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Van Houten, Lori; Dunn, Lenay; Bond, Molly Faulkner; Blitz, Jennifer; Makkonen, Reino; Austin, Kim – Regional Educational Laboratory West, 2021
This guide is designed to help district and school site leaders assess the professional learning needs of elementary school teachers to implement research-based recommendations for the instruction of English learner students. It comprises two tools--the Teacher Self-Reflection Tool and the Classroom Observation Tool--and outlines a 10-step process…
Descriptors: English Language Learners, Elementary School Teachers, Faculty Development, Evidence Based Practice
Bernhardt, Victoria L. – 1998
Data can help identify solutions to some of the biggest problems in schools. Yet few schools use data effectively. The purpose of this book is to help schools become aware of the advantages of collecting and using data (data analysis) for overall school improvement. The book begins with an overview of the current state of education and the…
Descriptors: Automation, Data Analysis, Data Collection, Data Interpretation
Recruiting New Teachers, Inc., Belmont, MA. – 1998
This handbook is designed to help beginning evaluators of teacher recruitment programs. It addresses the information and assessment needs of teacher recruitment programs. It takes a hands-on approach and includes worksheets and instructions for using them. After presenting tips for getting started, the handbook offers eight steps to successful…
Descriptors: Data Analysis, Data Collection, Data Interpretation, Elementary Secondary Education
Tracey, Richard – 1985
Ways to interpret data from student ratings of teacher performance and approaches to maximize the use of student ratings are considered, based on the experiences of the Center for Instructional Development and Research (CIDR) at the University of Washington (UW). The use of student ratings at UW and other colleges is briefly considered, along with…
Descriptors: Data Interpretation, Evaluation Utilization, Graduate Students, Higher Education
Moore, Nick – 1989
This manual identifies a series of performance measurements which, when assessed in their totality, can effectively measure a public library's level of service to its users. The measures have been developed at two levels. On one level, the measures can broadly evaluate the overall performance of library systems on the national level; on a second,…
Descriptors: Attitude Measures, Data Interpretation, Evaluation Criteria, Library Collections
Greenwald, Anthony G. – 1996
Higher education relies on student ratings to evaluate faculty teaching, partly because the alternatives (expert peer appraisals or objective performance criteria) are costly or unavailable. Because student ratings are crucial not only to improving instruction, but also in making or breaking faculty careers, it is important to assure that they…
Descriptors: Course Evaluation, Course Selection (Students), Data Interpretation, Grade Inflation
Brinckerhoff, Loring C.; And Others – 1988
The paper focuses on three critical programming issues in providing support services to higher education students with learning disabilities. The first issue concerns the garnering of administrative support for students with learning disabilities. Administrative support cannot be effectively achieved until college administrators determine where…
Descriptors: Accountability, College Administration, College Programs, College Students
Duke, Daniel L.; Stiggins, Richard J. – 1986
This guide, written for teachers and administrators wishing to introduce evaluation systems that promote continued teacher growth and enhance school effectiveness, suggests that meaningful change requires a clear understanding of what is already in operation, substantial skill development, and adequate resources for the duration of the change…
Descriptors: Administrator Characteristics, Administrator Role, Board of Education Policy, Data Collection
Lehman, Penny W.; And Others – 1992
The Community College Student Experiences Questionnaire (CCSEQ) is an instrument designed to determine how community college students spend their time and what quality of effort they put into learning. Specifically, the content of the questionnaire focuses on four elements: who students are and why they are at the college; how extensively and…
Descriptors: College Environment, Community Colleges, Comparative Analysis, Data Collection