62 research outputs found

    Interactions between teaching assistants and students boost engagement in physics labs

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    Through in-class observations of teaching assistants (TAs) and students in the lab sections of a large introductory physics course, we study which TA behaviors can be used to predict student engagement and, in turn, how this engagement relates to learning. For the TAs, we record data to determine how they adhere to and deliver the lesson plan and how they interact with students during the lab. For the students, we use observations to record the level of student engagement and pre- and post-tests of lab skills to measure learning. We find that the frequency of TA-student interactions, especially those initiated by the TAs, is a positive and significant predictor of student engagement. Interestingly, the length of interactions is not significantly correlated with student engagement. In addition, we find that student engagement was a better predictor of post-test performance than pre-test scores. These results shed light on the manner in which students learn how to conduct inquiry and suggest that, by proactively engaging students, TAs may have a positive effect on student engagement, and therefore learning, in the lab.Comment: 27 pages, 8 figures. v2: Revised for clarity and concision. Version accepted to Physical Review Special Topics - Physics Education Researc

    Faculty and Student Partnerships in the Scholarship of Teaching and Learning: Evaluation of an Institutional Model

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    We present the design and evaluation of an institutional support model for the Scholarship of Teaching and Learning (SoTL): the SoTL Seed Program. In this model, faculty from across disciplines partner with graduate students with expertise in educational and social science methodologies to implement SoTL investigations. We interviewed and obtained feedback from both faculty and graduate students about their experiences. A qualitative approach based on grounded theory suggests that organized and sustained partnership between faculty and graduate students offers a viable institutional framework to support SoTL across academic disciplines. In our institution, partnerships in SoTL have resulted in facilitating academic and professional development for both faculty and graduate students, establishing communities of practice for SoTL, and providing infrastructure for systematic engagement with SoTL.

    ComPAIR: A new online tool using adaptive comparative judgement to support learning with peer feedback

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    Peer feedback is a useful strategy in teaching and learning, but its effectiveness particularly in introductory courses can be limited by the relative newness of students to both the body of knowledge upon which they are being asked to provide feedback and the skill set involved in providing good feedback. This paper applies a novel approach to facilitating novice feedback: making use of studentsā€™ inherent ability to compare. The ComPAIR application discussed in this article scaffolds peer feedback through comparisons, asking students to choose the ā€œbetterā€ of two answers in a series of pairings offered in an engaging online context. In contrast to other peer-feedback approaches that seek to train novices to be able to provide expert feedback (such as calibrated peer review) or to crowdsource grading, ComPAIR focuses upon the benefits to be gained from the critical process of comparison and ranking. The tool design is based on the longstanding psychological principle of comparative judgement, by which novices who may not yet have the compass to assess othersā€™ work confidently can still rank content as ā€œbetterā€ with accuracy. Data from 168 students in pilot studies in English, Physics and Math courses at the University of British Columbia are reviewed. Though the use of ComPAIR required little classroom time, students perceived this approach to increase their facility with course content, their ability assess their own work, and their capacity to provide feedback on the work of others in a collaborative learning environment

    Brain volumetric changes in the general population following the COVID-19 outbreak and lockdown

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    The coronavirus disease 2019 (COVID-19) outbreak introduced unprecedented health-risks, as well as pressure on the economy, society, and psychological well-being due to the response to the outbreak. In a preregistered study, we hypothesized that the intense experience of the outbreak potentially induced stress-related brain modifications in the healthy population, not infected with the virus. We examined volumetric changes in 50 participants who underwent MRI scans before and after the COVID-19 outbreak and lockdown in Israel. Their scans were compared with those of 50 control participants who were scanned twice prior to the pandemic. Following COVID-19 outbreak and lockdown, the test group participants uniquely showed volumetric increases in bilateral amygdalae, putamen, and the anterior temporal cortices. Changes in the amygdalae diminished as time elapsed from lockdown relief, suggesting that the intense experience associated with the pandemic induced transient volumetric changes in brain regions commonly associated with stress and anxiety. The current work utilizes a rare opportunity for real-life natural experiment, showing evidence for brain plasticity following the COVID-19 global pandemic. These findings have broad implications, relevant both for the scientific community as well as the general public

    Prior math achievement and inventive production predict learning from productive failure

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    Abstract A frequent concern about constructivist instruction is that it works well, mainly for students with higher domain knowledge. We present findings from a set of two quasi-experimental pretest-intervention-posttest studies investigating the relationship between prior math achievement and learning in the context of a specific type of constructivist instruction, Productive Failure. Students from two Singapore public schools with significantly different prior math achievement profiles were asked to design solutions to complex problems prior to receiving instruction on the targeted concepts. Process results revealed that students who were significantly dissimilar in prior math achievement seemed to be strikingly similar in terms of their inventive production, that is, the variety of solutions they were able to design. Interestingly, it was inventive production that had a stronger association with learning from PF than pre-existing differences in math achievement. These findings, consistent across both topics, demonstrate the value of engaging students in opportunities for inventive production while learning math, regardless of prior math achievement
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