268 research outputs found
Dimension-Five Operators in Grand Unified Theories
Extensions of the standard model with low-energy supersymmetry generically
allow baryon- and lepton-number violating operators of dimension four and five,
yielding rapid proton decay. The dimension-four operators are usually forbidden
by matter parity. We investigate to what extent the appearance of
dimension-five operators at the Planck scale may be constrained by the
different grand-unified gauge groups. Dimension-five operators are suppressed
in models based on E_6 and SU(3)_C x SU(3)_L x SU(3)_R, where four matter
fields do not form a gauge singlet. An intermediate scale offers the
possibility to sufficiently suppress these dimension-five operators.Comment: 4 pages, v3: version to appear in PR
Fluctuations in Student Understanding of Newton's 3rd Law
We present data from a between-student study on student response to questions
on Newton's Third Law given throughout the academic year. The study, conducted
at Rochester Institute of Technology, involved students from the first and
third of a three-quarter sequence. Construction of a response curve reveals
subtle dynamics in student learning not captured by simple pre/post testing. We
find a a significant positive effect from direct instruction, peaking at the
end of instruction on forces, that diminishes by the end of the quarter. Two
quarters later, in physics III, a significant dip in correct response occurs
when instruction changes from the vector quantities of electric forces and
fields to the scalar quantity of electric potential. Student response rebounds
to its initial values, however, once instruction returns to the vector-based
topics involving magnetic fields.Comment: Proceedings of the 2010 Physics Education Research Conferenc
Qualitative Measures of Equity in Small Groups
We investigate the utility of two qualitative measures of equity. Our data
are videos of groups of first-generation and Deaf or hard-of-hearing students
in a pre-matriculation university program designed to help them persist in STEM
fields by developing their metacognitive practices. We analyze video data of
students in small groups trying to accomplish various tasks. We analyze how
groups engage with proposed ideas (inchargeness) and create a space of open
sharing (civility). By capturing different aspects of each group, these
measures combine to help our understanding of what an equitable group could
look like.Comment: Accepted to International Conference of the Learning Sciences (ICLS)
201
Using Social Network Analysis on classroom video data
We propose a novel application of Social Network Analysis (SNA) using
classroom video data as a means of quantitatively and visually exploring the
collaborations between students. The context for our study was a summer program
that works with first generation students and deaf/hard-of-hearing students to
engage in authentic science practice and develop a supportive community. We
applied SNA to data from one activity during the two-week program to test our
approach and as a means to begin to assess whether the goals of the program are
being met. We used SNA to identify groups that were interacting in unexpected
ways and then to highlight how individuals were contributing to the overall
group behavior. We plan to expand our new use of SNA to video data on a larger
scale
Emerging Physics Education Researchers' Growth in Professional Agency: Case Study
Improving the physics enterprise to broaden participation in physics is one
of the main goals of the physics education research community. Many classically
trained physics faculty transition during their faculty career into engaging in
research investigating the teaching and learning of their discipline. There is
scarce research on the support and needs of these faculty as they engage in
their first projects in this new research field for them. We investigate agency
growth of two emerging physics education researchers and one emerging
mathematics education researcher as they participate in a professional
development program. We ground our case study analysis of interview data in a
theoretical framework on agency. We identify the elements of the professional
development program that were transformative in our case study participants'
trajectory in education research. Receiving get-started information, building
mechanisms to sustain research projects and engaging with a supportive
community help participants transform general interests to specific questions,
articulate concrete next-steps and increase their sense of self-efficacy.
During this professional development program all three case study participants
gain agency in this new area of research for them. These identified program
elements that affect agency growth can inform professional development
opportunities for faculty transitioning into discipline-based education
research, which expands our understanding of how to build capacity in the
field.Comment: Submitted to PhysRevPE
User-Friendly Multimedia Authoring with Pachyderm
This session will focus on the products and process of using the open-source Pachyderm authoring tool to produce interactive multimedia presentations. Presenters from the library, museum and developer communities will present Pachyderm projects, discuss the training process and learning curve and demonstrate a new, feature rich version of the authoring software. The session will conclude with a Q&A session and audience discussion
Traditionally taught students learn; actively engaged students remember
A common narrative in physics education research is that students taught in lecture-based classes learn less than those taught with activity-based reformed methods. We show this narrative is simplistic and misses important dynamics of student learning. In particular, we find students of both methods show equal short-term learning gains on a conceptual question dealing with electric potential. For traditionally taught students, this learning rapidly decays on a time scale of weeks, vanishing by the time of the typical end-of-term post-test. For students in reform-based classes, however, the knowledge is retained and may even be enhanced by subsequent instruction. This difference
explains the many previous pre- and post-test studies that have found minimal learning gains in lecture-based courses. Our findings suggest a more nuanced model of student learning, one that is sensitive to time-dependent effects such as forgetting and interference. In addition, the findings suggest that lecture-based courses, by incorporating aspects designed to reinforce student understanding of previously covered topics, might approach the long-term learning found in research-based pedagogies
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