Upload
ghernocom
View
229
Download
3
Embed Size (px)
Citation preview
LEARNING MOTIVATION OF HOLY CROSS SOCIAL WORK STUDENTS AND ITS
RELATIONSHIP WITH THEIR PRELIM EXAMINATION IN STATISTICS FOR THE
FIRST SEMESTER OF S.Y. 2012-2013
Submitted in Partial Fulfillment in the Requirements in Research II
Holy Cross of Davao College
Sta. Ana Avenue Davao City
John Michael T. Dumandan
Mayjane Niña G. Alinsub
Maria Leila R. Pacatang
Raniel T. Nocom
Mrs. Grace Castigon, MSW
Research Adviser
Chapter I
INTRODUCTION
This chapter presents the background of the study, statement of the problem, assumptions
of the study, theoretical and conceptual framework, significance of the study, scope and
limitations, and the definition of terms.
Background of the Study
When students are motivated they tend to get better marks at school, work more
effectively on difficult schoolwork, make the most of their abilities, behave well and enjoy
school. On the other hand, if a student is not motivated to learn, they may become disruptive,
apply minimal effort and as result are more likely to perform poorly. A motivated student is one
who has the energy and drive to learn, work effectively and achieve at school. Motivation plays a
key role in a student’s interest, engagement and enjoyment in school and associated tasks such as
homework and study. Motivation also underpins a student’s achievement. (Dr. Martin, A. and
Dr. Tracey, D. 2006)
Student’s motivation towards statistics is a problem faced by the mathematics community
nowadays. “Students believe math has little or nothing to do with the real world”. ( Bruning et
al., 1999 ). This statement shows how statistics students envision the subject which is quite
alarming especially to the teachers and institution offering levels of education supporting
statistics efficiency. Fewer girls than boys students’ take statistics competently. Although these
trends are improving, students’ disinterest in continuing mathematics study beyond statistics is
still a tremendous problem ( Bruning et al., 1999).
Statistics is an essential part of being a social work student. This helps the students to be
ready in their respective field of social work especially in conducting research studies. The
knowledge of statistical analyses enhances the students’ ability to design research studies and to
draw justifiable conclusion from their findings. Social workers also rely on others’ research
findings. We use the result of others’ statistical analyses research data to inform our practice
decision making.
The researchers wanted to determine the motivation on the subject statistics and its
relation with the learning on the subject of the Holy Cross of Davao Social Work students. The
purpose of determining the motivation of the social work students at Holy cross of Davao
College is to assess the student willingness, need and desire in the subject.
Statement of the Problem
The research was conducted to determine motivation on the subject statistics and its
relation with the learning on the subject.
Specifically, this study aims to answer this question:
1. What is the characteristic of social work students in statistics in terms of:
a.) Age
b.) Gender
2. What is the level of motivation of social work students in statistics?
3. What are the preliminary examination scores of Social Work statistics students?
4. Is there a significant relationship between the students’ motivation on statistics and their
preliminary examination score?
Research Hypotheses
The study is a test of correlation between the relationship of students’ motivation and
learning on the subject statistics. The following are the specific hypothesis of the study:
HA – There is a correlation between the prelim exam score of Holy Cross Social Work
students taking statistics and their motivation toward the subject.
Ho - There is a no correlation between the prelim exam score of Holy Cross Social Work
students taking statistics and their motivation toward the subject.
Objectives of the Study
The study aims to determine if there is a relationship between the students’ motivation on
statistics and learning on the subject.
Significance of the study
The research study will be conducted to inform everyone how motivation on the students
affects their learning on the subject statistics which is a subject in their tertiary primarily in Holy
Cross of Davao College.
The study aims to help the following:
Science and Mathematics Community
To be able to give more information in the field of Social Science Research and for them to
be aware of how motivation on students affects their retention on the subject mainly on statistics
that is part of the scope mathematics. This would also help them to know how motivated the
students who are taking statistics.
School
To let the institution determine the learning of their students on statistics and for them to be
able to find techniques on how to orient the teachers of the school on the proper and best way of
teaching or the most effective and efficient instructional practices towards the students in relation
with their motivation on the subject.
