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Designing for Improvement in Professional Development for Community College Developmental Mathematics Faculty

Datos Bibliográficos

ID4306491
AutoresAnn R Edwards (Carnegie Foundation for the Advancement of Teaching, Stanford, CA, USA, autor de correspondencia), Carlos Sandoval (0000-0003-1468-2949, Carnegie Foundation for the Advancement of Teaching, Stanford, CA, USA), Haley Mcnamara (Carnegie Foundation for the Advancement of Teaching, Stanford, CA, USA)
Año2015
Volumen66
Número5
Páginas466-481
Fecha de publicación2015-11-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Teacher Education (JOURNAL)
Identificadores de la revistaISSN: 0022-4871 • E-ISSN: 1552-7816
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/0022487115602313
OpenAlexW2242977418
IdiomaEN
Citas recibidas3
Referencias citadas15

More than 60% of the nation's 14 million community college students are required to complete at least one developmental mathematics class before enrolling in college-credit courses; however, 80% of them do not successfully complete any college-level mathematics course within 3 years. To address this problem, the Community College Pathways initiative was launched in 2009. A core element is the Pathways Faculty Support Program, professional development aimed at supporting faculty to develop knowledge, beliefs, skills, and practices for teaching Pathways courses. In fall 2014, a redesign of the program used improvement science methods to design an infrastructure for responsive, flexible professional development that is sensitive to varying and changing conditions, with mechanisms for identifying, designing, and testing ideas for improvement. Specifically, our team employed a user-centered design process that foregrounds the needs and work processes of Pathways faculty and a measurement system that drives the continuous improvement of the program

Class (philosophy) · Community college · Faculty Development · Mathematics education · Medical education · Pedagogy · Process (computing) · Professional development · Work (physics) · Computer Science · Engineering · Experimental Learning in Engineering · Innovative Teaching Methods · Mathematics Education and Programs · Medicine · Psychology

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Obras citantes distintas3
Citas por año0,6
Intervalo de citas2021 - 2022 (2)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 3
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