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Comparison of Error Correction Procedures in Teaching Community Signs to Children with Autism Spectrum Disorder in Discrete Trial Training
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Dilara Ecem Altun; Serife Yucesoy-Ozkan – Education and Training in Autism and Developmental Disabilities, 2024
In the study, we compared the effectiveness and efficiency of two error correction (EC) procedures --a model of the correct response (MoCR) and remove and re-present (RRp)--when using discrete trial training (DTT) in teaching to identify the community signs to children with autism spectrum disorder. We also examined the maintenance and…
Descriptors: Error Correction, Autism Spectrum Disorders, Signs, Responses
Enhancing Medical Training Through Learning From Mistakes by Interacting With an Ill-Trained Reinforcement Learning Agent
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Yasar C. Kakdas; Sinan Kockara; Tansel Halic; Doga Demirel – IEEE Transactions on Learning Technologies, 2024
This article presents a 3-D medical simulation that employs reinforcement learning (RL) and interactive RL (IRL) to teach and assess the procedure of donning and doffing personal protective equipment (PPE). The simulation is motivated by the need for effective, safe, and remote training techniques in medicine, particularly in light of the COVID-19…
Descriptors: Medical Education, Error Patterns, Error Correction, Reinforcement