Serious Games Analytics / Advances in Game-Based Learning (PDF)
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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 generation, and learning support.
Included in the coverage:
- A meta-analysis of data collection in serious games research.
- Measuring expert-performance for serious games analytics: from data to insights.
- Comparative visualization of player behavior for serious games analytics.
- The role of serious games in robot exoskeleton assisted rehabilitation of stroke patients.
- Design of game-based stealth assessment and learning support.
- A game design methodology for generating a psychological profile of players.
Serious Games Analytics gives educators, instructional designers, and researchers in educational technology a fuller grasp of the knowledge learners access in serious game play, and data and ideas leading to the next wave of serious games.
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 andinternational
- 2015, 2015, 477 Seiten, Englisch
- Herausgegeben: Christian Sebastian Loh, Yanyan Sheng, Dirk Ifenthaler
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319058347
- ISBN-13: 9783319058344
- Erscheinungsdatum: 13.06.2015
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 10 MB
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