Synthetic Longitudinal Education Database: Linking National Datasets for K-16 Education and College Readiness

Autor/inn/en	Lee, Jaekyung; Jaeger, Joseph
Titel	Synthetic Longitudinal Education Database: Linking National Datasets for K-16 Education and College Readiness
Quelle	In: International Journal of Educational Methodology, 7 (2021) 4, S.683-696 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Lee, Jaekyung) ORCID (Jaeger, Joseph)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2469-9632
Schlagwörter	College Readiness; Longitudinal Studies; Databases; Artificial Intelligence; Man Machine Systems; Elementary Secondary Education; Higher Education; Children; Surveys; Learning Analytics; Early Childhood Longitudinal Survey; National Education Longitudinal Study of 1988 (NCES) + Suchen Sie Ihr Suchwort? Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Datenbank; Künstliche Intelligenz; Mensch-Maschine-System; Hochschulbildung; Hochschulsystem; Hochschulwesen; Child; Kind; Kinder; Survey; Umfrage; Befragung
Abstract	What are missing in the U.S. education policy of "college for all" are supporting data and indicators on K-16 education pathways, i.e, how well all students get ready and stay on track from kindergarten through college. This study creates synthetic national longitudinal education database that helps track and support students' educational pathways by combining two nationallyrepresentative U.S. sample datasets: Early Childhood Longitudinal Study- Kindergarten (ECLS-K; Kindergarten through 8th grade) and National Education Longitudinal Study (NELS; 8th grade through age 25). The merge of these national datasets, linked together via statistical matching and imputation techniques, can help bridge the gap between elementary and secondary/postsecondary education data/research silos. Using this synthetic K-16 education longitudinal database, this study applies machine learning data analytics in search of college readiness early indicators among kindergarten students. It shows the utilities and limitations of linking preexisting national datasets to impute education pathways and assess college readiness. It discusses implications for developing more holistic and equitable educational assessment system in support of K-16 education longitudinal database. (As Provided).
Anmerkungen	Eurasian Society of Educational Research. 7321 Parkway Drive South, Hanover, MD 21076. e-mail: publisher@ijem.com; Web site: https://www.ijem.com/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01