...- David and Price state that “students today adopted an increasingly consumerist goal for their education” (61)” in a sense that they “perceive themselves primarily as costumers, purchasing a product: a degree” (61) - This raises the question of why students have a consumerist view on education and whether students value the learning process of obtaining a college degree - The study indicates that most students“seek the path of least resistance to obtaining a academic degree.” - This suggest that students may not value the learning process or the end product of knowledge to be of any importance and instead, they are only interested in obtaining a degree though the easiest method by selecting professors based on their easiness rating. - Personally, i find this surprising - what is the purpose of higher education if it presented no challenges? - more importantly, what is the significance of an academic degree if student's take the easier route? - An academic degree is of special value that indicates a student's innate ability - If all students obtain a degree by choosing the easiest path, this will devaluate the significance of an academic degree - And thus, an academic degree will have no meaning - Perhaps student's may need reassess their value on education and realize the importance of the learning process Although obtaining a degree is the primary goal of many students, the learning process is also of equal importance Brinkworth first year experience ...
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...International Journal for Cross-Disciplinary Subjects in Education (IJCDSE), Special Issue Volume 3 Issue 2, 2013 An Analysis of Adult Education Programme in Lagos State: Implication for Policy Implementation Saula Ayinla Shamsideen Adeniran Ogunsanya College of Education Otto-Ijanikin, Lagos, Nigeria Abstract The research work investigated the analysis of Adult Education Programme in Lagos State: Implication for Policy Implementation. Three null hypotheses were formulated for the study and the instrument that was used for the study was questionnaire. A descriptive survey design was adopted for the study. The sample included 100 respondents randomly selected from adult learners and instructors. Data was analyzed using frequency table, percentage and Chi-square. Based on the results of this study, conclusion was made that constant monitoring and supervision would add value to implementation and Governments are encouraged to pay special attention to Adult Education programme as a channel for lifelong Education. 1. Introduction The National Policy on Education provides for Adult and non-formal education as an instrument par excellence for lifelong education [3]. The goals of adult and non-formal education to include providing functional literacy and continuing education for adults and the youths, provide education for different categories of completers of the formal education system to improve their basic knowledge and skills, provide in-service, on-the-job, vocational and professional...
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...without the distraction. FINDINGS INTRODUCTION The purpose of this research study is to explore the impact of social networking websites on students. A research questionnaire was designed to determine the factors of social networking websites that have impact on students. Variables identified are * Age * Gender * Education * Social influence * Academic performance. 50 respondents that were only students were randomly selected. OBJECTIVE * To analyze the impact of students’ age, gender, education and social influence. * To determine how social networking websites affects students’ academic performance. * To evaluate why mostly people use social networking websites. FACTORS * age * gender * education * Social networks. Academic performance depends upon use of social networking websites Dependent variable: * academic performance Independent variables: * use of social networking website Use of social networking websites depends upon the above four factors Dependent variable: * use of social networking website Independent variables: * age * gender * education * Social influence Age * Less than 15 * 15 to 20 * 20 to 35 * 35 to 45 * 45 above Use of Social Networking * Entertainment *...
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...Summary The present study determines the awareness, access and utilization of the health services of the Barangay Health Center with 67 Aeta mothers of a certain Sitio of Indigenous people as respondents on December, 2010. A four-part content-validated interview schedule was used to elicit data. The interview schedule was validated by two professors who are master’s degree holders and one with Doctorate degree. The interview schedule was personally administered by the researchers to the respondents. Descriptive statistics used are frequency distribution and percentage, whereas inferential statistics used to test significant differences are t-test and one-way analysis of variance. Pearson’s r was used to test correlation between the three major variables. The main objective of the study is to determine the awareness, access and utilization of the health services of the Brgy. Health Center among aeta mothers of Sitio Nagpana, Brgy. Lipata, Btac. Viejo, Iloilo. The specific objectives are: 1. To determine the characteristics of Aeta mothers in terms of age, civil status, educational attainment, religion, family size, occupation, and total household income per month. 2. To determine the level of awareness of the Aeta mothers to the health services provided by the Barangay Health Center. 3. To determine the degree of access of the Aeta mothers to the health services provided by the Barangay Health Center. 4. To determine the extent of utilization of the Aeta mothers...
