Using Data to Improve Student Learning. Theory, Research and Practice. 1st ed. 2021.

Autor/in	Maxwell, Graham S.
Titel	Using Data to Improve Student Learning. Theory, Research and Practice. 1st ed. 2021.
Quelle	Cham: Springer International Publishing (2021), XV, 405 S. PDF als Volltext Link als defekt meldenVerfügbarkeit
Reihe	The Enabling Power of Assessment. 9
Beigaben	Illustrationen 1
Zusatzinformation	Zusammenfassung
Sprache	englisch
Dokumenttyp	online; gedruckt; Monographie
ISBN	978-3-030-63537-4; 978-3-030-63538-1; 978-3-030-63539-8
DOI	10.1007/978-3-030-63539-8
Schlagwörter	Bildungssystem; Bildungspolitik; Statistik; Bewertung
Abstract	This book offers a coherent research-based overview and analysis of theories and practices in using data to improve student learning. It clarifies what 'use of data' means and differentiates the different levels of decision-making in education (relating to the system, district, school, classroom, or individual student). The relationship between data and decision-making is considered and various movements in the use of data to improve student learning are analysed, especially from the perspective of their assumptions and effects. This leads to a focus on effective educational decision-making as a social process requiring collaboration among all relevant participants. It also requires a clear understanding of educational aims, and these are seen to transcend what can be assessed by standardised tests. The consequences of this analysis for decision processes are explored and conclusions are drawn about what principles might best guide educational practice as well as what ambiguities remain. Throughout, the focus is on what existing research says about each of the issues explored. Contents: Part 1: Background Issues and Challenges -- Chapter 1. Introduction: Why the Current Emphasis on Data? -- Chapter 2. Different models (and Movements) of Data Use -- Chapter 3. Data in Context: The School as a Social Organisation -- Chapter 4. Defining and Assessing Appropriate Learning Outcomes -- Part 2: Meeting the Challenges: Managing the Processes -- Chapter 5. Collecting Data: Creating Databases -- Chapter 6. Validity Issues: Ensuring Data are Appropriate -- Chapter 7. Managing Databases: Making Data Accessible -- Chapter 8. Interpreting Data (Technically and Meaningfully) -- Chapter 9. Decision Issues: Taking Actions Based on Data -- Chapter 10. Leading and Developing Professional Expertise -- Part 3: Future Challenges -- Chapter 11. Possibilities for Practice and Research.
Erfasst von	Universitätsbibliothek der Humboldt-Universität zu Berlin
Update	2022/2