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Rebeckah K. Fussell; Megan Flynn; Anil Damle; Michael F. J. Fox; N. G. Holmes – Physical Review Physics Education Research, 2025
Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…
Descriptors: Physics, Computational Linguistics, Classification, Laboratory Experiments
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Sofalvi, Alan J. – Health Educator, 2017
Awareness of the history of health education efforts is important for health educators. The VD Radio Project, developed in the middle of the 20th century, was a cooperative effort of the United States Public Health Service and Columbia University designed to encourage people to be tested for sexually transmitted infections. How the campaign came…
Descriptors: Health Education, Sexually Transmitted Diseases, Prevention, Public Health
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Kazakoff, Elizabeth R.; Sullivan, Amanda; Bers, Marina U. – Early Childhood Education Journal, 2013
This paper examines the impact of programming robots on sequencing ability during a 1-week intensive robotics workshop at an early childhood STEM magnet school in the Harlem area of New York City. Children participated in computer programming activities using a developmentally appropriate tangible programming language CHERP, specifically designed…
Descriptors: Children, Robotics, Programming Languages, Control Groups
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Ebrahimi, Alireza – Journal of Educational Technology Systems, 2007
An observation on teaching introductory programming courses on SLN for a period of two terms led me to believe that online students try various ways to solve a problem. In the beginning, I got the impression that some of their approaches for a solution were wrong; but after a little investigation, I found that some of the problem-solving…
Descriptors: Problem Solving, College Students, Online Courses, Programming