Prediction of English Vocabulary Learning Difficulty and Adjustment of Teaching Strategies Based on Decision Tree Algorithm
e
21 mar 2025
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 21 mar 2025
Ricevuto: 07 nov 2024
Accettato: 15 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0614
Parole chiave
© 2025 Liqiang Song et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1.

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Figure 4.

Classification prediction model generalization ability evaluation index
| Categories | Precision | Recall | F1 | Sample size |
|---|---|---|---|---|
| Simplicity | 1 | 0.81 | 0.92 | 9 |
| Medium | 0.97 | 1 | 0.97 | 60 |
| Difficulty | 1 | 0.99 | 0.98 | 6 |
| Macroid | 0.98 | 0.95 | 0.99 | 70 |
| Weighted mean | 0.98 | 0.98 | 0.97 | 70 |
Test the test of the study attitude scale before and after the test
| Pair difference | t | df | Sig.2 | |||||
|---|---|---|---|---|---|---|---|---|
| Pre-exp. | Mean | SD | SEM | 95%CI Upper limit | 95%CI Lower limit | |||
| After-exp. | -6.1694 | 7.1562 | 0.9845 | -8.1456 | -4.1977 | -6.279 | 49 | 0.000 |
Model set error evaluation index
| Tries | 1 | 2 | 3 | 4 | 5 | 6 | 7+ |
|---|---|---|---|---|---|---|---|
| MAE | 0.19 | 0.87 | 1.83 | 1.14 | 1.15 | 1.42 | 0.63 |
| R2 | 0.85 | 0.92 | 0.94 | 0.92 | 0.92 | 0.92 | 0.91 |
Descriptive statistics before and after dimensions
| Mean | N | SD | SEM | ||
|---|---|---|---|---|---|
| Lexical acquisition | Pre-exp. | 29.548 | 50 | 4.6258 | 0.6358 |
| After-exp. | 31.056 | 50 | 5.4698 | 0.7589 | |
| Memorize words | Pre-exp. | 20.456 | 50 | 4.0658 | 0.5546 |
| After-exp. | 21.598 | 50 | 4.2879 | 0.5839 | |
| Review the main ways of words | Pre-exp. | 11.395 | 50 | 2.7892 | 0.3476 |
| After-exp. | 13.245 | 50 | 3.2689 | 0.4215 | |
| Review the frequency of words | Pre-exp. | 8.657 | 50 | 1.4539 | 0.2103 |
| After-exp. | 10.698 | 50 | 1.4258 | 0.1987 |
Test the matching sample t before and after the dimensions
| Pair difference | t | df | Sig.2 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | SD | SEM | 95%CI Upper limit | 95%CI Lower limit | |||||
| Lexical acquisition | (Pre-exp.)-(After-exp.) | -1.6985 | 5.0598 | 0.6985 | -3.2655 | -0.3036 | -2.436 | 49 | 0.019 |
| Memorize words | (Pre-exp.)-(After-exp.) | -1.3356 | 4.0987 | 0.5698 | -2.4561 | -0.2152 | -2.368 | 49 | 0.023 |
| Review the main ways of words | (Pre-exp.)-(After-exp.) | -1.3025 | 3.1456 | 0.4316 | -2.1625 | -0.4358 | -3.025 | 49 | 0.006 |
| Review the frequency of words | (Pre-exp.)-(After-exp.) | -1.6548 | 1.9784 | 0.2874 | -2.2358 | -1.1167 | -6.136 | 49 | 0.000 |
Word memory retrieval difficulty clustering results
| Cluster | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| Quantities | 233 | 17 | 4 | 6 | 6 | 4 |
| 1 try | 0.31 | 1.28 | 0.28 | 0.02 | 0.21 | 0.41 |
| 2 tries | 5.02 | 14.51 | 1.96 | 1.35 | 4.02 | 10 |
| 3 tries | 22.73 | 33.28 | 10.27 | 9 | 25.27 | 37.04 |
| 4 tries | 34.82 | 30.22 | 24.26 | 26.01 | 40.97 | 35.01 |
| 5 tries | 24.52 | 15.25 | 31.81 | 36.41 | 22.54 | 13.21 |
| 6 tries | 10.65 | 5.19 | 25.25 | 23.01 | 6.19 | 3.2 |
| 7 or more | 1.74 | 0.84 | 6.5 | 3.83 | 0.79 | 0.01 |
The study attitude scale was descriptive statistics
| Mean | N | SD | SEM | ||
|---|---|---|---|---|---|
| Learning attitude | Pre-exp. | 71.352 | 50 | 9.451 | 1.289 |
| After-exp. | 78.045 | 50 | 11.568 | 1.536 |
The model reduces the evaluation of some input
| Delete | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|
| - | 0.99 | 0.98 | 0.99 | 0.97 |
| 1 | 0.96 | 0.95 | 0.93 | 0.93 |
| 2 | 0.95 | 0.99 | 0.97 | 0.95 |
| 3 | 0.99 | 0.99 | 0.99 | 0.99 |
| 4 | 0.94 | 0.96 | 0.96 | 0.95 |
| 5 | 0.99 | 0.99 | 0.99 | 0.99 |
| 6 | 0.98 | 0.98 | 0.99 | 0.95 |
| 7 | 0.98 | 0.99 | 0.99 | 0.99 |
