Suitable Judgement Assistance of Visualization Method for Sensor Log Overlapping on Daily Video [Konferenzbericht] Paper presented at the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA) (15th, Budapest, Hungary, Oct 21-23, 2018).

Autor/inn/en	Ishioka, Takuya; Gotoda, Naka; Alo, Christian; Kunieda, Takayuki; Yaegashi, Rihito; Hayashi, Toshihiro
Titel	Suitable Judgement Assistance of Visualization Method for Sensor Log Overlapping on Daily Video [Konferenzbericht] Paper presented at the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA) (15th, Budapest, Hungary, Oct 21-23, 2018).
Quelle	(2018), (9 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Decision Making; Visualization; Video Technology; Athletic Coaches; Goal Orientation; Skill Development; Models; Correlation; Training Methods; Racquet Sports + Suchen Sie Ihr Suchwort? Decision-making; Entscheidungsfindung; Visualisation; Visualisierung; Zielorientierung; Zielvorstellung; Kompetenzentwicklung; Qualifikationsentwicklung; Analogiemodell; Korrelation; Didaktik; Trainingsmaßnahme
Abstract	Obtaining tacit knowledge in sports skill learning is difficult. Although, coaches can give their learners easy to understand instructions to obtain the tacit knowledge. The coaches monitor, analyse and interpret learners' physical movement based on the coaches' experiences, then they give the instruction. In self-training without coaches, it is difficult for learners to analyse own growing status and interpret their achievement goal. We developed an Automatically Superimposed-video Creating System (ASCS) in order to support analysis and interpret the learners' status and achievement level of the skill. Our system has several independent modules to create each instruction, and the learners can choose one module. We assume two achievement models to select suitable modules. Achievement models show a growing process of learners' skills in time series. We conducted a survey to find out the models. We found combined growth patterns which consisted of two assumed models. It suggests a possibility of the two assumed models. In addition, the survey suggested the relationship between modules and models. [For the complete proceedings, see ED600498.] (As Provided).
Anmerkungen	International Association for the Development of the Information Society. e-mail: secretariat@iadis.org; Web site: http://www.iadisportal.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01