European Journal of Education Studies
ISSN: 2501 - 1111
ISSN-L: 2501 - 1111
Available on-line at: www.oapub.org/edu
Volume 3 │ Issue 4 │ 2017
doi: 10.5281/zenodo.439136
THE IMPACT OF TEACHER CHARACTERISTICS ON
PERFORMANCE IN SECONDARY SCHOOL SCIENCE SUBJECTS IN
ELDORET MUNICIPALITY, KENYA
Ambogo Mabel Muduliai
Department of Educational Management and Policy Studies,
Moi University, Kenya
Abstract:
The study sought to determine the impact of teacher characteristics on performance in
secondary school science subjects in Eldoret Municipality in Kenya. Stratified random
sampling was used to draw a sample of 14 head teachers, 49 teachers and 289 form
three students. Stratification was based on the schools performance in KCSE science
subjects for the period 2001-2005 to obtain 7 low performing and 7 high performing
schools. The purpose of the study was to find out the influence of teacher factors of: age,
motivation, experience, competence, and methods of teaching on performance in
sciences. The study was significant as performance in science subjects has been poor for
a long time in Eldoret Municipality. Most students score below grade C- in science
hence do not proceed to do science–based careers. Data was collected using
questionnaires. Descriptive statistics were used to analyse and summarise the data. Ttest was used to test for significant differences between means of low performing and
high performing schools. Correlation was used to show relationships between
performance and the research variables. The findings showed that the impact of
competence and motivation of teacher as well as teaching method was significant but
other factors such as attitude, qualifications and experience of teacher were not
significant.
Keywords: teacher motivation, competence, experience, teaching methods, attitude,
performance
Copyright © The Author(s). All Rights Reserved.
© 2015 – 2017 Open Access Publishing Group
544
Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
1. Introduction
The problem of poor performance in science subjects is wide-spread as indicated by
studies done by Valverd and Schmidt (1997) in USA, Landry (1998) in Canada and,
Fonseca and Conboy (2006). This problem is made worse in developing countries by the
existing digital divide, poverty and other problems unique to the third word. In Eldoret
Municipality, performance in KCSE science subjects is poor as majority of the students
score a below average mean grade (C- Minus) and below as shown in table 1.
Table 1: Uasin Gishu District KCSE Mean Grades in Biology, Chemistry and
Physics for the Years 2001 to 2005
Year/Subject
Biology
Chemistry
2001
5.397
3.702
2002
4.910
3.795
2003
4.972
4.089
2004
5.884
4.171
2005
4.477
3.739
Source: Uasin Gishu District 2004 and 2005 Results (Editions for Education Day).
This bars learners from entry into science- based courses.
Physics
4.656
5.618
5.091
5..350
4.757
2. Teaching Methods, Teacher Qualifications, Competence and Teacher Development
According to Mukwa and Jowi (1988), laboratory and practical work techniques are
highly suitable for teaching agriculture, social and natural sciences. In this method, the
cause, effect and nature of the learning activity are determined by actual experience or
experiment under controlled conditions. Students therefore learn skills and acquire
knowledge in a real life setting. Other appropriate teaching methods are demonstration
and direct experience as they provide students with concrete experience of real life
situations. Fonseca and Conboy (2006) quoting Easton (2002) said that students in a
residential high school in the USA were interviewed in order to determine perceptions
of their learning needs. The needs they identified included personalized learning,
teachers who care and active learning. They also quoted Wong et al (2002) who said that
teacher behaviours that promote development of student autonomy were important.
Shiundu and Omulando (1992) state that in-servicing of teachers helps to
acquaint the teacher with the latest innovations in curriculum hence enables them to
cope with new demands. There is an on-going in servicing course named Strengthening
of Teaching Mathematics and Science in Secondary Education (SMASSE) (KESSP, 20052010). However, the project has encountered problems of discontent from teachers over
allowances and poor living conditions at the training centres (Kamau, 2005). The
teachers also feel that the training will not make a difference if the other factors
affecting performance are not addressed. (MOE-SMASSE Inset Report (2005 0, Uasin
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Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
Gishu District). Woessman (2001) revealed that higher training of teachers added more
points to students in science compared to teachers who had only secondary education.
