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Yi Zheng; Steven Nydick; Sijia Huang; Susu Zhang – Educational Measurement: Issues and Practice, 2024
The recent surge of machine learning (ML) has impacted many disciplines, including educational and psychological measurement (hereafter shortened as "measurement"). The measurement literature has seen rapid growth in applications of ML to solve measurement problems. However, as we emphasize in this article, it is imperative to critically…
Descriptors: Artificial Intelligence, Measurement, Measurement Equipment, Psychological Evaluation
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Daehyoung Lee; Georgia C. Frey; Donetta J. Cothran; Jaroslaw Harezlak; Patrick C. Shih – Journal of Autism and Developmental Disorders, 2024
This study examined the concordance between accelerometry-measured and self-reported physical activity (PA) and sedentary time in adults with autism. Twenty-four participants wore an ActiGraph GT3X + accelerometer for seven consecutive days and completed the International Physical Activity Questionnaire-Short Form (IPAQ-SF) on the last day of…
Descriptors: Physical Activity Level, Adults, Autism Spectrum Disorders, Measurement Equipment
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Tenko Raykov; George A. Marcoulides; Natalja Menold – Applied Measurement in Education, 2024
We discuss an application of Bayesian factor analysis for estimation of the optimal linear combination and associated maximal reliability of a multi-component measuring instrument. The described procedure yields point and credibility interval estimates of this reliability coefficient, which are readily obtained in educational and behavioral…
Descriptors: Bayesian Statistics, Test Reliability, Error of Measurement, Measurement Equipment
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Williams, Hollis – Physics Education, 2022
We use a tensile testing machine to create stress-strain plots and determine Young's modulus for some ductile and plastic materials. Supplementary videos are also provided.
Descriptors: Measurement Equipment, Physics, Science Instruction, Graphs
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Boer, Pieter-Henk – Journal of Applied Research in Intellectual Disabilities, 2023
Introduction: The VO[subscript 2] max test is the gold standard measure for aerobic fitness. A standardised treadmill protocol was developed years ago for individuals with Down syndrome but with variations in terms of starting speed, load increases and time spent at each stage. However, we realised that the most widely used protocol for adults…
Descriptors: Adults, Down Syndrome, Physical Fitness, Measurement Equipment
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Lin, Zhiqi; Xie, Yuchan; Tu, Chaoshi – Physics Teacher, 2023
Acceleration of moving objects is usually measured by photoelectric gates. In this paper, a method of acceleration measurement is proposed by pasting white card stock and black tape on a pulley and then using an Arduino to time the motion. This method only needs one photoelectric sensor to measure the acceleration. In contrast, using photoelectric…
Descriptors: Science Instruction, Physics, Scientific Concepts, Measurement Techniques
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Wejner, Manuel; Wilke, Timm – Journal of Chemical Education, 2022
The acquisition of quantitative measurement data has been a challenge in chemistry education for a long time, as the required measurement devices are often too old, error-prone, complicated to operate, or simply too expensive. This paper presents the LabPi digital measurement station, which addresses this problem and provides a solution for…
Descriptors: STEM Education, Measurement, Measurement Equipment, Chemistry
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Nathan Dadey; Brian Gong; Yun-Kyung Kim; Edynn Sato – Educational Measurement: Issues and Practice, 2024
"Through-year assessments" are assessments that are administered in multiple parts and at different times over the course of a school year that also produce summative scores that can be used with state accountability systems (Lorié et al., 2021; Dadey & Gong, 2023). These assessments are alternatively known as instructionally…
Descriptors: Evaluation, Educational Assessment, Time Perspective, Summative Evaluation
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Mayara S. Bianchim; Melitta A. McNarry; Alan R. Barker; Craig A. Williams; Sarah Denford; Lena Thia; Rachel Evans; Kelly A. Mackintosh – Measurement in Physical Education and Exercise Science, 2024
This study aimed to develop and validate machine learning models to predict intensities in children and adolescents with cystic fibrosis (CF) across different accelerometry brands and placements. Thirty-five children and adolescents with CF (11.6 ± 2.8 yrs; 15 girls) and 28 healthy youth (12.2 ± 2.7 yrs; 16 girls) performed six activities whilst…
Descriptors: Models, Prediction, Children, Adolescents
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Yang Qin – International Journal of Information and Communication Technology Education, 2024
With the development of technology, people expect real-time communication with computers. Wearable devices, such as those for monitoring physiological signals, have rapidly developed and are now being applied in college and university evaluation. Due to the non-standard and unscientific practices in teaching, teachers may experience psychological…
Descriptors: Artificial Intelligence, Psychological Patterns, Physiology, Emotional Response
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Kathryn L. Kapp; Renã A. S. Robinson; Susan Verberne-Sutton; Kaitlyn E. Stepler – Journal of Chemical Education, 2023
Proteomics, or the study of the set of proteins in an organism, tissue, or cell, is a rapidly growing field within bioanalytical chemistry that can be used to investigate many biological questions. However, proteomics is not fully integrated into the undergraduate chemistry curriculum because of a lack of access to expertise, the cost of required…
Descriptors: Undergraduate Study, Science Education, Biochemistry, Measurement Equipment
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Hyun Jin Kim; Yuyi Park; Jihyun Lee – Educational Psychology Review, 2024
This study provides a comprehensive overview of methodological aspects when using heart rate variability (HRV) measures in educational research. Following PRISMA 2020 guidelines, we searched four databases for relevant studies published until March 5, 2024. From the 48 studies reviewed, we extracted data across three analytical categories: (1)…
Descriptors: Physiology, Educational Research, Measurement Equipment, Guidelines
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Priya Patel; Harsh Pandya; Rajiv Ranganathan; Mei-Hua Lee – Journal of Motor Learning and Development, 2024
Manual exploratory behaviors during object interaction that form the basis of tool use behavior, are mostly qualitatively characterized in terms of their frequency and duration of occurrence. To fully understand their functional and clinical significance, quantitative movement characterization is needed alongside their qualitative analysis.…
Descriptors: Discovery Learning, Toys, Measurement Equipment, Object Manipulation
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Selcuk Yaralioglu; Mustafa Ferit Acar – Turkish Online Journal of Educational Technology - TOJET, 2024
This research aimed to measure the fist speed and strength of Elite Kick Boxers from TRNC and the Republic of Turkey, which are the basic techniques of hand smacking. Since measuring with scientific precision technological devices is not suitable due to the dress code in the competitions, punch counts, speeds and strengths were measured by…
Descriptors: Foreign Countries, Athletes, Physical Fitness, Muscular Strength
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Dorsel, Dominik; Staacks, Sebastian; Heinke, Heidrun; Stampfer, Christoph – Physics Teacher, 2022
As smartphones have become a part of our everyday life, their sensors have successfully been used to allow data acquisition with these readily available devices in a variety of different smartphone-based school experiments. Such experiments most commonly take advantage of the accelerometer and gyroscope. A less frequently used sensor in…
Descriptors: Handheld Devices, Measurement Equipment, Science Experiments, Navigation
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