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Dahm, Kevin – Journal of STEM Education: Innovations and Research, 2014
ABET requires that engineering programs demonstrate continuous assessment and continuous improvement in order to be accredited. Central to the process is establishing and assessing measurable "student outcomes" that reflect whether the goals and objectives of the program are being met. This paper examines effective strategies for…
Descriptors: STEM Education, Scoring Rubrics, Grading, Assignments
Conderman, Greg; Hedin, Laura – Kappa Delta Pi Record, 2012
The accountability movement in education has caused school administrators and teachers to think differently about how they report, interpret, and use student assessment data. For example, legislative measures such as No Child Left Behind require school officials to report how all students are progressing toward established standards typically…
Descriptors: Student Evaluation, Instructional Effectiveness, Teaching Methods, Feedback (Response)
Brady, Leighangela; McColl, Lisa – Eye on Education, 2010
Learn assessment strategies that provide you with a real representation of student progress--without the need for excessive tests. In "Test Less, Assess More: A K-8 Guide to Formative Assessment", authors Leighangela Brady and Lisa McColl show you how to turn daily classroom lessons and activities into valuable opportunities for assessment,…
Descriptors: Student Evaluation, Formative Evaluation, Educational Assessment, Methods
Popham, W. James – Educational Leadership, 2009
Despite repeated calls for educators to get more instructional mileage out of the assessment data they have at hand, two deterrents typically stand in the way of most educators' effective use of test data. First, there's a missing "realization", and second, there's a missing "skill". Educators who possess both this realization and this skill will…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Student Evaluation
Robertson, Heather-Jane – Phi Delta Kappan, 2000
Fournier, coordinator of the School Achievement Indicators Program (SAIP), claims that score differences are associated with linguistic and gender differences. These results have long been substantiated. The expectation-setting process has little reliability or validity. SAIP does not help teachers, and should not determine what students learn.…
Descriptors: Data Collection, Data Interpretation, Elementary Secondary Education, Expectation
Pijl, Sip J.; Hamstra, Dorien – International Journal of Inclusive Education, 2005
In the evaluation of an experimental, full inclusion model in the Netherlands, data on participating pupils with special needs were collected. The evaluation focused on social/emotional functioning, pupil behaviour and the quality of education. Independent assessors were invited to study the files of 24 pupils and evaluate their development and…
Descriptors: Foreign Countries, Special Needs Students, Educational Needs, Inclusive Schools
Weaver-Kaulis, Amy; Crutsinger, Christy – Journal of Family and Consumer Sciences, 2006
Accreditation, budget, and accountability pressures at the institution and program levels lead to the involvement of faculty in assessment-based activities. Increasingly, programs are being expected to document student learning beyond traditional course grades. The use of outcomes as a tool to improve learning relies heavily on the active…
Descriptors: Student Evaluation, Outcomes of Education, Consumer Science, Program Effectiveness
Farlow, Leslie J.; Snell, Martha E. – 1994
This manual presents 12 guidelines to help teachers of students with mental retardation make more informed decisions about instruction by gathering and using student performance data. Development of the guidelines incorporated both teachers' recommendations and researchers' findings about what procedures work best, and guidelines were tested in…
Descriptors: Case Studies, Data Collection, Data Interpretation, Diagnostic Teaching
Bernhardt, Victoria L. – Eye on Education, 2005
This book helps you make sense of the data your school collects, including state student achievement results as well as other qualitative and quantitative data. Easy-to-use templates, tools, and examples are available on the accompanying CD-ROM. High stakes accountability requires that you develop your understanding of who your students are and…
Descriptors: Data Analysis, Accountability, Academic Achievement, High Schools
Crowley, Catherine J. – 2003
This digest discusses the difficulty of assessing the speech and language of culturally and linguistically diverse students and recommends strategies for identifying communication disorders. It begins by reviewing what qualifies as a communication disorder, discussing the limitations of speech and language tests, and outlining test considerations.…
Descriptors: Clinical Diagnosis, Communication Disorders, Cultural Influences, Data Collection

Gable, Robert A.; Arllen, Nancy L.; Evans, William H.; Whinnery, Keith M. – Preventing School Failure, 1997
This discussion of collaboration between general and special educators focuses on selection of instructional interventions in mainstream settings and curriculum-based methods of evaluating programs designed to increase the academic performance of students with and without disabilities. It then suggests ways to incorporate data-based decision…
Descriptors: Curriculum Based Assessment, Data Collection, Data Interpretation, Decision Making
Koenig, Judith Anderson, Ed. – 2002
Officials with the National Center for Education Statistics asked the National Research Center's Board on Testing and Assessment to convene a workshop to assist them with their decisions about reporting results for accommodating test takers. The day-long workshop brought together four panels of representatives from state assessment offices,…
Descriptors: Data Collection, Data Interpretation, Disabilities, Educational Assessment

Popham, W. James – Educational Leadership, 2003
Discusses which kinds of data educators should respect and which they should reject. Asserts that most state accountability tests fail to produce the kinds of data that will improve teaching and learning. Teachers can get the data they need from their own instructionally useful classroom assessments. (WFA)
Descriptors: Academic Achievement, Accountability, Data Analysis, Data Collection
Harlen, Wynne – 1994
This paper gives an overview of the methods of moderation, or quality assurance and quality control, as they may be more widely known, that are used to enhance the quality of student assessment. The discussion is based on the educational systems of the United Kingdom but is applicable to assessment in other countries. Quality in assessment is seen…
Descriptors: Accreditation (Institutions), Criteria, Data Collection, Data Interpretation
Ysseldyke, James; And Others – 1994
This paper examines issues in gathering data for purposes of making accountability decisions for students with disabilities. The first section describes five alternative methods being used: (1) administration of norm-referenced tests; (2) focus on results or outcomes; (3) Individualized Education Program aggregation; (4) secondary analysis of…
Descriptors: Accountability, Data Collection, Data Interpretation, Decision Making
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