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In our algebra-based introductory physics sequence, we have had exams consisting of multiple choice questions and traditional math problems. The multiple choice questions were more conceptual in nature and would come at the beginning of our exams. Then we would have all of the math problems. Unfortunately, a single multiple choice question that potentially covers a number of topics at an arbitrary level of difficulty doesn’t allow an instructor to determine a student’s level of understanding of any single topic. To better assess students’ levels of understanding, we designed sets of questions and problems with increasing difficulty, as defined by Bloom’s Taxonomy. This new way of structuring exams benefited the instructor in documenting levels of student understanding. It also allowed weaker students to show mastery at some level and possibly boost their confidence with the more challenging questions. In general, the students have rated this new assessment positively.

AAPT WM 21

Using Bloom’s Taxonomy to Develop New Assessments

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Often the skills required to use the Unix/Linux command line are perceived as old-fashioned, difficult to learn, and unnecessary. However, the Linux command line is an extraordinarily flexible environment for programming, data reduction and analysis, simulation, and visualization, and is thus in wide use throughout the physics research community and beyond. These skills are surprisingly accessible to students. In this talk, I will argue that the command-line environment is a pedagogically beneficial environment for students to learn computational physics, with advantages both within the classroom and beyond it, and demonstrate some of the tools and methods the computational physics students at Syracuse use for simulation, visualization, animation, and data analysis.

The Friendly Command Line

There is a good deal of focus on recruiting underrepresented students to study physics at the collegiate level, but a lack of focus on how to make sure they are being recruited into a welcoming and safe environment that values their identity. Because of this, underrepresented students tend to feel a disconnect from the physics community and are more likely to drop out or switch majors. One potential method of combating this issue is increasing the peer networks of these students through informal outreach programs, which give students a sense of purpose, belonging, and confidence in physics. This systematic literature review synthesizes studies on the effects of informal STEM programs on the facilitators and identifies gaps in this research as it pertains to underrepresented students.&nbsp;

Retaining Underrepresented Students through Outreach Programs: A Systematic Literature Review

One of two complementary panels dedicated to raising awareness about improving the accessibility of undergraduate physics laboratory courses. In this panel, former physical science students talk about their previous experiences in physics and other science labs, and they make suggestions for improving accessibility of labs.] Physics labs are an exciting opportunity to teach and learn about physics by collaboratively planning, building, and carrying out experiments and interacting with advanced phenomena, apparatus, and software. Students, staff, and faculty with disabilities deserve full access to these learning environments, and it is everyone’s responsibility to recognize and mitigate the specific barriers to participation posed by space, technology, and pedagogical constraints that are unique to labs. To that end (and with support from an AAPT Special Projects Grant), the AAPT Committee on Laboratories assembled a task force whose charge is to issue an open call for increased investment in accessible physics labs.

Making Physics Labs More Accessible: Perspectives

After presentin therical evolution and basic entities starting with the qubit&nbsp; it goes to a simple practical demonstartion using common components (magnets atraction and repulsion) the six qubit states. Completing these ideas finalizes with a quantum teleportation of one

The qubit and quantum computing- A simulation in the classroom

Is there a crysis in Cosmology?

We encounter variables with little variation often in PER due to the demographics of physics and the questions we ask. For example, in course completion studies, most students will earn high enough grades to pass the course. Yet, little work has examined how to analyze such data. Therefore, we conducted a simulation study using logistic regression, penalized regression, and random forest. We systematically varied the fraction of positive outcomes, feature imbalances, and odds ratios. We find the algorithms treat features with the same odds ratios differently based on their imbalance and the outcome imbalance. While none of the algorithms solved the problem, some reduced the scale of the problem. Our results suggest that PER studies may contain false negatives when determining which variables are related to an outcome. We propose recommendations for researchers and then illustrate these by predicting which applicants will be admitted to a graduate physics program.

Addressing Rare Outcomes in PER Quantitative Studies

While efforts have been made in undergraduate science content courses to specifically support pre-service elementary teachers’ skills, knowledge, and pedagogical disciplinary knowledge of experimental design, much of this work predates the Next Generation Science Standards (NGSS). To date, few, if any, assessment instruments are well correlated with the NGSS practice Planning and Carrying Out Investigations (PCOI). To meet this need, a team including four faculty members from physics, a social scientist, and a science education faculty member developed an appropriate instrument for measuring students’ knowledge of PCOI and, particularly important to pre-service teachers, their students’ pedagogical disciplinary knowledge of this practice. The instrument was developed by mapping items to relevant PCOI sub-practices at the elementary grade level, since it was developed for pre-service elementary STEM teachers. In this presentation, we describe the process of developing items in preparation for validation of the instrument.

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Using Bloom’s Taxonomy to Develop New Assessments

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