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The PhysPort Data Explorer (www.PhysPort.org/DataExplorer) is an online tool for physics instructors to analyze their research-based assessment data (including FCI, FMCE, BEMA, CSEM, CLASS, MPEX, and many more). Instructors upload their students&#39; responses using our secure interface. The Data Explorer matches their pre/post data, scores it, compares it to national data, and graphs it in an interactive and intuitive manner. Instructors can look at results over time, breakdown by question or cluster, and comparisons between courses. Instructors can also upload data related to student demographics, academic record, or background, and look at their assessment results based on this information. We present the Data Explorer and discuss equity issues around analysis and interpretation of research-based assessment results, in order to support faculty in using data to reveal and address inequities, to more effectively support minoritized groups of students, and to minimize and eliminate harm.

AAPT SM 22

Using the PhysPort Data Explorer to analyze research-based assessment results

AAPT meetings are a great way to reflect on your teaching, recommit to best practices and re-energize your career with new research, products, and techniques. Listen to internationally known plenary speakers, attend sessions, workshops, and special activities. This meeting is an excellent opportunity to share your expertise and learn from and network with leaders in the field.



The PhysPort Data Explorer (www.PhysPort.org/DataExplorer) is an online tool for physics instructors to analyze their research-based assessment data (including FCI, FMCE, BEMA, CSEM, CLASS, MPEX, and many more). Instructors upload their students' responses using our secure interface. The Data Explorer matches their pre/post data, scores it, compares it to national data, and graphs it in an interactive and intuitive manner. Instructors can look at results over time, breakdown by question or cluster, and comparisons between courses. Instructors can also upload data related to student demographics, academic record, or background, and look at their assessment results based on this information. We present the Data Explorer and discuss equity issues around analysis and interpretation of research-based assessment results, in order to support faculty in using data to reveal and address inequities, to more effectively support minoritized groups of students, and to minimize and eliminate harm.

poster

Force symbols in University Modeling Instruction explicitly represent forces as detailed descriptions of interactions to facilitate (i) coordinating force with the system schema and (ii) learning force. For example, represents the gravitational force by Earth on ball, where “g” represents gravitational (i.e. the type of interaction), “E” represents Earth, represents “by” and “on”, and “B” represents ball. Although students are taught to say as “gravitational force”, audio data from student-led whole-class discussions shows that more than 40% percent of the time was referred to as “force gravity” instead. Analogous results were obtained for contact force symbols as well. Because language plays such a crucial role in learning physics, several years ago, as an experiment, the notation was changed from to to make it more closely match how it is to be read. Student use of “force gravity” and “force contact” dropped to less than 5% with this notation switch. Energy.

Changing Notation That Represents Force Changes How Students Say It

With the growing ubiquity of computation in STEM fields, understanding how to teach computational thinking (CT) practices has become an active research area in the last two decades, with particular emphasis on developing CT frameworks. In this paper, we apply one of these CT frameworks and correlate the results with a task analysis to examine how CT practices relate to specific design features of an in-class problem. We have analyzed video data from two separate groups working on one computational class period, which utilizes a minimally working program to model magnetic field vectors. While still in the initial stages of the study, our preliminary results indicate that what is left out of the minimally working program will impact the CT practices students use, particularly around building computational models. Ultimately, we hope this work will help instructors to design activities that can target & build specific CT practices

Relating Computational Thinking Practices and Problem Design Features

We’re interested in ways that students collaborate to solve conceptual physics problems in the context of spherical unit-vectors in upper-division E&M, especially ones that are difficult for individuals to solve, but which small groups are more successful at. Using a think-out-loud protocol, we interviewed students in small groups, asking them to solve together problems from this context on a large whiteboard. Using the resources framework and an emergent coding analysis of interview video, we observed one common mechanism in all three group-interviews whereby students collaborated effectively: first one student activated a conceptual resource and expressed it, then another student took up that idea, then finally the whole group together used that idea to move forward with the problem. In this poster, we report our method of analysis and results from one group interview to illustrate a resource activated and used in this way, which we call a shared resource.

Shared Resources in Student Problem-Solving of Spherical Unit Vectors

This poster analyzes two examples of whiteboard meetings from a college calculus-based introductory physics course taught using University Modeling Instruction. In UMI, student small groups create a solution to the same problem on 2? × 3? whiteboards. They then sit in a large circle with whiteboards held facing in and conduct a student-led whole-class discussion to reach consensus. In the first example students overcame sharp disagreements to reach consensus, but in the second example they don’t. We examine how social positioning contributed to students either successfully examining and resolving different ideas or failing to do so. Results from these two examples support the idea that meetings where “experts” soften their position by “hedging” more frequently are better able to overcome sharp initial disagreements to reach consensus on their own. Our analysis suggests that the way students position themselves in discussions may open or close the collaborative space to productive sense-making.