‚ bachelor s degree was found to add
more points while a masters or doctorate
increased by 32 points in science. Study leave provision to teachers has encouraged
many of them to pursue further studies. However, TSC does not give a substantial
salary increment to those with masters or doctorate degrees. The Daily Nation (2007,
July
shows the teachers new pay package and indeed there is no mention of a scale
for teachers with post graduate qualification. If Woessman (2001) findings are
representative, then the government should pay teachers with qualifications above the
bachelor s degree salaries that are commensurate with their qualifications so that they
do not seek employment outside TSC. This would also motivate more teachers to
undertake further studies. Kenya Union of Post Primary Teachers had this as one of
their grievances against the government.
3. Attitude of Teachers and Students to Science Subjects
Shumbo
found out that teachers influence was a possible reason for
impoverished attitudes towards science. The study found out that secondary school
teachers in Harare lacked material teaching resource to use for hands on enquiry. This
leads to poor understanding of the subjects. Hence the notion that the subjects are
difficult arises, leading to a negative attitude. Science subjects are believed to be tougher
than the humanities. Some learners and teachers believe that one has to have special
abilities in order to do science (Fonseca and Conboy (2006), KESSP (2005-2010). The
former found out in a research in Portugal that difficulty of content was ranked third
among factors that students considered as causes of failure in science while the latter
states secondary mathematics and science subjects face problems such as negative
attitude (of teachers, learners parents and education managers). Some teachers
discourage learners by telling them that science is not for every Jack, Dick and Harry
(Litala, 2006). The case of negative attitude by education managers can be illustrated by
what a director of Kenya Institute of Education once said: that it is possible to teach
science without students performing experiments and this would save parents and the
government the cost of school laboratories The Standard ,
.The same paper states that
in many countries, the study of sciences is optional, and where it is taught, low
academic achievement is seen hence there are not enough skilled teachers in Africa.
Thus, almost all Africa universities are steeply skewed towards the humanities. This
also applies to Kenya because in the 7-4-2-3 education system, some students would opt
for the ‚rts and only do the compulsory sciences at O level then proceed to ‚ level
for purely Arts combinations. For this reason, there were more Arts students than
science students proceeding for higher learning. At the time, mathematics, physics and
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Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
chemistry MPC combination was referred to as the mad peoples combination , which
bore the connotation that for one to do those subjects, one had to have intelligence that
is so high that it borders insanity. This tended to alienate sciences from learners who
considered themselves not so clever. The situation has not changed with the 8-4-4
system. Sciences form the second cluster of subjects from which students are expected
to choose two of the three sciences or do all. Rarely do students opt for all the three.
Among the three sciences, physics is chosen by very few students. .
This grim scenario can, however, be improved if proper strategies are employed.
Fonseca and Conboy (1999) reports of a study in which an intervention was adopted on
physics students fraught with negative attitudes and repeated failure. Results of the
intervention showed that continuous engagement of students within meaningful
contexts in a supportive environment (characterized by personal commitment on the
part of the teacher, high teacher expectancies and clear objectives and policies) can
improve performance. An example is that of Thomas Edison-the father of modern
physics. It is said that he was expelled from school because after three years he could
not read or write. But at home, with encouragement from his mother, he was not only
able to read and write but became an outstanding inventor with more than 1000 patents
to his name. (The Standard, 2006)
4. Statement of problem
In Eldoret Municipality, performance in the Kenya Certificate of Secondary Education
(KCSE) science subjects is very poor as majority of the students score C-.as shown in
table 2. This bars learners from pursuing science- based courses at higher levels of
education. Poor performance is partly attributed to certain characteristics of classroom
teachers. Classroom teachers display many characteristics which affect academic
performance but identifying significant predictors help in choosing the appropriate
interventions aimed at improving academic performance. There was therefore need to
determine those characteristics of teachers that are predictors of academic performance.
Basing on this, the author examined the relationship between teacher characteristics or
factors of: attitude, motivation, experience, competence, methods of teaching and
performance in science subjects at the Kenya Certificate of Secondary Education.
