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 for education: Opportunities and challenges
This survey article has grown out of the RL4ED workshop organized by the authors at the
Educational Data Mining (EDM) 2021 conference. We organized this workshop as part of a …
Educational Data Mining (EDM) 2021 conference. We organized this workshop as part of a …
Level generation through large language models
Large Language Models (LLMs) are powerful tools, capable of leveraging their training on
natural language to write stories, generate code, and answer questions. But can they …
natural language to write stories, generate code, and answer questions. But can they …
Procedural puzzle generation: A survey
B De Kegel, M Haahr - IEEE Transactions on Games, 2019 - ieeexplore.ieee.org
Procedural content generation (PCG) for games has existed since the 1980s and is
becoming increasingly important for creating game worlds, backstory, and characters across …
becoming increasingly important for creating game worlds, backstory, and characters across …
Neural Task Synthesis for Visual Programming
Generative neural models hold great promise in enhancing programming education by
synthesizing new content. We seek to design neural models that can automatically generate …
synthesizing new content. We seek to design neural models that can automatically generate …
Zero-Shot Learning of Hint Policy via Reinforcement Learning and Program Synthesis.
Intelligent tutoring systems for programming education can support students by providing
personalized feedback when a student is stuck in a coding task. We study the problem of …
personalized feedback when a student is stuck in a coding task. We study the problem of …
Graph grammar-based controllable generation of puzzles for a learning game about parallel programming
In the context of a learning game to teach parallel programming, we describe a procedural
content generation (PCG) approach that can be controlled to generate programming puzzles …
content generation (PCG) approach that can be controlled to generate programming puzzles …
Synthesizing tasks for block-based programming
Block-based visual programming environments play a critical role in introducing computing
concepts to K-12 students. One of the key pedagogical challenges in these environments is …
concepts to K-12 students. One of the key pedagogical challenges in these environments is …
Maze generation based on difficulty using genetic algorithm with gene pool
EK Susanto, R Fachruddin, MI Diputra… - … on Application for …, 2020 - ieeexplore.ieee.org
Game level design is one of the most important element of developing an enjoyable video
game. Besides, game with difficult and dynamic level can make players more exciting. This …
game. Besides, game with difficult and dynamic level can make players more exciting. This …
Monte-Carlo tree search for artificial general intelligence in games
CF Sironi - 2019 - cris.maastrichtuniversity.nl
Abstract Research in Artificial Intelligence has shown that machines can be programmed to
perform as well as, or even better than humans in specific tasks, such as playing Chess …
perform as well as, or even better than humans in specific tasks, such as playing Chess …