INTRODUCTION
The Federal Government of Nigeria had adopted education as an instrument par excellence for effecting national development. If education has been adopted as the only tool that can solve the socioeconomic problems of Nigeria then the adequate supply of effective teacher becomes the core of the educational problems because there is a direct link between the quality of education and the quality of teacher.
This view is adequately reflected in the national policy on education in section
9:59 on the purpose of teacher education that:
The National Implementation Committee for the National Policy on Education commenting on the issue of professional roles of the teacher recommended that:
These views seem to suggest that the real value of sound educational policies
lies in its effective implementation and it is the teacher in the final analysis
who transforms theory into practice and Ukeje (1976) explained
that:
Armed with these views, the researcher asserts that the system of training teachers should be the keystone of any national system of education, especially in a rapidly developing country like Nigeria. The effectiveness of teacher training will be the main determining factor in the success or failure of education to meet that country's needs.
Several studies abound that concerned themselves with effect of teacher effectiveness
on students’ educational achievement such as Schneider
(1979), Adeyanju (1980), Abiri
(1976), Zaku (1983), Okpala and
Onocha (1984), Adewumi (1985), Awoyemi
(1986), Danesty (2004), Nulifereb
(2004), Rice (2003), Jacob and
Lefgnen (2006), Adediwuraa and Tayo (2007) and Agharuwhe
and Nkechi (2009). A considerable body of research findings is available
to support the contention that in the balance, better qualifications of teachers
would lead to better performance of students. Goodman (1959)
established that there are links between pupils' performance and teacher effectiveness
and between performance and classroom atmosphere. Teachers' experience was measured
in terms of the number of teachers in a district with five or more years of
employment as a classroom instructor. Classroom atmosphere was a measure resulting
from an observer's rating of the degree to which the teacher attempted to relate
the subject matter being considered to the interest and ability levels of students.
In a similar study, Thomas (1962) using data from Talent'
Project to investigate the influence of a large number of home, community and
school found that the initial salaries of teachers, the teacher's experience
and the volume of books in the library were significantly related to students'
scores. Similarly, Calamine report indicated that teachers' quality is a major
determinant of scholastic achievement among students and that feasible change
in the level of quality of the teachers of Negro students would bring about
significant changes in the achievement levels of these students.
Using a sample of 337 schools in IOWA to investigate the relationship between
students' performance and teacher effectiveness, Coleman et
al. (1966) reported that teachers' salary and number of instructional
assignment per teacher were associated mill increment of pupils’ achievement.
Like Coleman et al. (1966) and Plowden
and Lady (1967) sponsored by central Advisory Council on Education in England
indicated that the age of the school building, the experience of teachers, the
degree of academic preparation and the abilities of the pupils more positively
correlated with students performance. In a reanalysis of Coleman
et al. (1966)’s report, Nancy (1971)
as a result of longitudinal study of 956 grades in 36 Boston classrooms and
30 teachers revealed that statistically significant relationships existed among
achievement and teachers, years of experience and verbal ability. By far the
most widely discussed were the ComberKeeves and Thordike reports on the science
study of IAEA.
This study drew sample from 15 developed and 4 developing countries and three
populations were tested, primary students aged 10, low secondary students aged
14 and final year students in the secondary schools. Using stepwise ordinary
test square regression, they reported that teacher certification, academic experience
at the secondary grade, teacher motivation, homework and freereading at home,
positively related to students' performance. Nancy (1971)
saw yet another publication of a report by the Bureau of School Programme Evaluation
of the New York State Education Department. Three different research strategies
were employed to investigate relationship, between various school factors and
student performance in reading and Mathematics. The report indicated consistently
high correlation between teacher characteristics, staff attitudes and incidences
of practiced work and students' performance. In another study of teacher effectiveness,
Schneider (1979) used individual students as units of
analysis. Her sample consisted of 493 elementary school children in grades 37
from urban schools. Information on students' family peer, teacher and school
characteristics were obtained over a period of 2 years. The results showed that
some important characteristics affected the children's performances including
degree of academic emphasis, teachers' action in lessons, unavailability of
incentives and rewards; good conditions for pupils and the extent to which children
were assigned responsibility.
