Development of a Trajectory Model for Visualizing Teacher ICT Usage Based on Event Segmentation Data [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (10th, Wuhan, China, Jun 25-28, 2017).

Autor/inn/en	Zheng, Longwei; Shi, Rui; Wu, Bingcong; Gu, Xiaoqing; Feng, Yuanyuan
Titel	Development of a Trajectory Model for Visualizing Teacher ICT Usage Based on Event Segmentation Data [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (10th, Wuhan, China, Jun 25-28, 2017).
Quelle	(2017), (6 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Educational Technology; Technology Uses in Education; Visualization; Data Collection; Data Analysis; Teaching Methods; Electronic Publishing; Textbooks; Elementary School Teachers; Elementary School Students; Foreign Countries; China (Shanghai) + Suchen Sie Ihr Suchwort? Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Visualisation; Visualisierung; Data capture; Datensammlung; Auswertung; Teaching method; Lehrmethode; Unterrichtsmethode; Elektronisches Publizieren; Textbook; Text book; Schulbuch; Lehrbuch; Elementary school; Teacher; Teachers; Grundschule; Volksschule; Lehrer; Lehrerin; Lehrende; Ausland
Abstract	The adoption of educational technologies such as e-textbook has offered a new opportunity to gain insight into teachers' usage of ICT (Information and Communication Technologies). In the e-textbook platform, customized digital products and the learning activities organized in digital environment require teachers to make greater efforts in planning lessons and producing resources. In addition, usage of technology can vary greatly from one group of teachers from another in various contexts. In this study, we demonstrate how computations like event segmentation and contextual numbers can be exploited in visualizing trajectories of teacher's ICT usage. We also study with the experience structure via the implicit patterns within the raw data of an e-textbook platform. Such automated visual characterization might be helpful to the wide and scalable application of teaching analytics to represent teacher's ICT usage. [For the full proceedings, see ED596512.] (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	2020/1/01