Best Practices in improving student success rate in college - developmental/remedial math - Dissertation Example

A pilot mathematics course has been framed which is student centered. Supplementary methods like mastery learning, computer aided learning, mentoring practice and innovative math lab have been adopted along with this pilot course. After necessary permission from the college administration, curriculum committee and the board of directors, important mathematics topics have been included in the intervention program and the course was conducted. Also other supportive activities like guest lectures, resource material collection, fortnight meeting of staff and students and ethical counseling had been planned as part of this intervention program.

The assessment was based on mastery learning and the feedback of the students was based on quantitative survey. Statistical analysis of the data has been used to find out recommendations to improve the students success rate in developmental mathematics. Based on the research data analysis, it has been recommended that computer based teaching and mastery assessment needs to be continued. The factors that need to be improved are the mentor’s involvement in the academic activities of the student and the fortnight meeting should be made more effective by following certain strategies in implementing the required changes that would increase the students success rate. . Table of Contents Chapter 1: Introduction Statement of the Research Problem Background of the Problem Aim and objectives of the Research Research Questions Expected outcomes of the research Organization of dissertation Chapter 2: Literature Review Review of Related Literature Factors influencing developmental courses The position of developmental mathematics Existing practices in remedial education Chapter 3: Methodology The Proposed research plan Quantitative Survey Research Sample space Sampling method Instrument for Data collection Chapter 4: Analysis of Data Presentation of the data Statistical analysis of data The TALLY statistics of the quantitative data Pearson’s Correlation statistics of the quantitative data Chapter 5: Discussion and Recommendations Discussion of results Recommendations for best practices Chapter 6: Conclusion References Appendices A.

Questionnaire for the students List of Tables Table.1. The Likert scale List of Figures Figure. 1. The presentation of primary data in EXCEL sheet. Figure. 2. The descriptive statistics of the quantitative data. Figure .3. The scatter plot of the mean values in EXCEL. Figure 4. Tally Statistics of question 1. Figure 5 . Tally Statistics of question 2. Figure 6. Tally Statistics of question 3. Figure 6. Tally Statistics of question 3. Figure 8. Tally Statistics of question 5. Figure 9. Tally Statistics of question 6.

Figure 10. Tally Statistics of question 7. Figure 11. Tally Statistics of question 8. Figure 12. Tally Statistics of question 9. Figure 13. Tally Statistics of question 10. Figure 14. Tally Statistics of question 11. Figure15. Tally Statistics of question 12. Figure 16. Tally Statistics of question 13. Figure 17. Tally Statistics of question 14. Figure 18.