United States

AAPT SM 20

Helping Students Understand Temperature By Using Money

money

thermal

temperature

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

poster

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. 

Introductory calculus-based physics is taught at Bridgewater College with both laboratory and computational components. Simple programming in Glowscript (a vpython environment) is introduced to students in recitation section. In two of the lab experiments (cart sliding with constant velocity, collision between two carts), students use the experimental data to determine the parameters for a numerical simulation of the system. The computational activities are designed to provide practice with momentum conservation and with updating the position of an object based on its previous position and velocity. Integrating them with lab activities is intended to promote understanding of the physical parameters. If coded correctly, the numerical output will resemble the experimental data, providing plausibility checks on the code. A more advanced laboratory activity done in Physics I, the ballistic pendulum, has also been simulated numerically by a student as an Honors Upgrade. The simulation applies the principle of momentum conservation to reproduce the motion of a pendulum after a collision with a projectile.

Computational Simulations of Introductory Lab Experiments in Physics I

Modern Techniques to Engage Students using Microcontroller Hardware and Python

Extending Modified Module Analysis to Include Correct Conceptual Physics Responses

Using Machine Learning to Understand Changes in CLASS Scores

Three-Dimensional Learning in Introductory Physics for Life Sciences Laboratory Courses

Computation has much to offer in terms of teaching quantum mechanics. In this presentation we give specific examples of use of computation in quantum mechanical problems. We also discuss standard toolkits either well-known, used in research or found in software libraries, and not-so-standard tools one can implement themselves. Examples utilizing numerical and visualization techniques for solving time-dependent and time-independent quantum systems will be discussed (see also http://www.faculty.umassd.edu/j.wang/) including superposition, scattering flux, eigenstates in periodic structures, evolution of uncertainties, and quantum dots.

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