Professors' and students' conceptualizations of the learning task in introductory physics courses

The lack of diversity and the under-performance of underrepresented students in STEM courses have been the focus of researchers in the last decade. In particular, many hypotheses have been put forth for the reasons for the under-representation and under-performance of women in physics. Here, we present a framework for helping all students learn in science courses that takes into account four factors: (1) the characteristics of instruction and learning tools, (2) student characteristics, (3) implementation of instruction and learning tools, and (4) the students’ environments. While there has been much research on factor 1 (characteristics of instruction and learning tools), there has been less focus on factor 2 (students’ characteristics, and in particular, motivational factors). Here, we focus on the baseline characteristics of introductory physics students obtained from survey data to inform factor 2 of the framework. A longitudinal analysis of students’ motivational characteristics in two-semester introductory physics courses was performed by administering pre- and post-surveys that evaluated students’ self-efficacy, grit, fascination with physics, value associated with physics, intelligence mindset, and physics epistemology. We found that female students reported lower levels of self-efficacy, fascination, and value associated with physics, and held a more “fixed” view of intelligence in the context of physics compared to male students. Female students’ fascination and value associated with physics decreased significantly more than males’ after an introductory physics course sequence. In addition, females’ view of physics intelligence became more “fixed” compared to males’ by the end of an introductory physics course sequence. Grit was the only factor on which females reported averages that were equal to or higher than males throughout introductory physics courses. The findings inform the framework and have implications for the development and implementation of effective pedagogies and learning tools to help all students learn.

Written quiz responses of 653 students in three separate courses are analyzed in detail. There has been relatively little research on student learning of thermodynamics in physics courses at the university level. A recent study by Loverude et al. has made it evident that students at the introductory level (and beyond) face many significant difficulties in learning fundamental thermodynamic concepts such as the first law of thermodynamics. I have been engaged in an ongoing project with T. J. Greenbowe to investigate student learning of thermodynamics in both physics and chemistry courses. As part of that investigation, a short diagnostic quiz has been administered over the past two years in the calculus-based introductory physics course at Iowa State University (ISU). This quiz focuses on heat, work, and the first law of thermodynamics. At ISU, thermodynamics is studied at the end of the second semester of the twosemester sequence in calculus-based introductory general physics. This course is taught in a traditional manner, with large lecture classes (up to 250 students), weekly recitation sections (about 25 students), and weekly labs taught by graduate students. Homework is assigned and graded every week. Thermal physics comprises 18-20% of the course coverage, and includes a wide variety of topics such as calorimetry, heat conduction, kinetic theory, laws of thermodynamics, heat engines, entropy, etc. The diagnostic quiz used in this study is shown below; it has been administered in three separate classes. The version shown here was administered in May 2001; the other two versions (December 1999 and December 2000) had very minor variations from the one shown here. (There were one or two additional questions on these quizzes which are not discussed here.) The 1999 and 2000 classes were taught by the same instructor, using a different textbook in each course. The 2001 course was taught by a different instructor, using the same text that was employed in the 1999 course. Both instructors are very experienced and have taught introductory physics at ISU for many years. The quiz was administered in two different ways: in 1999 and 2001, it was given as a practice quiz in the final recitation session (last week of class). In almost all cases it was ungraded; one instructor used it as a graded quiz. In 2000 the quiz was administered as an ungraded practice quiz in the very last lecture class of the year. This p-V diagram represents a system consisting of a fixed amount of ideal gas that undergoes two different processes in going from state A to state B:

In this study we conduct an integrated assessment of first-year performance in introductory calculus and physics courses. We use well-accepted conceptual assessment instruments, initial state data such as the SAT, and our own recently developed instruments designed to measure aptitude in mathematics to develop a predictive model for student performance. The analyzed population was composed of undergraduate students at Clarkson University, cross-enrolled in the calculus-based introductory physics course and the introductory calculus course from 2004 to 2007. Both the mathematics and physics classes are large-enrollment, lecture-based courses. By analyzing the combined data sets, we found the expected strong correlation between performance (final grade) in the mathematics course and performance in the physics course. We analyze not only the predictive nature of the collected data, but also the impact of the various corrective measures on final grade. This analysis contributes to an integrated evaluation of the current programs which could lead to an assessment-based initiative to offer strategic guidance to incoming students, better placing them for academic and career success in their selected STEM disciplines.

