Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

Data gathered from 325 middle school students in four U.S. states indicate that both male (p < 0.0005, RSQ = 0.33) and female (p < 0.0005, RSQ = 0.36) career aspirations for "being a scientist" are predictable based on knowledge of dispositions toward mathematics, science and engineering, plus self-reported creative tendencies. For…

Students across the nation are encountering more and more difficulties in their transition to high school. Not only are a significant number of students dropping out, but those who stay are also leaving high school without the skills they need to become productive citizens. Several intervention strategies are recommended to help students make a…

The purpose of this study is to reveal the metaphors of primary school students (n = 362) relating to the concept of global warming. Data collected by completing the expression of "global warming is like..., because..." of the students were analysed by use of qualitative and quantitative data analysis techniques. According to findings of…

This study examined middle school students' motivation to read using an adapted version of the Motivation to Read Profile (MRP) Survey. The MRP is comprised of items assessing students' self-concepts as readers and their value of reading. In total, 1080 sixth-, seventh-, and eighth-grade students responded. Descriptive and inferential statistics…

The current study investigated how ethnicity and gender affect changes in the self-esteem of early adolescents during the middle school years. Self-report data were collected from more than 4,000 early adolescents from three ethnic groups: European American, African American, and Hispanic and analyzed using a consecutive three-year cross-sectional…

This book contains a compilation of papers presented at the International Conference on Education and New Developments (END 2017), organized by the World Institute for Advanced Research and Science (W.I.A.R.S.). Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…