4.1 Theoretical framework
The researcher investigated factors influencing performance in science subjects in the
KCSE exam basing on the systems theory by Ludwig Von Bertalanffy (1928), whose
application to organisations was proposed by Katz and Kahn (1966). A system is a
collection of interrelated parts, which form some whole. This study considered schools
as organizations, hence they are systems. Since schools depend on and interact with
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Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
their environment, they are open systems. A basic model of an open system is
diagrammatically shown in below:
A Basic Model of a System Based on Systems Theory;
Environment
Input
Conversion
Output
Environment
Source: Management, Cole (1993)
In relation to organizations (schools included), the inputs include people (for this study,
teachers) materials, Information and finance. These are organized and activated so as to
convert human skills and raw materials into products, services and other outputs,
which are discharged into the environment. There is great inter-dependence between
the system and its environment (Koontz, 1998). Likewise the components of the
organization are inter-dependent (Cole, 1993). Therefore, if anything goes wrong in the
environment or any of the subsystems, the other subsystems will be affected and this
will affect the outputs. Likewise, inputs greatly determine the outputs. Relating the
above argument to the school system, the science department can be considered as a
subsystem within the school. The school has several other subsystems. These include
the administration, personnel (teachers), finance, among others. Performance in science
subjects is part of the outputs of a school system, and is therefore, affected by, not only
what goes on in the science department, but also, in all the other departments.
Thus, basing on the systems theory, a conceptual framework was drawn, linking
the independent and dependent variables as shown below.
4.2 Conceptual framework
Figure 1: Conceptual Model of Linkage between Systems Theory and School Performance in
Science
Independent Variables
Dependent Variable
Motivation
Motivation
Teaching
Methods
Attitude
Teacher
factors
Performance in
KCSE Sciences
Competence
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Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
4.3 Materials and Methods
Ex-post facto survey design was used. Both non-probability sampling and probability
sampling techniques were employed. There were twenty-one secondary schools that
were involved in the study. Of these, eleven (11) were private while ten (10) were public
schools. The researcher purposively selected the top seven (7) and bottom seven (7)
schools based on the overall 2001 to 2005 KCSE results rankings. All the Head teachers
of the fourteen (14) schools were selected as informants but not subjects of the study.
Four science teachers were selected at random in each school as well as twenty two (22)
students from each school to give a sample size of 56 teachers and 308 students.
Questionnaires and content analysis were the methods of data collection. The
questionnaire involved closed-ended and open ended questions. Some of the closedended questions were scored on a Likert scale of 1 to 5 for responses such as strongly
disagree to strongly agree. Document analysis involved sourcing secondary data on
results of KCSE reports for the period 2001from the DEO s office as well as
sampled schools Descriptive statistics as well as inferential statistical methods were
used. The descriptive statistics involved computation of frequencies and means. The
inferential statistics used were t-test and correlation. T-test was used to show if there
were significant differences between the means of the low performing schools and the
high performing schools. Correlation was used to find out if any relationship existed
between performance in KCSE sciences results and the research independent variables
namely: motivation/salary ,teacher attitude, competence and teaching methods at
p<0.05 level of significance.
5. Results and Discussion
5.1 General Characteristics of Respondents and Informants
There were 49 teacher respondents, of whom 30 (68.2%) were male, suggesting that the
teaching of sciences was a male dominated realm, hence lack of role models for female
students. Most of the teacher respondents, 24 (53.3%) taught Biology. This could be
attributed to biology being an integrating subject .That is, pairing up with either
agriculture, geography, chemistry or mathematics while chemistry pairs up with only 3
subjects-biology, physics and mathematics and, physics pairs up with only 2 other
subjects-mathematics and chemistry.
Most of the teachers 33 (71.7 %,) had a teaching experience of up to 10 years. The
view that most of the teachers were fairly young and energetic though inexperienced
was further confirmed from data on their age. Out of the 44 responses, 27 (61.4%) were
below 35 years of age thus suggesting that they were energetic to teach sciences.
