Interaction Networks: Generating High Level Hints Based on Network Community Clustering [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (5th, Chania, Greece, Jun 19-21, 2012).

Autor/inn/en	Eagle, Michael; Johnson, Matthew; Barnes, Tiffany
Institution	International Educational Data Mining Society
Titel	Interaction Networks: Generating High Level Hints Based on Network Community Clustering [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (5th, Chania, Greece, Jun 19-21, 2012).
Quelle	(2012), (4 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Data Analysis; Interaction; Network Analysis; Problem Solving; Feedback (Response); Intelligent Tutoring Systems; Graphs + Suchen Sie Ihr Suchwort? Auswertung; Interaktion; Netzplantechnik; Problemlösen; Intelligentes Tutorsystem; Grafische Darstellung
Abstract	We introduce a novel data structure, the Interaction Network, for representing interaction-data from open problem solving environment tutors. We show how using network community detecting techniques are used to identify sub-goals in problems in a logic tutor. We then use those community structures to generate high level hints between sub-goals. The preliminary results show that using network analysis techniques are promising for exploring and understanding user data from open problem solving environments. (Contains 3 figures.) [For the complete proceedings, "Proceedings of the International Conference on Educational Data Mining (EDM) (5th, Chania, Greece, June 19-21, 2012)," see ED537074.] (As Provided).
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	2017/4/10