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...“How much do parents know about first aid for burns” presents results of a two-month study conducted at University Hospital of Wales in Cardiff. The premise of the study was to verify if a relationship existed between the general knowledge of initial first-aid treatment for burns and age, gender, education, ethnicity and socioeconomic status. The Statistical Procedures Mentioned in the Study Pearson’s chi-squared test was used to determine if there was any correlation between genders, education level, age and first-aid knowledge. The use of logistic regression was employed so that all variables could be compared. There was found to be insufficient data collected to evaluate any relationship based on ethnicity. The Conclusions Reached in the Study It was concluded that people of lower socioeconomic status were less likely to have knowledge of initial first-aid treatment for burns. They were also less likely to have had any first-aid training. Persons of a higher socioeconomic status were more likely to have received first-aid education, which 40% of those stated they had received their first-aid training through their workplace. The study did not show any statistical significance for gender or age in the basic knowledge of first-aid for burns, but did show that prior first-aid training reflected better knowledge of initial care for burns. Despite the limitation of a small sample group that was obtained from a single hospital setting, there appears to be a lack of knowledge...
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...1.1. The null hypothesis H0 is μ1=μ2=μ3 where μ1, μ2 and μ3 represent the average income for every level of education. 1.2. The alternative hypothesis H1 is μ1 ≠ μ2 or μ2 ≠ μ3 or μ1 ≠ μ3 (at least one μ is different from another μ). 1.3. In order to test the above pair of hypotheses, I will use ANOVA analysis that provides the F statistic significance test: H0: FF critical H0 is rejected The following table contains the results of the ANOVA analysis: Anova: Single Factor SUMMARY Groups Count Sum Average Variance PRIMARY 115,00 3944657,40 34301,37 464689314,43 SECONDARY 137,00 5892738,36 43012,69 565872506,75 HIGHER 74,00 3556259,40 48057,56 719686158,84 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 9398747285,40 2,00 4699373642,70 8,32 0,00 3,02 Within Groups 182470332358,11 323,00 564923629,59 Total 191869079643,51 325,00 The F statistic equals to 8,32 and is compared to F crit = 3.02. I conclude that F>F critical meaning that H0 is rejected and the expected values in the three education groups are significantly different at the 5% significance level. 1.4. In order to reach my final conclusions and following the result of the above F test that the population means of the three education subgroups, I have to examine which group differs among the three ones, which subgroups have significantly different means...
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...Abstract The paper investigates the use of computer aided instruction (CAI) in teaching and learning mathematics. It also explores the use of Instructional Materials Aided Methods (IMAM) as a close substitute. From the study, it was clear that computer-aided instruction enhanced the students performance in mathematics The design of the study was experimental. The hypothesis were tested using T-ratio at 0.05 level of significance and a reliability index of 0.85 was calculated from the test items; while the data were analyzed using mean and standard deviation. Introduction One of the problems of teaching and learning is the method of imparting knowledge to learners. According to stone (1991), the major difficulty in sciences is the method by which the subjects were customarily taught without regard to instructional materials. The pedagogical approach in imparting knowledge to learners has become inadequate to their needs. Mathematics, like other science subjects, recorded poor students performance both in national and international examination (Ali, 1983). Many factors contributed to the performance of students in mathematics examination Akale, (1996), Okebukola and Jegede (1996), Ottiah (1997) and Ali (1998). The factors include: a. Inability of the mathematics teachers to put across the mathematics concepts to the students. b. Lack of skills and competence required for teaching mathematics. c. Shortage of qualified mathematics teachers. d. Lack of teaching materials...
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...the absolute values of these three coefficients β1, β2 and β3. Estimated equation is: Log (wage) = 0.128 + 0.0904educ + 0.041exper – 0.000714exper2 (0.106) (0.0075) (0.0052) (0.000116) n = 526, R2 = 0.30 ii) Yes, the coefficient is significant because t-statistics absolute value 6,16 is greater than t (critical value) at 1 % significance level which is 2,586 in this case. iii) Return to the fifth year of experience: 100 * [0.041-2*(0.000714)*4] = 3,53% Return to the 20th year of experience: 100 * [0.041-2*(0.000714)*19] = 1,39% iv) x* = 0.0410089/(2*(-0.0007136)) = -28.7338 28.7338 There are 121 people in the sample with at least 29 years of experience. Problem 2: a) SSE + SSR = SST SST – SSE = SSR SSR = 7160,41429–10.6243285= 7149,79 b) n =524 c) R2 = SSE/SST = 10.62/7160.41 = 0,001484 d) t = (-0,4682478/0,5306473) = -0,88241 e) t = coefficient/ std. error coefficient / t = (5,944174/34,96) = 0,170028 f) F = t^2 = (-0,88241)^2 = 0,778645 Problem 3: Model 1: a) Coefficient on variable cigs indicates that one cigarette smoked per day reduces birth weight by 0,44 %. Therefore, the effect on birth weight from smoking 10 more cigarettes will be that it reduces birth weight by 4,4 %. b) In model 1, a white child is predicted to weight 5,5 % more than a non-white child on average, holding other factors fixed. Since t-stat (for zero null hypothesis) value is 4,20, which...
