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…

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…

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…

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…

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 article describes the results of a survey of community college instructors who were asked about the writing they assign in non-English courses. The 171 respondents, representing 140 colleges, identified the kinds of writing they assign and the challenges that come with assigning writing. These challenges included finding time to grade…

Researchers and practitioners have identified the ability to read scientific literature effectively as a core competency in undergraduate STEM education, but comparatively little research has been conducted on how students engage, both cognitively and affectively, with advanced scientific research. This mixed-methods study assesses the process…

Purpose: Teaching effectiveness is essential to student learning, engagement and success. This study aims to identify the perceived teaching effectiveness attributes from the student's perspective through a pilot study. Design/methodology/approach: A comprehensive literature review identified 6 demographic and 25 teaching effectiveness…

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…

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…

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…