CAESL 2008: INTERNATIONAL CONFERENCE
ON ASSESSMENT FOR LEARNING IN SCIENCE

SAN FRANCISCO, CALIFORNIA, USA
OCTOBER 21-23, 2008
SAN FRANCISCO MARRIOTT HOTEL

REGISTER

The Center for Assessment and Evaluation of Student Learning (CAESL) is pleased to announce its 5th annual conference: CAESL2008: International Conference on Assessment for Learning in Science.
Researchers and educators from around the world are invited to share information and practices.

Over three days of interactive sessions, panels, discussions, and poster sessions, the conference will promote a constructive dialogue about the latest theory, research and practices in the development of assessment systems for science that help teachers to diagnose student learning in the classroom and which link meaningfully to large scale accountability systems.

All sessions will be practice-oriented, demonstrating ways of developing or working with such assessments and pointing out the likely challenges that will be encountered. Participants will have the opportunity to network with other professionals, to exchange ideas about assessment systems for learning, and to establish new contacts with researchers interested in further interaction and collaborations. Sessions will show ways that different countries create quality assessments that promote learning, and demonstrate how to score and analyze results to serve the needs of both students and teachers.

The conference sessions will focus on the following topics:

  • Formative Assessment in the Classroom
  • Building Teacher Capacity in Assessment
  • Equity in Science Assessment


CALL FOR SESSION PROPOSALS

The CAESL 2008 Conference Planning Group invites submissions for session proposals.
Proposal submissions are due by July 7, 2008.

> Read the full Call for Proposals , or download the RFP (pdf).



NSF

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. This material is based upon work supported by the National Science Foundation under Grant No. 0119790.