Strategies for Improving College English Reading Comprehension Based on Text Mining Technology
Mar 19, 2025
About this article
Published Online: Mar 19, 2025
Received: Oct 30, 2024
Accepted: Jan 31, 2025
DOI: https://doi.org/10.2478/amns-2025-0494
Keywords
© 2025 Weihui Hong, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Students’ English reading understands each dimension level
| - | Cognition | Behavior | Affections | Evaluation |
|---|---|---|---|---|
| Means | 3.842 | 3.173 | 3.726 | 3.598 |
| Std. | 0.418 | 0.415 | 0.421 | 0.422 |
| Variance | 0.206 | 0.203 | 0.239 | 0.341 |
| Skewness | 0.179 | 0.117 | 0.178 | -0.015 |
| Kurtosis | 0.283 | 0.209 | 0.215 | 0.174 |
Resource recommendation and learning effect
| - | Reading ability | Cognitive style | Learning goal | Volume size | |
|---|---|---|---|---|---|
| Right and wrong | Correlation coefficient | 0.151** | -0.093* | 0.184** | 0.027 |
| Sig (2-tailed) | 0.002 | 0.016 | 0.001 | 0.535 | |
| Self-evaluation difficulty | Correlation coefficient | -0.158** | -0.014 | -0.125** | -0.086* |
| Sig (2-tailed) | 0.003 | 0.715 | 0.002 | 0.023 | |
Test results of the matching sample of the pair
| Pair | - | M±SD | T | Sig. | Mean difference |
|---|---|---|---|---|---|
| Pair 1 | A-Pre-test | 36.53±4.29 | 6.847*** | 0.005 | 8.44 |
| A-Post-test | 44.97±2.64 | ||||
| Pair 2 | B-Pre-test | 36.04±4.72 | 0.158 | 0.172 | 1.51 |
| B-Post-test | 37.55±5.03 |
Comparison of reading comprehension results before and after
| Test | Class | Sex | M±SD | T | Sig |
|---|---|---|---|---|---|
| Pre-test | A | Male | 14.15±2.13 | 6.432*** | 0.001 |
| Female | 22.38±1.94 | ||||
| B | Male | 14.29±2.06 | 3.985*** | 0.000 | |
| Female | 21.95±1.97 | ||||
| Post-test | A | Male | 18.24±3.05 | 5.794*** | 0.005 |
| Female | 26.73±5.64 | ||||
| B | Male | 15.06±2.73 | 4.571*** | 0.003 | |
| Female | 22.49±2.51 |