Teachers
To let them know on what level of retention on statistics did the students acquire and let
them know how their students motivation affect their grade in the subject. This would be a great
advantage to their part for the very reason that they may be able to help students who are not
motivated in the subject and not good at it at all. In result, this would help produce more
competent and prepared Holy Cross of Davao College students.
Students
To evaluate themselves on how good they have performed on statistics and to facilitate
themselves on their level of motivation with the subject. This study would be a great help as to
what part of the students’ motivation on the subject statistics is needed to be settled or improved.
Scope and Limitation of the Study
The study focuses on the motivation of 36 social work student who are enrolled at Holy
Cross of Davao College in the first semester of school year 2013-2014 and taking up statistics
subject. It also focuses in the learning of the subject matter and its relation with the motivation of
social work student in statistics.
Definition of Terms
The following terms are defined for clarity and common frame of reference.
Learning Motivation refers to the process where the learners’ attention becomes focuses
on meeting their scholastic objectives and their energies are directed towards realizing their
academic potential.
Prelim Examination refers to preliminary examination of the students in the subject
statistics.
Statistics refers to the study of the collection, organization, analysis, and interpretation of
data. It deals with all aspects of this, including the planning of data collection in terms of the
design of surveys and experiments.
Social Work Students refers to the participants of the study who are students taking up
statistics in Social Work in the first semester of school year 2012-2013 situated in the Holy Cross
of Davao College.
Chapter II
REVIEW OF RELATED LITERATURE AND STUDIES
In this chapter, the researchers review some related literatures and studies which have
bearing on the present study.
Motivation
Motivation refers to “ Student Willingness, need, desire and compulsion to participative
in, and be successful in the learning process “ Bomia et al., 1997) Middleton and Spanias
( 1999) viewed motivation as reasons individuals have for behaving in a given situation . A
more comprehensive definition was provided by ages (1992) who stated that motivation exist as
part of one’s Goals in structures, one’s belief about what is important and it determines wither
or not one will engage in a given pursuit, skinner and belmontr (1991) explained that students
who are motivated to engage in school “ Select tasks at the border of their exert intense effort
and concentration in the implementation of learning tasks; they show generally positive
emotions during on going action, including enthusiasm, optimism, curiosity , and interest.
According to Middleton and Spanias (1999), research indicates that success in
mathematics, as indicated by Dickinson and Butt (1989), students European journal of social
science – Volume 7, Number 4 (2009) will find a task more enjoy able when they have
moderately high probability of success as compared to one with a lower chance of success.
Motivation contributes to the ability to solve problems. Base on several problem solving
models, D’ Neil and Shalter (1997) developed the CRESST model of problem solving that in
coordinates four elements; content understanding, problem solving strategies, meta cognition
and motivation in their model , motivation comprises of three components; self efficacy, effort
and worry. Effort is synonyms to motivation an individual who shows greater effort is
considered to be motivated; whist one who is motivated will also show greater effort.
Learning
Students’ performance or learning in school is determined by their grades or scores in
their particular subject. This informs the students how they perform inside the classroom and to
their participating job trainings. It also evaluates the students whether they execute well or not.
Algebra students performing well establish a good performance in their future mathematics
related subjects.
Extending the learning time for students where schools can use flexible and creative
scheduling during school hours or extra time outside of the regular school day are some ways to
intensify student learning (Denton, 2001). Students’ learning capacity may depend on how
skilled teachers could intensify their learning by providing authentic instruction and meaningful
assignments while holding high expectations for all students.
Such assignments deal with the significant concepts of a discipline, incorporate higher-
order thinking skills, are connected to the "real world," and allow substantial time for discussion
and idea sharing among students. Making assignments easier is no solution to poor performance.
