Schools face enormous challenges regarding how to operate efficiently and safely for the 2020-21 school year. As part of that response, some state leaders are asking the U.S. Department of Education to waive the annual federal testing and accountability requirements for 2021, which are key to understanding and addressing gaps in education among…

Professional development is an important part of creating a culture of continuous school improvement to maximize student learning. Rarely do we measure the impact of professional development on teacher learning, implementation and student outcomes. This study describes a professional development strategy for elementary teachers to promote…

The study examines the role that perceptions or impressions of learning environments and assessments play in students' performance on a large-scale standardized test. Hierarchical linear modeling (HLM) was used to test aspects of the Learning Errors and Formative Feedback model to determine how much variation in students' performance was explained…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

In conducting this review, we examine literature that explores the merits and shortcomings of ELP test design and testing as they have evolved over time through the current era of CCR standards. In the first section, we situate the role of language testing in its broader historical and policy context. In the second section, we examine the evolving…

Nationally, there are dozens of established indicators of school performance and thousands of possible combinations of those indicators to create an accountability framework. How do policy makers decide which variables are most important? This relates to measurement modeling -- that is, how to incorporate all pieces of the puzzle into a…

This article demonstrates the use of a new class of model-free cumulative sum (CUSUM) statistics to detect person fit given the responses to a linear test. The fundamental statistic being accumulated is the likelihood ratio of two probabilities. The detection performance of this CUSUM scheme is compared to other model-free person-fit statistics…

It is our belief that the story of how the composition faculty convinced administration to move from a rubric-based assessment model to a more qualitative model is both interesting and beneficial for others facing similar challenges. In the following five articles, Katie discusses how the experience of such assessment affected the faculty, Jeff…

The conceptual categories that underlie the business analysis of intellectual capital are relevant to providing an explanation of school performance. By gathering data on student learning, this research provides empirical evidence for the use of school results as an accurate indicator of the effectiveness of the management of public education.…

We illustrate a class of multidimensional item response theory models in which the items are allowed to have different discriminating power and the latent traits are represented through a vector having a discrete distribution. We also show how the hypothesis of unidimensionality may be tested against a specific bidimensional alternative by using a…

Describes a Florida county's attempt to address increasing demands for assessment. Guided by responses from 1,007 administrators and teachers (75 percent of a random sample of 1,343), a broad assessment framework was developed encompassing advocacy, administration, reporting, training and development, and technical assistance. (13 references) (MLF)

A new assessment conception is described that integrates constructed-response testing, artificial intelligence, and model-based measurement. The conception incorporates complex constructed-response items for their potential to increase the validity, instructional utility, and credibility of standardized tests. Artificial intelligence methods are…

The purpose for which a test is needed is the most important criterion for deciding which type of student assessment tool should be used. Standardized tests were developed as sorting instruments based upon certain views of knowledge and learning. Educators, according to their own values, must either bring standardized tests more into line with…

To say that assessments must be authentic, dynamic, fluid, and formative is not to say that normative, standardized evaluations have no place in the overall assessment scheme. What is needed is a combination and balance of assessments. The tri-assessment model promotes using traditional assessments along with portfolio and performance assessments.…

Tennessee has adopted a model of educational accountability called the Tennessee Value-Added Assessment System (TVAAS). The model attempts to measure district, school, and teacher effects on student academic gains, rather than emphasizing achievement scores at a single time, using data generated by a standardized test, the Tennessee Comprehensive…