Unlike other STEM (Science, Technology, Engineering, Mathematics) disciplines, program guidelines for undergraduate physiology degree programs have yet to be firmly established. The purpose of this study was to examine the use of physiology core concepts within undergraduate physiology curricula to discern whether a common subset could be broadly recommended for inclusion in programmatic guidelines. A curricular survey tool was developed to evaluate the depth to which each core concept was included in physiology curricula. Seven self-selected physiology programs assessed core concept inclusion across all courses within the major (0 = not covered, 1 = minimally covered, and 2 = covered to a great extent). The top core concepts ranked by each institution varied considerably, but all were robustly represented across programs. The top five combined rankings for all institutions were as follows: 1) interdependence (1.47 ± 0.63); 2) structure/function (1.46 ± 0.72); 3) homeostasis (1.45 ± 0.71); 4) scientific reasoning (1.44 ± 0.70); and 5) cell-cell communication (1.38 ± 0.75). No common subset of specific core concepts was evident among the seven participating institutions. Next, results were compared with recent Physiology Majors Interest Group (P-MIG) faculty and student surveys that ascertained perceptions of the top five most important core concepts. Three core concepts (homeostasis, structure/function, cell-cell communication) appeared in the top five in more than one-half of survey questions included. We recommend that future programmatic guidelines focus on inclusion of the core concepts of physiology as general models to scaffold learning in physiology curricula, but the programmatic guidelines should allow flexibility in the core concepts emphasized based on program objectives.

The aim of the 2019 Student Survey was to inform the Physiology Majors Interest Group (P-MIG) of characteristics of undergraduates enrolled in physiology courses or degree programs from across the United States, to be used as one input source for the development of program-level guidelines. There were 1,389 participants from seven universities who completed the 2019 P-MIG Student Survey. Thirty-seven percent reported enrollment in a physiology/human physiology major; allied health-related programs were the second most common (24%). Sixty-one percent of respondents reported attending a community college, the majority of whom enrolled in one or more courses at a community college while in high school (44%). Of participants who reported transferring coursework from one institution to another, 72% reported coursework transferred as expected. Homeostasis and structure/function were the two core concepts common to the top rankings for self-reported mastery, the expectation to be remembered in 5 yr, and deemed to be career relevant. Survey respondents indicated high engagement in co-curricular activities, with 72% participating or planning to participate in job shadowing opportunities, followed by volunteering (57%) and internships (50%). Over one-half of all survey participants indicated they “strongly agree” that their coursework and undergraduate programming has prepared them for success in their field of study. While the majority of respondents were satisfied with the academic advising received, additional guidance with regard to career choices and non-coursework professional development opportunities may be beneficial. Taken together, the collective data provides information from current physiology students that may inform development of consensus guidelines regarding curriculum, professional skills, and advising for undergraduate physiology degree programs.

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Although information has been used as a strategy to influence short-term travel behavior, there is a paucity of research on whether information can result in long-term behavioral changes. To examine the impact of providing information on location choices and travel behaviors we used an experimental design with a sample of incoming students at two area universities. Information was administered to individuals in the experimental group before they selected a residential location in the area. With a survey, we collected information on residential locations and travel behaviors from all participants six months after the intervention. Students in the intervention group from one university traveled between 50% and 68% fewer km/day by automobile, located closer to the university, and located in areas with more transit stops than students in the control group. Information appears to be a promising strategy for influencing location decisions and prompting travel behavior change.