The Assessment of Learning Infrastructure (ALI): The Theory, Practice, and Scalability of Automated Assessment [Konferenzbericht] Paper presented at the International Conference on Learning Analytics & Knowledge Conference (LAK) (6th, Edinburgh, United Kingdom, Apr 25-29, 2016).

Autor/inn/en	Ostrow, Korinn S.; Selent, Doug; Wang, Yan; Van Inwegen, Eric G.; Heffernan, Neil T.; Williams, Joseph Jay
Titel	The Assessment of Learning Infrastructure (ALI): The Theory, Practice, and Scalability of Automated Assessment [Konferenzbericht] Paper presented at the International Conference on Learning Analytics & Knowledge Conference (LAK) (6th, Edinburgh, United Kingdom, Apr 25-29, 2016).
Quelle	(2016), (11 Seiten) PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Learning Analytics; Technology Uses in Education; Randomized Controlled Trials; Automation; Individualized Instruction; Measurement; Standards; Educational Benefits; Electronic Learning; Authentic Learning; Educational Research; Homework + Suchen Sie Ihr Suchwort? Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Individualisierender Unterricht; Messverfahren; Standard; Bildungsertrag; Bildungsforschung; Pädagogische Forschung; Hausaufgabe
Abstract	Researchers invested in K-12 education struggle not just to enhance pedagogy, curriculum, and student engagement, but also to harness the power of technology in ways that will optimize learning. Online learning platforms offer a powerful environment for educational research at scale. The present work details the creation of an automated system designed to provide researchers with insights regarding data logged from randomized controlled experiments conducted within the ASSISTments TestBed. The Assessment of Learning Infrastructure (ALI) builds upon existing technologies to foster a symbiotic relationship beneficial to students, researchers, the platform and its content, and the learning analytics community. ALI is a sophisticated automated reporting system that provides an overview of sample distributions and basic analyses for researchers to consider when assessing their data. ALI's benefits can also be felt at scale through analyses that crosscut multiple studies to drive iterative platform improvements while promoting personalized learning. [This paper was published in: "LAK '16: Proceedings of the Sixth International Conference on Learning Analytics & Knowledge," (pp. 279-288).] (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01