Similar researches on teacher effectiveness have been done in the Nigeria environment
but on a smaller scale compared to what obtained in the developed world. Furthermore,
it is an irony of circumstance that there is a world of difference between what
has been documented in research findings concerning the effectiveness of teaching
personnel in Nigeria and what has been professed by researchers in the developed
world. The often talked about falling standard of education in schools is often
largely attributed to the teachers. In most cases, it is felt that the teacher
directly or indirectly responsible for schools' good achievement. Expressing
views on this issue, Fafunwa (1961) says:
Similar opinion was expressed by Abiri (1976) that
experience in this country had shown, however that teaching was very rarely
enthusiastically chosen as career by Nigerians owing partly to the erstwhile
relatively poor remuneration and low status of teacher. This may perhaps explain
in part what is responsible for the poor performance of pupils in the examinations.
It is ultimately certain that students could not benefit much from learning
where teachers are not competent.
Zaku (1983) studied the relationship between some teachers
and classroom variables and students, performance, using data collected by teacher,
questionnaire and school environment. Three regression analyses were performed,
one to determine how much of the variance in students' performance was explained
by both teacher and classrooms variable, teacher and other to determine the
contribution made by teacher and classroom variable, respectively. All the variables
together explained 16.9% of the variance in mean students' performance on the
Chemistry examination (R^{2} = 0.16933). The results were however, nonsignificant
at the 0 .05 level of confidence. Zaku (1983) also reported
that the teacher variable (i.e., the aggregate of teacher's other responsibilities,
total number of Chemistry periods and whether or not teacher has knowledge of
students family background) made the highest contribution to explaining the
variance in students' performance (i.e., 10.30% of the variance with partial
regression coefficient 0.31488 significant at 0.05 confidence level). This researcher
revealed that the variable which was made up of the teacher aggregate of the
teachers' age, number of years spent in teaching Chemistry made very little
contribution to the explain variance (R^{2} = 0.00350) and it has a
nonsignificant standard partial regression of 0.05926.
A similar research was conducted by Okpala and Onocha (1984)
on the perceived needs and correlation of need for improved practices of integrated
science teachers. Their report indicated that a combination of the professional
qualification, integrated science teaching experience, age and sex seemed to
be effective in predicting integrated science teachers' perceived need for improved
evaluation and correlation coefficients were significant at 0.01. A similar
study by Awoyemi (1985) was on the relationship between
the characteristics of teachers in terms of sex, years of teaching experience,
age, academic qualification, marital status, socioeconomic status background,
factor of choice of teaching and the history of teaching in the family on the
one hand and the effectiveness of the teacher on the other hand.
The research involved 1280 forms IV and V secondary school students and 191
teachers in Kwara State. Using product moment correlation and Z scores, Awoyemi
(1985) reported that first and broadly, teacher preparation in terms of
qualification, factors of choice of subject as a career, age, marital status
and years of teaching experience had great Influence on teacher effectiveness.
Adewumi (1985) study was on the degree of relationship
between Mock School Certificates (Mocksc) and West African School Certificates
(WASC) examination results in some schools in Kwara State from 19801982. In
addition, the researcher also considered the effect of teacher qualification,
length of teaching experience and experience in the marking of WASC/G.C.E. examinations.
The research involved 1,108 Form V secondary school students in 15 secondary
schools. Subjects used were Mathematics, English Language, Biology, Chemistry,
C.R.K. and Economics.
Series of statistics were used including Pearson Product Moment Correlations,
Fisher Z transformation; ChiSquare and PhiCoefficient (i.e., measure of association).
Adewumi (1985) reported that teacher’s academic qualifications,
the average length of Form V, teacher’s years of teaching experience did
not significantly affect the magnitude of the correlation between Mocksc and
WASC. From the foregoing review of literature, it could be seen that the crucial
role of teacher effectiveness in determining students' performance is one of
the topics in the field of education which have generated heated argument.
Since school goal achievement is related to teacher effectiveness and the major purpose of hiring a teacher is instructional effectiveness, the evaluation of such effectiveness is a challenge to school goal achievement and this concern forces us to look more critically into teacher effectiveness as a necessary area of continuous investigation. This is based on the assumption that every teacher's characteristics contribute to the level of his/her effectiveness which is not a source of error variance but integrally related to teacher's characteristics. With regard to the fact that several works have been done in this area, it is noteworthy that although, these studies so far reviewed are lucid, elegant in exposition and they provide massive good examples of teacher effectiveness, they also reflect some common shortcomings.
