedagogy, Volume 91, Number 3, 2019, ISSN 13148540 (Online)
ISSN 08613982 (Print)
1
Pedagogy, Volume 91, Number 3, 2019 Педагогика
Innovation for Education
Иновации за образование
THE EFFECTS OF STUDENT-TEACHER
AND STUDENT-STUDENT RELATIONSHIP
ON SCHOOL ENGAGEMENT: AN
EMPIRICAL RESEARCH IN BULGARIA
Petar Valkov, Elena Lavrentsova
Trakia University Stara Zagora
Abstract. School dropout is an important social and economic problem that
affects society as a whole and is strongly tied to family psychopathology, individual
characteristics and school related factors. Studies show that conflicting teacher-
student and student-student relationships are closely related to students’ decision to
drop out of school. The aim of this study was to examine the effects of teacher-student
and student-student relationships, as perceived by students, on willingness to attend
school, academic achievement, and prosocial behaviours. The sample consisted of
152 students (53,3% male and 46,7% female) who are studying in low secondary
schools, including Roma schools. Results from statistical analysis support the
significance of student-students and student-teacher positive relationship as an
important factor for school engagement. In conclusion, supportive and caring teacher-
student relationships and conflict free peer relationships are related to increased
school engagement, motivation for learning, and academic performance. In contrary,
children who experience lower quality relationships with teachers and peers (feel
rejected or socially excluded) tend to become dissatisfied with school and are at a
higher risk for dropping out.
Keywords: school dropout; teacher-student relationship; conflicts; academic
performance; peer relationships; school engagement
Introduction
School dropout is an important social and economic problem that affects the entire
society. Despite the increasing social significance of education, multiple studies have
shown that many children (up to 12.7%) leave the education system prematurely in
Pedagogy, Volume 91, Number 3, 2019
2
Bulgaria1) (Fig. 1). Compared to the rest of the EU countries, Bulgaria reports the
earliest average age of dropouts with a low level of education: it is as low as 14.3
years, i.e. almost 2 years before reaching the end of compulsory school age (Zahariev,
et. al, 2013).
Figure 1. Early leavers from education and training.
Percentage of the population aged 18 24 with at most lower secondary
education and not in further education or training2)
Few studies have examined the predictors of dropping out of school and their data
have been analysed. Research shows that school dropout is strongly tied to family
psychopathology, individual characteristics and school related factors. Studies also
show that conflicting relationships between teacher-student and student-student are
closely related to students’ decision to drop out of school (Göksoy & Argon, 2016;
Chirtes, 2010). Conflicts with teachers were reported by dropouts as one of the
reasons motivating their decision to leave the school before reaching the end of
compulsory school age.
Dropping out of school is not purely an academic issue and has important
implications with respect to various social, economic, and health outcomes.
Compared to high school graduates, high school dropouts are in higher risk for job
instability (Day and Newburger, 2002), economic hardship (Chapman et al., 2010),
mental health problems and chronic health conditions such as asthma, diabetes, and
Pedagogy, Volume 91, Number3, 2019
3
heart disease (Muennig et al., 2010; Vaughn et al., 2014). Research also has
highlighted the relationship between school dropout and criminal behaviour
including violence, assault, and drug-related crime (Maynard et al., 2015; Olate et
al., 2012; Vaughn et al., 2015, 2014). Of particular relevance to this study, numerous
studies suggest that individuals who drop out of high school may face higher risk for
problems related to use of tobacco, alcohol, marijuana, and other illicit drugs
(Bachman et al., 2008; Maynard et al., 2015; Townsend et al., 2007). While it is
generally acknowledged that school dropout can lead to substance use, the
contributory role of substance use in the pathway to dropout is less recognized than
other risk factors. The ongoing discussion of the question “What comes first:
substance use or school dropout” suggests undoubtedly that the association between
substance use and school dropout is bidirectional (Valkov, 2018).
The reasons children drop out of school are usually multiple and complex and can
be classified into four groups: personal-related, school-related, family-related and
community-related. Although there is rarely one single factor (or event) leading to
dropping out, the risk increases if several factors coexist for a longer period of time
(Charmaraman & Hall, 2011).
The factors identified under personal-related cluster include but not limited to:
cognitive and non-cognitive characteristics of students (persistence, motivation, self-
esteem), entering adolescence, which involves a complex redefinition of their
personalities, student’s anxiety depression and will, that includes personal choice and
decision to leave school (Erikson, 1968; Blos, 1988; Gazelle, 2006; Fortin, et. al.,
2004).
School-related factors consist of high level of racial or ethnic discrimination of
students, school phobia, school violence, conflicts (with teachers, peers), negative
attitude of the teachers, failure in individual subjects, low motivation of certain
teachers to interact with students, poor quality of teaching, deficit of learning and
emotional support and lack of positive teacher-student relationships (Teneva, 2018;
Simić & Krstić, 2017). The unsatisfactory relationships with teachers and negative
climate in the classroom are among the main causes for dropping out of school (Fortin
et al., 2013), particularly for boys (Lessard, et al., 2004).
