Forum Guide to Personalized Learning Data. NFES 2019-160

Institution	National Forum on Education Statistics (ED); Quality Information Partners, Inc. (QIP)
Titel	Forum Guide to Personalized Learning Data. NFES 2019-160
Quelle	(2019), (53 Seiten) PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Leitfaden; Individualized Instruction; Data Use; School Districts; Data Collection; Best Practices; State Departments of Education; Mastery Learning; Strategic Planning; Needs Assessment; Educational Environment; Sustainability; Privacy; Public Schools; Feedback (Response); Educational Finance; Electronic Learning; Student Records; Faculty Development; Partnerships in Education; Stakeholders; Communication Strategies; Information Security; Colorado; Ohio; Nebraska; Vermont; Utah; Idaho; Montana; Connecticut; Rhode Island + Suchen Sie Ihr Suchwort? Individualisierender Unterricht; School district; Schulbezirk; Data capture; Datensammlung; Kultusministerium; Strategy; Planning; Strategie; Planung; Bedarfsermittlung; Lernumgebung; Pädagogische Umwelt; Schulumwelt; Nachhaltigkeit; Privatsphäre; Public school; Öffentliche Schule; Bildungsfonds; Schülerakte; Hochschulpartnerschaft; Kommunikationsstrategie
Abstract	Educators employ different methods of teaching and learning to help their students succeed. One such method is personalized learning, which aims to tailor instruction to the needs, talents, and skills of each individual learner. Rapid advances in technology platforms and digital content over the last decade have enabled more widespread use of personalized learning. As a result, many schools and districts may be interested in expanding its use across various content areas and grade levels. Effective personalized learning requires the collection, understanding, and use of data across many variables. Schools and districts that are interested in implementing personalized learning need to be prepared to ensure the data access, data privacy, and time and training to use data that are necessary to making personalized learning scalable. This document is designed to assist education agencies as they consider whether and how to expand their use of personalized learning. It provides an overview of personalized learning and describes best practices used by education agencies to collect data for personalized learning; to use those data to meet personalized learning goals; and to support the relationships, resources, and systems needed for effective use of data in personalized learning. It also provides a particular focus on data considerations needed by different locations depending on their approach to personalized learning, and considers questions such as which data elements are appropriate at the district or state levels. Because personalized learning is still a developing prospect in many locations, the concepts and examples provided here are intended to help facilitate idea sharing and discussion. (ERIC).
Anmerkungen	National Forum on Education Statistics. 1990 K Street NW Room 9095, Washington, DC 2006. Fax: 202-502-7475; Web site: http://nces.ed.gov/forum/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01