However, due to their young age, many of them could be less experienced hence
contributing to the poor performance in science. In response to a question on whether
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Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
the teachers were trained or not, all the teachers (n=49) responded that they were
trained.
It was noted that
. % had a diploma,
. % had a bachelor s degree,
while only 6 (13.0%) were either working on their masters or had a master s degree. The
study sought to investigate the relationship between teacher factors and performance in
science subjects. This was in order to provide answers to the research question which
stated: To what extent do teacher factors of; Motivation, Experience, Competence, Methods of
teaching and Attitude affect performance in KCSE science subjects within Eldoret
Municipality?”
5.2 Motivation of Teachers
Two Likert scale items required teachers to state their views on the levels of motivation
and the effect of financial emoluments on their delivery in the classroom. The items
required respondents to answer the questions There is poor motivation which affects my
classroom delivery” and My employers’ pay package demodulates me from giving my best”.
The results are presented in table 2.
Table 2: Teachers Responses to the Item, Effect Of Motivation and Pay \On Performance
Response
Response
Motivation
Freq Motivation %
Freq
Salary
Salary
%
SD
D
Strongly Disagree
U
Disagree
Undecided
A
6
10
6
3
10
3
18
14.3
23.8
14.3
7.1
23.8
7.1
42.9
4
2
4
9
2
9
16
10.3
5.1
10.3
23.1
5.1
23.1
41.0
Agree
SA
Total
Strongly Agree
Total system
Missing
Total
System
Total
18
5
42
42
7
49
7
49
42.9
11.9
100
11.9
100.0
16
8
39
8
39
10
49
10
49
41.0
20.5
100
20.5
100.0
Table 2 gives the frequency and percentages of the teachers responses there were
mixed views on the influence of motivation and salaries on their service delivery.
However, agreed and strongly agreed if combined scored higher than the other three
combined, for both motivation and salary, implying that a high number of teachers are
demotivated and dissatisfied with their salaries. This is therefore be one of the factors
that cause low performance. Tylor (1960) stated that the output of a highly productive
person decreases when one discovers that he /she was receiving the same compensation
as that of a person who produces less.
Correlation of performance in KCSE, motivation, and salaries yielded data
shown in Table 3.
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Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
Table 3: Correlations of performance in KCSE sciences, motivation and salary
Science
Performance
Cause
Motivation
KCSEMEAN
Pearson Correlation
Sig. (2-tailed)
1
Cause
Motivation
Pearson Correlation
Sig. (2-tailed)
0.487(**)
Cause
Salary
1
0.001
Cause
Salary
Pearson Correlation
Sig. (2-tailed)
0.223
0.168
1
0.173
0.306
**Correlation is significant at the 0.01 level (2-tailed).
There was a significant correlation (r=0.487, p<0.01) between performance in sciences
and motivation indicating that as the motivation increased there was an improvement
in KCSE performance in the sciences. This concurs with the findings of Ngala (1997),
that the productivity of staff is influenced by the assessment of their economic worth as
well as the extent to which their basic needs are met. On the other hand, there was no
significant correlation (r=.223, p=0.01) between performance in sciences and financial
emoluments. This can be attributed to the fact that the salary scales are the same for all
the teachers in the low and the high performing schools.
The study sought to find out if there were differences between the low and high
performing schools on motivation and salary and the data is shown in Table 4.
Table 4: Group Statistics on the Means of Motivation and Salary
High or
Low
There is poor motivation
which affects my
classroom delivery
My employers pay
demotivates me from
giving my best
N
Mean
Std.
Deviation
Std. Error
Mean
Low
25
3.64
1.221
.244
High
17
2.41
1.121
.272
Low
23
3.52
1.123
.234
High
16
3.63
1.310
.328
Table 4 shows that the mean for low performing schools with regard to motivation
(3.64,SD=1.221) was higher than that for high performing schools (2.41,SD=1.121),
meaning that teachers in high performing schools felt more motivated than those in low
performing schools. This could therefore explain the difference in performance. On the
other hand, the mean for low performing schools (3.52, SD=1.123) was not different
from that of high performing schools (3.63, SD=1.310) for pay package. This could be
due to the fact that many teachers in both the low and high performing schools are
TSC employees hence are on the same salary scales. Independent-samples t-tests were
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Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
calculated comparing the mean score on motivation and salaries of schools identified as
high performing schools and schools identified as low performing schools. The results
are presented in table 5
Table 5: Independent Samples Test of Motivation and Salary
Levene s
Test for
Equality
of
Variances
F
Sig.
t-test for
Equality of
Means
T
df
Sig.
