Linking Competence to Opportunities to Learn: Models of Competence and Data Mining: Innovations in Science Education and Technology, cartea 17
Autor Xiufeng Liuen Limba Engleză Paperback – 28 oct 2010
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 608.78 lei 43-57 zile | |
| SPRINGER NETHERLANDS – 28 oct 2010 | 608.78 lei 43-57 zile | |
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| SPRINGER NETHERLANDS – 15 mai 2009 | 614.73 lei 43-57 zile |
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Specificații
ISBN-13: 9789048182213
ISBN-10: 9048182212
Pagini: 148
Ilustrații: VIII, 140 p.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.22 kg
Ediția:Softcover reprint of hardcover 1st ed. 2009
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Innovations in Science Education and Technology
Locul publicării:Dordrecht, Netherlands
ISBN-10: 9048182212
Pagini: 148
Ilustrații: VIII, 140 p.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.22 kg
Ediția:Softcover reprint of hardcover 1st ed. 2009
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Innovations in Science Education and Technology
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
Equity and Excellence in Standard-Based Education.- Competence and Opportunity to Learn.- Models of Competence and Data Mining.- Models of Competence and Opportunities to Learn in the Classroom.- Models of Competence and Opportunities to Learn at Home.- Models of Competence and Opportunities to Learn in Schools.- Pedagogical and Policy Implications.
Textul de pe ultima copertă
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.
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.
Caracteristici
Links opportunities to learn to student competence status Introduces a powerful new methodology – data mining, including tutorials Contains easy-to-interpret graphical models of competence ea Expands the concept of equity to include opportunity-to-learn Promotes a collaborative partnership among teachers, schools, and parents in student learning