Fr. 189.00

Computer-Aided Data Analysis in Chemistry Education Research (Cadacer) - Advances and Avenues

English · Hardback

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Description

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This book offers interesting ways to look at research problems in education research by using Computer-aided tools. The focus of the book is to solve problems, to answer research questions in innovative ways using modern technology, and to look at and make sense of data by using tools that add both order and efficiency.

About the author










Dr. Tanya Gupta is an Assistant Professor in the department of Chemistry and Biochemistry at South Dakota State University. Her research interests focus on development and integration of simulations and games; guided-inquiry based curriculum for interdisciplinary science instruction, and Eye-tracking methodology to study student problem solving behavior. She did her postdoc at Grand Valley State University on Target-Inquiry Program. Dr. Gupta also serves as a member
of the American Chemical Society's Committee on Computers in Chemical Education and NSTAs College Science Teaching Committee.

Summary

This book offers interesting ways to look at research problems in education research by using Computer-aided tools. The focus of the book is to solve problems, to answer research questions in innovative ways using modern technology, and to look at and make sense of data by using tools that add both order and efficiency. Educators began using computers for developing and disseminating curriculum in the 1960's. The next five decades (1960-2010) saw a revolution as
educational research underwent a transformation from being manual to computer based.

The emphasis of this book is on how one might use various computer software or programs in different ways to support the management of the data and the analysis process. Author Tonya Gupta's motivation of this book comes from discussions in the field of chemical and science education about research methods and the availability of computer-aided tools that were available. The book aims to advance these discussions and provide new ideas to readers on the use of data analysis tools.

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