Most of them have weakness that is attributable, in part at least, to the fact that they are correlational studies. Thus, the statistical result cannot reliably predict tin students’ educational achievement. At the present level of the educational development, effort needs be made in causal inferences, for instance we need to infer whether the variables of teacher effectiveness cause the students’ educational achievement or to investigate the extent to which these variable could be used to explain and/or predict the students’ educational achievement. In this study, therefore the teacher is considered as the leader, whose effectiveness is related to his ability to be considered, to initiate structure, to organise classrooms roles, to help increase the students' skill level and to motivate them. It is claimed, therefore that the teacher’s ability to achieve these would determine his/her effectiveness.
The purpose of the study, therefore is to reexamine these variable on stronger statistical analysis such that the results could be used to explain and/or predict the students’ educational achievement. Doing this will involve the investigation of whether significant difference exists among the urban, semiurban and rural areas of Kwara State secondary school students’ perceived teacher effectiveness. It will also involve the investigation of whether the variables used as teacher effectiveness could be used to explain and/or predict the students' educational achievement. Even when research findings have revealed that the crucial role of teacher effectiveness in determining students' performance is one of the topics in the field of education that have generated heated argument, the researcher is of the opinion that results from research findings concerning teacher effectiveness if appropriately articulated could be used to initiate structure, to organise classroom atmosphere, to help to increase the students' skill level and to motivate students in their learning performance. Other significances are that results from such findings could be desirable factors for the achievement of schools objectives of which students educational achievement forms an important factor. The effects of teachereffectiveness on students’ achievement particularly on Mathematics are researchworthy.
MATERIALS AND METHODS
Hypothesis: On the basis of the foregoing discussion, the following
nullhypotheses are generated and tested at an alpha level of 0.05.
Ho_{1}: There is no significant difference among the urban, semiurban and rural areas of Kwara State secondary school students' perceived teacher effectiveness.
Ho_{2}: There is no significant relationship between Kwara State secondary and school students' perceived teacher effectiveness and their achievement in Mathematics.
Research design: The research was expost facto causal comparative study because the researcher investigated the interrelationship of teachereffectiveness on students’ achievement in Mathematics as they had occurred rather than creating these manifestation himself. Students’ scores in Mathematics were treated as criterion variable while teacher effectiveness were treated as independent variable.
Population: The target population comprised all secondary school students
in Kwara State, the desired target population consisted of all secondary school
students in the senior secondary schools while the defined target population
composed of all Senior Secondary School Student 1 (SSS I). Using a stratified
method, the area of study (Kwara State) was delimited into urban, semi urban
and rural areas. Dickson (1974) theory of urbanisation
called the functional specialisation theory was used in the delimitation of
the study area The fundamental idea in the theory is based on the specialisation
of functions among human communities through the division of labour. About 750
Senior Secondary School Students 1 (SSS I) (250 from each delimited area) were
selected by the stratified and simple random sampling techniques. The stratification
parameter represented a kind of control variable.
Instrumentation: Students Assessment of Teacher Effectiveness Instrument
(SATEI). The researcher is of the humble opinion, like those of Mckeachie
(1969), Crawford and Bradshaw (1968) and Awoyemi
(1985) that the best subjective judgement of the criterion of teacher effectiveness
might be provided by die students of the course. The questionnaire used for
the study, Student Assessment of Teacher Effectiveness Instruments (SATEI) was
used to measure students' assessment of the effective teacher. It has two sections:
• 
Data about the effectiveness of the teacher instructional
activities 

• 
Data about the effectiveness of the teacher in cocurricular
activities 

The questionnaire contained a total of 30 items in a five point Likert type scale. The construct validity was determined by correlating SATEI with Teacher Performance Assessment Instrument (TPAI). The results showed a value of 0.95 and the confident limit for the construct validity ranged from the 0.980.88. The reliability was determined by testretest method and it yielded correlation coefficient of 0.95. The questionnaire was administered by the researcher.
Data analysis technique: One way analysis procedure was used to examine the difference among the three groups of students' perceived assessment of teacher effectiveness. Multiple analyststatistical procedures were used to examine the effects of teacher effectiveness on Mathematics. These results were tested at the 0.05 confidence level.
