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Benton, Tom; Gill, Tim; Hughes, Sarah; Leech, Tony – Research Matters, 2022
The rationale for the use of comparative judgement (CJ) to help set grade boundaries is to provide a way of using expert judgement to identify and uphold certain minimum standards of performance rather than relying purely on statistical approaches such as comparable outcomes. This article summarises the results of recent trials of using CJ for…
Descriptors: Comparative Analysis, Grades (Scholastic), Academic Achievement, Grading
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Lucy Chambers; Sylvia Vitello; Carmen Vidal Rodeiro – Assessment in Education: Principles, Policy & Practice, 2024
In England, some secondary-level qualifications comprise non-exam assessments which need to undergo moderation before grading. Currently, moderation is conducted at centre (school) level. This raises challenges for maintaining the standard across centres. Recent technological advances enable novel moderation methods that are no longer bound by…
Descriptors: Foreign Countries, Evaluation Methods, Comparative Analysis, Grading
Everson, Scott R. – ProQuest LLC, 2023
This paper presents a qualitative, multisite comparative case study from two midwestern high schools investigating high school stakeholder perceptions of grading practices experienced while transitioning from a system that primarily utilized historical grading practices to a more contemporary, reformed system implementing an iteration of…
Descriptors: Student Attitudes, Grading, Educational Change, High School Students
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Felix Chepchieng Aengwo; Ismail Thamarasseri – Issues and Ideas in Education, 2024
Background: Kenya has transitioned from the long-established 8-4-4 education system to the Competency-Based Curriculum (CBC), sparking widespread debate regarding the effectiveness of their respective grading systems. While the 8-4-4 system primarily emphasized academic achievement through summative national examinations, the CBC emphasizes…
Descriptors: Foreign Countries, Competency Based Education, Grading, Student Evaluation
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Elizabeth L. Wetzler; Kenneth S. Cassidy; Margaret J. Jones; Chelsea R. Frazier; Nickalous A. Korbut; Chelsea M. Sims; Shari S. Bowen; Michael Wood – Teaching of Psychology, 2025
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…
Descriptors: Essays, Writing Evaluation, Scores, Evaluators
Santi Lestari – Research Matters, 2024
Despite the increasing ubiquity of computer-based tests, many general qualifications examinations remain in a paper-based mode. Insufficient and unequal digital provision across schools is often identified as a major barrier to a full adoption of computer-based exams for general qualifications. One way to overcome this barrier is a gradual…
Descriptors: Keyboarding (Data Entry), Handwriting, Test Format, Comparative Analysis
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Peter Daly; Emmanuelle Deglaire – Innovations in Education and Teaching International, 2025
AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, College Faculty
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Pinot de Moira, Anne; Wheadon, Christopher; Christodoulou, Daisy – Research in Education, 2022
Writing is generally assessed internationally using rubric-based approaches, but there is a growing body of evidence to suggest that the reliability of such approaches is poor. In contrast, comparative judgement studies suggest that it is possible to assess open ended tasks such as writing with greater reliability. Many previous studies, however,…
Descriptors: Writing Evaluation, Classification, Accuracy, Scoring Rubrics
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Zhang, Haoran; Litman, Diane – Grantee Submission, 2021
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…
Descriptors: Essays, Grading, Writing Evaluation, Computational Linguistics
Crystal Watkins Williams – ProQuest LLC, 2024
Access to pass/fail grading was liberalized for courses designed to be delivered in-person but moved online due to social distancing caused by the COVID-19 pandemic at many universities in the spring 2020 semester. There was little research to inform liberalizing access to pass/fail grading as a tool to support student performance and persistence…
Descriptors: Pass Fail Grading, Graduate Students, Student Characteristics, Academic Achievement
Williamson, Joanna – Research Matters, 2022
Providing evidence that can inform awarding is an important application of Comparative Judgement (CJ) methods in high-stakes qualifications. The process of marking scripts is not changed, but CJ methods can assist in the maintenance of standards from one series to another by informing decisions about where to place grade boundaries or cut scores.…
Descriptors: Standards, Grading, Decision Making, Comparative Analysis
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Tomkin, Jonathan H.; West, Matthew – International Journal of STEM Education, 2022
Background: Grades in college and university STEM courses are an important determinant of student persistence in STEM fields. Recent studies have used the grade offset/grade penalty method to explore why students have lower grades in STEM courses than their GPAs would predict. The results of these studies are in doubt; however, as they use GPA as…
Descriptors: Grading, STEM Education, Grade Point Average, Prediction
Al-Jarf, Reima – Online Submission, 2022
This study investigates grade inflation in 127 language, linguistics, translation, education, and computer courses taught at some Saudi universities before, during and after the Pandemic. Grades obtained from some instructors for courses taught over 8 semesters were analyzed. It was found that between 20% 65% chose a pass/no-grade results, the…
Descriptors: Grade Inflation, Universities, Foreign Countries, COVID-19
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Lauren Sartain; William Zahran; Ethan Hutt; Daniel Klasik; Wesley Morris – Society for Research on Educational Effectiveness, 2023
The pandemic has been an unprecedented disruption to the lives of college students and the operation of higher education institutions. Students' performance during the pandemic was likely influenced by the hardship they personally experienced, how easily they adapted to remote teaching (including technology access), and their professors' ability…
Descriptors: Outcomes of Education, Pass Fail Grading, COVID-19, Pandemics
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Maya Usher – Assessment & Evaluation in Higher Education, 2025
The integration of Generative Artificial Intelligence (GenAI) in education has introduced innovative approaches to assessment. One such approach is AI chatbot-based assessment, which utilizes large language models to provide students with timely and consistent feedback. However, the effectiveness of AI chatbots in generating assessments comparable…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Student Evaluation, Peer Evaluation
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