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Jonas Flodén – British Educational Research Journal, 2025
This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…
Descriptors: College Faculty, Artificial Intelligence, Comparative Testing, Scoring
Rebecka Weegar; Peter Idestam-Almquist – International Journal of Artificial Intelligence in Education, 2024
Machine learning methods can be used to reduce the manual workload in exam grading, making it possible for teachers to spend more time on other tasks. However, when it comes to grading exams, fully eliminating manual work is not yet possible even with very accurate automated grading, as any grading mistakes could have significant consequences for…
Descriptors: Grading, Computer Assisted Testing, Introductory Courses, Computer Science Education
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
Mohd Elmagzoub Eltahir; Nagaletchimee Annamalai; Arulselvi Uthayakumaran; Samer H. Zyoud; Antonia Ramírez García; Viktorija Mažeikiene; Bilal Zakarneh; Najeh Rajeh Al Salhi – SAGE Open, 2023
Online assessment is a new introduction in many developing countries during the COVID-19 pandemic, including Malaysia, Lithuania, and Spain. The current study conducted a phenomenology study to probe insights about fairness in online assessment. The interview data were interpreted from the perspective of social psychology theory that emphasizes…
Descriptors: Foreign Countries, COVID-19, Pandemics, Scoring Rubrics
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
Binglin Chen – ProQuest LLC, 2022
Assessment is a key component of education. Routine grading of students' work, however, is time consuming. Automating the grading process allows instructors to spend more of their time helping their students learn and engaging their students with more open-ended, creative activities. One way to automate grading is through computer-based…
Descriptors: College Students, STEM Education, Student Evaluation, Grading
Bani Arora; Abdulghani Al-Hattami – Canadian Journal of Learning and Technology, 2024
This descriptive study examines the effectiveness of ZipGrade, a digital assessment tool, in the context of formative evaluations within classroom settings, focusing on its deployment for multiple-choice question quizzes. This research contributes to the dialogue on the integration of information and communication technology to promote quality…
Descriptors: Program Effectiveness, Formative Evaluation, Computer Assisted Testing, Technology Uses in Education
Gerd Kortemeyer; Julian Nöhl; Daria Onishchuk – Physical Review Physics Education Research, 2024
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Using a high-stakes thermodynamics exam as the sample (252 students, four multipart problems), we investigate the viability of four workflows for AI-assisted grading of handwritten student solutions. We find that the…
Descriptors: Grading, Physics, Science Instruction, Artificial Intelligence
Rowlett, Peter – International Journal of Mathematical Education in Science and Technology, 2022
A partially-automated method of assessment is proposed, in which automated question setting is used to generate individualized versions of a coursework assignment, which is completed by students and marked by hand. This is designed to be (a) comparable to a traditional written coursework assignment in validity, in that complex and open-ended tasks…
Descriptors: Mathematics Education, College Mathematics, Computer Assisted Testing, Evaluation Methods
Jeff Ford; Rachel Erickson; Ha Le; Kaylee Vick; Jillian Downey – PRIMUS, 2024
In this study, we analyzed student participation and success in a college-level Calculus I course that utilized standards-based grading. By measuring the level to which students participate in this class structure, we were able to use a clustering algorithm that revealed multiple groupings of students that were distinct based on activity…
Descriptors: Calculus, Mathematics Instruction, Mathematics Achievement, Grades (Scholastic)
Parker, Mark A. J.; Hedgeland, Holly; Braithwaite, Nicholas; Jordan, Sally – European Journal of Science and Mathematics Education, 2022
The study investigated student reaction to the alternative mechanics survey (AMS), a modified force concept inventory, which used automatically marked free-response questions and offered limited feedback to students after their answers had been submitted. Eight participants were observed in completing the AMS, and they were interviewed to gain…
Descriptors: Student Attitudes, Feedback (Response), Learning Processes, Physics
Parisa Aqdas Karimi; Seyyed Kazem Banihashem; Harm J. A. Biemans – International Journal of Technology in Education and Science, 2023
The current paper focusses on the teachers' attitude towards and experiences with e-learning tools at two universities in different phases of e-learning implementation. The study population comprises teachers at university level and a simple random sampling method was used. A total of 45 teachers in bachelor programmes from the Faculty of…
Descriptors: College Faculty, Teacher Attitudes, Electronic Learning, Technology Uses in Education
Xiong-Skiba, P.; Buckner, S.; Little, C.; Kovalskiy, A. – Physics Teacher, 2020
This paper reports our work on replacing lab report grading by post-online lab quizzes using Desire2Learn (D2L, an online course management software), specifically, how we circumvent some of the limitations imposed by D2L and the outcomes.
Descriptors: Grading, Physics, Science Tests, Computer Assisted Testing
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
Çinar, Ayse; Ince, Elif; Gezer, Murat; Yilmaz, Özgür – Education and Information Technologies, 2020
Worldwide, open-ended questions that require short answers have been used in many exams in fields of science, such as the International Student Assessment Program (PISA), the International Science and Maths Trends Research (TIMSS). However, multiple-choice questions are used for many exams at the national level in Turkey, especially high school…
Descriptors: Foreign Countries, Computer Assisted Testing, Artificial Intelligence, Grading