United States

Physics education is facing challenges in terms of ensuring student engagement with physics. This can be due to the techno-centric approach in physics education when little or no attention is devoted to exploring the relationship between physics concepts and human needs. To change this may require that in addition to examining questions of “what” and “how” required for developing skills in abstract problem-solving, we may also need to leverage a techno-centric approach to teaching physics curriculum to enhance student engagement with physics by helping them to understand the “why” that inspires STEM undergraduates to learn physics. The essence of the socio-technical approach to physics education is based on contextualizing physics in real-world applications that reveals impact of physics on human and humanity. We will discuss the results the connection between Physics Innovation and Entrepreneurship computational and laboratory skillset that can offer an enhanced model for teaching physics.

AAPT SM21

Fostering synergy among mindset and skillset

entrepreneurial mindset

paradigm change

innovation

Join AAPT and Physics Educators worldwide in developing and strengthening your professional connections by attending the 2021 AAPT Virtual Summer Meeting. 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. Attending the virtual summer meeting is an excellent opportunity to share your expertise and learn from and network with leaders in the field.

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IWSSIP is an international conference that brings together researchers and developers from both academia and industry reporting the latest scientific and theoretical advances to discuss and debate major issues and state-of-the-art aspects on systems, signals and image processing.

###### For the session discussion, each author will be seated at individual breakout tables.  Please find which table they will be at here:
###### [QA table assignments in Gather.town](https://drive.google.com/file/d/1hBHOD_KF7NSsaTcpYcHCZslXJvQVxJQe/view?usp=sharing)

IWSSIP 2021

technical paper

We analyse a session where high school students in a 2-day science camp were asked to explain the workings of a mercury barometer. The session was designed to provide students with opportunities to participate in the knowledge construction process. The pedagogy was inspired by literature on modelling practices and sense making in physics. Given that traditional classrooms in India (and elsewhere) are often dominated by the lecture format, it is important to investigate the tensions that arise when the students from a traditional physics classroom are asked to
engage with modeling and sensemaking. We analysed the video recording of the session to unpack these tensions and characterised them under four broad categories vis a vis: Instructor versus student agency; Answer-making versus sense-making; Qualitative reasoning versus mathematisation; and Substance versus process ontology. Our analysis shows how the flow of conversation was guided by the push and pull of these entangled tensions.

Unpacking tensions in a pedagogical transition from lectures to modelling

We report on an investigation in which we compare the conceptual performance of upper-level undergraduates and graduate students, who worked on two different validated Quantum Interactive Learning Tutorials (QuILTs). One of the QuILTs incorporates mathematical reasoning while focusing on helping students develop a good conceptual understanding of quantum optics using a Mach-Zehnder Interferometer with single photons and polarizers. Performance of students who engaged with this “hybrid” (integrated conceptual and quantitative) QuILT is compared with those who engaged with a conceptual QuILT focusing on the same topics without quantitative tools. Both QuILTs use a guided inquiry-based approach to learning and are based on research on student difficulties in learning these challenging concepts as well as a cognitive task analysis from an expert perspective. We find that the posttest performance on conceptual questions of physics graduate students who engaged with the hybrid QuILT was generally better than those who engaged with the conceptual QuILT. For undergraduate students, the results were mixed.

Impact of mathematical rigor on students’ understanding of quantum optics

The Conceptual Survey of Electricity and Magnetism (CSEM) is a multiple-choice survey that contains a variety of electricity and magnetism concepts at the level of introductory physics used to help inform instructors of student mastery of those concepts. Prior studies suggest that many concepts on the survey are challenging for introductory physics students and the average student scores after traditional instruction are low. The research presented here compares the performance of students in introductory, upper-level, and graduate-level physics courses on five CSEM questions to understand the cross-sectional evolution of student understanding of these concepts from the introductory to upper-level to graduate-level. We discuss five CSEM questions that remain challenging for many upper-level and graduate students.

Evolution in student conceptual understanding of electricity and magnetism

The solving of physics problems is often an important component of introductory physics courses. For many students, approaching a physics problem, organizing their thoughts, and reaching a solution is a novel skill which needs to be taught and mastered. Rubrics can be powerful tools to guide student development of new skills. Here we will discuss the development of problem solving rubric we have implemented in our large enrollment introductory physics course. We will discuss the particular challenges and advantages of using these rubrics in an online course. Finally, we will then discuss the extent to which these rubrics were successful in changing student behavior over the course of two semesters of instruction.