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...TO KNOW ATTITUDE OF CUSTOMER TOWARDS PACKAGED DRINKING WATER A dissertation submitted to UKA TARSADIA UNIVERSITY in Partial Fulfilment of the Requirements for the Degree of Master of Business Administration in Winter Project By Krushna D. Patel (201204100710010) Guided by Dr. Jitesh Parmar Teaching Assistant Shrimad Rajchandra Institute of Management & Computer Application Uka Tarsadia University, Bardoli, Surat. April-2014 TABLE OF CONTENTS Chapter No. | Particulars | Page Nos. | - | Certificate | | - | Declaration | | - | Acknowledgements | | - | Executive Summary | | - | List of Tables | | - | List of Charts | | 1 | Introduction | | 2 | Literature Review | | 3 | Objectives and Research Methodology | | 4 | Data Interpretation and Analysis | | 5 | Findings | | 6 | Conclusion | | 7 | Recommendations | | 8 | References | | - | ANNEXURES | | LIST OF TABLES Table No. | Title of Table | Page No. | Table 1 | Aware about Packaged drinking water | 16 | Table 2 | I think packaged drinking water protect my health | | Table 3 | I am aware about the type of water that is there in packaged | | Table 4 | I think packaged drinking water taste is better than any other source of water | | Table5 | I am aware about reuses of packaged drinking water | | Table6 | Please indicate below your behavior for following statements:- Group Statistics | | Table7 | Please indicate...
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...DMINISTRATION, FACULTY OF EDUCATION, UNIVERSITY OF LAGOS, AKOKA - YABA Abstract This study investigated the relationship between educational resources and students’ academic performance in Lagos State public secondary schools. A descriptive research design was adopted. Five schools were randomly selected from Somolu Local Government Area of Lagos State. A research instrument was developed to collect factual and perceptual information from the principals and teachers of the schools selected. The data collected were analyzed with the use of chi-square statistics. The study found that there were not enough educational resources in the selected schools. Physical, materials, financial and human resources were found to be significantly related to students’ academic performance. Some suggestions and recommendations were made on how to improve academic performance through adequate provision of educational resources. Other category of material resources consist of paper supplies and writing materials such as biro, eraser, exercise books, crayon, chalk, drawing books, notebooks, pencil, ruler, slate, workbooks and so on. Physical resources include classrooms, lecture theatres, auditoriums, typing pools, administrative block, libraries, laboratories, workshops, gymnasia, assembly halls, special rooms like sickbay, staff quarters, students’ hostels, kitchen, cafeteria, lavatory and toilet. Financial resources are the monetary inputs available for and expended on the education system. These include...
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...Evaluation of Statistical Data from Oxford Cereals Thwarting Claims of Consumers Concerned About Cereal Cheaters (CCACC) In the previous correspondence to your office dated April 27, 2014, analysis of data was presented to you showing that Consumers Concerned About Cereal Cheaters (CCACC) misrepresented the Oxford Cereals packaged weights for two (2) of their cereals, Oxford O’s and Alpine Granola Frosted Flakes. I have received further statistical data from Oxford Cereals in support of its claims that CCACC has indeed misrepresented their company related to the packaged weights. This additional statistical data was analyzed and these findings will be outlined for your further review. The following statistical data was conclusive in determining that the claim of Oxford Cereals cheating their customers was not true. There is no definitive proof that the claims of boxed weights being short of 368 grams are true. New information Ted Grable, CEO of Oxford Cereals visited Oxford Cereal Plant Number 1 with several members of the public, several off-duty firefighters and police officers, and a television reporter, Sharon Danyl. A random day was chosen by Ms. Danyl and the firefighters and police officers randomly collected 40 boxes from each of the cereal’s production lines, collecting a total of 80 boxes of cereal. The 80 boxes of cereal were then boxed and transported to an independent laboratory by agents from Parcel Express Delivery Systems. The boxes were weighed and...