Simpler lessons offer no assurance that students will achieve better test scores. Intensified
learning, on the other hand, affords better results. Recent research and practice indicate that
alternative strategies, which strike at the root causes of poor performance, offer genuine hope for
helping all students succeed.(Rudolph & Johnson, 2001)
Related Studies
In the study “Motivation, Autonomy Support, and Mathematics: A Structural Equation
Analysis” by Um, Corter and Tatsuoka (2005) in Columbia University found out that there is a
unique and substantial proportion of math achievement arises from the student’s math self-
concept. They explained that there is a significant difference in math performance even if they
controlled the effect of intrinsic motivation on mathematics performance. Further, they found
that math performance is determined by motivation, but even more by Mathematics self-concept.
The researchers concluded that intrinsically motivated students were more likely to perform well.
This study is related to the present study because the researchers were analyzing about
the factor of motivation in the performance of students in Mathematics. It also established a
conclusion which deals with the achievements of students because of motivation. The only
difference of this study to the present study is that they have also determined the effect of
Mathematics self-concept which presented a higher effect percentage than the motivation.
A collaborative study of Middleton and Spanias (1999) from Arizona State University
entitled “Motivation for Achievement in Mathematics: Findings, Generalizations, and Criticisms
of the Research” concluded that findings across theoretical orientations indicate that students’
perceptions of success in mathematics are highly influential in forming their motivational
attitudes. They also concluded that motivation can greatly affect the performance of students in
mathematics.
The previous study is related to the present study because the researchers were trying to
determine the general effect of the perception of success in Mathematics which is form of
motivation to the students’ performance and their research found out that it is highly influential.
Their study also exposed the relation of the students’ performance in Mathematics and their
motivation on the subject. Their study implies that a greater motivation, results to a higher
performance in Mathematics. However, this study was conducted on the grade school students of
United States and used Mathematics as their second variable.
From a study conducted by Lepper, Greene and Nisbett (1973) entiltled ”Undermining
children's intrinsic interest with extrinsic reward: A test of the "overjustification" hypothesis.”,
the researchers asked two groups of children to do some drawings. One group was promised a
'good player medal' for their work and the other was promised nothing. On a return visit, the
groups were given paper and crayons and what they did was observed. The group who had been
given the medal for drawing previously spent significantly less this time drawing as compared
with the no-reward group.
This research work is related to our study since it employs the effectiveness of the
application of motivation on a certain task which resulted to a lesser time of finishing the work.
However, the study was conducted on a 3-5 year old nursery school children and the motivation
in their only affects the speed of the participants wherein the present study focused on the
Freshmen Civil Engineering Day Program students of the University of Southeastern Philippines.
Theoretical and Conceptual Framework
Discussed herein are the theories which this study was anchored on, including the
conceptual framework that summarizes the flow and presents the variables of the study.
Theory Base
Determining the motivation level of Civil Engineering students and establish its
relationship with the learning on the subject is the center of this study. This study was anchored
on the Self-Determination Theory by Ryan and Deci (2000) which has Five Key Principles. Only
the two principles were used in the Self-Determination Theory which are the Organismic
Integration Theory (OIT) and the Cognitive Evaluation Theory.
Self-Determination Theory
Self- Determination Theory represents a broad framework for the study of human
motivation and personality. SDT articulates a meta-theory for framing motivational studies, a
formal theory that defines intrinsic and varied extrinsic sources of motivation, and a description
of the respective roles of intrinsic and types of extrinsic motivation in cognitive and social
development and in individual differences.
Organismic Integration Theory (OIT) addresses the extrinsic motivation which states
that people drive to do things for tangible rewards or pressures. There are three primary types of
extrinsic motivation. First is the external motivation caused by environmental reward or the
punishment contingencies. Second is the interjected motivation which is sustained by the desire
to avoid internally the imposed guilt and recrimination and last, is the identified motivation that
is observed to express important self-identifications.
Cognitive Evaluation Theory (CET) concerns how social contexts and interpersonal
interaction either facilitate or undermine intrinsic motivation. Intrinsic motivation is defined as
doing something for its own sake, and applies to activities such as play, sport, and leisure.
Intrinsic motivation happens when people perform or engage on activities for no reward other
than the interest and enjoyment that accompanies them.
