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Amirhossein Rasooli; Michael Holden; Jorge Sinval – British Educational Research Journal, 2025
Teachers' conceptions of fairness influence their approaches to assessment. Perceptions of fairness underpin how teachers legitimate their values and provide reasons for teachers to defend assessment decisions and actions. This study therefore examined fairness conceptions at a critical stage in teachers' journey towards assessment capacity: their…
Descriptors: Preservice Teachers, Evaluative Thinking, Decision Making, Evaluation Methods
Anna Filighera; Sebastian Ochs; Tim Steuer; Thomas Tregel – International Journal of Artificial Intelligence in Education, 2024
Automatic grading models are valued for the time and effort saved during the instruction of large student bodies. Especially with the increasing digitization of education and interest in large-scale standardized testing, the popularity of automatic grading has risen to the point where commercial solutions are widely available and used. However,…
Descriptors: Cheating, Grading, Form Classes (Languages), Computer Software
Len Chan – Canadian Journal of Action Research, 2025
Anonymous marking, as a means to mitigate bias in grading, involves evaluating student work with their identities withheld. Anonymous marking is explored in this self-study to mitigate implicit bias, which negated a practitioner-researcher's educational values. The mixed methods action research findings show withholding student identities during…
Descriptors: Grading, Evaluation Methods, Student Evaluation, Bias
Kong, Eugene H. – Journal of Educators Online, 2023
Letter grading systems in education have been widely accepted as a strong medium to assess the educational performance of students across the world. It has been a successful system for many years because it can motivate students to achieve satisfactory grades in a course. However, recent studies indicate that grades can also foster anxiety and…
Descriptors: Evaluation Methods, Self Evaluation (Individuals), Distance Education, Grading
Gwyneth Cliver – Unterrichtspraxis/Teaching German, 2025
Since fall 2021, the author has practiced a method of ungrading, labor-based contract grading, in all courses in the small German program at the University of Nebraska at Omaha. The author has anecdotally observed less anxiety, fewer incidents of cheating, more cooperation among students, stronger rapport between students and instructors, growth…
Descriptors: Motivation, Anxiety, Stress Management, Grading
Esteban Guevara Hidalgo – International Journal for Educational Integrity, 2025
The COVID-19 pandemic had a profound impact on education, forcing many teachers and students who were not used to online education to adapt to an unanticipated reality by improvising new teaching and learning methods. Within the realm of virtual education, the evaluation methods underwent a transformation, with some assessments shifting towards…
Descriptors: Foreign Countries, Higher Education, COVID-19, Pandemics
Brian P. Shaw – Music Educators Journal, 2024
In the coming years, the proliferation of artificial intelligence (AI) will lead to changes and challenges to many traditional practices in school music and beyond, particularly related to student assessment and grading. At the same time, the AI revolution may also facilitate new and exciting directions for assessment and differentiation in music…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Music Education
Dirk H. R. Spennemann; Jessica Biles; Lachlan Brown; Matthew F. Ireland; Laura Longmore; Clare L. Singh; Anthony Wallis; Catherine Ward – Interactive Technology and Smart Education, 2024
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…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Cheating
Chad C. Tossell; Nathan L. Tenhundfeld; Ali Momen; Katrina Cooley; Ewart J. de Visser – IEEE Transactions on Learning Technologies, 2024
This article examined student experiences before and after an essay writing assignment that required the use of ChatGPT within an undergraduate engineering course. Utilizing a pre-post study design, we gathered data from 24 participants to evaluate ChatGPT's support for both completing and grading an essay assignment, exploring its educational…
Descriptors: Student Attitudes, Computer Software, Artificial Intelligence, Grading
Chen, Dandan – Online Submission, 2023
Technology-driven shifts have created opportunities to improve efficiency and quality of assessments. Meanwhile, they may have exacerbated underlying socioeconomic issues in relation to educational equity. The increased implementation of technology-based assessments during the COVID-19 pandemic compounds the concern about the digital divide, as…
Descriptors: Technology Uses in Education, Computer Assisted Testing, Alternative Assessment, Test Format
Would You Bribe Your Lecturer? A Quasi-Experimental Study on Burnout and Bribery in Higher Education
Weißmüller, Kristina S.; De Waele, Lode – Research in Higher Education, 2022
Bribery is a complex and critical issue in higher education (HE), causing severe economic and societal harm. Traditionally, most scholarship on HE corruption has focused on institutional factors in developing countries and insights into the psychological and motivational factors that drive HE bribery on the micro-level mechanisms are virtually…
Descriptors: Higher Education, Ethics, College Students, Antisocial Behavior
Dawson, Phillip; Sutherland-Smith, Wendy – Assessment & Evaluation in Higher Education, 2018
Contract cheating is the purchasing of custom-made university assignments with the intention of submitting them. Websites providing contract cheating services often claim this form of cheating is undetectable, and no published research has examined this claim. This paper documents a pilot study where markers were paid to mark a mixture of real…
Descriptors: Cheating, Assignments, Pilot Projects, Undergraduate Students
Nejdet Karadag – Journal of Educational Technology and Online Learning, 2023
The purpose of this study is to examine the impact of artificial intelligence (AI) on online assessment in the context of opportunities and threats based on the literature. To this end, 19 articles related to the AI tool ChatGPT and online assessment were analysed through rapid literature review. In the content analysis, the themes of "AI's…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Natural Language Processing, Grading
Krzic, Maja; Brown, Sandra – Natural Sciences Education, 2022
The transition of our large ([approximately]300 student) introductory soil science course to the online setting created several challenges, including engaging first- and second-year students, providing meaningful hands-on learning activities, and setting up online exams. The objective of this paper is to describe the development and use of…
Descriptors: Introductory Courses, Social Sciences, Online Courses, Educational Change
Yachison, Sarah; Okoshken, James; Talwar, Victoria – Journal of Educational Psychology, 2018
While academic dishonesty has been an area of study for numerous decades, research has focused primarily on the perpetrators of cheating and understanding why students cheat. In contrast, little attention has been devoted to examining the reactions of students who witness cheating. The current study investigated undergraduate students' reactions…
Descriptors: Undergraduate Students, Student Reaction, Peer Relationship, Cheating

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