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Tracks as Emergent Structures

A Network Analysis of Student Differentiation in a High School

Bibliographic Data

ID11366252
AuthorsRonald H Heck (0000-0001-6314-5352, University of Hawaiʻi at Mānoa, corresponding author), Carol Leah Price (Hawaii State Department of Education), Scott L Thomas
Year2004
Volume110
Issue4
Pages321-353
Publication date2004-08-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Education (JOURNAL)
Journal identifiersISSN: 0195-6744 • E-ISSN: 1549-6511
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/422789
OpenAlexW2118133543
LanguageEN
Citations received15
References cited63

While forms of tracking have drawn attention for many years, researchers have more recently turned their attention to the courses students take, the teaching that goes on within them, and the peer friendships formed as factors that affect students' educational experiences and post–high school aspirations. This study examines the phenomenon of student differentiation in high schools through a microanalysis of the course‐taking patterns of a cohort of students during their four years in a high school. Using social network methods, we analyze course‐time events and, after deriving a number of patterns grounded in the data, we examine the manner in which these sociocurricular positions differentiate students on status characteristics, academic achievement, and post–high school plans

Academic achievement · Affect (linguistics · Mathematics education · Pedagogy · Phenomenon · Social capital · Social network analysis · Social science · Sociology · Tracking (education · Higher Education Research Studies · Parental Involvement in Education · Psychology · School Choice and Performance

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Unique citing works15
Citations per year0,75
Citation span2006 - 2026 (21)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 15

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