This study assessed the impact of COVID-19 on secondary teachers' assessment, grading, and reporting practices in south Florida. The study included a review of the literature on the history of traditional versus criterion-based grading and reporting; accountability and equity in grading prior to COVID-19; challenges in implementing alternative…

As teachers implement a diverse repertoire of assessment methods to gather information about students' progress, they may recognise shortfalls in their own assessment skills. These perceived growth areas may be productive targets for future professional learning. To quantify any discrepancies between teachers' self-reported assessment use needs…

ChatGPT, developed by OpenAI in 2022, is a powerful AI tool with potential benefits and challenges in education. It supports personalized learning, enhances writing skills, and streamlines tasks like grading. However, concerns about plagiarism, academic integrity, and reduced critical thinking remain. Educators can address these issues by teaching…

Responding to growing interests in alternative assessment practices, this article examines ungrading in two composition courses at a public university classified as a Hispanic-Serving Institution, detailing its implementation by two instructors in an Accelerated Learning Program composition class and a standalone composition class. Utilizing…

School policies regarding homework and grading are among the most controversial areas of education reform. This quantitative study investigates differences in various stakeholders' perspectives on these important issues. A survey with common items related to homework and grading policies was administered to all parents/families, teachers,…

Artificial intelligence (AI) in programming teaching is something that still has to be explored, since in this area assessment tools that allow grading the students work are the most common ones, but there are not many tools aimed toward providing feedback to the students in the process of creating their program. In this work a small sized…

A large body of evidence shows that many ungrading practices are as good or better than conventional approaches at supporting learning outcomes. Much of the research on student perceptions of ungrading, however, is based on individual case studies which, although informative, are often anecdotal, not systematically implemented, and tend to…

Today reading comprehension is considered an essential skill in modern life, therefore, higher education students require more specific skills to understand, interpret and evaluate texts effectively. Short answer questions (SAQs) are one of the relevant and proper tools for assessing reading comprehension skills. Unlike multiple-choice questions,…

Purpose: The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions…

The transition of the United States Medical License Exam Step 1 examination to pass/fail was implemented in January 2022 with the intent to reduce medical student stress levels while ensuring that students maintained a sufficient degree of medical knowledge in order to continue in their educational journey. While this is an admirable goal,…

We study the extent and consequences of biases against immigrants exhibited by high school teachers in Finland. Compared to native students, immigrant students receive 0.06 standard deviation units lower scores from teachers than from blind graders. This effect is almost entirely driven by grading penalties incurred by high-performing immigrant…

Grades matter to students, and grading methods have documented impacts on student outcomes. While many strategies exist to study variance and reliability in research settings, unique challenges exist when it comes to applying these techniques in practical settings of post-secondary coursework. In our course setting, teaching assistants (TA's)…

Background: The proliferation of computer-based learning platforms (CBLPs) has caused an increased focus on understanding how to build scalable systems that optimize learning. Thus, CBLPs often rely on close response questions (e.g., multiple choice questions, "select all that apply," "arrange in the correct order," etc.) for…

The present study examined how information about different grading systems affects students' course expectations, particularly in ways that may have downstream consequences for learning and other academic outcomes. In an online experiment using a preregistered design, we prompted two samples of current and recent college students (N = 547) with a…

This exploratory paper considers the practical and theoretical implications of a graded system of assessment in competency-based training within the Australian Vocational Education and Training System. The characteristics of competency-based training are considered and the possible relationships to graded approaches are discussed. The discussion…