Student-to-student interactions are foundational to many active learning environments, but are most often studied using qualitative methods. Network analysis tools provide a quantitative complement to this picture, allowing researchers to describe the social interactions of whole classrooms as systems. Past results from introductory physics courses have suggested a sharp division in the formation of social structure between large lecture sections and small studio classroom environments. Extending those results, this study focuses on calculus-based introductory physics courses at a large public university with a heavily commuter and nontraditional student population. Community detection network methods are used to characterize pre- and post-course collaborative structure in several sections, and differences are considered between small and large classes. These results are compared with expectations from earlier findings, and comment on implications for instruction and further study.

Students’ genuine understanding (conceptual and operational) of physics is the goal of the majority of physics educators, who agree that the introductory physics course should possess the following features: reflect the currently adopted understanding of nature (the state in the subject matter), employ scientific method (philosophy of science) and expose it to the learner, and reflect our current understanding of the learning process taking place (research in physics education). We bring here two examples of suggested changes, the result of research in physics education, geared to improve the content of the introductory physics course in accordance with the above mentioned principles. More detailed information is available in the quoted publications.

This study investigates how the beliefs and values of physics faculty influence their choice of physics problems for their students in an introductory physics course. The study identifies the goals these instructors have for their students, the problem features they believe facilitate those goals, and how those features correspond to problems they choose to use in their classes. This analysis comes from an artifact-based interview of 30 physics faculty teaching introductory calculus-based physics at a wide variety of institutions. The study concludes that instructors' goals and the problem features they believe support those goals align with research-based curricular materials intended to develop competent problem solvers. However, many of these instructors do not use the beneficial problem features because they believe these features conflict with a more powerful set of values concerned with clarity of presentation and minimizing student stress, especially on exams.

Taking notes during lectures is one of the required skills, among many others, that students need (i) to master the topic covered in the lecture, (ii) to actively engage in the learning process with minimal to no distractions, (iii) to retain learned knowledge and skills for a longer time, and (iv) in securing higher letter grades. To learn the role of notetaking in learning undergraduate-level introductory physics courses, we present a comparative study of students’ achievement in a mid-terminal exam at a historically black Fayetteville State University (FSU) (i) when students were taught effective notetaking strategies, motivated them to prepare notes and let them use their self-prepared notes in a terminal exam versus (ii) no notetaking scheme was implemented, keeping all other conditions the same. The no-notetaking scheme was used in 4 different sections over a few semesters, and the notetaking scheme was used at the same level of an introductory physics course in 3 different sections in other semesters. Students’ scores in one of the mid-term exams are taken as measurement tools. Grade analysis indicates that effective notetaking enhances students’ letter grades and lowers failure rates.

We compared students' self-reported perception of learning with their actual learning under controlled conditions in large-enrollment introductory college physics courses taught using 1) active instruction (following best practices in the discipline) and 2) passive instruction (lectures by experienced and highly rated instructors). Both groups received identical class content and handouts, students were randomly assigned, and the instructor made no effort to persuade students of the benefit of either method. Students in active classrooms learned more (as would be expected based on prior research), but their perception of learning, while positive, was lower than that of their peers in passive environments. This suggests that attempts to evaluate instruction based on students' perceptions of learning could inadvertently promote inferior (passive) pedagogical methods. For instance, a superstar lecturer could create such a positive feeling of learning that students would choose those lectures over active learning. Most importantly, these results suggest that when students experience the increased cognitive effort associated with active learning, they initially take that effort to signify poorer learning. That disconnect may have a detrimental effect on students' motivation, engagement, and ability to self-regulate their own learning. Although students can, on their own, discover the increased value of being actively engaged during a semester-long course, their learning may be impaired during the initial part of the course. We discuss strategies that instructors can use, early in the semester, to improve students' response to being actively engaged in the classroom.