Family-related factors include excessive consumption of alcohol by the parents,
parents’ lack of interest, divorce, concubinage, domestic violence, siblings dropping
out and chronic illness, including mental disorders within the family (Chirtes, 2010,
Ajaja, 2012, Farahati, et. al., 2003) ). The parents’ low level of education may also
lead to a low family support for education and low motivation in student to attend
school (ibid).
Community-related factors for school dropout consist of living in rural areas,
especially in small and remote localities, unemployment among the adults in the
family, leading to unsatisfactory social, and housing conditions, the limited cultural
and educational opportunities, as well as the lack of convenient transportation.
Marginalized urban neighbourhoods also generate conditions that can lead to school
Pedagogy, Volume 91, Number 3, 2019
4
dropout (Lavrentsova & Valkov, 2017). They are characterized often by low income
and risk environment in socio-cultural terms: social isolation, close ties with the
criminal world and widespread substance abuse (alcohol, drugs) and socialization
with peers with low motivation for education and early school leavers.
The research shows that positive relationships with peers, sense of belonging, lack
of peer violence, as well as participation in extra academic activities and different
kinds of dialogue in the classroom and school are related to lower rate of school
dropout (Simić & Krstić, 2017; Erktin et. al, 2010; Fortin et al., 2013; Pooley et
al.,2008).
This study is part of a university scientific project investigating the problem of
school dropout in Bulgaria, district of Stara Zagora. This research aimed at examining
the effects of teacher-student and student-student relationships, as perceived by the
students, on willingness to attend school, academic achievement, and prosocial
behaviours. It was hypothesised that conflicting relationships between teachers and
students and their peers are closely related to one`s decision to drop out.
Method
This research study was an attempt to identify the risk factors that lead to student
dropout, as seen from the students’ perspective. For this purpose, a questionnaire was
developed, assessing students’ views about various aspects of school, family, health
and important relationships in their life. The questionnaire includes demographic
information, socio-economic status, questions about student-teacher and
studentstudent relationships, participation in extracurricular activities and questions
about the reasons for dropout.
Data analysis included statistical processing of empirical data using SPSS.V.
18.0, descriptive statistics and cross-tabs.
Participants
The sample is comprised of 152 students (81 male and 71 female) who are
studying mostly in low secondary schools, attending different schools in Stara Zagora
region. The participants were recruited from city and village schools, including the
so-called segregated Roma schools.
Demographic Characteristics
The distribution of respondents by ethnic group is shown in Table I. It should be
noted that the majority of those respondents who choose the “other” option in terms
of their ethnicity are representatives of a specific sub-group “Turkish Roma” (Roma
who identify themselves as Turks). Thus, it is no coincidence that their answers are
similar to those of Roma children.
Table 1. Ethnic background
Ethnicity
Frequency
Percent
Valid Percent
Valid
Roma
72
47,4
48,0
Pedagogy, Volume 91, Number3, 2019
5
Bulgarian
62
40,8
41,3
Other
16
10,5
10,7
Total
150
98,7
100,0
Missing
System
2
1,3
Total
152
100,0
Ethical approval and consent to participate
All data was managed in a way that ensures confidentiality and privacy. The study
was approved by the Regional Department of Education Stara Zagora and was
conducted under their written permission. The survey of students at school required
a written consent from the parents of participants. The teachers and parents were
informed that the data of this study will be used for scientific and educational
purposes only.
Results and discussion
The research question “Do you enjoy going to school” indicates that 86,8% of
students enjoy going to school while 13,2% of the sample don’t enjoy school, are
indifferent or annoyed from it (Fig.2). The results show that the greater part of
students who enjoy going to school are those who don’t have or rarely have conflicts
with peers and teachers. Most students, no matter of their ethnic background are
motivated to go to school and want to feel engaged at school. They want a teacher
who greets them by name, as well as reassurance that what they are learning matters
and is actually going to improve their life for the better. When this doesn’t happen,
the kids find their own motivation for coming to school: to get free meal, to connect
with friends, etc. Perhaps the most important finding in research concerning dropout
prevention, attendance and student engagement is that students enjoy most going to
school when teachers care about them, respect and support them (Benard, 2004;
Wimberly, 2002).
Pedagogy, Volume 91, Number 3, 2019
6
Figure 2. Do you enjoy going to school?
For the question “Do you have absences from school?” 33,6% of students
answered they don’t have absences, 58% of them are rarely absent from school while
7,9% of respondents are often absent from school (Fig. 3). The results show no
significant difference between sexes regarding the school absenteeism. As many as
61.7% of boys and 54.9% of girls are rarely absent from school. At the same time
11.26% of girls and 4.9% of boys responded they are often absent from school. The
percentage of those who don’t have absences is equally distributed between the sexes.
Overall the proportion of early school leavers in 2017 in the EU-28 was 3.2
percentage points higher for boys (12.1%) than for girls (8.9%) 5). Nearly all EU
Member States reported a higher proportion of early leavers for boys than for girls.
