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Institution

Diablo Valley College

EducationPleasant Hill, California, United States
About: Diablo Valley College is a education organization based out in Pleasant Hill, California, United States. It is known for research contribution in the topics: Metrology & Cyclotomic field. The organization has 43 authors who have published 52 publications receiving 444 citations. The organization is also known as: DVC.


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Journal ArticleDOI
Melinda T. Owens1, Shannon B. Seidel2, Mike Wong1, Travis E. Bejines2, Susanne Lietz1, Joseph R. Perez2, Shangheng Sit1, Zahur-Saleh Subedar1, Gigi N. Acker3, Gigi N. Acker4, Susan F. Akana5, Brad Balukjian6, Hilary P Benton7, Hilary P Benton1, J R Blair1, Segal M. Boaz8, Katharyn E. Boyer1, Jason B. Bram4, Laura W. Burrus1, Dana T. Byrd1, Natalia Caporale9, Edward J. Carpenter1, Yee-Hung M Chan1, Lily Chen1, Amy Chovnick8, Diana S Chu1, Bryan K. Clarkson10, Sara E. Cooper7, Catherine Creech11, Karen D. Crow1, José R. de la Torre1, Wilfred F. Denetclaw1, Kathleen E. Duncan7, Amy S. Edwards7, Karen L. Erickson7, Megumi Fuse1, Joseph J. Gorga10, Brinda Govindan1, L. Jeanette Green12, Paul Z. Hankamp13, Holly E Harris1, Zheng-Hui He1, Stephen B Ingalls1, Peter Ingmire1, J. Rebecca Jacobs7, Mark Kamakea14, Rhea R. Kimpo1, Rhea R. Kimpo15, Jonathan D. Knight1, Sara K. Krause16, Lori E. Krueger17, Lori E. Krueger18, Terrye L Light1, Lance Lund1, Leticia Márquez-Magaña1, Briana K. McCarthy19, Linda J. McPheron20, Vanessa C Miller-Sims1, Christopher A. Moffatt1, Pamela C. Muick17, Pamela C. Muick21, Paul H. Nagami6, Paul H. Nagami22, Paul H. Nagami1, Gloria Nusse1, Kristine M. Okimura1, Sally G. Pasion1, Robert Patterson1, Pleuni S. Pennings1, Blake Riggs1, Joseph M Romeo1, Scott William Roy1, Tatiane Russo-Tait23, Lisa M. Schultheis7, Lakshmikanta Sengupta13, Rachel Small1, Greg S. Spicer1, Jonathon H. Stillman1, Andrea Swei1, Jennifer M. Wade24, Steven B. Waters19, Steven L. Weinstein1, Julia K. Willsie10, Diana W. Wright3, Colin D Harrison25, Loretta A Kelley, Gloriana Trujillo26, Carmen R. Domingo1, Jeffrey N. Schinske7, Jeffrey N. Schinske4, Kimberly D. Tanner1 
TL;DR: The development and application of the machine-learning–derived algorithm Decibel Analysis for Research in Teaching (DART), which can analyze thousands of hours of STEM course audio recordings quickly, with minimal costs, and without need for human observers is described.
Abstract: Active-learning pedagogies have been repeatedly demonstrated to produce superior learning gains with large effect sizes compared with lecture-based pedagogies. Shifting large numbers of college science, technology, engineering, and mathematics (STEM) faculty to include any active learning in their teaching may retain and more effectively educate far more students than having a few faculty completely transform their teaching, but the extent to which STEM faculty are changing their teaching methods is unclear. Here, we describe the development and application of the machine-learning-derived algorithm Decibel Analysis for Research in Teaching (DART), which can analyze thousands of hours of STEM course audio recordings quickly, with minimal costs, and without need for human observers. DART analyzes the volume and variance of classroom recordings to predict the quantity of time spent on single voice (e.g., lecture), multiple voice (e.g., pair discussion), and no voice (e.g., clicker question thinking) activities. Applying DART to 1,486 recordings of class sessions from 67 courses, a total of 1,720 h of audio, revealed varied patterns of lecture (single voice) and nonlecture activity (multiple and no voice) use. We also found that there was significantly more use of multiple and no voice strategies in courses for STEM majors compared with courses for non-STEM majors, indicating that DART can be used to compare teaching strategies in different types of courses. Therefore, DART has the potential to systematically inventory the presence of active learning with ∼90% accuracy across thousands of courses in diverse settings with minimal effort.

71 citations

Journal ArticleDOI
TL;DR: The results of a meeting convened to identify affordances and constraints associated withCC BER are reported and support strategies for advancing CC BER going forward are described.
Abstract: Nearly half of all undergraduates are enrolled at community colleges (CCs), including the majority of U.S. students who represent groups underserved in the sciences. Yet only a small minority of studies published in discipline-based education research journals address CC biology students, faculty, courses, or authors. This marked underrepresentation of CC biology education research (BER) limits the availability of evidence that could be used to increase CC student success in biology programs. To address this issue, a diverse group of stakeholders convened at the Building Capacity for Biology Education Research at Community Colleges meeting to discuss how to increase the prevalence of CC BER and foster participation of CC faculty as BER collaborators and authors. The group identified characteristics of CCs that make them excellent environments for studying biology teaching and learning, including student diversity and institutional cultures that prioritize teaching, learning, and assessment. The group also identified constraints likely to impede BER at CCs: limited time, resources, support, and incentives, as well as misalignment between doing research and CC faculty identities as teachers. The meeting culminated with proposing strategies for faculty, administrators, journal editors, scientific societies, and funding agencies to better support CC BER.

