A Path to Formative Assessment through Naturalistic Inputs

Autor/inn/en	Cohen, Jonathan; Leroux, Audrey
Titel	A Path to Formative Assessment through Naturalistic Inputs
Quelle	In: Journal of Interactive Learning Research, 28 (2017) 2, S.93-108 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1093-023X
Schlagwörter	Formative Evaluation; Input Output Analysis; Data Collection; Electronic Publishing; Books; Reading Comprehension; Artificial Intelligence; Documentation; Prediction; Student Evaluation; Educational Environment; Online Courses; Standardized Tests + Suchen Sie Ihr Suchwort? Data capture; Datensammlung; Elektronisches Publizieren; Book; Buch; Monographie; Monografie; Leseverstehen; Künstliche Intelligenz; Dokumentation; Vorhersage; Schulnote; Studentische Bewertung; Lernumgebung; Pädagogische Umwelt; Schulumwelt; Online course; Online-Kurs; Standadised tests; Standardisierter Test
Abstract	This paper reports on the development of a system in which naturalistic inputs are collected by a web-based e-reader and, in combination with a measurement of readers' comprehension of that text, are analyzed by a neural network to determine the nature of the relationship between the annotations and comprehension. Results showed that neural networks can be trained to take naturalistic inputs, like textual annotations, and produce reasonably accurate predictions of a dependent variable. The potential application of this system as a method for formatively assessing the work of students in broader learning environments, such as corporate or governmental training environments, massive open online courses (MOOCs), and statewide standardized curricula are discussed. (As Provided).
Anmerkungen	Association for the Advancement of Computing in Education. P.O. Box 1545, Chesapeake, VA 23327. Tel: 757-366-5606; Fax: 703-997-8760; e-mail: info@aace.org; Web site: http://www.aace.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01