A scoping review of reinforcement learning in education
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 more general and less rigid by changing its learning through interactions with the environment and specifically the inputs recei...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-06-01
|
| Series: | Computers and Education Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666557324000168 |
| _version_ | 1797221730012364800 |
|---|---|
| author | Bahar Memarian Tenzin Doleck |
| author_facet | Bahar Memarian Tenzin Doleck |
| author_sort | Bahar Memarian |
| collection | DOAJ |
| description | 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 more general and less rigid by changing its learning through interactions with the environment and specifically the inputs received as rewards and punishments. Given that education has shifted towards a constructivist approach and uses technology such as algorithms in its making (e.g., instructional design, delivery, assessment, and feedback), we are interested in taking stock of the effect RL may play in today's teaching and learning. We conduct a scoping review of the literature on RL in education. This work aims to open discussions on the pedagogical paradigm of RL and various types of bias introduced in teaching and learning. |
| first_indexed | 2024-04-24T13:10:04Z |
| format | Article |
| id | doaj.art-d247f6068b95482abd2780bc4f205d00 |
| institution | Directory Open Access Journal |
| issn | 2666-5573 |
| language | English |
| last_indexed | 2024-04-24T13:10:04Z |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computers and Education Open |
| spelling | doaj.art-d247f6068b95482abd2780bc4f205d002024-04-05T04:41:45ZengElsevierComputers and Education Open2666-55732024-06-016100175A scoping review of reinforcement learning in educationBahar Memarian0Tenzin Doleck1Corresponding author.; Faculty of Education, Simon Fraser University, Vancouver, British Columbia, CanadaFaculty of Education, Simon Fraser University, Vancouver, British Columbia, CanadaThe use of Artificial Intelligence (AI) and Machine Learning algorithms is surging in education. One of these methods, called Reinforcement Learning (RL) may be considered more general and less rigid by changing its learning through interactions with the environment and specifically the inputs received as rewards and punishments. Given that education has shifted towards a constructivist approach and uses technology such as algorithms in its making (e.g., instructional design, delivery, assessment, and feedback), we are interested in taking stock of the effect RL may play in today's teaching and learning. We conduct a scoping review of the literature on RL in education. This work aims to open discussions on the pedagogical paradigm of RL and various types of bias introduced in teaching and learning.http://www.sciencedirect.com/science/article/pii/S2666557324000168Reinforcement learningEducationArtificial intelligenceMachine learning |
| spellingShingle | Bahar Memarian Tenzin Doleck A scoping review of reinforcement learning in education Computers and Education Open Reinforcement learning Education Artificial intelligence Machine learning |
| title | A scoping review of reinforcement learning in education |
| title_full | A scoping review of reinforcement learning in education |
| title_fullStr | A scoping review of reinforcement learning in education |
| title_full_unstemmed | A scoping review of reinforcement learning in education |
| title_short | A scoping review of reinforcement learning in education |
| title_sort | scoping review of reinforcement learning in education |
| topic | Reinforcement learning Education Artificial intelligence Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S2666557324000168 |
| work_keys_str_mv | AT baharmemarian ascopingreviewofreinforcementlearningineducation AT tenzindoleck ascopingreviewofreinforcementlearningineducation AT baharmemarian scopingreviewofreinforcementlearningineducation AT tenzindoleck scopingreviewofreinforcementlearningineducation |