The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…

Assessors' perspectives on their evaluative practices remain relatively under-researched. Given evidence that higher education assessment and feedback continue to be problematic, this paper proposes a specific methodological innovation with potential to contribute both to research and practice in this area. It explores the potential of a…

This article describes the implementation of alternative grading (AG) strategies in an upper-division kinesiology and functional human anatomy course. Traditional point-based grading systems can negatively impact student mental health, decrease intrinsic motivation, and hinder learning. To address these issues, a proficiency-based grading approach…

Public relations and strategic communication are offered in communication departments with a field of study largely geared toward professional communicators. The majors place a heavy emphasis on internships, which seem to be more competitive than ever. A class project can jumpstart students' preparation for entry-level positions in the industry by…

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…

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…

Failure is often taken as a given in higher education, as an inevitable part of learning new things. Yet, it remains a part of learning that students tend to fear, and faculty tend to neglect. As faculty, we do not always strategize with or leverage our students' struggles and failures for improved learning. Instead, we hope that students learn…

Background: Instructors often use a point-based system for grading students (e.g., 100 or 1000 total points). This system can impact student outcomes. Objective: The purpose of this research was to examine the implications of different point value courses for student emotions, perceptions of courses, and classroom performance. Method: The…

Most existing autograders used for grading programming assignments are based on unit testing, which is tedious to implement for programs with graphical output and does not allow testing for other code aspects, such as programming style or structure. We present a novel autograding approach based on machine learning that can successfully check the…

The purpose of this paper is to present an automated approach for the marking and grading of the commonly used accounting practice assignment for first year financial accounting. The automated system has potential benefits for the reduction in time and cost to the running of the course as well as providing students with an objective standardised…

Today's undergraduate students often must balance coursework with other personal and professional commitments. While much attention has been placed on effective strategies for helping students manage workload, curriculum optimization has been largely overlooked. In an analysis of a university lower-level online STEM course, a course redesign…

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…

This paper reports results from an Australian study into how teachers see features of quality in student work and connect these to next-step teaching. Data were drawn from a national 3 year project investigating teacher judgement using A-E standards. The project developed scaled exemplars of authentic student written performance assessments to…

Peer assessment has become a primary solution to the challenge of evaluating a large number of students in Massive Open Online Courses (MOOCs). In peer assessment, all students need to evaluate a subset of other students' assignments, and then these peer grades are aggregated to predict a final score for each student. Unfortunately, due to the…

Purpose: The present study explored experiences of former markers of undergraduate assignments and examinations at the University of South Africa (Unisa). Methodology: Qualitative method of research was used to gather data. Colaizzi's method (1978) was used to analyze and interpret data. The article's frame of reference was informed by Mezirow's…