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Results #1-#10 of 100+
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Physical Review Physics Education Research
  
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100
Category:
PER Literature
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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…
Physical Review Physics Education Research
  
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PER Literature
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A. Traxler, T. Suda, E. Brewe, and K. Commeford, Phys. Rev. Phys. Educ. Res., 16 (2), 020129 (2020).
This study uses positional analysis to describe the student interaction networks in four research-based introductory physics curricula. Positional analysis is a technique for…
Physical Review Physics Education Research
  
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PER Literature
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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…
Physical Review Physics Education Research
  
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PER Literature
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P. Eaton, B. Frank, and S. Willoughby, Phys. Rev. Phys. Educ. Res., 16 (2), 020122 (2020).
Items that are chained, or blocked, together appear on many of the conceptual assessments utilized for physics education research. However, when items are chained together there is…
Physical Review Physics Education Research
  
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Q. Chen, G. Zhu, Q. Liu, J. Han, Z. Fu, and L. Bao, Phys. Rev. Phys. Educ. Res., 16 (2), 020120 (2020).
Problem-solving categorization tasks have been well studied and used as an effective tool for assessment of student knowledge structure. In this study, a traditional free-response…
Physical Review Physics Education Research
  
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PER Literature
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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…
Physical Review Physics Education Research
  
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D. Webb, C. Paul, and M. Chessey, Phys. Rev. Phys. Educ. Res., 16 (2), 020114 (2020).
In deciding on a student’s grade in a class, an instructor generally needs to combine many individual grading judgments into one overall judgment. Two relatively common numerical…
Physical Review Physics Education Research
  
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PER Literature
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K. Rainey, M. Vignal, and B. Wilcox, Phys. Rev. Phys. Educ. Res., 16 (2), 020113 (2020).
Though several conceptual inventories have been developed for thermal physics, none target upper-division material and all focus specifically on thermodynamics without including…
Physical Review Physics Education Research
  
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Category:
PER Literature
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P. Chastenay and M. Riopel, Phys. Rev. Phys. Educ. Res., 16 (2), 020107 (2020).
We present the development and validation of a new assessment tool, the Moon Phases Concept Inventory for Middle School (MPCI-MS), a concept inventory about the phases of the moon…
Physical Review Physics Education Research
  
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PER Literature
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S. Kanim and X. Cid, Phys. Rev. Phys. Educ. Res., 16 (2), 020106 (2020).
Is physics education research based on a representative sample of students? To answer this question we skimmed physics education research papers from three journals for the years…
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Results #1-#10 of 100+