Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data
In today's evolving educational arena, Adaptive learning experiences to individual needs has become a focal point. The Experience API (xAPI) provides a comprehensive mechanism to document all types of learning interactions, storing this stream of data into the Learning Record Store (LRS). This...
محفوظ في:
| المؤلف الرئيسي: | ODEH, HANEEN (author) |
|---|---|
| منشور في: |
2024
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://bspace.buid.ac.ae/handle/1234/2668 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Corrosion Behavior of API X100 Steel Material in a Hydrogen Sulfide Environment
حسب: Paul Okonkwo (831577)
منشور في: (2017) -
Erosion Behaviour of API X100 Pipeline Steel at Various Impact Angles and Particle Speeds
حسب: Paul Okonkwo (831577)
منشور في: (2016) -
Electrochemical and thermodynamic study on the corrosion performance of API X120 steel in 3.5% NaCl solution
حسب: Khuram Shahzad (575887)
منشور في: (2020) -
Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence
حسب: Al Rayhi, Nasser
منشور في: (2020) -
PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images
حسب: Kashif Munir (6182237)
منشور في: (2025)