(2tailed)
Mean
Difference
Std. Error
Difference
95%
Confidence
Interval of the
Difference
Lower Upper
Equal
Cause
variances
Motivation
assumed
.001 .971
-3.306
40
.002
-1.228
.372
-1.979
-.477
Equal
variances
assumed
.512 .479
.264
37
.793
.103
.391
-.690
.896
Cause
Salary
No significant difference was found (t (37) = .264, p>0.05) in the means of effect of salaries
between the high performing schools and the low performing schools. The mean for the
low performing schools (M=3.52., SD=1.123) was not significantly different from the
mean of the high performing schools (M=3.363, SD=1.310). A significant difference was
found (t (40) =.-3.306, p<0.01) in the means of effect of motivation between the high
performing schools and the low performing schools. The mean for the low performing
schools (M=3.64, SD=1.221) was significantly different from the mean of the high
performing schools (M=2.41, SD=1.121). This implies that there are differences in the
motivational levels between the high performing schools and the low performing
schools. This concurs with the sentiments of Orora (1997), that, signs of high motivation
include high performance, consistent achievement of results, energy, enthusiasm and
determination to succeed.
5.3 Teacher s Competence
Teacher competence was first examined from a perspective of the teacher qualification.
There was no significant correlation(r=-1.43, p>0.05) between performance in KCSE
science and the highest education level attained by the teacher. Teacher competence
was thus defined from a summated score of a scale in the students questionnaire. First
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Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
the scale was tested for internal consistency using Cronbach s alpha. The results
indicated that the scale was reliable as it had a Cronbach s alpha value of .
with
items on the scale and could be used for analysis. Frequency of the individual items in
the teacher competence scale for all the schools is indicated in table 6.
Table 6: Frequency Table for Teacher Competence
Response
Show respect for all students
Are open and receptive to ideas
Show sensitivity to individual
differences
SD
D
N
A
SA
Total Mean
119
268
Frequency
22
24
17
86
Valid
Percent
8.2
9.0
6.3
32.1 44.4 100.0
Frequency
9
18
21
119
Valid
Percent
3.4
6.8
7.9
44.9 37.0 100.0
Frequency
23
28
38
86
Valid
Percent
9.0
10.9 14.8 33.6 31.6 100.0
Frequency
14
28
Valid
Percent
5.3
10.6 10.2 29.5 44.3 100.0
12
21
8
Valid
Percent
4.6
8.0
14.4 41.4 31.6 100.0
Frequency
16
25
61
Valid
Percent
6.5
10.2 24.8 36.2 22.4 100.0
Frequency
14
17
37
Valid
Percent
6.9
8.3
18.1 42.2 24.5 100.0
Frequency
6
12
11
129
Valid
Percent
2.3
4.5
4.1
48.5 40.6 100.0
Frequency
7
10
37
118
Valid
Percent
2.7
3.8
14.1 44.9 34.6 100.0
98
81
265
256
SD
3.96 1.268
4.05 1.014
3.68 1.271
Are punctual for classes in sciences
Show expertise in the subject matter
Frequency
Are current with developments in
field
Integrate theory with real-world
Communicate clearly
Communicate constructively
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27
78
109
89
86
117
83
55
50
108
91
264
263
246
204
266
263
3.97 1.205
3.87 1.086
3.58 1.136
3.69 1.135
4.21
.889
4.05
.
