A personalized system of instruction is one of the strategies to personalize instruction. It is a technique that allows the student to move from one unit to another according to his own pace and his potential. Although this system is distinguished with activity and effectiveness to master the instructional subject, it lacks evaluation of the essay…

'Transparency' is frequently invoked when describing assessment criteria in higher education. However, there are limitations to the metaphor: 'transparent' representations give the illusion that everything can (and should) be explicated, and that students are 'seeing through' to the educators' expectations. Drawing from sociomaterial perspectives…

In response to the call for promoting three-dimensional science learning (NRC, 2012), researchers argue for developing assessment items that go beyond rote memorization tasks to ones that require deeper understanding and the use of reasoning that can improve science literacy. Such assessment items are usually performance-based constructed…

Automated essay scoring (AES), where natural language processing is applied to score written text, can underpin educational resources in blended and distance learning. AES performance has typically been reported in terms of correlation coefficients or agreement statistics calculated between a system and an expert human examiner. We describe the…

This brief describes that publicly-available ACT Superscore Database (or Tableau dashboard). The Database reports nationally and for each state the distribution of students across the full ACT Composite score scale based on three scoring methods: most recent score, highest score from a single test attempt, and ACT Superscore based on the highest…

Scoring mathematics exam papers accurately is vital for fostering students' engagement and interest in the subject. Incorrect scoring practices can erode motivation and lead to the development of false self-confidence. Therefore, the implementation of appropriate scoring methods is essential for the success of mathematics education. This study…

Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…

This article describes the development and administration of the "Kindergarten-Second Grade (K-2) Writing Data-Based Decision Making (DBDM) Survey." The "K-2 Writing DBDM Survey" was developed to learn more about current DBDM practices specific to early writing. A total of 376 educational professionals (175 general education…

In fewer than two years, generative artificial intelligence (GenAI) has transformed the educational experience for both students and faculty. Writing feedback and evaluation tools like MyEssayFeedback, EssayGrader, and Markr have been released with the promise that faculty will be able to focus more on teaching than simply grading. However, the…

Translation evaluation, assessment and criticism are widely studied concepts referring to quality control and enhancement in both professional translation and translation training. However, there is still a need for translator trainers to develop a specific competence in translation assessment in the academic context, since they must provide…

There is considerable research regarding measures of early reading but much less in early writing. Nevertheless, writing is a critical skill for success in school and early difficulties in writing are likely to persist without intervention. A necessary step toward identifying those students who need additional support is the use of screening…

Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…

The rapid growth of online education has brought to the forefront the critical need for designing highquality online courses that effectively engage learners and facilitate their success in the digital realm. This study explored the key components and practical guidelines for designing high-quality online courses. Qualitative research was…

Automated writing evaluation (AWE) systems are developed based on interdisciplinary research and technological advances such as natural language processing, computer sciences, and latent semantic analysis. Despite a steady increase in research publications in this area, the results of AWE investigations are often mixed, and their validity may be…

Unfolding models are frequently used to develop scales for measuring attitudes. Recently, unfolding models have been applied to examine rater severity and accuracy within the context of rater-mediated assessments. One of the problems in applying unfolding models to rater-mediated assessments is that the substantive interpretations of the latent…