Analyzing Pre vs Post Test Scores in Automobile Technology Course with AI Integration

Apr 6, 2024, 2:29 PM

Analyze the hypotheses there is no significant difference between the academic achievement scores in automobile technology course of students in COEs and Polys on the effect of AI

Analysis Summary

  • Pre vs Post Test Comparison:
    • For COEs, the t-statistic is -1.7504 with a p-value of 0.091, indicating no significant difference between pretest and posttest scores.
    • For Polys, the t-statistic is -3.7582 with a p-value of 0.0008, suggesting a significant difference between pretest and posttest scores.
  • Visual Representation:
    • A bar chart was created to visually compare the t-statistics and p-values for COEs and Polys. The chart illustrates the statistical outcomes, highlighting the significant difference for Polys but not for COEs.
  • Conclusion:
    • The analysis suggests that there is a significant difference in the academic achievement scores in the automobile technology course between pretest and posttest for Polys, likely due to the effect of AI. For COEs, the difference is not statistically significant.

Continue the analysis

To further the analysis, we'll compare the academic achievement scores between COEs and Polys directly, using both pretest and posttest scores. This involves conducting independent t-tests to see if there's a significant difference between the two groups for both the pretest and posttest scores. Let's proceed with this analysis.

Further Analysis Summary

  • COEs vs Polys Pretest and Posttest Comparison:
    • Pretest: The t-statistic is -0.3703 with a p-value of 0.7126, indicating no significant difference between COEs and Polys pretest scores.
    • Posttest: The t-statistic is -2.1145 with a p-value of 0.0389, suggesting a significant difference between COEs and Polys posttest scores.
  • Conclusion:
    • The analysis indicates that while there was no significant difference in pretest scores between COEs and Polys, a significant difference emerged in the posttest scores, likely due to the effect of AI on academic achievement in the automobile technology course. This suggests that the impact of AI was more pronounced in one group over the other in the posttest phase.

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