As the stakes get higher, The Princeton Review continues to prepare students for success. Students must now meet performance levels on all five of the Ohio Graduation Tests in order to receive their diplomas. Passing rates for field tests are currently 63 percent for mathematics and 75 percent for reading. Now more than ever before, students will benefit from these essential guides! Many students don’t get the preparation they need to ace the mathematics and reading exams—and that’s why the experts at The Princeton Review have thoroughly researched these tests to provide the most comprehensive instruction on the market. Each book contains two full-length practice tests that are just like the actual exams, so students can get all the preparation they need to ace the exams and earn higher grades in school.

"Susan Ruckdeschel provides a clear rationale for having student writers coach each other as they revise their work. Her explanations, examples, practical tips, and reproducibles enable teachers to use the process successfully in their own classrooms. This peer review process is straightforward, engaging, and flexible, and aims to develop students′ independence as writers." —Denise Nessel, Education Consultant and Mentor National Urban Alliance for Effective Education Help students develop their "inner editor" through the power of peer coaching! Students who understand how to analyze the writing of others can use those skills to improve their own writing. Peer coaching is a collaborative process that engages learners in student-to-student interactions to help them become more proficient writers. Susan Ruckdeschel provides a concise road map for using peer coaching to help secondary students clarify their writing goals and deepen their understanding of effective writing. Aligned with state and IRA/NCTE standards, Peer Coaching for Adolescent Writers shows teachers how to teach students to articulate a purpose for their writing, formulate questions for feedback, provide constructive comments to their peers, and incorporate the critiques of their peers into their writing. Designed for ease of use, this book offers: Clear, step-by-step tips for implementing the peer coaching process Ideas for using peer coaching across content areas An appendix of ready-to-go reproducible forms, including scripts, checklists, rubrics, and more Transcripts, photos, and classroom examples throughout Adaptations for students with special needs and English language learners By developing their writing and editing skills through the peer review process, students can become effective communicators both in and out of the classroom.

This is Volume 34, Number 1 of the Spring 2009 edition of the Journal of Museum Education with the topic of Museums and Schools. It includes articles on provoking innovations, developing a partnership between teachers and museum educators, collaboration between science centre and the science industry, online museums, Ohio program National History Day Project and an appraisal of didactic material used by high school teachers.

This volume contains the papers presented at the 12th Annual Conference on Algorithmic Learning Theory (ALT 2001), which was held in Washington DC, USA, during November 25–28, 2001. The main objective of the conference is to provide an inter-disciplinary forum for the discussion of theoretical foundations of machine learning, as well as their relevance to practical applications. The conference was co-located with the Fourth International Conference on Discovery Science (DS 2001). The volume includes 21 contributed papers. These papers were selected by the program committee from 42 submissions based on clarity, signi?cance, o- ginality, and relevance to theory and practice of machine learning. Additionally, the volume contains the invited talks of ALT 2001 presented by Dana Angluin of Yale University, USA, Paul R. Cohen of the University of Massachusetts at Amherst, USA, and the joint invited talk for ALT 2001 and DS 2001 presented by Setsuo Arikawa of Kyushu University, Japan. Furthermore, this volume includes abstracts of the invited talks for DS 2001 presented by Lindley Darden and Ben Shneiderman both of the University of Maryland at College Park, USA. The complete versions of these papers are published in the DS 2001 proceedings (Lecture Notes in Arti?cial Intelligence Vol. 2226).