PAKES: A Reinforcement Learning-Based Personalized Adaptability Knowledge Extraction Strategy for Adaptive Learning Systems
Advancements in adaptive educational technologies, specifically the adaptive learning system, have made it possible to automatically optimize the sequencing of the pedagogical instructions according to the needs of individual learners. The crux of such systems lies in the instructional sequencing po...
Guardado en:
Autores principales: | Muhammad Zubair Islam, Rashid Ali, Amir Haider, Md Zahidul Islam, Hyung Seok Kim |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2f454cf8b29a45a0a4cc17a90e10a218 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Adaptive Magnetic Hamiltonian Monte Carlo
por: Wilson Tsakane Mongwe, et al.
Publicado: (2021) -
Psychological Capital, College Adaptation, and Internet Addiction: An Analysis Based on Moderated Mediation Model
por: Xiangyang Bi, et al.
Publicado: (2021) -
QoE-Oriented Rate Adaptation for DASH With Enhanced Deep Q-Learning
por: Jie Liu, et al.
Publicado: (2019) -
Mathematical Model of Hydraulic System Designed with Using of Combined Principle of Adaptation to Load
por: K.Ya. Nekrashevich
Publicado: (2014) -
Parameter optimization and uncertainty assessment for rainfall frequency modeling using an adaptive Metropolis–Hastings algorithm
por: Xingpo Liu, et al.
Publicado: (2021)