AIMC Topic: Motivation
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Teaching design students machine learning to enhance motivation for learning computational thinking skills.
Acta psychologica
Dec 2, 2024
The integration of computational thinking (CT) to enhance creativity in design students has often been underexplored in design education. While design thinking has traditionally been the cornerstone of university design pedagogy and remains essential...
Digital therapeutics in hypertension: How to make sustainable lifestyle changes.
Journal of clinical hypertension (Greenwich, Conn.)
Sep 9, 2024
Various digital therapeutic products have been validated and approved since 2017. They have demonstrated efficacy and safety as a new therapeutic modality in various disorders or conditions. Hypertension is a common but serious condition that can be ...
Anticipating influential factors on suicide outcomes through machine learning techniques: Insights from a suicide registration program in western Iran.
Asian journal of psychiatry
Jul 28, 2024
Suicide is a global public health concern, with increasing rates observed in various regions, including Iran. This study focuses on the province of Hamadan, Iran, where suicide rates have been on the rise. The research aims to predict factors influen...
Student Motivation Analysis Based on Raising-Hand Videos.
Sensors (Basel, Switzerland)
Jul 17, 2024
In current smart classroom research, numerous studies focus on recognizing hand-raising, but few analyze the movements to interpret students' intentions. This limitation hinders teachers from utilizing this information to enhance the effectiveness of...
Engaging nurses in developing generative artificial intelligence-based technologies can enhance their work motivation, engagement and satisfaction.
Evidence-based nursing
Jun 20, 2024
An explanatory study of factors influencing engagement in AI education at the K-12 Level: an extension of the classic TAM model.
Scientific reports
Jun 17, 2024
Artificial intelligence (AI) holds immense promise for K-12 education, yet understanding the factors influencing students' engagement with AI courses remains a challenge. This study addresses this gap by extending the technology acceptance model (TAM...
Barriers and facilitators to technology acceptance of socially assistive robots in older adults - A qualitative study based on the capability, opportunity, and motivation behavior model (COM-B) and stakeholder perspectives.
Geriatric nursing (New York, N.Y.)
May 29, 2024
This study aimed to identify barriers and facilitators to older adults' acceptance of socially assistive robots from a stakeholder perspective. We enlisted 36 distinct stakeholders, including older adult, nurses, retirement home managers, and employe...
Is 80% satisfaction still the expectation in modern TKA mechanically aligned with robot assist? We think not.
Journal of robotic surgery
Mar 23, 2024
Several studies reported that20% of patients were unhappy with the outcome of their total knee arthroplasty (TKA). Having commenced robot assist TKA whilst maintaining the goal of implanting the prosthesis to a neutral mechanical axis, we reviewed ou...
Physicians' and Patients' Expectations From Digital Agents for Consultations: Interview Study Among Physicians and Patients.
JMIR human factors
Mar 18, 2024
BACKGROUND: Physicians are currently overwhelmed by administrative tasks and spend very little time in consultations with patients, which hampers health literacy, shared decision-making, and treatment adherence.
Neurobiologically realistic neural network enables cross-scale modeling of neural dynamics.
Scientific reports
Mar 1, 2024
Fundamental principles underlying computation in multi-scale brain networks illustrate how multiple brain areas and their coordinated activity give rise to complex cognitive functions. Whereas brain activity has been studied at the micro- to meso-sca...
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