Research on the Path to Improving the Teaching Effectiveness of News Communication in Colleges and Universities under the Background of Artificial Intelligence
27 févr. 2025
À propos de cet article
Publié en ligne: 27 févr. 2025
Reçu: 09 oct. 2024
Accepté: 31 janv. 2025
DOI: https://doi.org/10.2478/amns-2025-0118
Mots clés
© 2025 Jing Song, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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The Impact of Artificial Intelligence Tools on The Teaching Effect of Journalism Communication Courses
| Frequency of use of AI tools | 1 hour per week | 3 hours per week | 5 hours per week | Effect Increase (%) |
|---|---|---|---|---|
| Student learning initiative | 65% | 76% | 85% | 30% |
| Mastery of curriculum knowledge | 72% | 81% | 90% | 25% |
| Course interactivity | 60% | 70% | 80% | 33% |
| Timeliness of after-school feedback | 58% | 75% | 85% | 47% |
Results of Autocorrelation Test and Over-identification Test of System Moment Estimation Method
| Teaching mode | Traditional teaching mode | Intelligent teaching mode | AR (1) | AR (2) |
|---|---|---|---|---|
| Student satisfaction | 72% | 88% | 0.020 | 0.267 |
| Improvement of learning efficiency | 65% | 82% | 0.032 | 0.152 |
| Teachers' participation in teaching | 60% | 78% | 0.017 | 0.187 |
| Publication of research results | 30% | 22% | 0.032 | 0.214 |
Analysis of Student Achievement Changes under Different Teaching Modes
| Teaching mode | Average grade | Achievement improvement |
|---|---|---|
| Theoretical knowledge mastery | 75 | 13.33% |
| Improvement of practical ability | 70 | 14.29% |
| Information acquisition efficiency | 68 | 14.71% |
| Demonstration of innovation ability | 72 | 13.89% |