Rubrics to Teach Problem-Solving Strategies in Large Enrollment Online Courses

Selection and application of an appropriate equation is a key step in instructional problem-solving strategies. But what if one cannot exactly recall the relevant equation? We are currently investigating how coherence between physical and mathematical reasoning opens multiple solution pathways for qualitative physics problems. In one-on-one interviews, community college students, 4-year college undergraduates, and graduate students solved qualitative introductory-level E&M questions. Analysis of 18 interviews showed that while many students had initial difficulty in recalling a relevant equation, they demonstrated strategies for making progress. We present two cases from the data corpus. One interviewee was unsure whether the time constant for an RC circuit is RC or 1/(RC) and sought coherence with qualitative reasoning to determine the correct expression. Another student switched to reasoning qualitatively from a physical model after noting that they could not recall a relevant equation. These examples show how mathematical and physical reasoning is opportunistically incorporated in students’ problem solving.

Seeking coherence and switching reasoning after forgetting an equation

The entanglement between physical and mathematical reasoning can be exploited for problem solving, making physical/mathematical coherence seeking a desirable learning goal. We endeavor to enrich the empirical knowledge of students’ coherent physical/mathematical reasoning through a video analysis of problem solving. Drawing from a corpus of 18 interviews with students solving qualitative E&M problems, we discuss a case study of a student who undertakes multiple contradicting lines of reasoning and ultimately reconciles them. We discuss the types of coherent reasoning that they recruit and the central role of physical/mathematical coherence seeking in their problem solving and learning.

Resolving Inconsistencies in E&M by Seeking Coherence Between Physical/Mathematical Reasoning

We discuss an investigation of student difficulties with the representation in which a Hermitian operator corresponding to a physical observable (e.g., the Hamiltonian operator corresponding to energy) is diagonal in the context of degenerate perturbation theory involving the Zeeman effect in the hydrogen atom. This investigation was carried out in advanced quantum mechanics courses by administering written free-response and multiple-choice questions and conducting individual interviews with students. We discuss the common student difficulties related to these concepts, knowledge of which can be useful for developing research-validated learning tools.

Student difficulties identifying diagonal operators for degenerate perturbation theory

In this study, we surveyed students from a calculus-based and an algebra-based introductory physics courses at a liberal arts college about their ability to draw conclusions from measurement data. Both courses are taught in studio mode and use the Workshop Physics curriculum. The survey was administered online before and after instruction on measurement uncertainty. In the survey, students considered two experiments that differ only by one setup. Students were first asked to make predictions about the experimental outcomes as to whether or not the outcomes agree with each other, and then were given data to analyze and draw conclusions. We evaluate the extent to which instruction impacts student ability to draw conclusions as well as reasoning about measurement uncertainty. We use the framework of point and set paradigms to characterize student reasoning. The set paradigm emphasizes a measurement distribution rather than a single measurement; it is considered more expert-like.

Evaluating student ability to draw conclusions from measurement data

In study of synthesis problem solving, we distinguished two types of synthesis tasks: sequential and simultaneous. To capture their distinctive characteristics and differing impacts on problem solvers’ sensemaking behaviors, we investigated students’ gaze transitions between problem text and diagram as well as between different components within a diagram. Our work is underpinned by the cognitive theory of multi-media learning; that is, greater gaze transitions indicate greater mental efforts in information integration. We found that when multiple events were integrated sequentially, students made great cognitive efforts to connect information within a diagram. When events occurred simultaneously, students’ mental efforts focused mainly on linking text and diagram. Regardless, in both cases students sought to connect information for comprehending the problem situation, which is a core of effective problem solving and deep learning. We maintain that synthesis tasks can support student development of expert-like habits of mind.

Pedagogical implications of synthesis problem solving

We have administered diagnostic tests covering pre-college mathematics to over 6700 introductory physics students at four state universities, with largely consistent results. Key findings include: (1) Use of symbols to replace numbers in otherwise identical algebraic equations significantly lowered correct-response rates, implying that instructors may want to be more cautious when employing symbolic manipulations; (2) Few physics students solved algebraic equations by “isolating the unknown variable,” implying that instructors’ standard and habitual approach to algebraic manipulation may appear confusing, and should be modified or better scaffolded; (3) Class-average scores on even a single diagnostic test item were highly predictive of average scores on other items covering varied topics, suggesting it may be possible to diagnose the level of students’ difficulties with very few pretest items; (4) During interviews, students tended to self-correct approximately 60% of their initial errors, suggesting that instruction on self-checking strategies may offer disproportionately high returns.

Fostering synergy among mindset and skillset

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