Proceedings of the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, June 26-29, 2015)

Sonst. Personen	Santos, Olga Cristina (Hrsg.); Boticario, Jesus Gonzalez (Hrsg.); Romero, Cristobal (Hrsg.); Pechenizkiy, Mykola (Hrsg.); Merceron, Agathe (Hrsg.); Mitros, Piotr (Hrsg.); Luna, Jose Maria (Hrsg.); Mihaescu, Cristian (Hrsg.); Moreno, Pablo (Hrsg.); Hershkovitz, Arnon (Hrsg.); Ventura, Sebastian (Hrsg.); Desmarais, Michel (Hrsg.)
Institution	International Educational Data Mining Society
Titel	Proceedings of the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, June 26-29, 2015)
Quelle	(2015), (691 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
ISBN	978-84-606-9425-0
Schlagwörter	Tagungsbericht; Data Analysis; Educational Research; Computer Uses in Education; Integrated Learning Systems; Intelligent Tutoring Systems; Educational Games; Educational Technology; Higher Education; Elementary Secondary Education; Learning Processes + Suchen Sie Ihr Suchwort? Auswertung; Bildungsforschung; Pädagogische Forschung; Computernutzung; Intelligentes Tutorsystem; Educational game; Lernspiel; Unterrichtsmedien; Hochschulbildung; Hochschulsystem; Hochschulwesen; Learning process; Lernprozess
Abstract	The 8th International Conference on Educational Data Mining (EDM 2015) is held under auspices of the International Educational Data Mining Society at UNED, the National University for Distance Education in Spain. The conference held in Madrid, Spain, July 26-29, 2015, follows the seven previous editions (London 2014, Memphis 2013, Chania 2012, Eindhoven 2011, Pittsburgh 2010, Cordoba 2009 and Montreal 2008). The EDM conference is a leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning processes. These data sets may come from the traces that students leave when they interact with learning management systems, interactive learning environments, intelligent tutoring systems, educational games or when they participate in a data-rich learning context. The types of data therefore range from raw log files to eye-tracking devices and other sensor data. This year's conference features three invited talks by Luis von Ahn and Matt Streeter (Duolingo), George Siemens, Ryan Baker and Dragan Gasevic (Athabasca University, Columbia University and University of Edinburgh respectively) and Pekka Räsänen (Niilo Mäki Institute). To facilitate further discussion of the increasingly important research issues, three interactive panels have been organized; on grand challenges in EDM, ethics and privacy considerations in EDM, and practical applications of EDM at scale. This year, together with the "Journal of Educational Data Mining" ("JEDM"), the JEDM Track was started to accommodate researchers who want to contribute a more substantial contribution than space allows in the conference proceedings, and yet to present their work to a live conference audience. The papers submitted to the track followed the regular JEDM peer review process; 4 papers have been accepted to the track and were presented at the conference. The abstracts of the invited talks, panels and accepted JEDM Track papers can be found in these proceedings. (Individual papers contain references.) [For the 2014 proceedings, see ED558339.] (ERIC).
Anmerkungen	International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01