Students’ learning performance and its correlation with exam scores are examined using a unique factor: the day the online quiz was submitted. By collecting information on quizzes through an online learning management system for each subject in an introductory physics course for first-grade medical students, student learning performance is thoroughly analysed and compared with the final exam score. The results show a statistically significant negative correlation between the exam score and quiz submission day. Furthermore, by combining several parameters that are potentially related to the exam score, we are able to evaluate the student’s learning attitude in more detail. Based on the results, we discuss the negative effects of procrastinating behaviour and successful learning practices.

Tests of formal operational reasoning and mathematics knowledge have been correlated with performance measures in introductory physics courses. A score based on collected homework was also used in our analyses in an attempt to control for the confounding effects of study effort. Course totals were broken down into separate scores for performance on test problems and performance on conceptual questions. A multiple-regression analysis indicates that the test of formal operational reasoning is a stronger predictor of course performance than the mathematics pre-test, particularly for the conceptual portion of the course totals. Possible reasons for failure in some studies to find significant correlations of course performance with measures of formal reasoning are discussed.

Since 1983, the Maryland University Project in Physics and Educational Technology (M.U.P.P.E.T.) has been investigating the implication of including student programming in an introductory physics course for physics majors. Many significant changes can result. One can rearrange some content to be more physically appropriate, include more realistic problems, and introduce some contemporary topics. One can begin training the student in professional research-related skills at an earlier stage than is traditional. An interesting point to note is that the inclusion of carefully considered computer content requires an increased emphasis on qualitative and analytic thinking.

Notes on Contributors

Since Fall 2019 we have been reforming both our algebra and calculus-based introductory physics courses with the Investigative Science Learning Environment (ISLE) approach. As expected, each academic year, students are initially resistant to the approach. In this talk we will discuss specifics of the resistance to ISLE expressed by students in our calculus based introductory physics course and the quantitative effects of "pep talks" and institutional change sessions. We will also explore possible improvements to our implementation of the ISLE approach to mitigate resistance particularly from students who have already encountered non-ISLE physics.

We reflect on the transition of our Technology Enabled Active Learning (TEAL) introductory physics courses – large-scale, general requirements – from fully in-person to fully remote during the Spring ’20, Fall ’20, and Spring ’21 semesters. First, we discuss the resources and tools we leveraged and consider their impacts on our course design; key resources included existing interactive content from parallel MOOC courses, randomized online formula response assessments, and video/audio/board collaboration tools. Next, we describe how the fully remote mode informed our structural changes to the course, such as increasing active engagement during class, lowering the stakes of graded components, and promoting group work and community. In addition, we catalog the modifications made to the workflows and collaboration strategies employed by our team of instructors, TAs, and course developers. Finally, wherever possible, we evaluate the impact of these many modifications to our performance as a team, the student experience in the course, and the instruction and learning achieved.

A survey of pre/post-test data using the Halloun–Hestenes Mechanics Diagnostic test or more recent Force Concept Inventory is reported for 62 introductory physics courses enrolling a total number of students N=6542. A consistent analysis over diverse student populations in high schools, colleges, and universities is obtained if a rough measure of the average effectiveness of a course in promoting conceptual understanding is taken to be the average normalized gain 〈g〉. The latter is defined as the ratio of the actual average gain (%〈post〉−%〈pre〉) to the maximum possible average gain (100−%〈pre〉). Fourteen “traditional” (T) courses (N=2084) which made little or no use of interactive-engagement (IE) methods achieved an average gain 〈g〉T-ave=0.23±0.04 (std dev). In sharp contrast, 48 courses (N=4458) which made substantial use of IE methods achieved an average gain 〈g〉IE-ave=0.48±0.14 (std dev), almost two standard deviations of 〈g〉IE-ave above that of the traditional courses. Results for 30 (N=3259) of the above 62 courses on the problem-solving Mechanics Baseline test of Hestenes–Wells imply that IE strategies enhance problem-solving ability. The conceptual and problem-solving test results strongly suggest that the classroom use of IE methods can increase mechanics-course effectiveness well beyond that obtained in traditional practice.