However, in Bulgaria the proportion of early school leavers is 1.5% higher for girls
than for boys. Reasons for school absenteeism varied and are described in the next
question. The results of this study show that students with higher rate of absenteeism
are those who are more likely to have conflicts with teachers and peers. However, it
is not clear if the conflicts with teachers are a consequence or a cause for school
absenteeism. Another finding suggests that absence rates were highest for Roma
ethnic groups and the amount of absentees increases with age.
Pedagogy, Volume 91, Number3, 2019
7
Figure 3. Do you have absences from school?
On question No 13 “What are the reasons for being absent in school?” 17.8% of
students answered they are absent in school because of family reasons, 61% - because
of illness, 2.7 % - because they have to work, 2% because of conflicts with
classmates, and 13.4% due to other reasons (Fig. 4). The family reasons, related to
school non-attendance include excessive consumption of alcohol by the parents,
frequent home relocations, divorce, poverty, lack of child supervision, domestic
violence, siblings` history of dropout and chronic illness in the family. It should be
noted that students who are chronically absent with no excuse are at higher risk for
having more serious behavioural issues such as violence, substance abuse and
involvement in criminal activity (Valkov, 2018). Particular attention must be paid to
the relationship between school truancy and the dropout rate.
Pedagogy, Volume 91, Number 3, 2019
8
Figure 4. What are the reasons for being absent in school?
Regarding participation in extracurricular forms of work (question 16), the data
show that 57.8% of the students are involved in some extracurricular activity while
the remaining 42.1% don’t participate in any extracurricular activity. Here are some
very worrying trends can be highlighted. Firstly, the great number of students who
are not active in extracurricular activities. Secondly, the extremely low number of
respondents who participated in the social-psychological trainings or counselling (3
persons in total, 2 of which are of Roma origin). This is the group that has the highest
dropout risk because, for obvious reasons, they are less involved in the school life
and fail to develop enough trust and interest in the school community. Unfortunately,
extracurricular activities remain mostly unrecognized as a resource for dropout
prevention in Bulgaria.
Question 18 analyses student-student relationships. The data shows that 33.5% of
students declared they have no conflicts with classmates while the greater number of
respondents (66.5%) answered they have sometimes or oft conflicts with their
classmates due to exclusion, lack of understanding and bullying. Hostile or rejecting
interactions with peers erode feelings of belonging. Research shows that hostility or
rejection from classmates erodes feelings of belonging and contributes to adolescents
feeling lonely and alienated (Guay et al., 1999) as well as increases anxiety and
distress in students’ life (La Greca & Lopez, 1998). Peer rejection has been associated
with indifference and losses in academic motivation and performance (Buhs, Ladd &
Herald, 2006).
Pedagogy, Volume 91, Number3, 2019
9
Quality of the teacher-student relationship has a significant impact on the
student’s school adjustment and on their decision to stay or drop out (Shadreck,
2013). The answers on question 19 indicate how participants perceive teacherstudent
relationship as related to dropping out. Overall most of the students don’t have any
conflicts with teachers (73.6% of respondents) while 26.4% of them responded that
they have conflicts with their teachers. As Stearns and Glennie (2006) have pointed
out, factors internal to the school, such as disciplinary policies or conflicts with
students or teachers, might increase the risk for drop out.
The question 24 required students to indicate the causes for yearly school leaving.
Students believe school dropout is a result of a low interest in learning (almost 37%
of respondents have chosen this option). Another common reason stems from the
serious difficulties in learning (23% of the total). A more significant difference is
evident in this case, when the reason for early school leaving is related to the attitudes
to early marriage (10.5%) - such an opinion is shared mainly by the respondents of
the minority origin (12 Roma students in comparison with 4 of the Bulgarian
ethnicity), which is in line with the cultural-specific prerequisites for school dropout.
The Roma tradition of bride kidnapping puts young women at higher risk for school
dropout. Kidnapping has been seen as a way to avoid a bride price or a way for a girl
to marry a boy she likes, but the parents disapprove of (Pamporov, 2006).
Table 2. Causes of dropout from students’ perspective
Cause
Views (in percentage %)
Low interest in learning
37%
Serious difficulties in learning
23%
Lack of support from parents
13,1%
Problems with teachers
12,5%
Problems with classmates
11,8%
Health problems
11,1%
Attitudes to early marriage
10,52%
Financial difficulties
10,5%
Problems with drugs/alcohol use
5,26
The findings above are consistent with the previous studies of Simić & Krstić
(2017) and Fortin et al. (2013), who found that conflicts (with teachers, school
mates), lack of positive teacher-student relationships and negative climate in the
classroom are among the main causes for dropping out of school. On the contrary,
positive relationships with peers and teachers, the sense of belonging, absence of peer
bullying, as well as participation in extracurricular activities and different kinds of
dialogue in the classroom and school are related to lower incidence of dropping out
of the educational system.
Pedagogy, Volume 91, Number 3, 2019
10
The student engagement in school life and extracurricular activities is not only a
predictor of student retention and graduation from high school, it might serve as a
protective factor that buffers adolescents from deviant behaviours, including
substance use, delinquency, and risky sexual behaviour.
