Quantitative Comparison of Learning Environment Effect

Quantitative Comparison of Learning Environment EffectCHAPTER 4 DATA ANALYSIS AND description4.1 INTRODUCTIONThis chapter presents the data analysis and interpretation also purpose of this written report was to compargon the instruction of developmental maths cast which received instruction in both different environments to determine whether mathematic online transmission line enhanced their learning. Specifically, the study examined whether there was a portentous deflexion in mathematics online course as metrical by the exam of students enrolled in mathematic classes receiving handed-down instruction, with online instruction. The Statistical Package for the Social Sciences (SPSS) was used for the analysis with an alpha = .05 level of significance.4.2 T-Test diametric Two Samples for baseborns diametric data tryouts engage taking exam score without online course and with online course students participate the mathematic course from the same large number (n=60) of obj ect and operating a hypothesis test on the differences betwixt the without online course and with online course samples.TABLE 1 students result4.3 SPSS Annotated OutputThe paired samples t-test is hypothesis test of the difference two groups means based on the means of two paired samples. Under this test, the two samples are compared in such a way, that the elements in one sample are matched or paired with the elements or paired with the other sample, thereby helping in doing a precise analysis in finding out whether any significant difference exists in the two series.In our analysis, under paired samples t-test, the two samples areExam score with online courseExam score without online courseThus, the paired sample t-test has been used to compare the means of the abovementioned two unsettleds. As such, it helps in finding out if there is a statistically significant difference between the Exam score with online course at which trading took watched video on Moodle tool and the Exam score without online course.For the paired samples t-test, we state the null hypothesis that there is no significant mean difference between the two series and hence the two series do not statistically differ the alternate hypothesis is the two series differ from apiece other significantly. So, the hypothesis can be stated as fol basesH0 m =0H1 m 0Where, mean is difference between the two series. The alternative is two-tailed at a signification level of 5% (=0.05).That this study used SPSS to conduct the paired samples t-test. The SPSS output is shown in this table which views that difference Exam score with online course and Exam score without online course is significant or not.In the Paired Samples Statistics Box, the mean for the WithoutOnlineCourse is 16. The mean for the WithOnlineCourse is 21.3667. The standard deviation for the WithoutOnlineCourse is 6.44874 and for the WithOnlineCourse, also 8.15997 . The number of participants in distributively condition (N) is 30.Paired Samples Test BoxThis is the adjacent box as will views. It contains info about the paired samples t-test that the conducted. There will be most interested in the value that is in the last(a) column of this table. Take a look at the Sig. (2-tailed) value.Correlation This is the correlation coefficient of the pair of variables indicated. This is a measure of the strength and direction of the linear relationship between the two variables. The correlation coefficient can range from -1 to +1, with -1 indicating a perfect negative correlation, +1 indicating a perfect positive correlation, and 0 indicating no correlation at all. (A variable correlated with itself will always have a correlation coefficient of 1.) You can think of the correlation coefficient as telling you the extent to which you can count on the value of one variable given a value of the other variable. The .160 is the numerical description of how tightly around the imaginary line the points lie. If the correlation was higher, the points would function to be closer to the line if it was smaller, they would t end to be advance away from the line.Sig This is the p-value associated with the correlation. Here, correlation is significant at the .05 level.Std Error Mean Standard Error Mean is the estimated standard deviation of the sample mean. This value is estimated as the standard deviation of one sample divided by the square root of sample size 9.55739/sqrt(30) = . 1.74493. This provides a measure of the variability of the sample mean.Sig (2-Tailed) valueThis value will tell us if the two condition Means are statistically different. a great deal times, this value will be referred to as the p value. In this example, the Sig (2-Tailed) value is 0.005.If the Sig (2-Tailed) value is greater than 0.05It is means there is no statistically significant difference between two groups. it can cease that the differences between condition Means are likely due to peril and not likely due to the IV manipulat ion.If the Sig (2-Tailed) value is less than or equal to .05.You can conclude that there is a statistically significant difference between your two conditions. You can conclude that the differences between condition Means are not likely due to change and are probably due to the IV manipulation.What does the t-value and two-tailed P-value how do they compare to each other? Is this information significant enough to say that with online course came from the same family as without online course?A two-tailed P-value of 0.6, for example, would mean that there is a 0.6 (or 60%) chance that the two groups of score come from the same group. In other words, there is a 60% chance that the average score of the exam in each group is the same and would