RESULTS AND DISCUSSION
Ho_{1}: There is no significant difference among the urban, semiurban and rural areas of Kwara State secondary school students’ perceived teacher effectiveness. Result in Table 1 shows that apart from variable of teacher qualification (X_{1}) all other variables of teacher effectiveness examined in the research and achievement in Mathematics have significant difference among the three groups of students at an alpha level of 0.05. Achievement in Mathematics (X_{6}) has the highest Fratio of 24.473 while the variable of teacher qualification has the lowest Fratio of 0.966.
Ho_{2}: There is no significant relationship between Kwara State
secondary school students' perceived teacher’s effectiveness and their
achievement in Mathematics. In considering this hypothesis, we first examine
the zero order correlation coefficient matrixes of both the criterion and independent
variables and the result is shown in Table 2.
Table 1: 
Summary of one way analysis of variance group means 

*Significant, p≤05, X_{1} = Teacher qualification,
X_{2} = Teacher experience, X_{3} = Teachers instructional
activities, X_{4} = Teachers cocurricular activities, X_{5}
= Teacher effectiveness, X_{6} = Mathematics scores, U = Urban,
Su = Semiurban, R = Rural 

The results in Table 2 shows that teachers' instructional
activities have the highest coefficient of 0.90151 with the combined variables
of teacher effectiveness. The lowest correlation coefficient is 0.19453 between
teacher qualification and teacher cocurricular activities. It is also observed
that apart from teacher's experience, teacher qualification has negative correlation
coefficients with other variables considered in this research which are also
significant at the 0.05 alpha levels. It is significant to note here that although,
some of the correlation coefficients are negative and low, they guaranteed greater
reliability of the relative importance of the partial and semipartial regression
coefficients that are reported. Having examined the correlation coefficient
matrix, we proceed to examine the results obtained from multiple regression
analysis.
The results in Table 3 shows that the regression analysis
yielded a multiple correlation of 0.28776 between scores in Mathematics and
the other five variables listed with 8% conservative estimates of the percentages
of variance explained and Fratio of 21.49381, significant at 0.001 levels.
Clearly, the subjective independent variables predicted considerably the objective
measure of of students’ achievement in Mathematics at the terminal of their
junior secondary school examination. The analysis included unstandardized regression
weights (B) of 0.03741, standardized regression weights (β) of 0.11710
and standard error of estimate (STD) (Error B) of 0.01149 with Fratio of 10.603.
These results showed that the research independent variables of teacher effectiveness
are significant in predicting the objective measures of students' achievement
in Mathematics test. The thrust of the study and the analysis was to assess
the effects of teacher effectiveness on students’ achievement in Mathematics
in Kwara State secondary schools.
Table 2: 
Zero correlation coefficient matrix 

X_{I} = Teacher qualification, X_{2} = Teacher
experience, X_{3} = Teacher instructional activities, X_{4}
= Teacher cocurricular activities, X_{5} = eacher effectiveness,
X_{6} = Mathematics test score 

Table 3: 
Summary of the results of multiple regression of students'
performance in Mathematics 

*Significant p≤0.05 

The first step in the analysis was the use of one way analysis of variance
to examine whether significant difference exists among the three groups of students’
perceived teacher effectiveness in Kwara State secondary schools and their achievement
in Mathematics. The results revealed that except for the variable of teacher
qualifications, significant differences exist in other variables of teacher
effectiveness and in achievement hi Mathematics.
One of the most interesting features of the analysis was the finding that in the variables of teacher cocurricular activities (X_{4}) and teacher instructional activities. The senior secondary school students in the rural areas of the State have higher means (X  113.34; X = 128.04, respectively) than their counterparts in the semiurban areas only with means of 125.76 and 109.04, respectively. The possible interpretation of this finding could be that in the urban schools because of their proximity to the Ministry of Education HeadQuarters and of course some surprise visits by some of the Ministry Officials to these schools, the teachers in the urban senior secondary schools are constantly at alert to their responsibilities.
