An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System
By Ana Iglesias, Paloma Martínez, Fernando Fernández. Informatics Educ., 2003
766 citations recorded by the source corpus.
The definition of effective pedagogical strate gies for coaching and tutoring students ac- cording to their needs is one of the most important issues in Adaptive and Intelligent Educational Systems (AIES). The use of a Reinforcement Learning (RL) model allows the system to learn au- tomatically how to teach to each student individually, only based on the acquired experience with other learners with similar characteristics, like a human tutor does. The application of this artifi- cial intelligence technique, RL, avoids to define the teaching strategies by learning action policies that define what, when and how to teach. In this paper we study the performance of the RL model in a DataBase Design (DBD) AIES, where this performance is measured on number of students required to acquire efficient teaching strategies.
View Paper: https://www.semanticscholar.org/paper/95dae7b268a19aa97fd6abab0e7f7a4280ed9c03
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- Sanmit Narvekar
- Peter Stone
- Matthew E. Taylor
- Bei Peng
- Jivko Sinapov
- Matteo Leonetti
- Shimon Whiteson
- Ana Iglesias
Citations in the corpus
- Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey (2020, methodology): “Curriculum learning has also been widely used for building effective Intelligent Tutoring Systems (ITS) for human education (Iglesias et al., 2003, 2009; Green et al., 2011; Brunskill and Russell, 2011; Doroudi et al., 2016).”
- Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning (2009, methodology): “Firstly, in this experiment sequence, we extend the experimentation carried out in [30] varying some of the learning parameters of the system.”
- Video Games in Health Care: Closing the Gap (2010, background): “Similarly, doctors make mistakes to such an extent that medical errors can be counted among the leading causes of death in the United States (Institute of Medicine, 2001; Kohn, Corrigan, & Donaldson, 1999).”
- Adverse drug event trigger tool: a practical methodology for measuring medication related harm (2003, background): “The primary objectives were ( 1 ) to assess the feasibility of training individuals to use the trigger tool methodology efficiently, (2) to clarify the training requirements, and (3) to describe the extent and scope of the ADEs identified in different inpatient organizations.”