This motivation theory is a significant part of our study in determining the relationship of
the learning motivation of the students towards statistics and their prelim exam score on the
subject since this establish the relationship of the reason of effort of people in a certain situation
and this would give the researchers ideas and later this study could support and prove these
existing theories.
Conceptual Framework
Independent Variable Dependent Variable
Figure 1. A Paradigm showing the Dependent and Independent Variable
Chapter III
METHODS
Preliminary Examination
Scores in Statistics
This chapter describes the research design, research locale, participants, procedure,
instruments and statistical treatment that were utilized in the study.
Research Design
The study used a descriptive type of research. This method intends to find the level of
motivation of HCDC Social Work students in statistics through the use of an adapted survey
questionnaire. The study also wanted to determine the preliminary examination scores of the
students and determine if there is a correlation between their learning motivation and their scores
on the subject. In this study, 36 Social Work students learning motivation were determined by
the use of selection which would take the adapted questionnaire of learning motivation. The
preliminary examination score would serve as students’ performance will also be gathered
through the students’ professor in statistics.
Research Locale
This study was conducted at the Holy Cross of Davao College.
Research Participants
The respondents of the study were 36-Social Work students of the aforementioned school
in the first semester of school year 2012-2013.
Procedures
This part of the chapter includes the procedures of the study. This describes how the
study was conducted.
Seek Permission to Conduct the Study
Prepare the Instruments Needed by the Study
Fig. 2 Flow Chart of the Research Procedures
1. Asking Permission to Conduct the Study
a. The researchers asked permission through a letter to Mrs. Grace Castigon, MSW the
Department Head of Social Work Program to conduct the study.
b. The researchers asked permission to Dr. Dexter Coraje to adapt the motivation
questionnaire.
2. Preparing the Questionnaire
The researchers adapted a 30-item survey questionnaire which determined the learning
motivation level of Social Work students in statistics.
3. Conducting the Study The
survey questionnaire was administered to the respondents and asked them to answer the
questionnaire as honest as they can by the researchers. The respondents answered the survey
questionnaire in their classrooms during their vacant period.
4. Gathering, Analyzing and Interpreting the Data
Present the Survey Questionnaire to the Respondents
Gather the Results of the Survey Questionnaire
Analyze and Interpret the Data
After the respondents answered the survey questionnaire, the questionnaires together with
their answers were gathered by the researchers. The data was analyzed and interpreted using the
statistical treatment appropriate for the study.
Research Instruments
The researchers used an adapted standardized 30-item questionnaire from Coraje (2009)
which will measure the level of motivation in algebra. Likert scale method was used to scale the
answers of the questionnaire. The answers were scaled through the following: A (Always) – 5, U
(Usually) – 4, M (Moderately) – 3, R (Rarely) – 2, N (Never) –1 and the results of each student’s
response to each question were quantified and had its respective averages. Preliminary
examination score was also obtained through the students’ professor.
Table 1. Ordered Interval of Scale of the Level of Motivation in Algebra(Gardner, Tremblay & Masgoret, 1997)
Numerical Value Descriptive Equivalent Interpretation4-5 Very high Very high enthusiasm, effort and
positive attitude towards learning algebra.
3-3.9 High High enthusiasm, effort and positive attitude towards learning algebra.
2-2.9 Average Average enthusiasm, effort and positive attitude towards learning algebra.
1-1.9 Low Poor enthusiasm, effort and positive attitude towards learning algebra.
0-0.9 Very Low Very poor enthusiasm, effort and positive attitude towards learning algebra.
