Literaturnachweis - Detailanzeige
Autor/inn/en | Bargagliotti, Anna; Arnold, Pip; Franklin, Chris |
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Titel | GAISE II: Bringing Data into Classrooms |
Quelle | In: Mathematics Teacher: Learning and Teaching PK-12, 114 (2021) 6, S.424-435 (12 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0025-5769 |
Schlagwörter | Preschool Education; Kindergarten; Elementary Secondary Education; Guidelines; Mathematics Teachers; Professional Associations; Mathematics Instruction; Data Analysis; Literacy; Statistics Education; Problem Solving; Teaching Methods; Student Evaluation Pre-school education; Vorschulerziehung; Richtlinien; Mathematics; Teacher; Teachers; Mathematik; Lehrer; Lehrerin; Lehrende; Mathematics lessons; Mathematikunterricht; Auswertung; Alphabetisierung; Schreib- und Lesefähigkeit; Problemlösen; Teaching method; Lehrmethode; Unterrichtsmethode; Schulnote; Studentische Bewertung |
Abstract | In this article, the authors introduce the "Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II): A Framework for Statistics and Data Science Education" report. This report, which was published by the American Statistical Association (ASA) and endorsed by the National Council of Teachers of Mathematics (NCTM) in 2020, presents a set of recommendations toward data literacy at the elementary, middle, and high school levels. "GAISE II" offers an update to the original report, "Guidelines for Assessment and Instruction in Statistics Education: A Pre-K-12 Curriculum Framework (GAISE I)," published in 2007. One of the important updates "GAISE II" contributes is a framework for PK-12 students to experience exploring different data types (McNamara and Hansen 2014). How can students effectively grapple with nontraditional data? How do teachers help students become data problem solvers with nontraditional data? This article discusses how using questioning throughout the statistical problem-solving process helps students navigate nontraditional data sets to become data problem solvers. (ERIC). |
Anmerkungen | National Council of Teachers of Mathematics. 1906 Association Drive, Reston, VA 20191. Tel: 800-235-7566; Tel: 703-620-9840; Fax: 703-476-2570; e-mail: publicationsdept@nctm.org; Web site: https://pubs.nctm.org/ |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |