1. Home
  2. E-Book
  3. Brief Introduction to Educational Implications of Artificial Intelligence

Brief Introduction to Educational Implications of Artificial Intelligence by David Moursund

Brief Introduction to Educational Implications of Artificial Intelligence

Brief Introduction to Educational Implications of Artificial Intelligence by David Moursund
Brief Introduction to Educational Implications of Artificial Intelligence by David Moursund
Publisher: University of Oregon 2006
Number of pages: 75
This book is designed to help preservice and inservice teachers learn about some of the educational implications of current uses of Artificial Intelligence as an aid to solving problems and accomplishing tasks. Humans and their predecessors have developed a wide range of tools to help solve the types of problems that they face. Such tools embody some of the knowledge and skills of those who discover, invent, design, and build the tools. Because of this, in some sense a tool user gains in knowledge and skill by learning to make use of tools.
Computers & Internet Computer Science Artificial Intelligence
Go To Read/Download Page
Home Page

More Free E-Books For Artificial Intelligence

Similar Books For Artificial Intelligence

1. Interacting with Presence by Giuseppe Riva
2. Human Computer Confluence by Andrea Gaggioli, et al.
3. Applied Artificial Neural Networks by Christian Dawson
4. How Mobile Robots Can Self-organise a Vocabulary by Paul Vogt
5. Statistical Foundations of Machine Learning by Gianluca Bontempi, Souhaib Ben Taieb
6. Probabilistic Models in the Study of Language by Roger Levy
7. Computer Vision Metrics: Survey, Taxonomy, and Analysis by Scott Krig
8. Statistical Learning and Sequential Prediction by Alexander Rakhlin, Karthik Sridharan
9. Neural Network Design by Martin T. Hagan, et al.
10. Bayesian Network by Ahmed Rebai (ed.)
11. Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz, Shai Ben-David
12. The Playful Machine by Ralf Der, Georg Martius
13. Deep Learning Tutorial by LISA lab
14. Voice Communication with Computers: Conversational Systems by C. Schmandt
15. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing by Rebecca E. Skinner
16. Lecture Notes in Machine Learning by Zdravko Markov
17. Machine Learning and Data Mining: Lecture Notes by Aaron Hertzmann
18. Learning Deep Architectures for AI by Yoshua Bengio
19. The Thousand Faces of Virtual Reality by Cecilia Sik Lanyi (ed.)
20. Ethical Artificial Intelligence by Bill Hibbard
21. An Introduction to Statistical Learning by G. James, D. Witten, T. Hastie, R. Tibshirani
22. Deep Learning in Neural Networks: An Overview by Juergen Schmidhuber
23. 3D Video Processing and Transmission Fundamentals by Chaminda Hewage
24. Deep Learning by Yoshua Bengio, Ian Goodfellow, Aaron Courville
25. Algorithms for Reinforcement Learning by Csaba Szepesvari
26. Neural Networks and Deep Learning by Michael Nielsen
27. Neural Networks by Milan Hajek
28. A Survey of Statistical Network Models by A. Goldenberg, A.X. Zheng, S.E. Fienberg, E.M. Airoldi
29. Machine Learning: The Complete Guide by
30. Modern Robotics with OpenCV by Widodo Budiharto
31. Artificial Intelligence and Cognition by Antonio Lieto, Marco Cruciani (eds)
32. Introduction to Machine Learning by Alex Smola, S.V.N. Vishwanathan
33. Notes on Elementary Spectral Graph Theory by Jean Gallier
34. An Introductory Study on Time Series Modeling and Forecasting by Ratnadip Adhikari, R. K. Agrawal
35. The LION Way: Machine Learning plus Intelligent Optimization by Roberto Battiti, Mauro Brunato
36. A Course in Machine Learning by Hal Daumé III
37. Natural Language Processing for Prolog Programmers by Michael A. Covington
38. Fundamentals of Image Processing by Hany Farid
39. Computers and Thought: A practical Introduction to Artificial Intelligence by Mike Sharples, et al.
40. A First Encounter with Machine Learning by Max Welling
41. Design: Creation of Artifacts in Society by Karl T. Ulrich
42. Object Detection in Real Images by Dilip K. Prasad
43. The World and Mind of Computation and Complexity by Gregg Schaffter
44. Artificial Neural Networks: Architectures and Applications by Kenji Suzuki (ed.)
45. Modern Speech Recognition Approaches with Case Studies by S. Ramakrishnan (ed.)
46. Virtual Reality: Human Computer Interaction by Xin-Xing Tang (ed.)
47. Artificial Neural Networks by
48. Current Advancements in Stereo Vision by Asim Bhatti (ed.)
49. An Introduction to Computational Neuroscience by Todd Troyer
50. Machine Translation: an Introductory Guide by Doug Arnold, at al.

Free E-Books For Computers & Internet
Free E-Books For Computer Science
Free E-Books For Artificial Intelligence



Categories