False alarming, or detecting an error when there is not one, is a pervasive problem across numerous industries. The present study investigated the role of elaboration, or additional information about non-error differences in complex visual displays, for mitigating false error responding. In Experiment 1, learners studied errors and non-error…

Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…

Responding to recent challenges to Clay's Running Records (2019) and their analysis using a three-cueing system, the author examines this reading assessment from an additive perspective of both bottom-up and top-down orientations of reading instruction. Endorsing their inclusion among classroom reading assessments, the author navigates the tension…

This article describes a carefully structured exploration of formative assessment, conducted in the form of a classroom research experiment. The authors are an instructor and a student in a graduate course that assigned teachers to research formative assessment strategies, implement one or more strategies for several weeks, collect data from…

Test tampering, especially on tests for educational accountability, is an unfortunate reality, necessitating that the state (or its testing vendor) perform data forensic analyses, such as erasure analyses, to look for signs of possible malfeasance. Few statistical approaches exist for detecting fraudulent erasures, and those that do largely do not…

In this paper we discuss the use of automated assessment in a variety of computer science courses that have been taught at Israel Academic College by the authors. The course assignments were assessed entirely automatically using Checkpoint, a web-based automated assessment framework. The assignments all used free-text questions (where the students…

Retrieval practice is a powerful way to promote long-term retention and meaningful learning. However, students do not frequently practice retrieval on their own, and when they do, they have difficulty evaluating the correctness of their responses and making effective study choices. To address these problems, we have developed a guided retrieval…

Recently, Attali and Powers investigated the usefulness of providing immediate feedback on the correctness of answers to constructed response questions and the opportunity to revise incorrect answers. This article introduces an item response theory (IRT) model for scoring revised responses to questions when several attempts are allowed. The model…

Dynamic assessment research, with its roots in Vygotsky's Zone of Proximal Development, is still in its infancy (Lantolf and Poehner, 2004; Poehner, 2008). It came to the attention of scholars to break away from a static, incomplete and unfair form of assessment to the dynamic form of assessment in order to more comprehensively uncover learners'…

"Proceedings of International Conference on Social and Education Sciences" includes full papers presented at the International Conference on Social and Education Sciences (IConSES), which took place on October 13-16, 2022, in Austin, Texas. The aim of the conference is to offer opportunities to share ideas, discuss theoretical and…

Too many multiple-choice tests are administered without an evaluative component. Teachers often return student assessments or Scantron cards--computerized bubble forms--without review, assuming that the printing of the correct answer will suffice. However, a more constructivist approach to follow up multiple-choice tests can make for more…

The use of polytomous items in assessments has increased over the years, and as a result, the validity of these assessments has been a concern. Differential item functioning (DIF) and missing data are two factors that may adversely affect assessment validity. Both factors have been studied separately, but DIF and missing data are likely to occur…

When the errors in an ordinary least squares (OLS) regression model are heteroscedastic, hypothesis tests involving the regression coefficients can have Type I error rates that are far from the nominal significance level. Asymptotically, this problem can be rectified with the use of a heteroscedasticity-consistent covariance matrix (HCCM)…

Shows how and why errors get introduced into examples in computer software documentation and what actions technical communicators can take to minimize this occurrence. Proposes a method to test examples. Suggests that technical writers can avoid these sources of error by creating and implementing a good test plan, maintaining and updating the…

A nine-step model is presented for diagnosing and correcting computation errors in arithmetic. The model, which lends itself to curriculum-based assessment and instruction, involves such steps as identifying error patterns, interviewing the student, and selecting the appropriate corrective strategy. (JDD)