Today’s technology-based global economy places a high premium on STEM (science, technology, engineering, and mathematics) education. Educators committed to increasing the interest and achievement of females in engineering struggle to find appropriate resources. The Gender and Science Digital Library (GSDL) from Education Development Center, Inc., (EDC) is a unique on-line collection of exemplary resources aimed at encouraging girls and women to pursue science and engineering education and careers. Participants will receive an on-line tour of the GSDL and a hands-on look at exemplary

This paper explores some of the critical issues surrounding gender and technology, examines what they mean for teaching and learning online, and then describes two projects at the Gender and Diversities Institute at EDC. The first project is research on online learning and its links to gender equity. The second project builds on this base to create a gender and science digital library. Both reflect the work of the Gender and Diversities Institute as it tries to determine how best to create web-based resources and materials that value gender and diversity and support the learning needs of

Developed by a panel of experts, this practice guide brings together evidence and expertise to provide educators with specific and coherent evidence-based recommendations on how to encourage girls in the fields of math and science. The objective is to provide teachers with specific recommendations that can be carried out in the classroom without requiring systemic change. Other school personnel having direct contact with students, such as coaches, counselors, and principals may also find the guide useful. The guide offers five recommendations and indicates the quality of the evidence that

ITEST Data Brief Volume 1, Issue 3, June 2012The National Science Foundation ITEST Program explicitly states its commitment to focus on students from groups underserved and underrepresented in STEM and ICT-intensive careers. The ITEST Management Information System (MIS) asked projects to identify characteristics of their student participants, and this Data Brief explores that information to see whether and to what degree projects are working with underserved and underrepresented students.