United States

AAPT SM 20

Investigating Student Understanding of Measurement Uncertainty

transformed laboratory

assessment

uncertainty

The 2020 AAPT Virtual Summer Meeting brought together physics educators from around the globe to learn about the latest in physics theory, research methodology and education from leaders in their field. The program featured plenary speakers, sessions, workshops and many special activities.

For more information please visit the 2020 AAPT Virtual Summer Meeting page at: https://www.aapt.org/Conferences/SM2020/index.cfm.


The 2020 AAPT Virtual Summer Meeting brought together physics educators from around the globe to learn about the latest in physics theory, research methodology and education from leaders in their field. 

poster

Developing an Interactive Tutorial on a Quantum Eraser

Interactive video-enhanced tutorials (IVETs) involve web-based activities which lead students through a solution using expert-like problem-solving approaches, such as those needed for solving problems involving conservation of energy or linear momentum. Under NSF funding we have been developing and evaluating multiple IVETs for use with college students in introductory physics. This presentation will showcase our research methods and the impact of various IVETs on student problem-solving abilities.

Interactive Video-Enhanced Tutorials Impact on Student Problem-Solving Abilities

A graduate teaching assistant’s approach to facilitating a supportive peer network

Experimental Science Affect and Measurement Uncertainty

Social positioning and consensus building in two contentious “board” meetings

Representing Torque with Oriented Parallelograms

How Force And Energy Notation Affects The Way Students Say It

We present the design and initial implementation of two data-driven Astronomy courses at the University of Oklahoma. Both courses focus on data analytics skills acquisition using the Python coding language and Jupyter notebooks, and are aimed at providing students with experiences and skills for a wide range of careers. Astronomy 3190 is a elective course for sophomores. The emphasis is on repeated exposure to the data life cycle: data wrangling, visualization, statistical thinking, modeling, computational thinking, and communication skills. Astronomy 5900 is a graduate course taken by upper-division undergraduates and graduate students. The course provides an ambitious romp through statistical inference, Markov Chain Monte Carlo, cluster analysis, regression, principal components analysis, classification, and time series. Both courses use freely available astronomical data from various sources including the Sloan Digital Sky Survey. A discussion of the learning goals and examples of specific activities will be included.

A Portfolio of Data Analytics Classes at University of Oklahoma

Comparing Attitudes of Students and Faculty About Inclusive Teaching Practices

Professional Development Pathways to Integrate Computing in Physics First

technical paper

https://d3smihljt9218e.cloudfront.net/transcript/691/subtitle/6b77b60a35d8580b62b4e86194f7db76.vtt

English (automatic)

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