Specification of the Autonomic Cycles of Learning Analytic Tasks for a Smart Classroom

Autor/inn/en	Aguilar, Jose; Cordero, Jorge; Buendía, Omar
Titel	Specification of the Autonomic Cycles of Learning Analytic Tasks for a Smart Classroom
Quelle	In: Journal of Educational Computing Research, 56 (2018) 6, S.866-891 (26 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Aguilar, Jose) ORCID (Cordero, Jorge)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0735-6331
DOI	10.1177/0735633117727698
Schlagwörter	Data Analysis; Learning Processes; Decision Making; Instructional Improvement; Computer Simulation; Computer Software; Scores; Classification; Identification; Special Needs Students; Academic Achievement; Educational Resources; Computer Assisted Instruction; Independent Study; Task Analysis; Intelligent Tutoring Systems + Suchen Sie Ihr Suchwort? Auswertung; Learning process; Lernprozess; Decision-making; Entscheidungsfindung; Unterrichtsqualität; Computergrafik; Computersimulation; Classification system; Klassifikation; Klassifikationssystem; Identifikation; Identifizierung; Sonderpädagogischer Förderbedarf; Schulleistung; Bildungsmittel; Computer based training; Computerunterstützter Unterricht; Selbststudium; Aufgabenanalyse; Intelligentes Tutorsystem
Abstract	In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic cycle, each learning analysis task interacts with each other and has different roles: Some of them must observe the learning process, others must analyze and interpret what happens in it, and finally, others make decisions in order to improve the learning process. In this article, we study the application of the autonomic cycle in a smart classroom, which is composed of a set of intelligent components of hardware (e.g., smart board) and software (e.g., virtual learning environments), which must exploit the knowledge generated by the ACOLAT to improve the learning process in the smart classroom. Moreover, we present the set of ACOLATs present in a smart classroom and the implementation of some of them. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01