Limitations
While this study has its strengths, there are certain factors that are difficult to
account for when using а survey. We have not been able to test the specific
mechanisms that potentially link school dropout to conflicting relationships with
peers and teachers, and this will be an important dimension for future studies to
address.
Another limitation is related to the sample size. The number of subjects in the total
sample was limited to 152 students and the research was conducted on a relatively
small sample of schools. A future study with a larger sample is needed in order to
check the findings of this study. The participation of a greater number of students and
teachers from different schools in more regions in Bulgaria would lead to a more
thorough understanding of the impact of school factors on dropout risk.
Conclusion
Dropping out of school is only the end of the more general process of school
disengagement, a process that typically begins earlier in school years. Findings
indicate that the promotion of family involvement and positive school and social
behaviours can reduce the risk for school dropout.
In Bulgaria, the focus on school dropout has been put mainly on the students and
their families and how they contribute to this phenomenon. However, school dropout
is rather a social problem where the teacher and peer contribution deserves to be
better investigated.
Positive relationships with teachers and peers, good climate at school and
involvement in extracurricular activities are important protective factors that prevent
school dropout.
In conclusion, supportive and caring teacher-student relationships and conflict
free peer relationships are related to increased school engagement, motivation for
learning, and academic performance. In contrary, children who experience lower
quality relationships with teachers and peers, who feel rejected or socially excluded
tend to become dissatisfied from school and are at a higher risk for dropping out of
school.
The implementation of conflict resolution programs can be used for reducing
school dropout in secondary education.
Pedagogy, Volume 91, Number3, 2019
11
NOTES
1. European Commission, Eurostat. (2015). Early leavers from education and training,
retrieved from: http://ec.europa.eu/eurostat/tgm/table.do;jsessionid=3
vwI7ypm42fhJhswnu2p3hW_qNEoUaHZAQbTRw8JJcNOQfMA0bQG!1007
687445?tab=table&plugin=0&language=en&pcode=t2020_40
2. Data for EU, EEA, Switzerland and Turkey (2017), retrieved from
http://ec.europa.eu/eurostat/ Copyright 2018 by EuroGeographics Association for the
administrative boundaries.
3. European Commission, Eurostat (2018). Early leavers from education and training,
retrieved on 6.November 2018 from: https://ec.europa.eu/ eurostat/statistics-
explained/index.php/Early_leavers_from_education_and_ training#Analysis_by_sex
4. Zachariev, B., Yordanov, I., Delcheva, Y. (2013). “Lost Future? A research of the
phenomenon of children left outside of the school system”, Sofia, United Nations
Children’s Fund (UNICEF).
5. Lavrentsova, E., Valkov, P. (2017). Labor et Education, No 5, 107 124.
REFERENCES
Ajaja, P.O. (2012). School Dropout Pattern among Senior Secondary Schools in
Delta State,Nigeria, International Education Studies, 2, 145 154.
Bachman, J.G., O’Malley, P.M., Scheulenberg, J.E., Johnston, L.D.,
Fredoman-Doan, P. & Messersmith, E.E. (2008). The EducationDrug Use
Connection: How Success and Failures in School Relate to Adolescent Smoking,
Drinking, Drug Use, and Delinquency. New York: Taylor & Francis.
Benard, B. (2004). Resiliency: What we have learned. San Francisco. CA: WestEd.
Blos, P. (1988). The Adolescent Passage. Developmental Issue. New York:
International University Press.
Buhs, E. S., Ladd, G. W. & Herald, S. L. (2006). Peer exclusion and victimization:
Processes that mediate the relation between peer group rejection and children’s
classroom engagement and achievement? Journal of Educational Psychology, 98,
1 13.
Chapman, C., Laird, J. & Kewal Ramani, A. (2010). Trends in High School Dropout
and Completion Rates in The United States: 1971 2008 (NCES 2011-012).
Washington: D.C.
Charmaraman, L. & Hall, G. (2011). School dropout prevention: What artsbased
community and out-of-school-time programs can contribute. New directions for
youth development, Supplement, 1, 9 27.
Chirtes, G. (2010). A case Study into the Causes of School Dropout. Acta Didactica
Napocensia, 3 (4) 25 34.
Day, J. & Newburger, E. (2002). The big payoff: educational attainment and synthetic
estimates of work-life estimates: a meta-analysis review.
Pedagogy, Volume 91, Number 3, 2019
12
Am. J. Commun. Psychol. 25, 115 152.
Erktin, E., Okcabol, R. & Ural, O. (2010). Examining School Related Factors
Leading to Dropout through Children’s Conceptions and Experiences:
Development of a Scale for Attitudes Towards Elementary School. Australian
Journal of Guidance & Counselling, 20 (1), 109 118.
Erikson, E.H. (1968). Identity: Youth and Crisis. New York: Norton.
Farahati, F., Marcotte, D. E. and Wilcox-Gök, V. (2003). The effects of parents’
psychiatric disorders on children’s high school dropout.
