As testing programs transition from paper to online testing, they must study mode comparability to support the exchangeability of scores from different testing modes. To that end, a series of three mode comparability studies was conducted during the 2019-2020 academic year with examinees randomly assigned to take the ACT college admissions exam on…

In 2016, there were 4.9 million students identified as English language learners (ELLs) in U.S. public schools who undergo testing. Students identified as ELLs are allowed to use paperback bilingual dictionaries during testing as an accommodation. When deciding whether to provide the accommodation, teachers need to consider several factors. First,…

In July 2010, the Massachusetts Board of Elementary and Secondary Education (BESE) voted to adopt Common Core's standards in English language arts (ELA) and mathematics in place of the state's own standards in these two subjects. The vote was based largely on recommendations by Commissioner of Education Mitchell Chester and then Secretary of…

For the last century, the quality of large-scale assessment in the United States has been undermined by narrow educational theory and hindered by limitations in technology. As a result, poor assessment practices have encouraged low-level instructional practices that disparately affect students from the most disadvantaged communities and schools.…

Automated Essay Scoring (AES) has garnered a great deal of attention from the rhetoric and composition/writing studies community since the Educational Testing Service began using e-rater[R] and the "Criterion"[R] Online Writing Evaluation Service as products in scoring writing tests, and most of the responses have been negative. While the…

Drawing on the combined theoretical lenses of positioning theory and academic literacies, this article presents case studies of four children from one urban classroom, two of whom scored at or above proficient on the large-scale writing assessments required by their district and state and two of whom scored below. Using criteria from state…

Demands for accountability have seen the implementation of large scale testing programs in Australia and internationally. There is, however, a growing body of evidence to show that externally imposed testing programs do not have a sustained impact on student achievement. It has been argued that teacher assessment is more effective in raising…

A generic approach in automated essay scoring produces scores that have the same meaning across all prompts, existing or new, of a writing assessment. This is accomplished by using a single set of linguistic indicators (or features), a consistent way of combining and weighting these features into essay scores, and a focus on features that are not…

This paper reports on an analysis of large-scale assessments of Grades 5-8 students' writing across 10 provinces and 2 territories in Canada. Theory, classroom practice, and the contributions and constraints of large-scale writing assessment are brought together with a focus on Grades 5-8 writing in order to provide both a broad view of…

This study evaluated large-scale state writing assessments for the inclusion of motivational characteristics in the writing task and written prompt. We identified 6 motivational variables from the authentic activity literature: time allocation, audience specification, audience intimacy, definition of task, allowance for multiple perspectives, and…

This article describes and reviews the Singapore-Cambridge General Certificate of Education Advanced Level General Paper (GP) examination. As a written test that is administered to preuniversity students, the GP examination is internationally recognised and accepted by universities and employers as proof of English competence. In this article, the…

This report evaluates the construct coverage of the e-rater[R[ scoring engine. The matter of construct coverage depends on whether one defines writing skill, in terms of process or product. Originally, the e-rater engine consisted of a large set of components with a proven ability to predict human holistic scores. By organizing these capabilities…

While it is recognised that prior knowledge is a key factor in determining future learning, its influence on learning to teach is less well known. This study investigates two cohorts of teacher candidates studying for a one-year, graduate qualification for primary teaching, who completed two tasks at entry to their initial teacher education…

This article considers the claim that machine scoring of writing test responses agrees with human readers as much as humans agree with other humans. These claims about the reliability of machine scoring of writing are usually based on specific and constrained writing tasks, and there is reason for asking whether machine scoring of writing requires…

The main purpose of the study was to investigate the distinctness and reliability of analytic (or multi-trait) rating dimensions and their relationships to holistic scores and "e-rater"[R] essay feature variables in the context of the TOEFL[R] computer-based test (TOEFL CBT) writing assessment. Data analyzed in the study were holistic…