Table 2. Ordered Interval and Interpretation of Scores in Statistics(University of Wellington, New Zealand, 2012)
Grade Percentage Range InterpretationA+ 85% - 100% Excellent performance in all aspectsA 80% - 84% Excellent performance in almost all aspectsA- 75% - 79% Very good, some aspects excellent but others notB+ 70% - 74% Very good, some aspects excellent but others notB 65% - 69% Good performance overallB- 60% - 64% Good performance overall
C+ 55% - 59% Work satisfactory overall, strengths outweigh weaknesses
C 50% - 54% Work satisfactory overall, strengths outweigh weaknesses
D 40% - 49% Poor performance overall, weaknesses outweigh strengths
E 0 - 39% Well below the standard required
Table 3. Possible Values of r and the Corresponding Strength of Correlation( Lund Research, 2013 )
Value of ρ Strength of relationship-1.0 to -0.5 or 1.0 to 0.5 Strong-0.5 to -0.3 or 0.3 to 0.5 Moderate-0.3 to -0.1 or 0.1 to 0.3 Weak
-0.1 to 0.1 None or very weak
Chapter IV
RESULTS AND DISCUSSION
This chapter presents the analysis and the results of the study. Statistical tables and
figures obtained from the analysis were included for basis of interpretation.
Correlation Analysis
Pearson-product Moment Correlation was used to determine the relationship between the
motivation of the students towards statistics and their learning on the subject. The students’
scores on their preliminary examination on statistics posed a weak relationship with their
motivation on the subject statistics. Also, we determined the motivation level of boys and girls
by getting its average and it showed that girls are more motivated on the subject statistics
compared to boys ( G=3.040 B=3.025). In terms of age, person who belongs to the age bracket of
45-47 is more motivated compared to the person who belongs to the age bracket 18-20, 21-23
and 24-26 (18-20: 3.01952 21-23: 3.170833 24-26: 2.33 45-47: 3.2)
Table 4. Learning Motivation Level in terms of GenderMale Female3.025 3.040
Learning motivation was also obtained through the statistical treatment of the research
and results showed that female has a higher learning motivation of 3.040 compared to male of
3.025 which means female has higher probability of getting higher scores in statistics.
Table 5. Learning Motivation on the Different Age Bracket of Social Work StudentsAge Frequency Average
18-20 21 3.0195221-23 12 3.17083324-26 2 2.3327-29 0 030-32 0 033-35 0 036-38 0 039-41 0 042-44 0 045-47 1 3.2
The Social Work statistics students ages 18-20, 21-23 and 45-47 posted a high motivation
of 3.01952, 3.170833 and 3.2. On the other hand, HCDC Social Work students ages 24-26 have
2.33 which mean having an average motivation towards statistics.
Table 6. Learning Motivation Survey Questionnaire Mean ScoreQuestion Mean
1. I enjoy learning the statistics. 2.6666672. The statistics I learn relates to my personal goals. 2.8888893. I like to do better than the other students on the statistics tests. 2.8333334. I am nervous about how I will do on the statistics tests. 3.1111115. If I am having trouble learning the statistics subject, I try to figure out why. 2.9722226. I become anxious when it is time to take a statistics test. 37. Earning a good statistics grade is important to me. 3.6944448. I put enough effort into learning the statistics. 3.1111119. I use strategies ensuring that I will learn the statistics well. 3.02777810. I think about how learning the statistics subject can help me get a good job 3.16666711. I think about how the statistics I learn will be helpful to me. 3.22222212. I expect to do as well as or better than other students in the statistics. 3.33333313. I worry about failing the statistics test. 3.52777814. I am concerned that the other students are better than me in statistics. 3.166667
15. I think about how my statistics grade will affect my overall grade average. 3.02777816. the statistics I learn is more important to me than any grade I receive. 317. I think about how learning the statistics can help my career. 3.05555618. I hate taking the statistics test. 2.88888919. I think about how I will use the statistics I learn. 2.94444420. It is my fault if I do not understand the statistics. 2.88888921. I am confident I will do well on the statistics projects. 2.80555622. I find learning the statistics interesting. 2.88888923. The statistics I learn is relevant to my life. 3.16666724. I believe I can master the knowledge and skills in the statistics course. 3.11111125. The statistics I learn has practical value for me. 2.94444426. I prepare well for the statistics tests. 2.7527. I like statistics that challenges me. 2.91666728. I am confident I will do well on the statistics tests. 2.94444429. I believe I can earn a grade of “95” in the statistics subject. 2.97222230. Understanding the statistics gives me a sense of accomplishment. 3.083333
Total 3.037037
Motivation data was obtained through getting the average response of 36 respondents on
a 30-item standardized questionnaire about the students’ learning motivation towards statistics.
