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Selcuk Acar; Peter Organisciak; Denis Dumas – Journal of Creative Behavior, 2025
In this three-study investigation, we applied various approaches to score drawings created in response to both Form A and Form B of the Torrance Tests of Creative Thinking-Figural (broadly TTCT-F) as well as the Multi-Trial Creative Ideation task (MTCI). We focused on TTCT-F in Study 1, and utilizing a random forest classifier, we achieved 79% and…
Descriptors: Scoring, Computer Assisted Testing, Models, Correlation
Peter Baldwin; Victoria Yaneva; Kai North; Le An Ha; Yiyun Zhou; Alex J. Mechaber; Brian E. Clauser – Journal of Educational Measurement, 2025
Recent developments in the use of large-language models have led to substantial improvements in the accuracy of content-based automated scoring of free-text responses. The reported accuracy levels suggest that automated systems could have widespread applicability in assessment. However, before they are used in operational testing, other aspects of…
Descriptors: Artificial Intelligence, Scoring, Computational Linguistics, Accuracy
Pauline Frizelle; Ana Buckley; Tricia Biancone; Anna Ceroni; Darren Dahly; Paul Fletcher; Dorothy V. M. Bishop; Cristina McKean – Journal of Child Language, 2024
This study reports on the feasibility of using the Test of Complex Syntax- Electronic (TECS-E), as a self-directed app, to measure sentence comprehension in children aged 4 to 5 ½ years old; how testing apps might be adapted for effective independent use; and agreement levels between face-to-face supported computerized and independent computerized…
Descriptors: Language Processing, Computer Software, Language Tests, Syntax
Lena Frenken; Paul Libbrecht; Benjamin Becker; Gilbert Greefrath – International Journal of Mathematical Education in Science and Technology, 2024
The German national educational standards state explicitly that students should be enabled to successfully interact with dynamic geometry software. In a feasibility study on providing a standardized assessment instrument by digital means, in order to assess students' mathematical competencies, the implementation of a task with such a dynamic…
Descriptors: Geometry, Standardized Tests, Foreign Countries, Computer Software
Victor Oxman; Moshe Stupel – International Journal for Technology in Mathematics Education, 2023
PWW style are presented. The difference of evidence is based on various additional auxiliary constructions, which in itself is a "mathematical art" that the student can master as a result of much practice. The PWW are accompanied by GeoGebra applets containing HINT buttons that allow the student to get step-by-step help in completing the…
Descriptors: Computer Software, Mathematics Instruction, Mathematical Logic, Validity
Maite Alguacil; Noemí Herranz-Zarzoso; José C. Pernías; Gerardo Sabater-Grande – Journal of Computing in Higher Education, 2024
Cheating in online exams without face-to-face proctoring has been a general concern for academic instructors during the crisis caused by COVID-19. The main goal of this work is to evaluate the cost of these dishonest practices by comparing the academic performance of webcam-proctored students and their unproctored peers in an online gradable test.…
Descriptors: Cheating, Computer Assisted Testing, Randomized Controlled Trials, Supervision
Nico Willert; Jonathan Thiemann – Technology, Knowledge and Learning, 2024
Manual composition of tasks and exams is a challenging and time-consuming task. Especially when exams are taken remotely without the personal monitoring by examiners, most exams can easily lose their integrity with the use of previously done exercises or student communication. This research introduces an approach that incorporates the principles…
Descriptors: Tests, Examiners, Foreign Countries, Multiple Choice Tests
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
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
Rodríguez-Villalobos, Martha; Fernandez-Garza, Jessica; Heredia-Escorza, Yolanda – International Journal of Information and Learning Technology, 2023
Purpose: The objective of this study was to compare three distinct methods of test monitoring in the context of distance education--non-proctored remote or online tests, traditional face-to-face proctored tests and remotely proctored tests using software--to analyze if the method in which tests are monitored influences the obtained grades.…
Descriptors: Computer Assisted Testing, Academic Achievement, Distance Education, Computer Software
Ince Araci, F. Gul; Tan, Seref – International Journal of Assessment Tools in Education, 2022
Computerized Adaptive Testing (CAT) is a beneficial test technique that decreases the number of items that need to be administered by taking items in accordance with individuals' own ability levels. After the CAT applications were constructed based on the unidimensional Item Response Theory (IRT), Multidimensional CAT (MCAT) applications have…
Descriptors: Adaptive Testing, Computer Assisted Testing, Simulation, Item Response Theory
Ally, Said – International Journal of Education and Development using Information and Communication Technology, 2022
Moodle software has become the heart of teaching and learning services in education. The software is viewed as a trusted modern platform for transforming learning and teaching modes from conventional face-to-face to fully online classes. However, its use for online examination is very limited despite having a state-of-the-art Quiz Module with…
Descriptors: Integrated Learning Systems, Computer Assisted Testing, Information Security, Evaluation Methods
E. A. J. Terblanche; Annelien Adriana van Rooyen; P. C. Enwereji – Discover Education, 2024
The COVID-19 pandemic accelerated the implementation of online assessments at an unprecedented pace. The pandemic required most higher education institutions worldwide to implement online assessments almost overnight. The study aimed to gain an understanding of auditing students' perceptions of online assessments and e-proctoring systems during…
Descriptors: Computer Assisted Testing, Supervision, Student Attitudes, Electronic Learning
Holly Robson; Harriet Thomasson; Matthew H. Davis – International Journal of Language & Communication Disorders, 2024
Background: The use of telepractice in aphasia research and therapy is increasing in frequency. Teleassessment in aphasia has been demonstrated to be reliable. However, neuropsychological and clinical language comprehension assessments are not always readily translatable to an online environment and people with severe language comprehension or…
Descriptors: Aphasia, Severity (of Disability), Videoconferencing, Comparative Analysis
Christophe O. Soulage; Fabien Van Coppenolle; Fitsum Guebre-Egziabher – Advances in Physiology Education, 2024
Artificial intelligence (AI) has gained massive interest with the public release of the conversational AI "ChatGPT," but it also has become a matter of concern for academia as it can easily be misused. We performed a quantitative evaluation of the performance of ChatGPT on a medical physiology university examination. Forty-one answers…
Descriptors: Medical Students, Medical Education, Artificial Intelligence, Computer Software