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Wen Xin Zhang; John J. H. Lin; Ying-Shao Hsu – Journal of Computer Assisted Learning, 2025
Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Inquiry, Active Learning
Ormerod, Christopher; Lottridge, Susan; Harris, Amy E.; Patel, Milan; van Wamelen, Paul; Kodeswaran, Balaji; Woolf, Sharon; Young, Mackenzie – International Journal of Artificial Intelligence in Education, 2023
We introduce a short answer scoring engine made up of an ensemble of deep neural networks and a Latent Semantic Analysis-based model to score short constructed responses for a large suite of questions from a national assessment program. We evaluate the performance of the engine and show that the engine achieves above-human-level performance on a…
Descriptors: Computer Assisted Testing, Scoring, Artificial Intelligence, Semantics
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
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
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
Olivera-Aguilar, Margarita; Lee, Hee-Sun; Pallant, Amy; Belur, Vinetha; Mulholland, Matthew; Liu, Ou Lydia – ETS Research Report Series, 2022
This study uses a computerized formative assessment system that provides automated scoring and feedback to help students write scientific arguments in a climate change curriculum. We compared the effect of contextualized versus generic automated feedback on students' explanations of scientific claims and attributions of uncertainty to those…
Descriptors: Computer Assisted Testing, Formative Evaluation, Automation, Scoring
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
Ismaeel, Dina Ahmed – International Journal of Web-Based Learning and Teaching Technologies, 2020
The aim of the present study was to identify the effect of web-based self and peer-assessment approaches on improving pre-service student teachers' academic self-efficacy. In this context, a study was carried out during the second semester of the 2018 academic year among 48 pre-service student teachers enrolled in the Teacher Preparation Program,…
Descriptors: Alternative Assessment, Computer Assisted Testing, Self Efficacy, Student Teachers
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
Nadolski, Rob J.; Hummel, Hans G. K.; Rusman, Ellen; Ackermans, Kevin – Educational Technology Research and Development, 2021
Acquiring complex oral presentation skills is cognitively demanding for students and demands intensive teacher guidance. The aim of this study was twofold: (a) to identify and apply design guidelines in developing an effective formative assessment method for oral presentation skills during classroom practice, and (b) to develop and compare two…
Descriptors: Formative Evaluation, Oral Language, Scoring Rubrics, Design
Passonneau, Rebecca J.; Poddar, Ananya; Gite, Gaurav; Krivokapic, Alisa; Yang, Qian; Perin, Dolores – International Journal of Artificial Intelligence in Education, 2018
Development of reliable rubrics for educational intervention studies that address reading and writing skills is labor-intensive, and could benefit from an automated approach. We compare a main ideas rubric used in a successful writing intervention study to a highly reliable wise-crowd content assessment method developed to evaluate…
Descriptors: Computer Assisted Testing, Writing Evaluation, Content Analysis, Scoring Rubrics