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…

Reaction mechanisms are central to organic chemistry and organic chemistry education. Assessing understanding of reaction mechanisms can be evaluated holistically, wherein the entire mechanism is considered; however, we assert that such an evaluation does not account for how learners variably understand mechanistic components (e.g., nucleophile,…

Grading assignments is inherently subjective and time-consuming; automatic scoring tools can greatly reduce teacher workload and shorten the time needed for providing feedback to learners. The purpose of this paper is to propose a novel method for automatically scoring student responses to picture-cued writing tasks. As a popular paradigm for…

E-assessments are becoming increasingly common and progressively more complex. Consequently, how these longer, more complex questions are designed and marked is imperative. This article uses the NUMBAS e-assessment tool to investigate the best practice for creating longer questions and their mark schemes on surveying modules taken by engineering…

Labor-based grading: for many instructors in the world of distance learning this is a new concept, yet it is one that is rapidly growing in acceptance and popularity. First introduced in 1993 by English professor Peter Elbow, the premise of labor-based grading is that instructors weigh assignments based on how much labor--how much…

The research is based on the phenomenological study for the district leaders' decision-making on literacy curriculum programs for English Language Learners. The participants of the study are superintendents or district leaders that have a large ENL population they serve. The sampling technique followed was purposeful sampling of Long Island…

The COVID-19 pandemic resulted in dramatic growth in the use of open education resources, such as open textbooks, as classes moved online around the world. This highlighted the importance of evaluating the creation and adaptation of open textbooks used in online courses. In reviewing the research literature, I found existing rubrics or frameworks…

This study used a pretest-posttest design to explore the scoring by female preservice teachers (n=25) of student responses to a pattern problem. The treatment consisted of a cooperative activity that required the preservice teachers to assign scores to a rubric intended to enhance careful attention to student reasoning expressed in written…

The Hearts and Flowers (H&F) task is a computerized executive functioning (EF) assessment that has been used to measure EF from early childhood to adulthood. It provides data on accuracy and reaction time (RT) across three different task blocks (hearts, flowers, and mixed). However, there is a lack of consensus in the field on how to score the…