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buriro-ezekia/Inclusive-Activity-Based-Learning-ABL-Assessment-in-Mathematics

Domain:

education

Record type:

project
Creator:
bur
Host:
This project focuses on assessing the impact and inclusivity of Activity-Based Learning (ABL) methods in supporting Mathematics education within selected public secondary schools in Dar es Salaam, Tanzania. # Inclusive Activity-Based Learning (ABL) Assessment in Mathematics ## Project Overview This project focuses on assessing the impact and inclusivity of Activity-Based Learning (ABL) methods in supporting Mathematics education within selected public secondary schools in Dar es Salaam, Tanzania. The analysis relies on survey data collected from teachers regarding their knowledge and challenges, combined with student pre-test and post-test scores, to determine the overall effectiveness and equitable benefit of the ABL intervention. ## Specific Objectives and Analysis Performed The analysis was structured around three specific research objectives: | Objective | Analysis Performed | Key Variables | | 1. Explore Teacher Knowledge | Pearson Correlation | Knowledge_Score vs. Performance_Gain | | 2. Identify Teacher Challenges | Mean Score Ranking & Pearson Correlation | Challenge_Score vs. Performance_Gain | | 3. Assess Performance Enhancement & Inclusivity | ANCOVA (Type II) & Visual Analysis | Post_Test_Score controlled by Pre_Test_Score and grouped by Gender or Training Status. | ## Methodology Summary **Data Integration:** Four primary CSV files (Demographics, Knowledge, Challenges, and Student Impact) were loaded. **Feature Engineering:** Teacher-level Likert scores were calculated to create composite variables (Knowledge_Score and Challenge_Score). **Teacher ID Imputation:** Due to missing explicit student-teacher linking, students (N=79) were sequentially assigned to the available teachers (N=27) in a cyclical fashion. **Data Filtering:** Student records linked to the missing Teacher ID 1 were excluded from analyses requiring teacher variables (reducing sample size to N=76 for these specific tests). **Statistical Modeling:** ANCOVA was used to assess factor effects while controlling for the strong influence of the baseline (Pre_Test_Score). ## Key Findings (Based on Analysis) | Finding | Statistical Result | Implication | | Performance Enhancement | Strong v …

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