The researchers utilized their statistical treatment and result showed that the students have a
3.037037 motivation level. Motivation was interpreted using Table 1 and it showed that students
have high enthusiasm effort and positive attitude towards learning algebra.
Motivation as defined by Bomia et al., (1997) that refers to student's willingness, need,
desire and compulsion to participate in, and be successful in the learning process. It gives the
students the drive to do something. This is the reason why the researchers wanted to determine
the motivation of the students. Based on the definition of motivation given by Gardner, et. al.
(1997), the students have high enthusiasm, effort and positive attitude towards learning algebra.
This means that the Social Work statistics students are more likely to have a high
performance, desire and willingness in learning algebra.
Table 7. Preliminary Examination Mean Score of Social Work Statistics Students
Preliminary Examination Mean ScoreSocial Work Statistics Students 22.72
The Social Work statistics students’ performance was gathered from their professor.
Their preliminary examination scores were used to determine their performance in statistics. The
researchers obtained their performance by getting the average grades of all the participants and
result showed that the students have an average score of 22.72 from a 50-item test. Based on the
grading system of the professor the resulting grade percentage of the exam is 72.72. The grade
percentage was interpreted and it showed that students is very good in some aspects but in others
not.
The students’ performance were interpreted using the table posted by the University of
Wellington, New Zealand (2012) and it is found out that the respondents have an excellent
performance in all respects in their subject, particularly in Algebra.
Social Work statistics students are very good in statistics but in other parts not which
means that they are competitive and determined in the subject.
Table 8. Correlation between Students’ Learning Motivation and Learning on Statistics (N=36)
Prelim ScoreMotivation PearsonN
0.3136
Pearson-product Moment r Correlation was used to determine the strength of relationship
between the learning motivation and the preliminary examination score of Social Work statistics
students. As defined by Graf (2012), Pearson-product moment r correlation is the standard
statistical measurement to represent the degree of correlation between two variables. Using the
said statistical treatment, results showed that the students’ motivation level and academic
performance in algebra have a 0.404 correlation which has a moderate strength of relationship.
Motivation level can really affect the performance of students in statistics because in the
study conducted by Middleton and Spanias (1999), they concluded that motivation can greatly
affect the students’ Mathematical performance. Furthermore, as the motivation level gets higher,
there is a moderate chance of having a greater performance because in the study conducted by
Um et. al.(2005), they found out that motivation determines the Mathematical performance of a
student but it is more determined by Mathematics self-concept. Moreover, students’ performance
and motivation in statistics posted a moderate correlation because based in the study conducted
by Lepper et. al. (1973), they have assigned two groups of students to do a certain task and
promised one group a reward. The group which was promised to have a reward finished first yet
the quality and quantity of the work is similar to the other group. Only the speed of students was
tested but the accuracy and creativeness which are major parts of the computation of
performance in algebra, were not examined. A tangible reward for students such as grades is a
form of extrinsic motivation and based on the study conducted by Um et. al.(2005), they have
concluded that intrinsically motivated students are more likely to perform well.
Social Work statistics students’ learning motivation and preliminary examination score in
Statistics has a moderate correlation which means to say that if the students have a high
motivation, there is a moderate chance of attaining a higher performance.
Chapter V
SUMMARY, CONCLUSIONS AND RECOMMENDATIONS
This chapter presents the summary of the study as well as the conclusion drawn from the
results and findings of the study. Recommendations for further study are also included.
Summary
The purpose of the study is to examine if there is a relationship between students’
motivation to the subject statistics and their learning on the subject. The researchers give the test
questionnaires about motivation on statistics to the students taking up the subject and results
showed that they are moderately motivated and showed that there is a moderate correlation
between the motivation level of students on statistics and their preliminary scores on the subject.
Conclusions
Motivation and academic performance in Algebra have a relationship with each other.
Academic performance is not solely dependent in the motivation of the students because there
are so many factors to be considered in attaining a good performance in school.
