Socrates Digital™ for Learning and Problem Solving

Socrates Digital™ for Learning and Problem Solving

Release Date: November, 2021|Copyright: © 2022 |Pages: 383
DOI: 10.4018/978-1-7998-7955-8
ISBN13: 9781799879558|ISBN10: 1799879550|ISBN13 Softcover: 9781799879565|EISBN13: 9781799879572
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Description & Coverage
Description:

There is a tremendous need for computer scientists, data scientists, and software developers to learn how to develop Socratic problem-solving applications. While the amount of data and information processing has been accelerating, our ability to learn and problem-solve with that data has fallen behind. Meanwhile, problems have become too complex to solve in the workplace without a concerted effort to follow a problem-solving process. This problem-solving process must be able to deal with big and disparate data. Furthermore, it must solve problems that do not have a “rule” to apply in solving them. Moreover, it must deal with ambiguity and help humans use informed judgment to build on previous steps and create new understanding. Computer-based Socratic problem-solving systems answer this need for a problem-solving process using big and disparate data. Furthermore, computer scientists, data scientists, and software developers need the knowledge to develop these systems.

Socrates Digital™ for Learning and Problem Solving presents the rationale for developing a Socratic problem-solving application. It describes how a computer-based Socratic problem-solving system called Socrates Digital™ can keep problem-solvers on track, document the outcome of a problem-solving session, and share those results with problem-solvers and larger audiences. In addition, Socrates Digital™ assists problem-solvers in combining evidence about their quality of reasoning for individual problem-solving steps and their overall confidence in the solution. Socrates Digital™ also captures, manages, and distributes this knowledge across organizations to improve problem-solving. This book also presents how to build a Socrates Digital™ system by detailing the four phases of design and development: understand, explore, materialize, and realize. The details include flow charts and pseudo-code for readers to implement Socrates Digital™ in a general-purpose programming language. The completion of the design and development process results in a Socrates Digital™ system that leverages artificial intelligence services from providers that include Apple, Microsoft, Google, IBM, and Amazon. In addition, an appendix provides a demonstration of a no-code implementation of Socrates Digital™ in Microsoft Power Virtual Agent.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Cognitive Psychology
  • Database System Integration
  • Individual Human Learning
  • Instructional Design
  • Knowledge Management System Integration
  • Metacognitive Knowledge
  • Organizational Learning
  • Procedural Knowledge
  • Stand-Alone Applications
Reviews & Statements

“We see every day in the news how we are challenged to solve our most difficult problems. Socrates DigitalTM for Learning and Problem-Solving will change how we approach these problems. It describes how to write a Socrates Digital application in a general-purpose programming language that leverages cloud-based artificial intelligence services such as natural language processing and data manipulation techniques. Offerors of these cloud-based AI services include Microsoft, Apple, Google, IBM, and Apple. Most of these cloud-based AI services come with no-code development features that provide a quick and easy means for creating a Socrates Digital application.”

– Mark Salisbury,
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Editor/Author Biographies

Mark Salisbury is a scientist, professor, leader, speaker, author, and consultant. He has a master’s degree in computer and information science and a Ph.D. in computers and education from the University of Oregon. He also holds a master of arts in teaching economics from Western Oregon University.

After completing his graduate studies, Mark worked for eleven years at The Boeing Company in Seattle, Washington. He spilt his time at Boeing between the research and development of intelligent human/computer software and computer-based training programs.

After leaving Boeing, Mark founded Vitel, Inc., a knowledge management solution provider for the U.S. Department of Defense (DOD), U.S. Department of Energy (DOE), the national defense laboratories, and public utility companies. Also, Mark was a professor and program director at the University of New Mexico for seventeen years. He published extensively in artificial intelligence and knowledge management, received a nomination for teacher of the year, and co-founded the Organization, Information, and Learning Sciences program.

Currently, he is a professor of Computer Science and Organizational Development and Change at the University of St. Thomas.

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