Two contentious board meetings; social positioningCorrelates with consensus building

In California and other western states, discussions about climate change and water access have become increasingly urgent. Connecting science learning inside the classroom to real issues that affect our students and their families is key to help students see science as a tool to work for change in their communities. Place-based education, which is rooted in historic and Indigenous educational practices, strongly supports these goals. In our Physical Science course for ninth and tenth graders, we added an outdoor experiential component to our “Science of Water” unit thereby placing our learning about water into our local context of rural Northern California. From the chemical properties of water, power generation via our local hydroelectric dam, decisions about water usage and the effects on ecosystems, and the implications of climate change, students can see the connections between all of these topics rather than learning each in isolation in separate courses.

Place-based education in high school physical science

Due to the low number of physics majors choosing to go into high school teaching positions, there has been an increasing number of physics classrooms led by teachers with little to no background knowledge. These limitations reduce the effectiveness of the class, and tend to go unaddressed by public school systems. The Mitchell Institute Physics Enhancement Program was created to address these issues through assisting out-of-field teachers in gaining necessary background knowledge. Over a two week period, participants work with physics faculty as well as two master high school physics teachers, training in both their subject knowledge and implementation. Participant pre- and post-program knowledge and confidence were measured using an assessment compiled of questions from mechanics, electricity and magnetism, optics, and modern physics. New results from the 2021 and 2022 cohorts will be presented. Analysis of our findings will also be discussed to encourage other institutions to create similar programs.

Further development of out-of-field high school teacher preparation

Many K-12 teachers are teaching physics for the first time and are unfamiliar with best practices for the management of labs, demos, and materials. When teachers feel uncomfortable with labs and equipment, they simply won't do the labs, to the detriment of their students. This is an area where experienced physics teachers can greatly support and empower those new to teaching physics. New teachers should be given time within a professional development setting to use lab materials, gain familiarity with best lab practices in the classroom, and learn how to organize equipment effectively and safely. I will discuss my experiences with leading “New Physics Teacher Workshops” as well as professional development for my company, including outreach to find teachers needing help, motivation for teachers to attend the PD, and the gains they have made through attending.

Professional Development for K-12 Teachers New to Physics Labs

The motion of non-inertial reference frames and the forces involved in understanding them (Coriolis and centrifugal forces) are challenging concepts for introductory and advanced mechanics students. Predicting trajectories of an object due to fictitious forces is another challenge for students. An effective way of presenting this new material has been to create a complex rotating apparatus with two cameras or to find footage of such an apparatus. We built an interactive simulation of the traditional apparatus that many students find helpful when trying to understand the motion of objects in non-inertial reference frames. Students can change both the velocity of an object and the angular velocity of the reference frame it is viewed in and then view a real-time, side-by-side comparison of the object in different reference frames. The simulation was built in JavaScript, so it will run on most browsers on a computer or mobile device.

Creating an Interactive Simulation for Non-Inertial Reference Frames

The use of new technologies for educational purposes has been the subject of great interest in the general education and discipline-based education research communities. In recent years, new technological developments have emerged in the domains of Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR). In this work we present our development of five AR and MR enhanced simulations to support instruction in a second semester introductory physics course covering electricity and magnetism. The simulations were designed to support student learning by leveraging the improved visualization, interactivity, and immersion opportunities these technologies afford. We present preliminary versions of our simulations developed for iOS and Android smartphones, Microsoft HoloLens devices, and traditional PCs. Mixed sets of these devices can share synchronized simulations anchored to common spatial locations, and participants are able to work together in person or remotely.

Cross-Platform Interactive Simulations for Introductory Physics

When the pandemic forced most of us online, many teachers made use of their college’s Learning Management System. However, I have always found such systems to be slow and laggy, requiring way too many steps to update, and thus almost unusable to my ADHD brain. It was even more challenging during my wandering adjunct days when I might be teaching at multiple schools with their own systems and setups. Fortunately, I have dabbled in web development and was able to come up with an alternative. In this presentation I will describe some of the tools and practices I have created to replace the LMS with something more efficient for myself and my students alike.

Using the PhysPort Data Explorer to analyze research-based assessment results

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