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Dhini, Bachriah Fatwa; Girsang, Abba Suganda; Sufandi, Unggul Utan; Kurniawati, Heny – Asian Association of Open Universities Journal, 2023
Purpose: The authors constructed an automatic essay scoring (AES) model in a discussion forum where the result was compared with scores given by human evaluators. This research proposes essay scoring, which is conducted through two parameters, semantic and keyword similarities, using a SentenceTransformers pre-trained model that can construct the…
Descriptors: Computer Assisted Testing, Scoring, Writing Evaluation, Essays
Swapna Haresh Teckwani; Amanda Huee-Ping Wong; Nathasha Vihangi Luke; Ivan Cherh Chiet Low – Advances in Physiology Education, 2024
The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…
Descriptors: Accuracy, Reliability, Computational Linguistics, Standards
Pearson, Christopher; Penna, Nigel – Assessment & Evaluation in Higher Education, 2023
E-assessments are becoming increasingly common and progressively more complex. Consequently, how these longer, more complex questions are designed and marked is imperative. This article uses the NUMBAS e-assessment tool to investigate the best practice for creating longer questions and their mark schemes on surveying modules taken by engineering…
Descriptors: Automation, Scoring, Engineering Education, Foreign Countries
Tri Sedya Febrianti; Siti Fatimah; Yuni Fitriyah; Hanifah Nurhayati – International Journal of Education in Mathematics, Science and Technology, 2024
Assessing students' understanding of circle-related material through subjective tests is effective, though grading these tests can be challenging and often requires technological support. ChatGPT has shown promise in providing reliable and objective evaluations. Many teachers in Indonesia, however, continue to face difficulties integrating…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Scoring, Tests
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
Andrea Fernández-Sánchez; Juan José Lorenzo-Castiñeiras; Ana Sánchez-Bello – European Journal of Education, 2025
The advent of artificial intelligence (AI) technologies heralds a transformative era in education. This study investigates the integration of AI tools in developing educational assessment rubrics within the 'Curriculum Design Development and Evaluation' course at the University of A Coruña during the 2023-2024 academic year. Employing an…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, Technology Integration
Kunal Sareen – Innovations in Education and Teaching International, 2024
This study examines the proficiency of Chat GPT, an AI language model, in answering questions on the Situational Judgement Test (SJT), a widely used assessment tool for evaluating the fundamental competencies of medical graduates in the UK. A total of 252 SJT questions from the "Oxford Assess and Progress: Situational Judgement" Test…
Descriptors: Ethics, Decision Making, Artificial Intelligence, Computer Software
On-Soon Lee – Journal of Pan-Pacific Association of Applied Linguistics, 2024
Despite the increasing interest in using AI tools as assistant agents in instructional settings, the effectiveness of ChatGPT, the generative pretrained AI, for evaluating the accuracy of second language (L2) writing has been largely unexplored in formative assessment. Therefore, the current study aims to examine how ChatGPT, as an evaluator,…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
Celeste Combrinck; Nelé Loubser – Discover Education, 2025
Written assignments for large classes pose a far more significant challenge in the age of the GenAI revolution. Suggestions such as oral exams and formative assessments are not always feasible with many students in a class. Therefore, we conducted a study in South Africa and involved 280 Honors students to explore the usefulness of Turnitin's AI…
Descriptors: Foreign Countries, Artificial Intelligence, Large Group Instruction, Alternative Assessment
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
Clodagh Carroll – European Journal of Science and Mathematics Education, 2024
With the initial COVID-19 lockdown of March 2020 in Ireland, many modules in university programmes that were designed to be delivered face-to-face were suddenly switched to remote delivery. The difficulty for both lecturers and students in replicating face-to-face interaction and the frequent lack of lecturers' visibility of students' work in such…
Descriptors: Foreign Countries, College Freshmen, Mathematics Education, Mathematics Instruction
Cohen, Yoav; Levi, Effi; Ben-Simon, Anat – Applied Measurement in Education, 2018
In the current study, two pools of 250 essays, all written as a response to the same prompt, were rated by two groups of raters (14 or 15 raters per group), thereby providing an approximation to the essay's true score. An automated essay scoring (AES) system was trained on the datasets and then scored the essays using a cross-validation scheme. By…
Descriptors: Test Validity, Automation, Scoring, Computer Assisted Testing
Richardson, Mary; Clesham, Rose – London Review of Education, 2021
Our world has been transformed by technologies incorporating artificial intelligence (AI) within mass communication, employment, entertainment and many other aspects of our daily lives. However, within the domain of education, it seems that our ways of working and, particularly, assessing have hardly changed at all. We continue to prize…
Descriptors: Artificial Intelligence, High Stakes Tests, Computer Assisted Testing, Educational Change
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
Ally, Said; Oreku, George – International Journal of Education and Development using Information and Communication Technology, 2022
The outbreak of the COVID-19 pandemic largely disrupted the continuity of educational delivery. Online learning was the prompt response by educators. However, this comes with a big question on the conduct of assessment. Running examinations traditionally is vulnerable to high security risks and administration costs. A precise mechanism to…
Descriptors: COVID-19, Pandemics, Electronic Learning, Information Systems