The following are the conclusions of the study:
1. The Holy Cross of Davao College Social Work students ages 18-20, 21-23 and 45-47 has a
high motivation which is good because based on the results of the study that when a student is
motivated to learn he could probably do a certain task well. On the other hand, HCDC Social
Work students ages 24-26 have an average motivation towards statistics. Moreover, both male
and female respondents have high motivation towards the subject but female respondents have a
higher motivation value compared to the male.
2. The respondents have a high motivation towards statistics which means high enthusiasm,
effort and positive attitude towards learning statistics.
3. The students’ motivation level and academic performance in statistics has a moderate
relationship to each other which means that when motivation gets higher, there is also a chance
of having a greater examination score. This proves the researchers assumption of the study that
motivation is related with learning. As motivation increases, the academic performance of
students in statistics also increases. Therefore, motivation level and examination scores were
significantly correlated.
Recommendations
For the improvement and the over-all effect of this study to the society, here are the
researchers’ recommendations:
1. Teachers should now be aware that whatever techniques they would give to the
students in learning they must first consider to motivate the students to learn the subject because
this will give the students the desire, willingness and effort in the subject.
2. To the students, they must learn to motivate themselves to learn because if a student
itself will not work and give effort, it would be hard for others to motivate them also.
3. The researchers recommend that further studies must be conducted on other factors
affecting the academic performance of students. Also, the researchers suggest the future
researchers to conduct the study in other subjects so that greater institutions will be affected and
influenced by the relationship.
REFERENCES
Ames, C. (1992). Classrooms: Goals, structures, and student motivation. Journal of Educational Psychology, 84, 261–271.
Bomia, L., Beluzo, L., Demeester, D., Elander, K., Johnson, M. & Sheldon, B. (1997). The impact of teaching strategies on intrinsic motivation. Champaign, IL: ERIC Clearinghouse on Elementary and Early Childhood Education.
Denton, P. (2001a). 'Generating and e-mailing feedback to students using MS Office'. [Online]. In: Proceedings of the 5th International Computer Assisted Assessment Conference, Loughborough, 2-3 July. Learning and Teaching Development, Loughborough University. Last accessed 05/03/09 at: http://www.caaconference.co.uk/pastConferences/2001/proceedings/j3.pdf
Dickinson, D. J., & Butt, J. A. (1989). The effects of success and failure on the on-task behavior of high-achieving students. Education and Treatment of Children, 12, 243–252.
Dweck, C. S. (1986). Motivational processes affecting learning. American Psychologist, 41, 1040-1048.
Johnson, D., & Rudolph, A. (2001). Critical Issue: Beyond Social Promotion and Retention - Five Strategies to Help Students Succeed. North Central Regional Educational Laboratory. Retrieved from http://www.ncrel.org/sdrs/areas/issues/students/atrisk/at800.
Lepper, M. R., Greene, D., and Nisbett, R. E. (1973). Undermining children's intrinsic interest with extrinsic rewards: A test of the “overjustification” hypothesis. Journal of Personality and Social Psychology, 28, 129–137.
Masgoret, A.-M. & Gardner, R. C. (2003). Attitudes, motivation, and second language learning: A meta-analysis of studies conducted by Gardner and associates. Language Learning, 53, 123-163.
MacGregor, M, (2004). Goals and content of an algebra curriculum for the compulsory years of schooling. In K. Stacey., H. Chick, & M. Kendal (Eds.), The Future of Teaching and Learning of Algebra. The 12th ICMI Study. Boston: Kluwer.
Middleton, J. A., & Spanias, P. A. (1999). Motivation for achievement in mathematics: Findings, generalizations, and criticisms of the research. Arizona State University.
McClelland, D. C. (1965). Toward a theory of motivation acquisition. American Psychologist, 20, 321–333.
O’Neil, H. F., & Schacter, J. (1997). Test specifications for problem-solving assessment. Los Angeles: University of California.
Ryan, R. M., & Deci, E. L. (2000a). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25, 54–67.
Ryan, R. M., & Deci, E. L. (2000b). Self-determination theory and facilitation of intrinsic motivation, social development and well-being. American Psychologist, 55(1), 68–78.