938
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THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
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Communicate candidly and
constructively
Have advanced my knowledge of
the subject
Show enthusiasm toward the
subject
Frequency
6
31
Valid
Percent
2.3
12.1 11.7 36.3 37.5 100.0
Frequency
3
11
26
104
Valid
Percent
1.1
4.2
9.9
39.7 45.0 100.0
Frequency
3
15
34
116
Valid
Percent
1.2
5.8
13.1 44.8 35.1 100.0
12
7
10
100
Valid
Percent
4.6
2.7
3.8
38.3 50.6 100.0
Frequency
14
12
13
94
Valid
Percent
5.4
4.6
5.0
36.0 49.0 100.0
Use helpful examples and references Frequency
Encourage student interaction
30
93
96
118
91
132
128
256
262
259
261
261
3.95 1.090
4.23
.
877
4.07
.904
4.28
996
4.19 1.085
Table 6 shows that the column for (A) and (SA) when combined had higher values
compared to the columns for (D) and SD). Therefore majority of the students considered
their teachers competent, according to this scale. The mean scores for the high and low
performing schools were then obtained and are as shown in table 7
Table 7: Mean Scores for Low and High Performing Schools for Items in the
Teacher Competence Scale
Show respect for all
students
Are open and receptive to
ideas
Show sensitivity to
individual differences
Are punctual for classes in
sciences
Show expertise in the
subject matter
Are current with
developments in field
Integrate theory with
real-world
Communicate
clearly
High or
Low
Low
High
Low
High
Low
High
Low
High
Low
High
Low
High
Low
High
Low
High
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N
127
141
124
141
119
137
122
142
121
142
116
130
90
114
125
141
Mean
4.05
3.87
4.06
4.04
3.82
3..55
4.06
3.89
3.92
3.84
3.41
3.73
3.70
3.68
4.17
4.24
Std.
Deviation
1.227
1.303
1.010
1.020
1.219
1.306
1.123
1.270
1.013
1.146
1.187
1.070
1.203
1.083
.973
.810
Std.
Error Mean
.109
.110
.091
.086
.112
.112
102
.107
.092
.096
.110
.094
.127
.101
.087
.068
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THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
Communicate
constructively
Communicate candidly
and constructively
Have advanced my
knowledge of the
Show enthusiasm toward
the subject
Use helpful examples and
references
Encourage student
interaction
Low
High
Low
High
Low
High
Low
High
Low
High
Low
High
123
140
119
137
123
139
122
137
123
138
123
138
4.23
3.89
4.03
3.87
4.23
4.24
4.11
4.03
4.24
4.30
4.23
4.15
.787
1.030
1.065
1.110
.876
.881
.855
.947
1.089
.909
1.172
1.003
.071
.087
.098
.095
.079
.075
.077
.081
.098
.077
.106
.085
Table 7 shows that the means for low performing schools were slightly higher than
those for high performing schools for all the items except for the items: are current with
developments in the field , communicate clearly , and use helpful examples and
references Students perceived the teachers in low performing schools (M=3.41,
SD=1.187) to be less current than teachers in the high performing schools (M=3.73,
SD=1.070). This could be due to lack of exposure to technological developments such as
internet and current reference books.
Similar differences were found relating to the item of communicating clearly
where the mean for the low performing schools (M=4.17, SD=0.973) was lower than for
the high performing schools (M=4.24, SD=0 .810). The difference can be explained in
terms of entry behaviour of the learners. , Learners in low performing schools are
generally admitted with low cut-off points than those in high performing schools. Thus
the former are more likely to have communication problems than the latter. The mean
for use helpful examples and references was higher in the high performing
schools(4.30,SD=0.909) than for the low performing schools(4.24,SD=1.089).This could
be due to availability more resources in the higher performing schools than in the low
performing schools, hence the difference in performance.
An independent sample t-test was carried out to compare the means of
performance in KCSE sciences based on students responses on teacher competence and
the results are presented in Table 8.
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Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
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Table 8: Independent Samples T -Test for Teacher Competence
Levene s Test
for Equality
of Variances
F
Sig.
t
df
Sig. (2tailed)
t-test for
Equality of
Means
Mean
Std. Error
Difference Difference
95% Confidence
Interval of the
Difference
Lower
Equal
variances
assumed
.002
.963 .831
Equal
variances
not
assumed
Upper
268
.407
.06696
.08057
-.09167
.22559
.832 265.206
.406
.06696
.08049
-.09153
.22545
Analysis of independent sample t-tests revealed that there were no significant
differences (t (268) =.831, p>0.05) in mean of the scale for the low performing schools
(M=4.02, SD=.655) and the high performing schools (M=3.949, SD=.666).This implies that
there were no major differences in the competence of teachers in the two categories of
schools, basing on this students response scale.