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...Chapter 1: Introduction to Statistics 1 Chapter 1: Introduction to Statistics Section 1-2 1. Statistical significance is indicated when methods of statistics are used to reach a conclusion that some treatment or finding is effective, but common sense might suggest that the treatment or finding does not make enough of a difference to justify its use or to be practical. Yes, it is possible for a study to have statistical significance but not a practical significance. If the source of the data can benefit from the results of the study, it is possible that an element of bias is introduced so that the results are favorable to the source. A voluntary response sample is a sample in which the subjects themselves decide whether to be included in the study. A voluntary response sample is generally not suitable for a statistical study because the sample may have a bias resulting from participation by those with a special interest in the topic being studied. Even if we conduct a study and find that there is a correlation, or association, between two variables, we cannot conclude that one of the variables is the cause of the other. There does appear to be a potential to create a bias. There does not appear to be a potential to create a bias. There does not appear to be a potential to create a bias. There does appear a potential to create a bias. The sample is a voluntary response sample and is therefore flawed. 2. 3. 4. 5. 6. 7. 8. 9. 10. The sample is a voluntary response sample...
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...be rejected or accepted in our model. This study will draw upon the raw data that has been collected by surveying 50 university students from the University of Western Sydney. We have provided students with a questionnaire for numerical and measurable data related to the variables. Our data is validated and reiterated by previous literature, and we have created our own questionnaire which collects academic data where GPA is influenced highly by the selected variables. Our research is presented using a cross section data with many subjects without regard to difference in times. The data is uploaded on an excel spread sheet and ran through a STATA program to allow us to see the significance and correlating levels. The findings of this research is deemed to be a great source of knowledge for education institutions, students and the government to be able to further understand what major factors affect a student’s results. These results could possibly aid students if the educational institutions decide to implement structures to further assist the success such as more after class help, etc. Contents page Introduction 4 Review of Previous Literature 7 Specification of model 12 Data description 14 Empirical results 17 Conclusion and recommendation 23 Appendices 25 Introduction Higher...
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...THE PROFICIENCY LEVEL OF HIGH SCHOOL STUDENTS TAUGHT BY MAJOR AND NON-MAJOR TEACHERS ________________________________________ A Thesis Presented To the Faculty of the School of Graduate Studies University of Nueva Caceres City of Naga ________________________________________ In Partial Fulfillment Of the Requirements for the Degree of Master of Arts in Teaching Mathematics _________________________________________ JUMAR R. VELASCO July 2011 APPROVAL SHEET This Thesis entitled “THE PROFICIENCY LEVEL OF HIGH SCHOOL STUDENTS TAUGHT BY MAJOR AND NON-MAJOR TEACHERS” prepared and submitted by JUMAR R. VELASCO, in partial fulfillment of the requirements for the degree of MASTER OF ARTS IN TEACHING MATHEMATICS, has been examined and is recommended for acceptance and approval for Oral Examination. MELINDA SB. GIMAL, Ph.D. Adviser THESIS COMMITTEE ANITA C. AUTOR, M.A.T. Chairman SALVADOR C. ARCILLA, JR. M.A.T. CLARA M. RANCES, M.A.T. Member Member ------------------------------------------------- PANEL OF EXAMINEES Approved by the Committee on Oral Examination on August 23, 2011 with a grade of 94%. ANITA C. AUTOR, M.A.T. Chairman SALVADOR C. ARCILLA, JR. M.A.T.CLARA M. RANCES, M.A.T. Member Member Accepted and approved in partial fulfillment of the requirements for the degree of Master of Arts in Teaching Mathematics. Comprehensive...
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...COMPARATIVE STUDY OF THE ACADEMIC ACHIEVEMENT OF STUDENTS FROM MONOGAMOUS AND POLYGAMOUS FAMILIES IN OFFA, KWARA STATE. BY IGWESI, B. N. (MRS), Department of Educational Foundations, University of Ilorin, Ilorin, Nigeria. Abstract This study compared the academic achievement of students from monogamous and polygamous families. It was a causal comparative study under the survey research approach. The sample consisted of 100 SSI students from monogamous families and 100 SSI students from polygamous families. Simple random sampling method was used In selecting four secondary schools in Offa, Kwara State. Stratified simple random sampling method was also used In seiecting the students. A proforma was used for collecting data on the academic achievement of the students. Analysis of the data, using t-test statistics showed that a significant difference exists between the academic achievement of students from monogamous homes and those from polygamous homes. One of the Implications bf this finding to teaching and learning is that a consideration of students' family background is Important because it will help teachers to find out the types of home the students come from. They will also be aware of the nature of social interactions in such homes and the psychological, social and emotional problems the students are facing at home. This knowledge will help teachers to counsel the students on how to overcome such problems and have positive attitude towards the situation so, that their academics...
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