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X-WR-CALDESC:Events for UCLA School of Education & Information Studies
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SUMMARY:Free Computer Science Workshops for K-12 Educators
DESCRIPTION:Participate alongside other K-12 California educators and paraprofessionals in free workshops that feature the California K-12 Computer Science Standards. Most educators are eligible to receive a $125 stipend for each 3-hour workshop scheduled in the spring. \n\n\n\nWorkshops will be held on various dates and times between April 9 – May 17.
URL:https://seis.ucla.edu/event/free-computer-science-workshops-for-k-12-educators/
ATTACH;FMTTYPE=image/jpeg:https://seis.ucla.edu/wp-content/uploads/2025/04/teacher-with-elementary-students.jpg
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UID:18596-1745251200-1745256600@seis.ucla.edu
SUMMARY:Structuring College Access: The Market Segment Model and College Board Geomarkets
DESCRIPTION:The Structure of College Choice (Zemsky & Oedel\, 1983) created “Geomarkets” and the “Market Segment Model.” Geomarkets carve states and metropolitan areas into smaller geographic units\, meant to define local recruiting markets. The Market Segment Model predicts how student demand for a particular college varies by Geomarket\, based on the socioeconomic characteristics of households. Geomarkets became an input for two College Board products that help colleges recruit students. First\, the Enrollment Planning Service (EPS) software recommends specific Geo-markets and high schools from which colleges should recruit. Second\, the Student Search Service sells the contact information of prospective students – referred to as “student lists” – and colleges can filter by Geomarket to determine which prospect profiles they purchase. We draw from scholarship on quantification\, particularly the discussions of correlation and homophily by Chun (2021)\, to conceptualize how recruiting products incorporate Geomarkets.  \n\n\n\nWe address two research questions: What is the socioeconomic and racial variation between Geomarkets and how does this variation change over time? How does the socioeconomic and racial composition of included versus excluded prospects vary when student list purchases filter on particular Geomarkets? We answer RQ1 by analyzing Census data from 1980\, 2000\, and 2020. We answer RQ2 using data on student lists purchased by public universities\, which we collected by issuing public records requests. We utilize a quantitative case study design. Metropolitan areas are cases. Analyses consist of descriptive statistics and interactive maps.
URL:https://seis.ucla.edu/event/structuring-college-access-the-market-segment-model-and-college-board-geomarkets/
LOCATION:UCLA Murphy Hall Room 3312
CATEGORIES:Department of Education,Talks, Lectures, Seminars, and Presentations
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