The uses of process data in large-scale educational assessments.

Autor/in	Maddox, Bryan
Titel	The uses of process data in large-scale educational assessments.
Quelle	Paris: OECD Publishing (2022), 24 S. PDF als Volltext Link als defekt meldenVerfügbarkeit
Reihe	OECD education working papers. 286
Beigaben	Literaturangaben; Abbildungen
Sprache	englisch
Dokumenttyp	online; Monographie
DOI	10.1787/5d9009ff-en
Schlagwörter	Auswertung; Standardisierter Test; Testauswertung; Digitalisierung; Testauswertung; Auswertung; Digitalisierung; Arbeitspapier; OECD-Studie
Abstract	The digital transition in educational testing has introduced many new opportunities for technology to enhance large-scale assessments. These include the potential to collect and use log data on test-taker response processes routinely, and on a large scale. Process data has long been recognised as a valuable source of validation evidence in assessments. However, it is now being used for multiple purposes across the assessment cycle. Process data is being deliberately captured and used in large-scale, standardized assessments - moving from viewing it as a "by-product" of digital assessment, to its use "by design" to extend understanding of test-taker performance and engagement. While these techniques offer significant benefits, they also require appropriate validation practices to ensure that their use supports reliable inferences and do not introduce unintended negative consequences.
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main (extern)
Update	2023/1