Innovations in Science Education and Technology

Linking Competence to Opportunities to Learn

Models of Competence and Data Mining

Authors: Liu, Xiufeng

  • Links opportunities to learn to student competence status
  • Introduces a powerful new methodology – data mining, including tutorials
  • Contains easy-to-interpret graphical models
  • Expands the concept of equity to include opportunity-to-learn
  • Promotes a collaborative partnership among teachers, schools, and parents in student learning
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eBook $109.00
price for USA (gross)
  • ISBN 978-1-4020-9911-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-1-4020-9910-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-90-481-8221-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The current world-wide movement toward standards-based science education is based on a belief that every student, no matter how different he/she is, can and should reach a prescribed level of competence. Yet there are differences in circumstances between students that lie beyond their control, such as classroom, school and family resources and practices. Thus it is more important than ever to identify the particular resources and practices that significantly predict students’ levels of achievement so that strategies can be developed to help students reach competence.

This book applies data mining methodology to the issue of standardizing achievement in science education and develops frameworks of competence in the ‘Opportunity-to-learn’ (OTL) model of science education. It is aimed primarily at science education researchers, but can also be used as a reference by national and state education agencies who are required to make decisions about science curriculum standards and resource allocation. School district personnel will also find it useful in teacher professional development.

Opportunity-to-learn (OTL) refers to the entitlement of every student to receive the necessary classroom, school and family resources and practices to reach the expected competence. This book quantifies and stystematizes OTL by developing models showing how the circumstances of classroom, school and family relate to students’ achievement. Liu has also applied data mining techniques to these models. In addition, the text analyzes policy as well as pedagogical implications for standards-based science education reform.

Table of contents (7 chapters)

  • Introduction Equity and Excellence in Standard-Based Education

    Pages 1-4

  • Competence and Opportunity to Learn

    Pages 5-11

  • Models of Competence and Data Mining

    Pages 13-18

  • Models of Competence and Opportunities to Learn in the Classroom

    Pages 19-41

  • Models of Competence and Opportunities to Learn at Home

    Pages 43-64

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-4020-9911-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-1-4020-9910-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-90-481-8221-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Linking Competence to Opportunities to Learn
Book Subtitle
Models of Competence and Data Mining
Authors
Series Title
Innovations in Science Education and Technology
Series Volume
17
Copyright
2009
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-1-4020-9911-3
DOI
10.1007/978-1-4020-9911-3
Hardcover ISBN
978-1-4020-9910-6
Softcover ISBN
978-90-481-8221-3
Series ISSN
1873-1058
Edition Number
1
Number of Pages
VIII, 140
Topics