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Supernumerary Intelligence: A New Approach to Analytics for Management Hardcover

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John W. Dickey,

Ian A. Birdsall,

G. Richard Larkin

Title

Supernumerary Intelligence: A New Approach to Analytics for Management Hardcover

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Overview

 

Much of our life is consumed looking for quantitative relationships. For example, How much more sleep do I need at night to make me feel better? How many calories do I need to eliminate to lose weight? How much larger does my budget on the job need to be for me to be more effective? All these quantitative questions are preceded, and depend on, qualitative questions. For example, before I decide how much extra sleep I need at night, I need to determine if extra sleep will actually make me feel better.... In another example, I need to determine if a larger budget will make me more effective on the job, before I think about how much more money I will need. What elements influence job performance, and how do they interact? We spend much of our life trying to find answers to such quantitative and qualitative questions. We are, then, in search of a kind of intelligence that includes numbers but is also above and beyond them. We call it 'supernumerary' intelligence (SI).

To aid our quest for SI, we use Quantitative CyberQuest (QCQ) and the Public Administration Genome Project (PAGP) as useful tools. QCQ is a philosophy as well as an analytic tool that helps in exploring the supernumerary. QCQ is particularly wellsuited for sorting out variables as well as their interrelations. It involves a combination of statistics, systems analysis, research methodology, qualitative research, and artificial intelligence. QCQ also provides a relatively easy to understand but still powerful set of tools and guidance mechanisms to pilot (the 'Cyber' part) users in their 'Quest' for supernumerary relationships.

CONTENTS
Foreword, Christine Tippett. Preface. SECTION I: PRE-K THROUGH ADULT. Planetarium-Based Science Visualizations to Support Complex Science Learning for First-Year Middle and High School English Learners, Thomas R. Tretter, Yuliya Ardasheva, Eric Bookstrom, Jameson Bowden, and Mark Duckwall. Dispositions of Scientists in Mainstream Films: The Extraordinary Person Called a Scientist, Ian C. Binns, Catherine M. Koehler, and Mark A. Bloom. Navigating Visual Data Literacy and Inscriptions in the Classroom, Kevin D. Finson, Joanne K. Olson, and Brandon Emig. SECTION II: ELEMENTARY (K–8). Utilizing Visual Data with Tablet Technology in the Primary (K–3) Science Classroom, Bridget T. Miller and Gerald H. Krockover. Using Visual Data in a Professional Development Program to Improve Science Teaching and Learning in K–6 Classrooms, Maria Lawrence and Li-Ling Yang. Teaching Children to Think Critically about Scientists: Examining the Relationship between Representations of Scientists, Process Skills and Visual Thinking Strategies (VTS), Donna Farland-Smith. Astronomy Seen in a New Light: Visualizations for Teaching Elementary and Middle School Students, Timothy Young and Mark Guy. SECTION III: HIGH SCHOOL. How High School Students Construct or Create Animations about Water Boiling, Jennifer L. Albert, Margaret R. Blanchard, and Eric N. Wiebe. Photographs as Static and Concrete Visual Representation to Connect Prior Knowledge and to Stimulate Discussions in Science Classrooms, Hyunju Lee and Allan Feldman. Understanding the Visual Data of Earth’s Ellipse and Axis Tilt, Catherine Lange, Joseph Zawicki, Douglas Anderson, and Kathleen Falconer. Using Web GIS to Promote Geospatial Thinking and Reasoning Skills, Alec M. Bodzin, David Anastasio, and Dork Sahagian. SECTION IV: COLLEGE LEVEL. Using Visual Data with Pre-Service Teachers: From Awareness to Application, Cindi Smith- Walters. Role of Visual Data in Effectively Teaching the Nature of Science, Michael P. Clough. Student-Centered Visualization in General Education Introductory Geoscience Classes, Giuseppina Kysar Mattietti and Erin E. Peters-Burton. Drawing Scientists Together: University Faculty’s Perceptions of Art and Perceived Barriers to Constructing and Implementing Visual Data in Science Classrooms, Renee M. Clary, John Paul Remo, Ryan Walker, and James H. Wandersee (deceased).

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Product Details

 

ISBN-13:	9781623968137
Publisher:	Information Age Publishing
Publication date:	2/2015
Pages:	400

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Price

$85.99

Language

English

Author

John W. Dickey,

Ian A. Birdsall,

G. Richard Larkin

ISBN-13

9781623968304

Publisher

Information Age Publishing

Publish Time

Thu, 03/05/2020 - 12:00

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Flat rate

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10% Discount

Stock level

10

Is Paperback available?