Economics of Education, Review, 22, 167 178.
Fortin, L., Marcotte, D., Diallo, T., Potvin, P. & Royer, E. (2013). A
multidimensional model of school dropout from an 8-year longitudinal study in
a general high school population. European Journal of Psychology of Education,
28(2), 563 583.
Fortin, L., Royer, É., Potvin, P., Marcotte, D. & Yergeau, É. (2004). La prédiction
du risque de décrochage scolaire au secondaire: facteurs personnels, familiaux et
scolaire. Revue canadienne des sciences du comportement. 36 (3), 219 231.
Gazelle, H. (2006). Class climate moderates peer relations and emotional
adjustment in children with an early history of anxious solitude: a child ×
environment model. Dev. Psychol, 42,1179 1192.
Göksoy, S. & Argon, T. (2016). Conflicts at Schools and Their Impact on Teachers.
Journal of Education and Training Studies, 4. 197 205.
Guay, F., Boivin, M. & Hodges, E. V. E. (1999). Predicting change in academic
achievement: A model of peer experiences and self-system processes. Journal of
Educational Psychology, 91, 105 115.
La Greca, A. M. & Lopez, N. (1998). Social anxiety among adolescents: Linkages
with peer relations and friendships. Journal of Abnormal Child Psychology, 26,
83 94.
Lessard, A., Fortin, L., Joly, J., Royer, É., & Blaya, C. (2004). Students at-risk for
dropping out of school: Are there gender differences among personal, family and
school factors? Journal of At-Risk Issues, 10 (2), 91 107.
Maynard, B.R., Salas-Wright, C.P. & Vaughn, M.G. (2015). High school dropouts
in emerging adulthood: substance use, mental health problems, and crime.
Community Ment. Health J. 51, 289 299.
Muennig, P., Fiscella, K., Tancredi, D. & Franks, P. (2010). The relative health
burden of selected social and behavioural risk factors in the United States:
implications for policy. Am. J. Public Health, 100, 1758 1764.
Olate, R., Salas-Wright, C. & Vaughn, M.G. (2012). Predictors of violence
anddelinquency among high risk youth and youth gang members in San
Salvador. El Salvador: Int. Soc. Work.
Pamporov, Al. (2006). Roma/Gypsy population in Bulgaria as a challenge for the
policy relevance. Sofia: Bulgarian Academy of Sciences.
Pedagogy, Volume 91, Number3, 2019
13
Pooley, J.A., Breen, L., Pike, L.T., Cohen, L. & Drew, N.M. (2008). Critiquing
the school community: A qualitative study of children’s conceptualizations of
their school. International Journal of Qualitative Studies in Education, 21(2),
87 98.
Shadreck, M. (2013). School Based Factors and the Dropout Phenomenon: A
Study of Zhomba Cluster Secondary Schools in Gokwe District of Zimbabwe.
Journal of Educational and Social Research, 3 (1), 51 60.
Simić N. & Krstić K. (2017). School factors related to dropout from primary and
secondary education in Serbia: a qualitative research. Psihološka istraživanja,
XX (1), 51 70.
Stearns, E. & Glennie, E.J. (2006). When and Why Dropouts Leave High School.
Youth & Society, 38 (1), 29 57.
Teneva, M. (2017). Dropping out of school. Trakia Journal of Sciences, 4, pp. 302
307.
Townsend, L., Flisher, AJ. & King G. (2007). A systematic review of the
relationship between high school dropout and substance use. Clin Child Fam
Psychol Rev, 10(4), 295 317.
Valkov, P. (2018). School dropout and substance use: consequence or predictor?
Trakia Journal of Sciences, 2, 95 101.
Vaughn, M.G., Salas-Wright, C.P., De Lisi, M., Maynard, B.R. & Boutwell, B.
(2015). Prevalence and correlates of psychiatric disorders among former
juveniledetainees in the United States. Compr. Psychiatry 59, 107 116.
Vaughn, M.G., Salas-Wright, C.P. & Maynard, B.R. (2014). Dropping out of
school andchronic disease in the United States. J. Public Health, 22, 265
270.
Wimberly, G.L. (2002). School relationships foster success for African American
students Iowa City, IA: ACT.
Dr. Petar Valkov, Assist. Prof.
Dr. Elena Lavrentsova, Assoc. Prof.
Faculty of Education
Trakia University
Stara Zagora, Bulgaria
E-mail: petervilkov@gmail.com
E-mail: elenavit@abv.bg
... In most schools in Serbia, according to UNICEF Serbia (2017), violence against children and young people including physical violence is committed by school staff. In Bulgaria, 26.4% students, have conflict with their teachers due to corporal punishment or disciplinary policies and it increases the risk for students dropping out of school (Valkov, & Lavrentsova, 2019). In Prishtina, Kosovo, the situation at municipal public schools is a particular concern for safety. ...
