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Justin L. Rheubert; Marisa Prisco; Paige A. Grum; Abby L. Kalkstein – Journal of the National Collegiate Honors Council, 2024
The stress created by academic pressure may prevent honors students from exploring curricula beyond that required by their majors. Challenged with additional workload and extracurricular requirements, students in honors often confront added stress caused by a desire to perform favorably in all academic pursuits. This pressure may result in…
Descriptors: Honors Curriculum, Grading, Educational Change, College Students
Zhu, Xinhua; Wu, Han; Zhang, Lanfang – IEEE Transactions on Learning Technologies, 2022
Automatic short-answer grading (ASAG) is a key component of intelligent tutoring systems. Deep learning is an advanced method to deal with recognizing textual entailment tasks in an end-to-end manner. However, deep learning methods for ASAG still remain challenging mainly because of the following two major reasons: (1) high-precision scoring…
Descriptors: Intelligent Tutoring Systems, Grading, Automation, Models
Stewart Liu; Theresa M. Roeder; Susan C. Cholette – INFORMS Transactions on Education, 2025
Statewide initiatives and the COVID-19 pandemic have caused us to re-examine how we deliver and evaluate students in our courses. In this paper, we discuss our experiences using grading contracts, which are commonly used in writing programs but virtually unknown in fields like operations research. We found strong undergraduate student support for…
Descriptors: Grading, Performance Contracts, Undergraduate Students, Student Evaluation
Christopher DeLuca; Michael Holden; Nathan Rickey – British Educational Research Journal, 2025
We are at a critical moment for assessment in schools. Teachers are called to navigate advances in classroom assessment research, top-down assessment policies, and lingering effects of the COVID-19 pandemic on teaching and learning. Embedded in this context are also systemic challenges to teachers' assessment practice. This paper analyses these…
Descriptors: Evaluation Methods, Educational Innovation, Foreign Countries, Psychological Patterns
Alberto Gandolfi – International Journal of Artificial Intelligence in Education, 2025
In this paper, we initially investigate the capabilities of GPT-3 5 and GPT-4 in solving college-level calculus problems, an essential segment of mathematics that remains under-explored so far. Although improving upon earlier versions, GPT-4 attains approximately 65% accuracy for standard problems and decreases to 20% for competition-like…
Descriptors: Artificial Intelligence, Reliability, Problem Solving, Mathematics Skills
David Baidoo-Anu; Amirhossein Rasooli; Christopher DeLuca; Liying Cheng – Education Inquiry, 2025
Classroom assessment and grading play central roles in education, with important impacts on teachers and students. This study examined the interactions between Canadian teachers' and students' conceptions of assessment and approaches to grading. 219 teachers and students completed a survey with two scales: Teachers' Conceptions of Assessment…
Descriptors: Teacher Attitudes, Student Attitudes, Grading, Student Evaluation
Heather Marie Lander – ProQuest LLC, 2024
The problem addressed in this study was the lack of quantitative evidence regarding the effectiveness of standards-based grading. The purpose of this study was to compare college students' GPAs and their perception of college preparedness to determine if there was a significant difference between students graduating from traditional grading high…
Descriptors: Instructional Effectiveness, Academic Standards, Grading, College Students
Eirik Bjorheim Abrahamsen; Vegard Moen; Jon Tømmerås Selvik – Discover Education, 2024
All students at Norwegian universities and colleges have the right to complain about ordinary grading decisions. When an appeal is made, two new examiners are appointed, at least one of whom should be external. The handling of appeals in the current system is to be blind, meaning that the examiners handling the complaint should not be aware of the…
Descriptors: Grading, Decision Making, College Students, Evaluators
Priti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus – Grantee Submission, 2024
Assessing students' answers and in particular natural language answers is a crucial challenge in the field of education. Advances in transformer-based models such as Large Language Models (LLMs), have led to significant progress in various natural language tasks. Nevertheless, amidst the growing trend of evaluating LLMs across diverse tasks,…
Descriptors: Student Evaluation, Computer Assisted Testing, Artificial Intelligence, Comprehension
Curry, Dana Michelle – ProQuest LLC, 2023
The purpose of this study was to better understand factors that influenced academic fraudulent excuse making. Previous research shows that deception in many forms is very common (e.g., Austin et al., 2006; Griffin et al., 2015; Kapoor & Kaufman, 2021; Murdock & Anderman, 2006). Fraudulent excuse making has been predominantly studied…
Descriptors: Deception, Student Behavior, Influences, Educational Policy
Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
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,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
Brie Tripp; Akshaya Ravi; Ethan Pang; Robert E. Furrow – CBE - Life Sciences Education, 2025
Grades are a staple of education and a gateway to future career opportunities. Yet, grading practices can (re)produce inequities and cause students to feel inadequate and unmotivated. Alternative grading practices may address these problems, but these strategies are often time intensive and impractical in larger classroom settings. In this study,…
Descriptors: Undergraduate Students, Student Attitudes, STEM Education, Student Evaluation
Maxime François; Kristof De Witte – British Educational Research Journal, 2025
The observed decline in academic performance among 15-year-old students, as reported by recent OECD-PISA surveys, alongside the democratisation of university admissions, points to a potential decrease in the marginal academic proficiency of incoming higher education students. Paradoxically, grades at the tertiary level have either remained stable…
Descriptors: Grade Inflation, Adolescents, COVID-19, Pandemics
Naheen Madarbakus-Ring; Michael Crawford; Nathan Thomas Ducker – Language Learning in Higher Education, 2025
Information units (IUs) have been proposed as a way of grading students' notes. However, little work has been done to validate and check the reliability of such an approach. This study explores how teacher-researchers (TRs) use information units (IUs) to rate content items in students' listening notes using a rubric. Data were collected from six…
Descriptors: Teacher Researchers, Information Utilization, Scoring Rubrics, Listening
Cortney Smith – Communication Teacher, 2024
This study explores student perceptions of, and experiences with, labor-based contracting grading--an approach to student assessment that values labor rather than quality. In theory, labor-based contract grading reduces teacher bias and challenges inequities maintained by traditional grading. A qualitative content analysis of anonymous online…
Descriptors: Student Attitudes, Performance Contracts, Grading, Best Practices

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