Foreword: Kinshuk

Preface: Lin Lin and J. Michael Spector

Introduction: Lin Lin Part 1: Trends and Future of Learning and Learning Technologies

1. A history of trends from the perspective of the Texas Center for Educational Technology (James Poirot)

2. Learning perspectives: Towards a neuro-cognitive definition of learning (Phillip Harris) 3. Integrating an emphasis on creativity in learning across disciplines (Brad Hokanson)

3. D-school and designing thinking (Lara Cole and Julie McLeod)

4. Designs and technologies to advance self-directed learning (Gary Natriello and Hui Soo Chae)

5. Learning paths and analytics (George Siemens)

Part 2: Promising Learning Technologies and Artificial Intelligence

7. Defining the "NEW" K12 Digital Ecosystem (Lenny Schad) 8. AI 2.0 and education (Ronghuai Huang)

8. The Role of digital curricula in K-12 (Elliot Soloway and Cathie Norris)

9. An intelligent textbook for critical thinking in biology (Vinay Chaudhri)

10. Conversational interfaces for learning (or: Integrating robotics and the curriculum)

(Rodney Nielsen)

Part 3: Significant Challenges Requiring Resolution

12. The challenges of sustaining a 1:1 elementary classroom (Elizabeth and Tina Chong)

13. Data-driven education (William Zhou) 14. Neuropsychological assessments (Thomas Parsons)

14. Meaningful learning analytics (Dirk Ifenthaler)

Part 4: Reflections and Insights

16. The neuroscience of learning (Marc Schwartz)

17. Thinking critically about critical thinking (J. Michael Spector)

18. Informal learning in museums (Debbie Cocherham and Lin Lin) 19. Thoughts from a linguist (Haj Ross)

19. Implications for the future of learning (Lin Lin)

Epilogue - J. Michael Spector

Glossary of Terms (Lin Lin and J. Michael Spector)

Consolidated References

Index (Springer)