Teachers in American schools have substantial autonomy in grading students in their courses. Music teachers have historically used a plethora of grading criteria that include non-academic and non-achievement data such as participation, attendance, and behavior. This study aims to show how music teachers in the state of Missouri are calculating…

In our previous work, we piloted a specifications grading system in an organic chemistry laboratory course with 37 students. Our current work describes the scale up of that specifications grading system to a course with over 1,000 students. Strategies used for keeping the system manageable and mitigating the time commitment required to do so are…

Courses in computer science curricula often involve group programming assignments. Instructors are required to take several decisions on assignment setup and monitoring, team formation policies, and grading systems. Group programming projects provide unique monitoring opportunities due to the availability of both product and process data, as well…

Assessment reliability can be affected by various types of unforeseen events. In any such circumstances where a concern is raised that the reliability of assessment is lower than usual, our natural inclination is to allow extra leniency in grading to reduce the chances of students missing out on a grade they deserve. This article shows how, by…

Purpose: In grading, one of the most common errors is made in combining two or more different test scores. This study aimed to investigate the agreement of grades calculated by weighting raw scores and standard scores. Research Methods: In this simulation study, data were simulated for midterm and final measurements. Nine conditions [3 (class…

Human essay grading is a laborious task that can consume much time and effort. Automated Essay Scoring (AES) has thus been proposed as a fast and effective solution to the problem of grading student writing at scale. However, because AES typically uses supervised machine learning, a human-graded essay corpus is still required to train the AES…

We explore how different components of an Automatic Short Answer Grading (ASAG) model affect the model's ability to generalize to questions outside of those used for training. For supervised automatic grading models, human ratings are primarily used as ground truth labels. Producing such ratings can be resource heavy, as subject matter experts…

The purpose of this study was to determine if academic intensive care units along with no-zero grading policies at the high school level result in students having higher achievement levels on state EOC assessments. A mixed-methods approach was taken in order to obtain both qualitative and quantitative data from surveys and interviews. Additional…

Background: Academic role (undergraduates, professors) and institutional context (liberal arts colleges, research universities) may affect how ethical psychology professors' behaviors seem. Objective: This study assessed whether academic role and institutional context related to ratings of professorial behaviors' ethicality. Method: A national…

Purpose: Lack of appropriate student support and drawbacks in academic progression signify the importance of enhancing assessment and feedback in higher education (HE). Although assessment and feedback are significant in HE, minimal empirical research holistically explores the best practices. This study aims to address the niche and develop a…

Online instruction has helped colleges and universities to adjust to budget constraints, limited resources, and student preferences. One way for instructors to adapt to these new expectations is to gain efficiency in larger classes by using team-based assignments and peer grading. Although online peer grading has been used for some time, concerns…

Holistic judgement is an appealing approach for many assessment contexts due to its perceived simplicity and efficiency. However, it has been somewhat under-explored conceptually. Drawing on examples from assessment contexts including vocational performance, comparative judgement and the use of holistic judgement in teacher assessment for high…

In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often…

High school graduation is a pivotal milestone that can shape students' future, offering them opportunities for higher education and gainful employment. Because research shows grade point averages and course failures to be predictive of high school graduation, it is important for students' life outcomes that their teachers assign them equitable…

The objective of this study is to expand teachers' knowledge base of assessment in teaching by exploring pre-service language teachers' construct of grading literacy during their pedagogical studies and immediately after. We conceptualize pre-service language teachers' grading literacy with a literature-based flow model of decision-making…