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Duncan Davis-Hall; Laura Farrelly; Melissa Risteff; Chelsea M. Magin – Biomedical Engineering Education, 2023
Underrepresentation of female students and specific racial/ethnic groups persists in STEM despite decades of intervention. Evidence suggests a need to encourage interest in STEM fields at the middle-school level. Adolescent career aspirations are influenced by exposure to role models and mindsets, such as a sense of perceived personal capacity.…
Descriptors: Role Models, Recognition (Achievement), STEM Careers, Disproportionate Representation
Hokanson, Brad; Norden, Amie – Educational Media and Technology Yearbook, 2019
Trends are often narrowly described in educational technology as those that directly affect our domain, such as the use of hardware or software advances or the shift to mobile computing. In a larger sense, trends also describe changes in how we live, how society changes, and the resulting tides of human life. Trends are inclinations or drifts in a…
Descriptors: Technology Uses in Education, Educational Trends, Influence of Technology
Laura Michelle Reeves – ProQuest LLC, 2019
Research shows that educational leaders hesitate to embrace technology because of the need to balance diverse learning approaches along with pressure to promote and expect teachers to integrate technology chosen primarily by district leaders. While educational technology marries educational theory and practice with technology tools, its intention…
Descriptors: Principals, Administrator Attitudes, Educational Technology, Technology Uses in Education
Attributes of Communication Aids as Described by Those Supporting Children and Young People with AAC
Judge, Simon; Murray, Janice; Lynch, Yvonne; Meredith, Stuart; Moulam, Liz; Randall, Nicola; Whittle, Helen; Goldbart, Juliet – International Journal of Language & Communication Disorders, 2023
Background: Those supporting children and young people who use augmentative and alternative communication (AAC) contribute to ongoing complex decision-making about communication aid selection and support. Little is known about how these decisions are made in practice and how attributes of the communication aid are described or considered. Aims: To…
Descriptors: Assistive Technology, Augmentative and Alternative Communication, Decision Making, Children
Yao, Shu-Nung; Liang, Chaoyun – IEEE Transactions on Learning Technologies, 2023
Image processing-based augmented reality (AR) is widely used in several fields. However, audio content is also crucial in certain cases, for example, focusing on appreciating artwork in a museum, rather than a virtually synthesized image. In this study, an attempt was made to provide ubiquitous learning (u-learning) services by using audio AR for…
Descriptors: Computer Simulation, Electronic Learning, Audio Equipment, Educational Technology
Introduction of Technology to Support Young People's Care and Mental Health--A Rapid Evidence Review
Ramshaw, G.; McKeown, A.; Lee, R.; Conlon, A.; Brown, D.; Kennedy, P. J. – Child & Youth Care Forum, 2023
Background: Technology and its use within mental health services has advanced dramatically over recent years. Opportunities for mental health services to utilise technology to introduce novel, effective, and more efficient means of delivering assessment, and treatment are increasing. Objective: The current rapid-evidence paper reviews evidence…
Descriptors: Technology, Mental Health, Mental Health Programs, Health Services
Lyu, Ling; Sokolova, Alla – Education and Information Technologies, 2023
There is little research about using information technologies in music education. The issue of comparing the approach to music education based on modern technologies with the traditional approach is of particular interest. Thus, the purpose of the study is to compare the effectiveness of music education based on modern technologies with the…
Descriptors: Technology Uses in Education, Music Education, Elementary School Students, Instructional Effectiveness
You've Been Warned: Does Information about Pitfalls of Technological Toys Affect Caregiver Behavior?
Hassinger-Das, Brenna; Dore, Rebecca A.; Zosh, Jennifer M. – Mind, Brain, and Education, 2023
Abstract Although the presence of toys in childhood has remained steady for decades, the types of toys that fill children's toy boxes have changed, especially over the last 10-15 years. Many of today's toys are marked by technological enhancements, from a shape sorter driven by a singing bear to robotic plastic animals designed to match a…
Descriptors: Children, Child Caregivers, Toys, Technology
Negm, Eiman – Higher Education, Skills and Work-based Learning, 2023
Purpose: This study examines higher education students' technology readiness level in explaining adoption intention toward educational Internet of Things (IoT) needed for online learning. Design/methodology/approach: Quantitative deductive research approach is used to check the theory of technology readiness index toward IoT in education. An…
Descriptors: College Students, Technological Literacy, Readiness, Internet
Ironsi, Chinaza Solomon – Educational Technology Research and Development, 2023
Digitally enhanced teaching does not imply neglecting appropriate teaching strategies and approaches. There are assertions that negative learning outcomes obtained in blended learning could be a result of neglecting the use of an appropriate lesson planning framework, teaching strategies and approaches. Already, there are calls for the use of more…
Descriptors: Technology Integration, Instructional Design, Instructional Effectiveness, Language Skills
Lian, Erin; Lin, Jiaju; Zhang, Jiping – Educational Technology Research and Development, 2023
Scratch is widely used as an introductory educational tool for computer programming. However, little is known about how the action of adding favorite projects on Scratch social media influences programming skill improvement. On Scratch social media, learners select personally intriguing projects to view and learn from. Favorite projects both…
Descriptors: Programming, Programming Languages, Skill Development, Social Media
Crisp, Erin; Hardman, Philippa – New Directions for Teaching and Learning, 2023
This chapter proposes a new approach to evaluating course quality by prioritizing the learner's feedback experience. The authors argue that courses may still be ineffective despite having the core components and suggest incorporating technology to enhance the feedback experience.
Descriptors: Learning Motivation, Feedback (Response), Design, Standards
Lerma, Nicholas; Gulgin, Heather – Measurement in Physical Education and Exercise Science, 2023
This study evaluated the agreement between Kinect V2 with AssessLink and Vicon motion capture systems in children performing the vertical jump (JL) and forward leap (Leap). Eighteen healthy children (5-17 years) performed the movements while recorded simultaneously by both motion capture systems. Spearman correlation ([rho]) and Bland-Altman were…
Descriptors: Motion, Psychomotor Skills, Children, Human Body
Ferdig, Richard E.; Kosko, Karl W.; Gandolfi, Enrico – Educational Technology Research and Development, 2023
A growing body of research has supported the implementation of innovative and immersive video for teaching and learning across the lifespan. Immersive video, delivered through eXtended Reality (XR) tools like 360 video, provides users with new ways to see real or created environments. Unfortunately, most of the existing research has highlighted…
Descriptors: Observation, Audio Equipment, Video Technology, Computer Simulation
Digital Ink and Differentiated Subjective Ratings for Cognitive Load Measurement in Middle Childhood
Altmeyer, Kristin; Barz, Michael; Lauer, Luisa; Peschel, Markus; Sonntag, Daniel; Brünken, Roland; Malone, Sarah – British Journal of Educational Psychology, 2023
Background: New methods are constantly being developed to adapt cognitive load measurement to different contexts. However, research on middle childhood students' cognitive load measurement is rare. Research indicates that the three cognitive load dimensions (intrinsic, extraneous, and germane) can be measured well in adults and teenagers using…
Descriptors: Cognitive Processes, Difficulty Level, Cognitive Measurement, Children

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