Game-based learning in education and health. Part A /
Clasificación: | Libro Electrónico |
---|---|
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Amsterdam, Netherlands ; Cambridge, MA, United States :
Elsevier,
2023.
|
Edición: | First edition. |
Colección: | Progress in brain research ;
v. 276. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Intro
- Game-Based Learning in Education and Health
- Part A
- Copyright
- Contributors
- Contents
- Acknowledgments
- Preface: The science of game-based learning in education and health
- Game-based assessments
- Game-based interventions
- Conclusions
- References
- Chapter 1: Math computerized games in the classroom: A number line training in primary school children
- 1. Introduction
- 1.1. Number line and linear board games
- 1.2. NL task as a training tool
- 1.3. Computer-based number line training
- 1.4. The present study
- 2. Method
- 2.1. Participants
- 2.2. Procedure
- 2.2.1. Study design
- 2.2.2. Measures
- 2.2.3. Training
- 3. Results
- 4. Discussion
- References
- Chapter 2: Digital games for learning basic arithmetic at home
- 1. Introduction
- 1.1. Investigating the value of digital games at home
- 1.2. An alternative approach
- 1.3. The research questions
- 2. Materials and methods
- 2.1. The numberbeads game
- 2.2. The NumberChoice game
- 2.3. The experimental study
- 2.4. Participants
- 2.5. Arithmetic measures
- 2.5.1. Written operations
- 2.5.2. Number comparison
- 2.5.3. Ordering from smallest to the largest and from the largest to the smallest
- 2.5.4. Mental calculation
- 2.5.5. Counting
- 2.5.6. Transcoding
- 2.6. Intervention procedure
- 2.7. Statistical analysis
- 3. Results
- 3.1. Analysis for playing the game at home
- 3.2. Analysis of the relative effectiveness of NB compared with NC
- 3.3. Exploratory analysis on the low-attaining sample
- 4. Discussion
- 4.1. Pedagogy of NumberBeads
- 4.2. Game-play behavior
- 4.3. The implications of playing at home
- 4.4. Effects on low-attaining learners
- 5. Conclusion
- Acknowledgments
- 2.4. Subscales assessing fraction magnitude
- 2.4.1. Fraction number line estimation
- 2.4.2. Fraction magnitude comparison
- 2.4.3. Fraction ordering
- 2.4.4. Density
- 2.4.5. Fraction conversion
- 2.5. Fraction arithmetic
- 2.6. Semideus in-game metrics
- 2.6.1. The Semideus research engine
- 2.6.2. Semideus implementation in the current study
- 2.6.3. Number line estimation
- 2.6.4. Magnitude comparison
- 2.6.5. Total game score
- 2.6.6. Mean number of stars awarded
- 2.7. Additional measures
- 2.7.1. Basic arithmetic (subtraction and multiplication)
- 2.7.2. Math grade