... School bullying and rejection by peers is the major form of psychological violence faced by students across South East Europe. Peer rejection is also suggested to increase loneliness, anxiety, and distress among students in Bulgaria (Valkov & Lavrentsova, 2019). It has been associated with indifference and loss in academic motivation and school performance (Valkov & Lavrentsova, 2019 (BECAN, Bosnia, 2012). ...
... Peer rejection is also suggested to increase loneliness, anxiety, and distress among students in Bulgaria (Valkov & Lavrentsova, 2019). It has been associated with indifference and loss in academic motivation and school performance (Valkov & Lavrentsova, 2019 (BECAN, Bosnia, 2012). Verbal bullying has a much higher incidence than physical bullying in schools. ...
... In almost all articles, in parallel with the provision of emotional support, other problems related to the provision of this support are highlighted, for instance at micro-, mezzo-and macro-levels (Alexa and Baciu, 2021), the student's place in diametric and concentric relational spaces (Downes, 2013), the role of the family (Alexa and Baciu, 2021; Mirică and Matic, 2017;Rădăcina Oana, 2012). An inclusive learning environment determined by student-teacher and student-student relationships can prevent early dropout and build a sense of student belonging (Downes, 2013;Lavrentsova, 2019), thus engaging learning methods such as cooperative learning and application of digital technologies (Marzano et al., 2013) could engage ESL more in an active learning process (see Table 2). ...
Article
Full-text available
Aim The aim of the research is to identify and to analyse the possibilities of early school leaving support and predictive factors related to emotional and learning support and classroom organization. Methods Based on the Teaching through Interactions Framework, the study analyses the socio-emotional and methodological factors of early school leaving – emotional and learning support and classroom organization. In the analysis of theoretical scientific literature, a Systematic Review has been carried out, where the scientific articles included in internationally cited databases Web of Science, Scopus and Ebsco have been analysed by key words. Correlation and regression analysis in the SPSS environment of the program for processing quantitative data has been performed in a correlative study. Results The findings of the correlation analysis show that there are statistically significant negative correlations between early school leaving and emotional and learning support, as well as classroom organization. The selected six articles are mostly focused on the emotional support provision. As a result of the regression analysis, the most significant factor predicting early school leaving has been identified - the lack of emotional support. Conclusion Scientific articles included in the WoS, Scopus and Ebsco databases do not use a holistic approach to preventing early school leaving. The lower the emotional, classroom organization and instructional support, the higher the risk of early school leaving. Teacher’s empathy and sensitivity to the academic, socio-emotional and developmental needs of individual students and the whole class are the most important predictors of early school leaving.
... However, the lack of requisite infrastructure and qualified manpower in the educational institutions pose additional problem [36,37,38,39,40,41,42,43,44,45,46,47]. One of the recurring problems in the tertiary institutions is the high students-to-staff ratio which means that one staff is meant to attend to large number of students at a time [48,49,50,51,52,53,54,55,56,57,58,59]. The implication is that effective attention and commitment to the individual student is lacking. ...
Article
Full-text available
In this paper, development of randomization mechanism for online and offline collaborative marking system is presented. Collaborative marking mechanism enables a course lecturer with large class population to use the students to mark the quiz and continuous assessment scripts. The program is coded in C programing language. The program design is based on random number generator and swap functions which are applied to the randomization array used to hold the numbers for identifying each of the students and for shuffling the numbers to ensure that no student is assigned his script to mark. More so, in the offline scenario, the student's script is not allowed also to be assigned to the immediate neighbors sitting on the left or right of the student in the same row. The same shuffling output when applied to the in-between row allocation ensures that no student script is assigned to the same row of the student and in the offline case, no script is assigned to the rows immediately in front or back of the student. The program validates the shuffling output by using a validation output array in which a '0' in the output means a student is assigned his or her script and a '1' or '-1' means a student's script is assigned to the immediate neighbors of the students. The online case is meant to avoid the presences of '0' in the validation array output and the offline case is mean to avoid the presence of '0', '1' and '-1' in the validation output. The sample numerical examples done with a class of 200 students showed that the program satisfied the conditions in the online and the offline scenarios.
... At this point, changing the students´ views and their feelings towards the new institution depend on several factors like the attitude of the institutional staff when delivering services (Schultz., 2020), the balance in school authority when dealing with studies´ requirements, and the student-teacher relation (Christenson et al., 2012). Lavrentsova (2019) believes that small institutions usually manage to create a positive experience for students as they provide them with consistent individual attention and effective student-teacher learning contact. Moreover, small-size institutions are usually located in small communities which helps in creating a strong connection between the students and the communities thus increases the feeling of belonging and decreases the thought of dropout. ...
Article
Full-text available
Higher education dropout has been considered a major concern for several researchers in the field of education around the World. Although different studies were carried out to deal with the topic, they all faced common limitations. This paper explores the twofold research conducted to investigate higher education dropout in Education studies at two of the main Catalan public universities. First, a review of the different theoretical perspectives that tackled dropout was carried out to combine the direct and indirect dropout predictors. Second, some research was conducted in the faculties of Education in the selected two Catalan public universities to investigate the antecedents of higher education dropout. The utilized instrument discussed in this paper is the survey. In the first part, the predictors of higher education dropout were combined in a 5-layer model called the ¨Dimensions of Academic Dropout” wheel (Naaman, 2018). In the second part, the results of the survey analyzed quantitively revealed that dissatisfaction from the program and academic failure are the most important antecedents of higher education dropout in education studies in Catalonia.