6. Methods of Teaching
Teachers were asked to state frequency of use of the various teaching methods. The data
for the low and high performing schools is presented in table 9.
Table 9: Group Statistics on Means of Methods of Teaching Used
High or
Low
Lecture
Discussion
Questioning
Labwork
Project
N
Std.
Deviation
Mean
Std.
Error Mean
Low
High
Low
High
Low
27
18
27
18
28
2.96
3.39
4.11
3.28
4.79
1.629
1.461
1.121
1.274
.787
.313
.344
.216
.300
.149
High
Low
High
Low
High
16
28
18
27
18
4.25
3.54
3.61
2.52
2.56
1.342
.793
1.092
1.014
.922
.335
.150
257
.195
.217
Table 9 shows that the mean for low performance schools was lower (M=2.96, SD 1.629)
than for the high performing schools (M=3.39 ,SD =1.461),implying that teachers in high
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Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
performing schools use the lecture method more than those in low performing schools.
Discussion was used more (M=4.11, M=1.121) in the low performing schools than in the
high performing schools (M=3.28 SD =1.274),probably as a way of enhancing
understanding and retention of what is learnt. The same explanation can be advanced
for questioning, which was higher in low performing schools (M=4.79, SD =.787)
compared to high performing schools (M=4.25, SD =1.342). Lab work was lower in the
low performing schools (M=3.53 SD =.793) than in the high performing schools (3.61, SD
=1.092), perhaps due to inadequate resources in the former. Project work was also
higher in the high performing schools (M= 2.56, SD=.922) than in the lower performing
schools M = . , SD .
, probably due to the learners greater inner drive and
ability to work without supervision in the high performing schools. An independent
Samples t-test produced data as presented in table10.
Table 10: Independent Samples T-Test of Methods of Teaching
Levene s
Test for
Equality of
Variances
F
Sig.
Lecture
Equal
variances
assumed
Discussion
Equal
variances
assumed
Questioning Equal
variances
not
assumed
Laboratory
Equal
variances
assumed
Project
Equal
variances
assumed
t-test for
Equality of
Means
t
Df
Sig.
Mean
Std. Error
(2Difference Difference
tailed)
95%
Confidence
Interval of the
Difference
Lower
Upper
.794
.378
-.895
43
.376
-.426
.476
1.386
.534
2.803
.101
2.313 43
.026
833
.360
.107
1.560
11.89
.001
1.460 21.02 .159
.536
.367
-.227
1.299
1.027
316
-.271
44
.787
-.075
278
-.636
485
.342
.562
-.124
43
.902
-.037
.298
-.638
.564
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Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
The data suggests that there were significant differences in the use of discussion as a
method of teaching (t (43) = -2.313, p<0.05) between the low performing schools and the
high performing schools. There were no other differences noted from the teachers data.
The teachers responses suggested that there was more discussion in the low performing
schools (M=4.11, SD=1.121) than in the high performing schools (M=3.28, SD=1.274).
Based on the fact that the high performing schools were more endowed with facilities it
was expected that there should be significant differences in the use of laboratory work
as a teaching method. However the difference found was very small (M=3.54, SD=.793
and M=3.61, SD=1.O92) for low and high performing schools respectively. This implies
that either the high performing schools do not fully utilise their resources or, the low
performing schools, though not endowed, improvise and carry out many practical. On
the issue of discussion as a method of teaching, bivariate correlations showed the
existence of a strong correlation(r=-.319, p<0.05) between KCSE performance in the
sciences and discussion method of teaching. This agrees with the findings of Conboy
and Fonseca (2006), that the most important factor influencing performance is the
teacher, and by extension, the teaching method. The other methods had insignificant
correlations.
7. Attitude of Teacher to Science
The teachers attitude to science subjects was investigated using a semantic differential
scale examination of the frequency distribution produced data as shown in Table11.
