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Alecia Mercier; Gabriela Sherrod; Robin Ennis; Olivio J. Clay; Caroline G. Richter; Despina Stavrinos – Journal of Autism and Developmental Disorders, 2025
A developmental milestone that both contributes to and facilitates a successful transition into adulthood is the ability to drive. Yet only one in three autistic adolescents successfully obtain a driver's license by age 21 compared to over three-fourths of non-autistic adolescents. Of those who receive their license, there is inconsistency in…
Descriptors: Profiles, Autism Spectrum Disorders, Motor Vehicles, Risk
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Jiali Song; Benjamin Wolfe – Cognitive Research: Principles and Implications, 2024
The low prevalence effect (LPE) is a cognitive limitation commonly found in visual search tasks, in which observers miss rare targets. Drivers looking for road hazards are also subject to the LPE. However, not all road hazards are equal; a paper bag floating down the road is much less dangerous than a rampaging moose. Here, we asked whether…
Descriptors: Traffic Safety, Motor Vehicles, Incidence, Identification
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Horn, Michael B. – Education Next, 2023
Just as there's no one-size-fits-all way to educate students, perhaps there is no one-size-fits-all-way to get them to school either. That is the argument behind HopSkipDrive, a startup that is seeking to complement and redefine the traditional bus model of taking students to school. Instead of kids making their way to the pre-determined route of…
Descriptors: Student Transportation, Bus Transportation, Motor Vehicles, Computer Oriented Programs
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Joel M. Cooper; Kaedyn W. Crabtree; Amy S. McDonnell; Dominik May; Sean C. Strayer; Tushig Tsogtbaatar; Danielle R. Cook; Parker A. Alexander; David M. Sanbonmatsu; David L. Strayer – Cognitive Research: Principles and Implications, 2023
Vehicle automation is becoming more prevalent. Understanding how drivers use this technology and its safety implications is crucial. In a 6-8 week naturalistic study, we leveraged a hybrid naturalistic driving research design to evaluate driver behavior with Level 2 vehicle automation, incorporating unique naturalistic and experimental control…
Descriptors: Motor Vehicles, Automation, Information Technology, Behavior
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Piesie A. G. Asuako; Robert Stojan; Otmar Bock; Melanie Mack; Claudia Voelcker-Rehage – Cognitive Research: Principles and Implications, 2025
It is well established that performing multiple tasks simultaneously (dual-tasking) or sequentially (task-switching) degrades performance on one or both tasks. However, it is unknown whether task-switching adds to the effects of dual-tasking in a single setup. We investigated this in a simulated everyday-like car driving scenario. We expected an…
Descriptors: Task Analysis, Time Management, Motor Vehicles, Performance
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Rachel K. Myers; Christina Labows; Catherine C. McDonald; Benjamin E. Yerys; Emma B. Sartin; Meghan E. Carey; Cynthia J. Mollen; Allison E. Curry – Journal of Autism and Developmental Disorders, 2025
Autistic adolescents and their families may experience barriers to transportation, including independent driving, which is critical to supporting quality of life and engagement in social, educational, and employment opportunities. Healthcare providers may feel unprepared to provide guidance to autistic adolescents, although they are among the…
Descriptors: Autism Spectrum Disorders, Adolescents, Motor Vehicles, Barriers
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David M. Remmert; Thomas W. O'Rourke – American Journal of Health Education, 2024
Background: States are often ranked on a range of different indicators. In this study, states were ranked for each of the leading actual causes of death. Purpose: This study ranks states on how hazardous they are to the health of the citizenry in terms of the actual causes of death as identified in the seminal article by McGinnis and Foege. and…
Descriptors: Public Health, Death, Mortality Rate, Poverty
Pierre-Alexandre Balland; Olesya Grabova; J. Scott Marcus; Robert Praas; Andrea Renda – European Union, 2025
This report examines the burgeoning generative artificial intelligence (GenAI) and foundation models landscape within the European Union, and analyses its impact, technological advancements, and regulatory implications. It details the GenAI value chain, identifying key players and investment trends, revealing a significant US dominance. The report…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Industry
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Sandeep Gajendragadkar; Rachna Arora; Rushabh Trivedi; Netra Neelam – Journal of Workplace Learning, 2024
Purpose: This study aims to explore the impact of "Performance Expectancy" (PE) on the performance of Indian automotive manufacturing employees through their "Behavioural Intention" (BI) in the context of digital learning within the volatile, uncertain, complex and ambiguous (VUCA) world. Design/methodology/approach: A…
Descriptors: Intention, Job Performance, Electronic Learning, Expectation
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Sitthimet Solthong; Xavier Parisot; Vincent Ribiere – Knowledge Management & E-Learning, 2024
Coaching has become an increasingly popular intervention tool for improving organizational performance. Among various benefits, coaching interventions can assist organizations with becoming learning organizations by developing a knowledge-sharing culture and strengthening knowledge flows. Nevertheless, there is insufficient empirical evidence…
Descriptors: Foreign Countries, Coaching (Performance), Intervention, Sales Occupations
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Janeé Pelletier – Childhood Education, 2024
In recent years, a significant focus has been placed on addressing systemic inequities that exist within the education system. While considerable strides have been made to address disparities in urban education, a new conversation is emerging--one that centers on the unique challenges faced by students living in rural communities. These challenges…
Descriptors: Barriers, STEM Education, Rural Areas, Laboratories
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Gongjin Lan; Qiangqiang Lai; Bing Bai; Zirui Zhao; Qi Hao – IEEE Transactions on Learning Technologies, 2024
Automotive engine assembly and disassembly are common and crucial programs in the automotive industry. Traditional education trains students to learn automotive engine assembly and disassembly in lecture courses and then to operate with physical engines, which are generally low effectiveness and high cost. In this article, we developed a…
Descriptors: Computer Simulation, Auto Mechanics, Training, Manufacturing
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Reem Jalal Eddine; Claudio Mulatti; Francesco N. Biondi – Cognitive Research: Principles and Implications, 2024
The use of partially-automated systems require drivers to supervise the system functioning and resume manual control whenever necessary. Yet literature on vehicle automation show that drivers may spend more time looking away from the road when the partially-automated system is operational. In this study we answer the question of whether this…
Descriptors: Motor Vehicles, Attention Control, Artificial Intelligence, Eye Movements
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McCracken, Marykate – Mathematics Teacher: Learning and Teaching PK-12, 2022
Students need to see the value in the lessons their teacher provide. As students begin to approach driving age, they may start to think about the make, model, color, and features they would want in a car; but do they think about the cost or how that cost depreciates over time? The author used these questions to develop a Desmos activity that would…
Descriptors: Motor Vehicles, Money Management, Mathematics Instruction, Culturally Relevant Education
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Nalence, Eugene Edward – Physics Teacher, 2022
The Edison Institute predicts that there will be at least 19 × 10[superscript 6] all-electric vehicles (EVs) in use by 2030. This will produce significant effects on our transportation system and its energy requirements. Investigating these effects is an ideal activity to show the relevance of physics. How efficient are EVs in using energy? What…
Descriptors: Physics, Science Instruction, Energy, Motor Vehicles
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