63 citations

Journal ArticleDOI
TL;DR: With institutional commitment and an academic partnership, a safety net institution can integrate routine FV applications and oral health interventions into well-child visits to reduce ECC.
Abstract: BACKGROUND AND OBJECTIVE: Applying topical fluoride varnish (FV) to young children’s teeth is an effective therapeutic strategy for preventing early childhood caries (ECC). In 2008, the pediatricians at Contra Costa Regional Medical Center and Health Centers became concerned that our low-income pediatric patients had high rates of ECC and very limited access to dental care. We formed an interdisciplinary safety net-academic partnership with the University of California San Francisco to implement routine FV applications, along with oral health education, screening, and referral during well-child exams for children aged 1 to 5 years. METHODS: Over 3 years, the team developed clinical policies, educational materials, billing, and support systems to facilitate implementation in the primary care setting. A pilot study was performed in 2 health centers; improvements to the implementation plan were made. A team of local providers and academic partners performed system-wide didactic and hands-on trainings and spread this intervention to the remaining 6 health centers. Continued improvement strategies and provider feedback were pursued with each measurement cycle. RESULTS: In August 2012, 95% of all children aged 1 to 5 years who were seen for well-child checkups received a FV application and oral health education during their primary care well visit. Repeat measurement in April 2014 showed a sustained rate of 97% application of FV for children in this age group seen for well-child visits. CONCLUSIONS: With institutional commitment and an academic partnership, a safety net institution can integrate routine FV applications and oral health interventions into well-child visits to reduce ECC.

31 citations

Journal ArticleDOI
Colin D Harrison1, Tiffy A Nguyen2, Shannon B. Seidel3, Alycia M Escobedo4, Alycia M Escobedo2, Courtney Hartman3, Katie Lam2, Kristen S Liang5, Kristen S Liang2, Miranda Martens3, Gigi N. Acker6, Susan F. Akana7, Brad Balukjian8, Hilary P Benton2, Hilary P Benton9, J R Blair2, Segal M. Boaz10, Katharyn E. Boyer2, Jason B. Bram6, Laura W. Burrus2, Dana T. Byrd11, Natalia Caporale12, Edward J. Carpenter2, Yee-Hung M Chan2, Lily Chen2, Amy Chovnick10, Diana S Chu2, Bryan K. Clarkson13, Sara E. Cooper9, Catherine Creech14, José R. de la Torre2, Wilfred F. Denetclaw2, Kathleen E. Duncan9, Amelia S Edwards9, Karen L. Erickson9, Megumi Fuse2, Joseph J. Gorga13, Brinda Govindan2, L. Jeanette Green15, Paul Z. Hankamp16, Holly E Harris2, Zheng-Hui He2, Stephen B Ingalls2, Peter Ingmire2, J. Rebecca Jacobs9, Mark Kamakea17, Rhea R. Kimpo18, Jonathan D. Knight2, Sara K. Krause19, Lori E. Krueger20, Terrye L Light2, Lance Lund2, Leticia Márquez-Magaña2, Briana K. McCarthy21, Linda J. McPheron22, Vanessa C Miller-Sims2, Christopher A. Moffatt2, Pamela C. Muick23, Paul H. Nagami24, Gloria Nusse2, Kristine M. Okimura2, Sally G. Pasion2, Robert Patterson2, Pleuni S. Pennings2, Blake Riggs2, Joseph M Romeo2, Scott William Roy2, Tatiane Russo-Tait25, Lisa M. Schultheis9, Lakshmikanta Sengupta16, Lakshmikanta Sengupta6, Greg S. Spicer2, Andrea Swei2, Jennifer M. Wade26, Julia K. Willsie13, Loretta A Kelley, Melinda T. Owens11, Gloriana Trujillo27, Carmen R. Domingo2, Jeffrey N. Schinske9, Kimberly D. Tanner2 
TL;DR: The vast majority of Instructor Talk could be characterized using the originally published Instructor Talk framework, suggesting the robustness of this framework and a new form of Instructor talk—Negatively Phrased Instructor Talk, language that may discourage students or distract from the learning process—was detected in these novel course contexts.
Abstract: Instructor Talk-noncontent language used by instructors in classrooms-is a recently defined and promising variable for better understanding classroom dynamics. Having previously characterized the Instructor Talk framework within the context of a single course, we present here our results surrounding the applicability of the Instructor Talk framework to noncontent language used by instructors in novel course contexts. We analyzed Instructor Talk in eight additional biology courses in their entirety and in 61 biology courses using an emergent sampling strategy. We observed widespread use of Instructor Talk with variation in the amount and category type used. The vast majority of Instructor Talk could be characterized using the originally published Instructor Talk framework, suggesting the robustness of this framework. Additionally, a new form of Instructor Talk-Negatively Phrased Instructor Talk, language that may discourage students or distract from the learning process-was detected in these novel course contexts. Finally, the emergent sampling strategy described here may allow investigation of Instructor Talk in even larger numbers of courses across institutions and disciplines. Given its widespread use, potential influence on students in learning environments, and ability to be sampled, Instructor Talk may be a key variable to consider in future research on teaching and learning in higher education.

29 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
20219
20201
20193
20183
201710