Thinking With Data (Carnegie Mellon Symposia on Cognition Series) - Image 1

£86.75

Routledge Thinking With Data (Carnegie Mellon Symposia on Cognition Series)

Name: Thinking With Data (Carnegie Mellon Symposia on Cognition Series)
Brand: Routledge
Price: 86.75 GBP
Availability: InStock

Cognition & Cognitive Psychology

This is the most expensive it has ever been. Walk away.

£87 today · previous high £87 · all-time low £80

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 619 days • 619 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 619 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £80 (331 days, 53.5%)

Price range: £80 - £87

Price levels: 3 different prices over 619 days

Description

The chapters in Thinking With Data are based on presentations given at the 33rd Carnegie Symposium on Cognition. The Symposium was motivated by the confluence of three emerging trends: (1) the increasing need for people to think effectively with data at work, at school, and in everyday life, (2) the expanding technologies available to support people as they think with data, and (3) the growing scientific interest in understanding how people think with data. What is thinking with data? It is the set of cognitive processes used to identify, integrate, and communicate the information present in complex numerical, categorical, and graphical data. This book offers a multidisciplinary presentation of recent research on the topic. Contributors represent a variety of disciplines: cognitive and developmental psychology; math, science, and statistics education; and decision science. The methods applied in various chapters similarly reflect a scientific diversity, including qualitative and quantitative analysis, experimentation and classroom observation, computational modeling, and neuroimaging. Throughout the book, research results are presented in a way that connects with both learning theory and instructional application. The book is organized in three sections: Part I focuses on the concepts of uncertainty and variation and on how people understand these ideas in a variety of contexts. Part II focuses on how people work with data to understand its structure and draw conclusions from data either in terms of formal statistical analyses or informal assessments of evidence. Part III focuses on how people learn from data and how they use data to make decisions in daily and professional life.

Product Specifications

Brand: Routledge
Format: hardcover
ASIN: 0805854215
Category: Books > Subjects > Health, Family & Lifestyle > Psychology & Psychiatry > Cognition & Cognitive Psychology
Domain: Amazon UK
Release Date: 21 May 2007
Listed Since: 01 February 2007

Barcode

No barcode data available

Routledge Thinking With Data (Carnegie Mellon Symposia on Cognition Series)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Research on Reasoning with Data and Statistical Thinking: International Perspectives (Advances in Mathematics Education)

Data Wise in Action: Stories of Schools Using Data to Improve Teaching and Learning

Data Analysis and Related Applications 3: Theory and Practice, New Approaches (Innovation, Entrepreneurship, Management: Big Data, Artificial Intelligence and Data Analysis, 11)

Communicating with Data: The Art of Writing for Data Science

Communicating with Data: The Art of Writing for Data Science

Springer Advanced Data Analytics in Health - Smart Innovation 93

Data and Analytics Strategy for Business: Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy

Achieving Greater Educational Impact Through Data Intelligence: Practice, Challenges And Expectations Of Education: 15 (East China Normal University Scientific Reports)

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)

Foundations of Data Science for Engineering Problem Solving: 94 (Studies in Big Data, 94)

Towards Digital Intelligence Society: A Knowledge-based Approach: 1281 (Advances in Intelligent Systems and Computing, 1281)

Data Science in Practice: 46 (Studies in Big Data, 46)

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)

No Bullshit Math for Data Science: Your Comprehensive, Short and Sharp Guide to the Mathematics of Data Science

Selected Contributions on Statistics and Data Science in Latin America: 33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1-5: 301 (Springer Proceedings in Mathematics & Statistics, 301)

Data Science and Big Data in Biology, Physical Science and Engineering

Data-based Decision Making in Education: Challenges and Opportunities: 17 (Studies in Educational Leadership, 17)

Data Strategy in Colleges and Universities: From Understanding to Implementation

Communicating with Data: Making Your Case with Data

An Introduction to Data Analysis: Quantitative, Qualitative and Mixed Methods

Modern Data Visualization with R (Chapman & Hall/CRC The R Series)

Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations: 3

Data Science and Its Applications

The Data Science Framework: A View from the EDISON Project