Table 11: Frequency distribution for attitude scale for teachers: Scale 1 extremely good
attitude and 5 extremely bad attitudes
Frequency
Valid
1.00
2.00
3.00
4.00
5.00
Total
Missing System
Total
Percent
10
14
1
2
2
29
20
49
Valid
Percent
20.4
28.6
2.0
4.1
4.1
59.2
40.8
100.0
Cumulative
Percent
34.5
48.3
3.4
6.9
6.9
100.0
34.5
82.8
86.2
93.1
100.0
Table 11 shows that most of the teachers 24 (82.8%) had a positive attitude towards
science. ‚ correlation was done between the teachers attitude and the results are as
shown in Table 12.
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Ambogo Mabel Mudulia
THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
Table 12: Correlation of KCSE mean and Teacher s ‚ttitude to Science
KCSE
MEAN
KCSE MEAN
Attitude scale for
teachers
Pearson Correlation Sig
(2-tailed)
N
Pearson Correlation Sig
(2-tailed)
N
Attitude scale for
teachers
1
49
-054
.782
29
-054
.782
29
1
29
Table 12 shows that there was no significant correlation (r=-0.054, p=.782) between
teachers attitude towards science and performance of the school in KCSE sciences. This
contradicts the findings of, Fonceca and Conboy
who said that a teachers
positive attitude encourages and improves performance.
8. Conclusion and Recommendations
The study found significant differences between the high performing schools and the
low performing schools with regard to motivation. In the high performing schools,
teachers were rewarded for their work and this had a causal effect of increasing their
level of motivation. Issues to do with financial remuneration through salaries got mixed
reaction. Some teachers observed that an increase in salary would increase
performance. This however could easily be disputed as the TSC had made such
provisions where the science teachers were given an increase in salaries but this has not
resulted in an improvement in performance of sciences countrywide. The most
important factor, and one of the most difficult to influence directly, is the competence of
the teacher. Students readily recognize if their teachers are effective or ineffective and
are quick to state the same to an outsider. This was corroborated with data from the
qualitative instrument where some student stated that they did not like it when their
teachers shortened lessons or simply avoided answering the hard questions from the
students. The school head teachers may not be privy to the same level of knowledge of
the competence of their teaching staff. Any effort to get such information is
misconstrued to be infringing on the teachers rights and freedom. This brings into focus
issues on the professional development of a teacher.
The study established that learners were very sensitive to the teachers
pedagogical and content mastery. There were significant differences in what students
perceived as their teachers being current (t (244) = -2.263, p<0.05) and communicating
constructively (t (261) = -2.931, p<0.01). This implied that students perceived the teachers
in low performing schools (M=3.41, SD=1.187) to be less current than teachers in the
high performing schools (M=3.73, SD=1.070) The competence of teachers ranked very
highly among the things that students liked about science.. The methods of teaching
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THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
were found to affect performance as the learners who reported that their performance
was good also attributed this to the fact that they do many practicals, carry out
discussions regularly and participate in asking and answering questions. On the other
hand, those whose performance was low attributed it to lack of practical work , lack of
discussion , the teacher dictating, not giving notes or giving notes with no explanation,
and the teacher not involving learners in what he/she is teaching. Generally
practicals/experiments, which should be the core of science-teaching and which
majority of students enjoy were not being used adequately as a method of teaching as
reported by students. There was no significant correlation (r=-0.054, p=.782) between
teachers attitude towards science and performance of the school in KCSE sciences.
9. Recommendations
Science educators and school leaders need to implement measures that encourage the
development of teacher expectancies for high performance of learners. This requires
generous support mechanisms through which resource materials are made available.
There should be more and frequent in-servicing of both head teachers and teachers on
ways of enhancing the teaching/learning of science. The teaching of science subjects
should be totally practical oriented. .
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THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
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THE IMPACT OF TEACHER CHARACTERISTICS ON PERFORMANCE IN
SECONDARY SCHOOL SCIENCE SUBJECTS IN ELDORET MUNICIPALITY, KENYA
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