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Results #1-#10 of 100+
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1.
Using machine learning to identify the most at-risk students in physics classes
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100
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J. Yang, S. DeVore, D. Hewagallage, P. Miller, Q. Ryan, and J. Stewart, Phys. Rev. Phys. Educ. Res.,
16
(2), 020130 (2020).
Machine learning algorithms have recently been used to predict students’ performance in an introductory physics class. The prediction model classified students as those likely to…
https://doi.org/10.1103/PhysRevPhysEducRes.16.020130
2.
Impact of an active learning physics workshop on secondary school students’ self-efficacy and ability
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J. Durk, A. Davies, R. Hughes, and L. Jardine-Wright, Phys. Rev. Phys. Educ. Res.,
16
(2), 020126 (2020).
Female students and those with a low socioeconomic status (SES) typically score lower in assessments of self-efficacy and ability in science, technology, engineering, and mathematics…
https://doi.org/10.1103/PhysRevPhysEducRes.16.020126
3.
Grades, grade component weighting, and demographic disparities in introductory physics
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A. Simmons and A. Heckler, Phys. Rev. Phys. Educ. Res.,
16
(2), 020125 (2020).
Two set of studies were conducted to better understand grades and grading practices in physics courses, and how these might influence demographic representational disparities in…
https://doi.org/10.1103/PhysRevPhysEducRes.16.020125
4.
Animation and interactivity in computer-based physics experiments to support the documentation of measured vector quantities in diagrams: An eye tracking study
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C. Hoyer and R. Girwidz, Phys. Rev. Phys. Educ. Res.,
16
(2), 020124 (2020).
Simulations and virtual or remote laboratories are increasingly used in schools. The extent to which individual experimental skills can be acquired when experimenting in digital…
https://doi.org/10.1103/PhysRevPhysEducRes.16.020124
5.
Using virtual reality in electrostatics instruction: The impact of training
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C. Porter, J. Smith, E. Stagar, A. Simmons, M. Nieberding, C. Orban, J. Brown, and A. Ayers, Phys. Rev. Phys. Educ. Res.,
16
(2), 020119 (2020).
Recent years have seen a resurgence of interest in using virtual reality (VR) technology to benefit instruction, especially in physics and related subjects. As VR devices improve and…
https://doi.org/10.1103/PhysRevPhysEducRes.16.020119
6.
Guiding students towards an understanding of the electromotive force concept in electromagnetic phenomena through a teaching-learning sequence
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K. Zuza, M. De Cock, P. van Kampen, T. Kelly, and J. Guisasola, Phys. Rev. Phys. Educ. Res.,
16
(2), 020110 (2020).
This work presents the application of design based research (DBR) methodology to conduct a systematic iterative study of the design and implementation of a teaching-learning sequence…
https://doi.org/10.1103/PhysRevPhysEducRes.16.020110
7.
Senior undergraduate students developing and envisioning possible selves after graduation
[ Conference Proceedings ]
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Byline:
H. Khong, B. Lohman, N. Foth, and E. Sayre
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H. Khong, B. Lohman, N. Foth, and E. Sayre, PERC 2021 Proceedings, 203-208.
This study is situated within possible selves theory to explore how senior undergraduate students in STEM develop and envision their future possible selves after graduation. We…
https://www.compadre.org/portal/document/ServeFile.cfm?ID=15753&DocID=54...
8.
Fitting in to Move Forward
[ Journal Article ]
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K. Lewis, N. Finkelstein, S. Pollock, A. Miyake, G. Cohen, and T. Ito, Psychol. Wom. Q.,
41
(4), 420-436 (2017).
Social science researchers have increasingly focused on understanding the precursors to gender disparities favoring men in the physical sciences, technology, engineering, and…
https://doi.org/10.1177/0361684317720186
9.
Effect of integrating physics education technology simulations on students’ conceptual understanding in physics: A review of literature
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H. Banda and J. Nzabahimana, Phys. Rev. Phys. Educ. Res.,
17
(2), 023108 (2021).
This paper describes a comprehensive review of 31 quasi or experimental research studies from the past decade on the effect of PhET simulations on students’ conceptual understanding…
https://doi.org/10.1103/PhysRevPhysEducRes.17.023108
10.
Classrooms: Goals, structures, and student motivation.
[ Journal Article ]
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C. Ames, J. Educ. Psychol.,
84
(3), 261-271 (1992).
This article examines the classroom learning environment in relation to achievement goal theory of motivation. Classroom structures are described in terms of how they make different…
https://doi.org/10.1037/0022-0663.84.3.261
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Results #1-#10 of 100+
