The chapters in this collection illustrate how current concepts and principles from various disciplines can be viewed from the perspective of their value to educational process thinking. While not providing specific prescriptions for educational problems, the articles provide relevant experimental and theoretical knowledge has accumulated in many fields including learning theory, cognitive development, motivation, and intellectual abilities and attitudes.

Learning for the Age of Artificial Intelligence is a richly informed argument for curricular change to educate people towards achievement and success as intelligent machine systems proliferate. Describing eight key competences, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the knowledge, skills, and environments that students need to thrive and avoid displacement in today's technology-enhanced culture and workforce. Essential insights into school operations, machine learning, complex training and assessment, and economic challenges round out this cogent, relatable discussion about the imminent evolution of the education sector.

Originally published in 1981, this volume is the edited proceedings of a conference held at the Learning Research and Development Center of the University of Pittsburgh in September 1979. The 15 chapters share a number of common issues. These include the role of contextual influences on lexical access, specific models of lexical access and word pronunciation, speech and visual processes in reading, the role of knowledge in comprehension, and sources of skill difference and skill development.

Originally published in 1981, this volume is the edited proceedings of a conference held at the Learning Research and Development Center of the University of Pittsburgh in September 1979. The 15 chapters share a number of common issues. These include the role of contextual influences on lexical access, specific models of lexical access and word pronunciation, speech and visual processes in reading, the role of knowledge in comprehension, and sources of skill difference and skill development.

The chapters in this collection illustrate how current concepts and principles from various disciplines can be viewed from the perspective of their value to educational process thinking. While not providing specific prescriptions for educational problems, the articles provide relevant experimental and theoretical knowledge has accumulated in many fields including learning theory, cognitive development, motivation, and intellectual abilities and attitudes.

This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less well defined or where student-system interactions are less structured, such as during scenario-based simulation and immersive serious games. In order to address how to expand the reach of adaptive training technology to these domains, leading experts in the field present their work in areas such as student modeling, pedagogical strategy, knowledge assessment, natural language processing and virtual human agents. Several approaches to designing adaptive technology are discussed for both traditional educational settings and professional training domains. This book will appeal to anyone concerned with educational and training technology at a professional level, including researchers, training systems developers and designers.

Learning for the Age of Artificial Intelligence is a richly informed argument for curricular change to educate people towards achievement and success as intelligent machine systems proliferate. Describing eight key competences, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the knowledge, skills, and environments that students need to thrive and avoid displacement in today’s technology-enhanced culture and workforce. Essential insights into school operations, machine learning, complex training and assessment, and economic challenges round out this cogent, relatable discussion about the imminent evolution of the education sector.

Table of Contents

1. Overview

2. Human Life in the Age of Smart Machines

3. Competence Needed to Work in the Age of Smart Machines

4. Public Schools Today and What Is Missing

Introduction

Goals of Education in the Past

Goals for Education in the Future

5. Schooling: Curriculum and How It Should Change

Transition: Living in Two School Worlds at Once

The Ability to Learn Efficiently and Quickly

Socioemotional Skills

Skills of Civic Participation

Ability to Evaluate Information

Facility in Collaborative Activity

Management of Personal Finances

Confidence

Physical and Mental Fitness

6. Where Can Children Learn All This?

The Importance of Redundancy

7. Some Personal Reflections

8. How Do Schools Evolve?

Dealing with the History of American Education

Schooling in the Age of Smart Machines

9. Apprenticeships and Similar Experiences

Traditional Apprenticeships

Porous Career Paths

Learning the Eight Competences In and Out of School

Deepening the Subject-Matter Curriculum

An Example of In-School Focus on the Eight Competences

Out-of-School Opportunities for Every Child

10. Creating a "Third Place"

11. A Few Possible Ways to Address the Eight Competences

Stories

Informal Apprenticeships

Scaffolded Real Tasks

Scaffolded Simulated Tasks

Games

Clubs and Sports

Governance Structures

12. Learning to Teach the Eight Competences

Teachers

Parents, Political Leaders, and Business Leaders

"Third Places"

13. Assessing Learning of the Eight Competences

The Tyranny of Assessments

Tests That Do Good without Causing Problems

Stealth Assessment

Structured Social Moderation and the Use of Rubrics

Simulation-Based Assessment

A Choice: Continuous Improvement for All Children or Strong Public Control

Transparency

14. Concluding Observations

Preserving Democracy

The Value of Redundancy

The Role of Charters

Lifelong learning

Needed Data Systems

Investing in Learning Opportunities

It Is Time to Act

Other Countries Are Pursuing These Goals

A Possible Path toward a Transformed Educational System

We Are a Society that Can Do Hard Things

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This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less well defined or where student-system interactions are less structured, such as during scenario-based simulation and immersive serious games. In order to address how to expand the reach of adaptive training technology to these domains, leading experts in the field present their work in areas such as student modeling, pedagogical strategy, knowledge assessment, natural language processing and virtual human agents. Several approaches to designing adaptive technology are discussed for both traditional educational settings and professional training domains. This book will appeal to anyone concerned with educational and training technology at a professional level, including researchers, training systems developers and designers.