Serious Games Analytics
Methodologies for Performance Measurement, Assessment, and Improvement
This first-of-its-kind reference moves the concepts and methodologies of game analytics and learning analytics into the emerging field of serious games. The book calls for more validated and standardized research into serious games analytics, backing up this demand with ways that player data can be transformed into information of value to the academic and serious games sectors. Featured methodologies derive from diverse disciplines, from computer science and data visualization to learning science and statistics. And the volume's second half highlights new frontiers for serious games in medical education and patient care, psychological profile…
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Produktdetails
Weitere Autoren: Sheng, Yanyan (Hrsg.) / Ifenthaler, Dirk (Hrsg.)
- ISBN: 978-3-319-38219-7
- EAN: 9783319382197
- Produktnummer: 31954708
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 477 S.
- Masse: H23.5 cm x B15.5 cm 8'596 g
- Auflage: Nachdr.
- Abbildungen: Farb., s/w. Abb.
- Gewicht: 8596
- Sonstiges: Research
Über den Autor
Christian Sebastian Loh's research interests focus on the performance measurement/assessment/ improvement with and the analytics for serious games and virtual environments. He was the 2008/09 President for the Division of Multimedia Production of the AECT (Association for Educational Communications and Technology), and recipient of the 2009 Defense University Research Instrument Program grant awarded by the Army Research Office (ARO). He has designed and developed serious games for research, Information Trails for telemetric performance measurement, Performance Tracing Report Assistant (PeTRA) for performance improvement via gameplay data visualization. He is currently serving on the editorial board of Technology, Knowledge and Learning (TKL), and as associate editor for International Journal of Gaming and Computer-Mediated Simulations (IJGCMS), and International Journal of Game-Based Learning (IJGBL). Dr. Yanyan Sheng's research interests focus on modeling dichotomous responses in educational and psychological measurement using advanced modern statistics, and specifically on developing and applying complex yet efficient Bayesian hierarchical item response models. She developed complex Bayesian multidimensional models with various latent dimensional structures and has written and published MATLAB programs for these models. She is also interested in applying the biased coin up-and-down design to adaptive testing. Dr. Ifenthaler's research interests focus on learning analytics, cognitive structures, complex problem solving, learning analytics, game-based and mobile learning, as well as computer-based assessment. He developed computer-based methodologies for the assessment and analysis of graphical and natural language representations (SMD Technology, HIMATT, AKOVIA, TASA) as well as games for teacher education (DIVOSA, SeSIM). Dr. Ifenthaler's research outcomes spans numerous co-authored books, book chapters, journal articles and international conference papers. He was a 2012 Fulbright Scholar-in-Residence at the Jeannine Rainbolt College of Education, the University of Oklahoma, USA and Interim Department Chair and Professor at the University of Mannheim, Germany. He is the 2013/2014 President for the AECT (Association for Educational Communications and Technology) Division Design and Development, 2013/2014 Chair for the AERA Special Interest Group Technology, Instruction, Cognition and Learning and Program Chair for the international conference on Cognition and Exploratory Learning in the Digital Age. Dr. Ifenthaler received the 2012 Outstanding Journal Article Award by AECT, 2009 Outstanding Reviewer Award for Educational Technology Research and Development and the 2006 Outstanding Dissertation Award by University of Freiburg, Germany. He is the Editor-In-Chief of Technology, Knowledge and Learning.
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