Results 51 to 60 of about 11,612 (263)

Visual imagery imitation skills and cognitive functions in patients with Schizophrenia

open access: yesHong Kong Journal of Occupational Therapy, 2022
Background/Objectives Visual demonstration by occupational therapists is very common in psychiatric treatment, however, some patients with schizophrenia could not imitate the actions despite the absence of any physical impairments. Therefore, the purpose
Makoto Tanaka   +4 more
doaj   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

open access: yesFEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell   +8 more
wiley   +1 more source

Development of a causal model of self-regulated learning by students at Loei Rajabhat University

open access: yesFrontiers in Education
IntroductionSelf-regulated learning is an active process in which learners employ self-directed behaviors, thoughts, and actions to attain learning objectives.
Anuphum Kumyoung   +4 more
doaj   +1 more source

What’s Special about Human Imitation? A Comparison with Enculturated Apes

open access: yesBehavioral Sciences, 2016
What, if anything, is special about human imitation? An evaluation of enculturated apes’ imitation skills, a “best case scenario” of non-human apes’ imitation performance, reveals important similarities and differences between this special population of ...
Francys Subiaul
doaj   +1 more source

Policy Contrastive Imitation Learning

open access: yesCoRR, 2023
Adversarial imitation learning (AIL) is a popular method that has recently achieved much success. However, the performance of AIL is still unsatisfactory on the more challenging tasks. We find that one of the major reasons is due to the low quality of AIL discriminator representation.
Jialei Huang   +3 more
openaire   +3 more sources

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Embodied imitation-enhanced reinforcement learning in multi-agent systems [PDF]

open access: yes, 2013
Imitation is an example of social learning in which an individual observes and copies another's actions. This paper presents a new method for using imitation as a way of enhancing the learning speed of individual agents that employ a well-known ...
Bull, Larry   +6 more
core   +1 more source

A Bidirectional Imitation-Learning Framework for Real Time Trajectory Planning in Automatic Berthing [PDF]

open access: yesTransNav
This paper presents a bidirectional imitation-learning framework for AIS-based real-time trajectory planning in automatic berthing. The framework connects a ship’s current state with a prescribed terminal berthing condition by using two imitation ...
Takefumi Higaki, Hirotada Hashimoto
doaj   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende   +26 more
wiley   +1 more source

Imitation Learning through Image Augmentation Using Enhanced Swin Transformer Model in Remote Sensing

open access: yesRemote Sensing, 2023
In unmanned systems, remote sensing is an approach that collects and analyzes data such as visual images, infrared thermal images, and LiDAR sensor data from a distance using a system that operates without human intervention.
Yoojin Park, Yunsick Sung
doaj   +1 more source

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