Skinner, E., & Belmont, M. (1991). A longitudinal study of motivation in school: Reciprocal effects of teacher behavior and student engagement. Unpublished manuscript, University of Rochester, Rochester, NY.
Um E. K., Corter J., & Tatsuoka K. (2005, March 18 ). Motivation, autonomy support, and mathematics performance: A structural equation analysis. Lexington, Massachusetts: Columbia University.
Warren, E., & Cooper, T. (2003). Arithmetic pathways towards algebraic thinking. Australian Primary Mathematics Classroom, 8(4), 10-16.
Witzel, B. S., Mercer, C. D., & Miller, M. D. (2003). Teaching algebra to students with learning difficulties: An investigation of an explicit instruction model. Learning Disabilities Research & Practice, 18(2), 121–131.
APPENDICES
Appendix ALetter of Permission to Conduct the Study
Republic of the PhilippinesHoly Cross of Davao College
Social Work DepartmentSta. Ana Avenue, Davao City
Mrs. Grace Castigon, MSWSocial Work Department Head HCDC
Madaam:
We, the undersigned, are fourth year BSSW students of this institution. In line with our requirement and as partial fulfillment for Research II, we would like to conduct a study entitled “LEARNING MOTIVATION OF HOLY CROSS SOCIAL WORK STUDENTS AND ITS RELATIONSHIP WITH THEIR PRELIM EXAMINATION IN STATISTICS FOR THE FIRST SEMESTER S.Y. 2012-2013.
In connection to this, we would like to ask from your good office to allow us to conduct a study in a section of First Year Civil Engineering. This study will need your permission for us to be able to give test questionnaires and obtain the motivation level and their academic performance in Algebra.
We hope that you will considerably give us the opportunity to pursue this study. Thank you very much.
Respectfully yours,
Doreen N. Amigo
Ellen Jade P. Diaz
Jhay-ar L. Palo
Noted by:
Prof. Irish Mae FernandezThesis Adviser
Appendix B
Letter of Permission to Conduct the StudyRepublic of the Philippines
University of Southeastern PhilippinesCollege of Engineering
Obrero, Davao City
Mr. Dexter CorajeMathematics TeacherDavao City National High School
Sir:
We, the undersigned, are first year BSCE students of this university. In line with our requirement and as partial fulfillment for English II, we wish to conduct a study entitled “Level of Motivation and the Academic Performance of Freshmen Civil Engineering Students in Algebra”.
In connection to this, we would like to ask from your good office to allow us to use your formulated survey questionnaire which determines the Motivation Level of students in Algebra. This study will need your permission for us to be able to give test questionnaires and obtain the motivation level and relate it to their academic performance in Algebra.
We hope that you will considerably give us the opportunity to pursue this study. Thank you very much.
Respectfully yours,
Doreen N. Amigo
Ellen Jade P. Diaz
Jhay-ar L. Palo
Noted by:
Prof. Irish Mae FernandezThesis Adviser
ABSTRACT
________________________________________________________________________THE MOTIVATION OF HOLY CROSS OF DAVAO COLLEGE SOCIAL WORK STUDENTS TOWARDS STATISTICS AND ITS RELATIONSHIP WITH THE LEARNING ON THE SUBJECT FOR THE FIRST SEMESTER FOR SCHOOL YEAR 2012 – 2013Alinsub, Mayjane Niña G.Dumandan, John Michael T.Nocom, Raniel T.Pacatang, Maria Leila R.________________________________________________________________________
When students are motivated they tend to get better marks at school, work more effectively on difficult schoolwork, make the most of their abilities, behave well and enjoy school. This study was conducted to determine the motivation of Holy Cross of Davao College social work students towards statistics and its relationship with the learning on the subject for the first semester for school year 2012 – 2013.
The researchers used the Pearson-Moment Correlation to determine the relationship of motivation to the preliminary scores of the students on the subject statistics. Results show that the social work students are moderately motivated on the subject statistics and there is a low correlation between the motivation of social work students and the preliminary scores on the subject statistics.