Research on the Path to Improving the Teaching Effectiveness of News Communication in Colleges and Universities under the Background of Artificial Intelligence
27 feb 2025
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 27 feb 2025
Ricevuto: 09 ott 2024
Accettato: 31 gen 2025
DOI: https://doi.org/10.2478/amns-2025-0118
Parole chiave
© 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% |