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Meral, Cigdem – ProQuest LLC, 2023
Preparing students for science, technology, engineering, and mathematics (STEM) education is one of the United States' K-12 educational concerns (Gandhi et al., 2016). Despite the National Science Foundation's (NSF) report that the number of students participating in STEM fields continues to increase, the number of underrepresented students…
Descriptors: High School Students, STEM Education, Career Choice, Decision Making
Jared P. Canright; Suzanne White Brahmia – Physical Review Physics Education Research, 2024
We report on a study of the effects of laboratory activities that model fictitious laws of physics in a virtual reality environment on (i) students' epistemology about the role of experimental physics in class and in the world; (ii) students' self-efficacy; and (iii) the quality of student engagement with the lab activities. We create…
Descriptors: Physics, Science Instruction, Self Efficacy, Computer Simulation
Denson, Cameron D.; Kelly, Daniel P. – Engineering Design Graphics Journal, 2018
Research on self-efficacy has provided evidence that it is a moderating factor that positively impacts students' choices to pursue and persist in engineering. Engineering graphics is seen as the preferred method of communication for the profession, yet to date no instrument is available that measures students' self-efficacy as it relates to…
Descriptors: Test Construction, Self Concept Measures, Self Efficacy, Test Validity
Su, Chung-Ho; Cheng, Ching-Hsue – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This study aims to explore the factors in a patient's rehabilitation achievement after a total knee replacement (TKR) patient exercises, using a PCA-ANFIS emotion model-based game rehabilitation system, which combines virtual reality (VR) and motion capture technology. The researchers combine a principal component analysis (PCA) and an adaptive…
Descriptors: Foreign Countries, Patients, Patient Education, Rehabilitation
Chow, Meyrick; Herold, David Kurt; Choo, Tat-Ming; Chan, Kitty – Computers & Education, 2012
Learners need to have good reasons to engage and accept e-learning. They need to understand that unless they do, the outcomes will be less favourable. The technology acceptance model (TAM) is the most widely recognized model addressing why users accept or reject technology. This study describes the development and evaluation of a virtual…
Descriptors: Self Efficacy, Nursing Students, Intention, Electronic Learning