... To encourage successful school careers for Roma students, the school needs to become a truly intercultural, inclusive learning environment where teachers set positive expectations, and socio-affective relationships are built on commitment, constructive dialogue, and mutual respect and recognition [16]. In this sense, various studies have shown that the promotion of a positive climate of support, especially by teachers [27], is essential to encourage student engagement in general [44,45], and Roma students' engagement in particular [46]. Moreover, perceived support is positively associated with academic self-concept, which acts as a mediating variable associated with school engagement [47]. ...
Article
Full-text available
SPIRALS program was designed in accordance with the inclusive Universal Design for Learning approach and the social cognitive model of self-regulated learning. This project aims to promote cognitive, emotional, and behavioral engagement among elementary students, and especially those at high risk of dropping out (such as Roma students). To test the efficacy of the program, an intervention study was performed for four months within a truly inclusive learning environment, involving the whole classes. A quasi-experimental pre-test/post-test design with a control group (n = 63) and an experimental group (n = 57) was used. The dependent variables were student engagement (cognitive, emotional, and behavioral), academic self-concept, perceived climate of support, reading comprehension, and academic performance. Students in the experimental group exhibited statistically significant improvements compared to the control group in six of the seven dependent variables analyzed (behavioral and emotional engagement, academic self-concept, perceived climate of support, reading comprehension, and academic performance). Further, the magnitude of differences tended to be larger in student engagement, perceived climate of support, and reading comprehension than in academic self-concept or academic performance. These results provide evidence supporting the usefulness of intervention programs aimed at promoting student engagement, specifically among students at higher risk of failure or dropout.
Article
Research corroborates that classroom atmosphere and the quality of relationships between teachers and learners play a major role in second/foreign language (L2) learning. However, their contribution to learning outcomes has been overlooked. To fill this gap, the present study drew on attachment theory (AT) and self-determination theory (SDT) to assess the interplay between classroom climate, teacher-student relationships, and learning outcomes from the perspective of Chinese EFL students. Moreover, it explored the predictive role of classroom climate and teacher-student relationship in Chinese EFL students’ perceived learning outcomes. To do so, three questionnaires were distributed among a large sample of EFL students (N = 413) in China. Afterward, AMOS software, structural equation modeling (SEM), and confirmatory factor analysis (CFA) were performed to analyze the data. The results showed a strong and significant correlation among perceived learning outcomes, teacher-student relationship, and classroom climate. Regression analysis also revealed that both teacher-student relationship (β = .211, p = .000) and classroom climate (β = .434, p =.000) were significant predictors of EFL learners’ perceived learning outcomes. They could jointly predict 39.8% of the variance in perceived learning outcomes. The results provide a new understanding of the contributions of learning environment and classroom interactions to students’ learning.
Preprint
Full-text available
Most of the research conducted on the Transtheoretical Model of Change (TTM) has focused on health and psychological issues, with limited application in the context of agricultural and environmental behavior change. However, in this innovative study, the effectiveness of interventionist virtual education in changing the behavior of burning crop residues was examined using the behavior change theory. The research employed an experimental design and a quasi-experimental pre-test/post-test design with a control group. The statistical population consisted of 400 wheat farmers, and a sample of 120 participants was selected using purposive sampling. Data were collected through a researcher-made questionnaire and analyzed using SPSS software. The questionnaire comprised four constructs: self-efficacy, the process of change, decisional balance, and stages of behavior change. The findings of this study demonstrate that virtual education based on the TTM model can pave the way for effectively managing agricultural residues by enhancing self-efficacy and facilitating the process of change. Moreover, the results highlight the broader applicability of the TTM model beyond the domains of health and psychological pathology. It can be effectively utilized to address environmental behaviors, such as agricultural residue management. Consequently, it is recommended that researchers and planners incorporate the TTM model in behavior change programs, transform the traditional perspective on agricultural education, and leverage virtual education as a complementary approach to formal education.
Article
Full-text available
The modern technological society needs educated people who, through their high professionalism, are called upon to create its progress. In this aspect, a serious problem stands out – the dropout from school of a large number of children, adolescents and young people. The object of the research is the premature interruption of training for a large number of Bulgarian students. The subject of the study is the causes that provoke the students’ dropping out of school. The aim is to differentiate the negative factors leading to dropping out of school, and to identify the motivating factors that encourage the individual to return to the educational environment. In order to realize the so set target, a specially designed test-questionnaire has been used. The survey was conducted among students attending evening courses who have left their education for various reasons and are currently back to the school institution. The contingent of the study includes 120 students from the evening schools. The results indicate that the reasons which prompted the students to leave school early differentiate into four groups: family, social, economic, educational, personal. The motivation to return to school has been dictated in the highest degree by the need for realization of the person on the labor market, followed by the possibility for full social functioning.
