Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies
For many forms of e-learning environments, the system's behavior can be viewed as a
sequential decision process wherein, at each discrete step, the system is responsible for …
sequential decision process wherein, at each discrete step, the system is responsible for …
Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems
In an adaptive and intelligent educational system (AIES), the process of learning
pedagogical policies according the students needs fits as a Reinforcement Learning (RL) …
pedagogical policies according the students needs fits as a Reinforcement Learning (RL) …
[HTML][HTML] A scoping review of reinforcement learning in education
B Memarian, T Doleck - Computers and Education Open, 2024 - Elsevier
Abstract The use of Artificial Intelligence (AI) and Machine Learning algorithms is surging in
education. One of these methods, called Reinforcement Learning (RL) may be considered …
education. One of these methods, called Reinforcement Learning (RL) may be considered …
An evaluation of pedagogical tutorial tactics for a natural language tutoring system: A reinforcement learning approach
Pedagogical strategies are policies for a tutor to decide the next action when there are
multiple actions available. When the content is controlled to be the same across …
multiple actions available. When the content is controlled to be the same across …
Learning teaching strategies in an adaptive and intelligent educational system through reinforcement learning
One of the most important issues in Adaptive and Intelligent Educational Systems (AIES) is
to define effective pedagogical policies for tutoring students according to their needs. This …
to define effective pedagogical policies for tutoring students according to their needs. This …
Reinforcement learning: the sooner the better, or the later the better?
Reinforcement Learning (RL) is one of the best machine learning approaches for decision
making in interactive environments. RL focuses on inducing effective decision making …
making in interactive environments. RL focuses on inducing effective decision making …
Towards a personalized learning experience using reinforcement learning
D Shawky, A Badawi - Machine learning paradigms: Theory and …, 2019 - Springer
Cognitive computing has become one of the most promising fields, especially in education,
where building adaptive learning systems that provide different learning paths and material …
where building adaptive learning systems that provide different learning paths and material …
Reinforcement Learning in Education: A Literature Review
The utilization of reinforcement learning (RL) within the field of education holds the potential
to bring about a significant shift in the way students approach and engage with learning and …
to bring about a significant shift in the way students approach and engage with learning and …
Reinforcement learning tutor better supported lower performers in a math task
Resource limitations make it challenging to provide all students with one of the most
effective educational interventions: personalized instruction. Reinforcement learning could …
effective educational interventions: personalized instruction. Reinforcement learning could …
AgentX: Using reinforcement learning to improve the effectiveness of intelligent tutoring systems
KN Martin, I Arroyo - International Conference on Intelligent Tutoring …, 2004 - Springer
Reinforcement Learning (RL) can be used to train an agent to comply with the needs of a
student using an intelligent tutoring system. In this paper, we introduce a method of …
student using an intelligent tutoring system. In this paper, we introduce a method of …