Yes

Paperback

$45.99

Is Hardcover available?

Yes

Hardcover

$85.99

Is Ebook available?

Yes

Ebook

$65

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Ebook

Hardcover Link

Hardcover

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Paperback

Category

Data Analysis

Overview

 

Much of our life is consumed looking for quantitative relationships. For example, How much more sleep do I need at night to make me feel better? How many calories do I need to eliminate to lose weight? How much larger does my budget on the job need to be for me to be more effective? All these quantitative questions are preceded, and depend on, qualitative questions. For example, before I decide how much extra sleep I need at night, I need to determine if extra sleep will actually make me feel better.... In another example, I need to determine if a larger budget will make me more effective on the job, before I think about how much more money I will need. What elements influence job performance, and how do they interact? We spend much of our life trying to find answers to such quantitative and qualitative questions. We are, then, in search of a kind of intelligence that includes numbers but is also above and beyond them. We call it 'supernumerary' intelligence (SI).

To aid our quest for SI, we use Quantitative CyberQuest (QCQ) and the Public Administration Genome Project (PAGP) as useful tools. QCQ is a philosophy as well as an analytic tool that helps in exploring the supernumerary. QCQ is particularly wellsuited for sorting out variables as well as their interrelations. It involves a combination of statistics, systems analysis, research methodology, qualitative research, and artificial intelligence. QCQ also provides a relatively easy to understand but still powerful set of tools and guidance mechanisms to pilot (the 'Cyber' part) users in their 'Quest' for supernumerary relationships.

CONTENTS
Foreword, Christine Tippett. Preface. SECTION I: PRE-K THROUGH ADULT. Planetarium-Based Science Visualizations to Support Complex Science Learning for First-Year Middle and High School English Learners, Thomas R. Tretter, Yuliya Ardasheva, Eric Bookstrom, Jameson Bowden, and Mark Duckwall. Dispositions of Scientists in Mainstream Films: The Extraordinary Person Called a Scientist, Ian C. Binns, Catherine M. Koehler, and Mark A. Bloom. Navigating Visual Data Literacy and Inscriptions in the Classroom, Kevin D. Finson, Joanne K. Olson, and Brandon Emig. SECTION II: ELEMENTARY (K–8). Utilizing Visual Data with Tablet Technology in the Primary (K–3) Science Classroom, Bridget T. Miller and Gerald H. Krockover. Using Visual Data in a Professional Development Program to Improve Science Teaching and Learning in K–6 Classrooms, Maria Lawrence and Li-Ling Yang. Teaching Children to Think Critically about Scientists: Examining the Relationship between Representations of Scientists, Process Skills and Visual Thinking Strategies (VTS), Donna Farland-Smith. Astronomy Seen in a New Light: Visualizations for Teaching Elementary and Middle School Students, Timothy Young and Mark Guy. SECTION III: HIGH SCHOOL. How High School Students Construct or Create Animations about Water Boiling, Jennifer L. Albert, Margaret R. Blanchard, and Eric N. Wiebe. Photographs as Static and Concrete Visual Representation to Connect Prior Knowledge and to Stimulate Discussions in Science Classrooms, Hyunju Lee and Allan Feldman. Understanding the Visual Data of Earth’s Ellipse and Axis Tilt, Catherine Lange, Joseph Zawicki, Douglas Anderson, and Kathleen Falconer. Using Web GIS to Promote Geospatial Thinking and Reasoning Skills, Alec M. Bodzin, David Anastasio, and Dork Sahagian. SECTION IV: COLLEGE LEVEL. Using Visual Data with Pre-Service Teachers: From Awareness to Application, Cindi Smith- Walters. Role of Visual Data in Effectively Teaching the Nature of Science, Michael P. Clough. Student-Centered Visualization in General Education Introductory Geoscience Classes, Giuseppina Kysar Mattietti and Erin E. Peters-Burton. Drawing Scientists Together: University Faculty’s Perceptions of Art and Perceived Barriers to Constructing and Implementing Visual Data in Science Classrooms, Renee M. Clary, John Paul Remo, Ryan Walker, and James H. Wandersee (deceased).

Show more ▼

 

Product Details

 

ISBN-13:	9781623968137
Publisher:	Information Age Publishing
Publication date:	2/2015
Pages:	400