say that there is no significant difference between the ages of the two populations.The traditionally accepted P-value for something to be significant is P big t-values translate into smaller P-values. So the larger the t-value is the more likely the difference is significant. A critical t-value is the minimum t-value you need in order to have P 4.4 Testing HypothesisThe results as reported in Table indicated there was statistically significant difference for method of instruction, p-value=0.005. Therefore, Null Hypothesis was rejected. There was a statistically significant difference in exam scores of without online course group and online course group mathematic courses, when adjusting for the effect of exam scores. Therefore was statistically significant difference in exam.4.5 FinallyWith online course and without online course test scores of the group was compared. The average score in with online course was 21.3667, whereas the average score in the without online course was 16. This can be seen in figure 3. The P value two-tail test is used to control if the mean score of with online course and without online course tests are significantly different. Is the learning mathematic course with online course significantly bet ter or worse? The P value is greater than t value which establishes that scores in with online course test are significantly different and higher than the scores in without online course test. This supports the premise that with online course Choices is effective instruction strategy to play the importance of Hawler Institute of computer and concept of video technology.Therefor there was a statistically significant difference in exam scores, decidedly two methodsThe analysis of tests responses shows that the instruction methodology of imparting the concept of technical debt through with online course choices is effective. At the following figure 4.4 as shown rate of students participate with online course increased.Figure 7 online courseCHAPTER 5CONCLUSIONIn view of the writing and the discoveries of the current study, a few conclusions can be drawn concerning developmental mathematics online course. The results of this study indicate that video technology can using for development mathematic online course. The mere presence of video online course does improve student learning mathematic lecture. Students have an interest in utilizing technology for a variety of purposes including academics. Online video course have the potential to be useful tools to improve learning. They provide educators the luck to create and record courses then upload on Moodle tool. Also give opportunity to student for participate mathematic course without missing lecture.SUMMARYMany students get in college without the mathematics skills and knowledge to successfully meet their educational and career goals (National Center for Educational Statistics, 2003b). Most colleges and universities offer developmental mathematics courses and other services to uprise these students for college-level mathematics courses. Developmental mathematics courses have been taught with the traditional lecture method used for years in most college-level courses (Armington, 2003 Kinney and Kinney, 2003 Maxw ell, 1979 Miles, 2000 Roueche and Kirk, 1974). Educators are concerned about the low pass rates (Boylan, Bonham, and White, 1999 Trenholm, 2006 Waycaster, 2001 Wright, Wright, and Lamb, 2002) and are exploring alternative instructional approaches in order to increase the number of students who stay in school or institute, pass a class mathematic course, and graduate. Video mathematic online course make conceivable a variety of new showing methodologies, permitting students to have decisions about when, where, and how they learn math. The review of literature indicated a need for further studies on the impact of video record and uploaded on Moodle tool on the learning of developmental mathematics course. The purpose of this study was to investigate differences in the academic performance of students enrolled in a developmental mathematics course using traditional instruction with mathematic online course.Students mathematics course at the end of the course related to be exam at the I nstitute Hawler for Computer. Therefore, the exam, which measured mathematical performance with online course with without online course, was used as the Hypothesis in the analysis. T-Test Paired Two Sample for Means adjusted the means of the exam paired groups.Null Hypothesis case there was significance difference in the mathematics lecture for developmental mathematics course using traditional lecture and video record and uploaded on Moodle then students participate with watched video online. The independent variable was method of instruction, and the dependent variable was the exam score. At the .05 level of significance, there was significant difference between the exam scores of students who completed a traditional developmental math course and watched video online course on Moodle tool.DISCUSSIONLIMITATIONSRECOMMENDATIONS FOR FURTHER STUDYThe following recommendations for further investigation were based on the findings of this study. To further validate the findings of this r esearch, the study should be replicated with a larger sample and in other developmental subject courses.Also recommended add same technology for learning in the institute Hawler for computer.REFERENCESSurname KHUDHURName WSHYAR OMARPlace and Date of Birth TaqTaq, Erbil Kurdistan Iraq /1ST July 1983.Gender MALEAddress STATE IRAQ, ERBIL GOVERNORATE, KOYA CITYLanguage KURDISH, sideMarital Status MARRIAGEE-mail emailprotectedMobile Phone +90 548 873 7683, +964 772 159 7828B.Sc. Software Engineering, Koya University Erbil, Iraq