Liu Linking Competence to Opportunities to Learn

Models of Competence and Data Mining
1. Auflage 2009
ISBN: 978-1-4020-9911-3
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 140 Seiten

For many people, a high standard for student learning is desirable. This is what underlies current standard-based science education reforms around the world. As someone who was born and brought up in a less-privileged home and educated in a resource-limited school environment in a developing country, I always had to study hard to meet various standards from elementary to high school to univ- sity. My first book in English published over 10 years ago (Liu, X. [1996]. Mathematics and Science Curriculum Change in the People’s Republic of China. Lewiston, NY: The Edwin Mellen Press) provided me an opportunity to examine standards (i. e. , Chinese national science teaching syllabi) from a historical and political point of view. I argued that standards are developed for particular poli- cal agendas in order to maintain the privileged position of certain groups (i. e. , urban residents) in a society at expenses of others (i. e. , rural residents). Thus, underneath standards is systematic discrimination and injustice. Since then, I have had opportunities to study the issue of standards in much more breadth and depth. This book, Linking Competence to Opportunities to Learn: Models of Competence and data mining, provides me an opportunity to examine standards from a different perspective: opportunity to learn.

Autoren/Hrsg.

Liu, Xiufeng

Inhaltsverzeichnis

1;Preface;6
2;Contents;8
3;Equity and Excellence in Standard-Based Education;10
4;Competence and Opportunity to Learn;14
5;Models of Competence and Data Mining;21
6;Models of Competence and Opportunities to Learn in the Classroom;27
7;Models of Competence and Opportunities to Learn at Home;50
8;Models of Competence and Opportunities to Learn in Schools;72
9;Pedagogical and Policy Implications;89
10;References;95
11;Variables Related to Teaching Practices Measured in 1996 for Grades 4 and 8 NAEP Science;101
12;Variables Related to Family Background and Home Environment Measured in 1996 for Grades 4 and 8 NAEP Science;107
13;Variables Related to School Context Measured in 1996 for Grades 4 and 8 NAEP Science;110
14;Accuracy Measures of Competence Models;118
15;Tutorial on the Weka Machine Learning Workbench;123
16;Machine Learning Algorithms Implemented in Weka;133
17;Author Index;138
18;Subject Index;141