Uneingeschränkter Zugang

Intelligent Analytics for Educational Big Data and Its Application to Instructional Management

Nan Zhang

Nan Zhang

Shenyang UniversityShenyang, China
Suche nach diesem Autor auf
Sciendo|Google Scholar
Zhang, Nan
  
03. Feb. 2025
Intelligent Analytics for Educational Big Data and Its Application to Instructional Management's Cover Image
Über diesen Artikel
Vorheriger Artikel
Nächster Artikel
Zitieren
COVER HERUNTERLADEN
Online veröffentlicht: 03. Feb. 2025
Eingereicht: 29. Aug. 2024
Akzeptiert: 16. Dez. 2024
DOI: https://doi.org/10.2478/amns-2025-0002
Schlüsselwörter
© 2025 Nan Zhang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

DBSCAN clustering principle
DBSCAN clustering principle

Figure 2.

Student aca demic warning model
Student aca demic warning model

Figure 3.

Student achievement and borrowing number clustering
Student achievement and borrowing number clustering

Figure 4.

Student achievement and borrowing number clustering
Student achievement and borrowing number clustering

Figure 5.

Student borrowing number and consumer data clustering
Student borrowing number and consumer data clustering

Figure 6.

The distribution of the probability of management
The distribution of the probability of management

Figure 7.

Distribution of psychological and English scores
Distribution of psychological and English scores

Figure 8.

The distribution of the design of the Java programming
The distribution of the design of the Java programming

Figure 9.

The performance distribution of the soft Java programming
The performance distribution of the soft Java programming

Figure 10.

Characteristic correlation scatter point diagram
Characteristic correlation scatter point diagram

Figure 11.

Ranking of characteristic importance
Ranking of characteristic importance

Four algorithms test results

Algorithm Classification accuracy Prediction accuracy Recall rate F1 score
XGBoost 0.96341 0.89452 0.88973 0.92106
RF 0.9418 0.8703 0.85812 0.85033
LGB 0.93752 0.88594 0.83093 0.87901
GBDT 0.91602 0.87763 0.84945 0.85132
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere
Zeitschrift RSS Feed