Physics is less diverse than other physical sciences. Do graduate school admission processes contribute to this?
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Author: Nick Young
I am a physics and computational mathematics, science, and engineering PhD student at Michigan State University and the founder of PERbites. I'm interested in applying machine learning to analyze educational datasets and am currently studying the physics graduate school admissions process.
Extra! Extra! Physics labs seem to be extra.
Labs have been a standard part of the physics curriculum. Today’s paper suggests that labs don’t help students develop physics knowledge beyond what is already covered in other parts of the course.
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Transitioning between tables, equations, and graphs (oh my!) in physics and math
Using multiple representations is central to the study of physics. Today we look at how well students can change between representations of linear functions.
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Paper or Pla– Electronic For Conceptual Inventories
There is only so much class time during a semester which may make it difficult to incorporate research based assessments. Can we just give them online?
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The lack of a relation between student learning and student evaluations
Student evaluations of instruction are widely used to evaluate instructors. Today’s article suggests these are not correlated with student learning.
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AAPT Special: Do workshops work? With the right facilitation, yes.
Workshops are successful in introducing new teaching strategies but less so in sustaining them. How the strategies are introduced matters.
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The (physics class) Social Network
A student’s network could have an impact on whether they decide to continue their degree program. Today’s paper looks into this issue.
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Who wants to be physics teacher?
What are the demographics of future physics teachers & are any of those characteristics associated with their performance on certification exams?
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The Price of Active Learning
Active learning methods are thought to be more costly to implement than traditional lectures. Is this common belief actually the case and if so, what does that mean for their implementation?
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To use g or not to use g? That is the question.
Normalized gain, g, has been the standard statistic in PER for the past two decades, but its statistical properties haven’t been explored until recently.
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