Article
Full-text available
Dropping out of educational system is a serious individual, familial, educational and social problem. It is a complex process influenced by a large number of factors. Nevertheless, it is a phenomenon that takes place in school, and different school factors can serve as risk or protective factors. Dropout rates in Serbia are still high. One way to improve the educational system and ensure equal education for every child is to reduce dropout rates from primary and secondary education. As part of a larger study, the goal of this research was to investigate and identify key school factors related to dropout from primary and secondary schools in Serbia. The research was conducted in 8 primary and 13 secondary schools from 17 municipalities with high dropout rates. In order to hear voices from different actors in the educational system, qualitative research was conducted , involving interviews and focus groups with teachers, school principals, school psychologists, counsellors, pedagogical assistants, parents and students. Following the analysis, several school factors highly related to dropout were singled out. Low quality (individualisation) of teaching, lack of learning and emotional support and lack of positive teacher-student relationships proved to have the greatest influence on student dropout. On the other hand, our results indicate that student and parent participation in school life is underused as a resource 1 The paper is the product of work on the Project "Identification, measurement and development of cognitive and emotional competences important for a society oriented towards European integrations" (No.
Article
Full-text available
Based on teacher views, the study was set out to identify school conflicts, reasons behind them, their impact and responses to conflicts. The study undertaken via survey model utilized a qualitative research method. Study group of the study was composed of 57 classroom and subject matter teachers employed in Bolu central district during 2014-2015 academic year. Research data were collected with the help of semi-structured interview form and analyzed via content analysis. Some of the results obtained in the study are as follows: According to teachers, conflicts at schools are negative situations caused by differences of opinion and forming groups with like minded people based on inability to find common ground and disagreements, tension, unconformity, lack of communication and ideological clashes. Conflicts result mainly from lack of communication followed by personal, political-ideological and organizational factors. Conflicts have both negative and positive results in psychological, social and organizational aspects. Teachers who experience conflicts have negative feelings such as disappointment, insensitivity, stress, sorrow, uneasiness etc. and may dislike their professions, have low morale and motivation, form groups with like minded people and have reduced performance. Teachers who experience conflicts either respond, by arguing, evading the situation or using violence, or remain unresponsive.
Article
Full-text available
The major purpose of this study was to determine the pattern of dropout among secondary school students in DeltaState. To guide this study, 7 research questions were asked and answered, 3 hypotheses stated and tested at 0.05level of significance. The design of study was Expost facto using the past school attendance registers as the majorinstrument. The samples of the study consisted of 120 senior secondary schools and 120 vice principals. Thecollected data were expressed in percentages, and analyzed with t-test statistic. The major findings of this studyincluded: (i) a higher percentage of dropouts in SSI, and a decline in SSII; (ii) a higher percentage of dropoutsamong females in all parameters; (iii) a higher percentage of dropouts in rural schools; (iv) a higher percentage ofdropouts in mixed schools; (v) a higher percentage of dropouts in public schools; (vi) a significant difference onpercentage dropouts between male and female single sex schools; (vii) a significant difference on percentage ofdropouts between mixed and single sex schools; and (viii) a significant difference on percentage dropouts between schools in urban and rural areas. It was concluded that the single most important factor, which influenced pattern ofdropouts, was student's sex.
Article
Full-text available
Despite state support for mass education in Turkey, there are many primary school children who do not attend school or who drop out before finishing school. This study is part of a project investigating the problem of school dropout in a district of Istanbul. Factors related to school, such as failure, non-acceptance by teachers and peers, poor attendance, and low levels of involvement, have been associated with increased likelihood of dropout. Modifying the instructional environment, strengthening school membership, and creating alternative schools have been suggested as means to prevent dropout. A questionnaire assessing attitudes toward school was administered to 480 students from 13 elementary schools for the purpose of identifying the characteristics of schools that lead to dropout. Factor analysis results indicated five factors of school-related attitudes, including attitudes toward learning; toward teachers; toward school and school facilities; and students' perceptions of parent-school relationships.
Article
Full-text available
This study examined the distribution of substance use, mental health, and criminal behavior among dropouts derived from a nationally representative sample of 18-25 year old (N = 19,312) emerging adults in the United States. Using public-use data from the 2010 National Survey on Drug Use and Health, this study employed multiple logistic regression with adjustments for complex survey sampling and compared high school dropouts with graduates with respect to substance use, mental health, and criminal behavior. After controlling for the effects of age, gender, race/ethnicity, family income, receipt of government assistance, employment status, and metropolitan population density, dropouts were more likely to meet criteria for nicotine dependence and report daily cigarette use, and more likely to report having attempted suicide in the previous year, been arrested for larceny, assault, drug possession or drug sales relative to their high school graduate counterparts. The findings of this study provide important insights and an initial epidemiologic portrait of mental health, substance use, and criminal behaviors of dropouts during emerging adulthood.