Again in the rural areas where there are not much social facilities, the few senior secondary schools appear to offer a better place of leisure to the teachers, thereby affording them much contact with their secondary school students and enough time to prepare their instructional materials In the semiurban areas, the officials of the Ministry of Education are a bit far away and the school authorities are often notified of any official visit. Not only is this, in the semiurban area, there relatively growing social facilities such as clubs, public drinking places and film houses. These social facilities may therefore serve as deterrents to the teacherstudent contact and in some respects the adequate preparation of instructional materials.
Noteworthy, however is that regardless of these advantages of teachers’
cocurricular activities and teachers’ instructional activities of the
senior secondary school students in the rural areas over and above those in
the semiurban schools, the latter outperformed the secondary school students
in the rural areas. The mean scores in educational outcome for the semiurban
and rural senior secondary school students are 102.09 and 96.63, respectively.
This finding tallies with the finding of Balogun (1974)
that:
The results showed that there is no significant difference among the three sets of students in teachers' qualification (F = 0.996). Generally, speaking with the low status accorded teaching profession in Nigeria, especially at the lower level of education, experienced and qualified teachers hardly stay too long in classroom. Obviously with the introduction of policies designed to produce equality of educational opportunities, large number of schools were opened but as an ILO. Report pointed out that the problem of insufficient number of primary and secondary school teachers still remains but parallel problems of underqualified and unqualified teachers at these levels is also giving rise to concern. It was estimated that by 1982, the number of unqualified and underqualified teachers could exceed 180,000. The Blue print ILO warned of a dangerous dilution of the quality of teaching. With regard to the results in zero order correlation coefficients, the coefficients range from 0.901510.19453 which is significant at the 0.05 alpha levels. Of interest in the matrix is that teachers' qualification has negative coefficient with the other variables of teachers’ effectiveness and with the students' achievement (m) mathematics. This piece of information suggests that the more qualified the teachers are in the three different environments, the less they participate in the school activities.
As it is often the case, the highest qualified teacher in the school is mostly
made the Principal or the Head of the department and he/she is therefore preoccupied
with administrative functions. This calls for urgent review because drawing
the most qualified teachers from classrooms may in the end be a deterrent to
students’ educational performance. One of the most controversial issues
in education especially in the developing world is the effect of teacher effectiveness
on students' educational achievement. In this research, the researcher selected
four independent variables (i.e., teachers’ qualification, teachers' experience,
teacher instructional activities and teachers’ cocurricular activities
which are however, by no means exhaustive) on account of their importance and
applied multiple regression analysis, using the students’ achievement in
Mathematics as criterion measure. Multiple regression analysis was used to describe
the entire structure of linkages between these independent variables and the
criterion measure and to assess their logical sequence of structural model that
is posited a priority causal theory. The multiple regression analysis yielded
a multiple correlation coefficient of 0.28276, 28% conservative estimate of
the percentage of variance explained in Mathematics with Fratio of 21.49381.
Clearly the subjective independent variable predicted objective measure students'
achievement in Mathematics at the terminal of their Junior seconds school examination.
It is most gratifying to note that there is significant effect teacher effectiveness
on the students’ achievement in Mathematics. Teachers play a significant
role in the students' achievement in Mathematics especially at the secondary
level and particularly of those that were involved in the study because teacher's
effectiveness influence the students a great deal in their sense of worth, their
attitudes toward Mathematics, their level of aspiration and how they control
their own learning programme in Mathematics. This result conforms to Okpala
and Onocha (1984) report that:
This finding does not, however conform to the findings of Zaku
(1983), Adewumi (1985) and Awoyemi
(1986) that these variables had nonsignificant correlation coefficient
with students achievement in the various subjects that the examined. The difference
may be accounted for by the type of statistical met, he employed in the analysis
of data. At this point of the discussion, it would be obvious that the discussion
on results of multiple regression analysis hi various forms is we suited to
predictive and explanatory study of any controversial issue on education. The
researcher is not saying, however that these methods of analysis would be definitive
tests of theory but causal thinking plays an important role in the application
of multiple regression analysis.
CONCLUSION
On the basis of the findings, the researcher is of the opinion that the poor performance of Kwara State secondary school students’ in Mathematics may be alleviated by the government finding ways and means of increasing teachereffectiveness in terms of allowing qualified and experienced teachers to handle Mathematics with adequately provided instructional materials. Such teachers to be maintained in schools have to be adequately remunerated. This research was done before the creation of States in August 1991. Kwara State, therefore means Old Kwara State.