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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
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Eran Hadas; Arnon Hershkovitz – Journal of Learning Analytics, 2025
Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…
Descriptors: Creativity, Evaluation Methods, Computer Assisted Testing, Artificial Intelligence
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Marli Crabtree; Kenneth L. Thompson; Ellen M. Robertson – HAPS Educator, 2024
Research has suggested that changing one's answer on multiple-choice examinations is more likely to lead to positive academic outcomes. This study aimed to further understand the relationship between changing answer selections and item attributes, student performance, and time within a population of 158 first-year medical students enrolled in a…
Descriptors: Anatomy, Science Tests, Medical Students, Medical Education
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Yurtcu, Meltem; Güzeller, Cem Oktay – Participatory Educational Research, 2021
The items that are suitable for everyone's own ability level with the support of computer programs instead of paper and pencil tests may help students to reach more accurate results. Computer adaptive tests (CAT), which are developed based on certain assumptions in this direction, are to create an optimum test for every person taking the exam. It…
Descriptors: Bibliometrics, Computer Assisted Testing, Computer Software, Test Construction
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Selcuk Acar; Denis Dumas; Peter Organisciak; Kelly Berthiaume – Grantee Submission, 2024
Creativity is highly valued in both education and the workforce, but assessing and developing creativity can be difficult without psychometrically robust and affordable tools. The open-ended nature of creativity assessments has made them difficult to score, expensive, often imprecise, and therefore impractical for school- or district-wide use. To…
Descriptors: Thinking Skills, Elementary School Students, Artificial Intelligence, Measurement Techniques
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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
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Chen, Jinglu; Tan, Ling; Liu, Lu; Wang, Ling – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
It has been demonstrated that the Simon effect may be increased or reversed due to proportion congruency manipulation, suggesting that learned spatial irrelevant stimulus-response (S-R) associations are used to guide responses. In this study, we tested the hypothesis that learning spatial irrelevant S-R associations by rewards may show a similar…
Descriptors: Reinforcement, Reaction Time, Prediction, Color
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Thekes, Istvan – International Journal of Technology in Education, 2021
Examining the relationship between technology and the success of language acquisition and the integration of technology into language instruction has been around of a long time by now. The development of technology can essentially change how languages are taught. Nevertheless, it is only in the last few years that the road has opened up for new…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Computer Software
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Amasha, Mohamed A.; Abougalala, Rania A.; Reeves, Ahmad J.; Alkhalaf, Salem – Education and Information Technologies, 2018
The main purpose of this study is to investigate the effects of integration of online learning and assessment in synchronization form (OLASF) on students' learning performance. The study seeks to evaluate how the synchronization content with immediate assessment can affect the knowledge performance of the students. An experimental design with…
Descriptors: Online Courses, Computer Assisted Testing, Course Content, Academic Achievement
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Brick, Billy; Cervi-Wilson, Tiziana – Research-publishing.net, 2019
Coventry University Institution Wide Language Programme (IWLP) offers beginners language learning modules to approximately 3,000 students. Each module is taught over 11 weeks for a total of one hour and 40 minutes and two of the weeks are used for in class tests, so tutors generally agree that students need to practise their skills outside the…
Descriptors: Computer Software, Second Language Learning, Second Language Instruction, French
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Burstein, Jill; McCaffrey, Dan; Beigman Klebanov, Beata; Ling, Guangming – Grantee Submission, 2017
No significant body of research examines writing achievement and the specific skills and knowledge in the writing domain for postsecondary (college) students in the U.S., even though many at-risk students lack the prerequisite writing skills required to persist in their education. This paper addresses this gap through a novel…
Descriptors: Computer Software, Writing Evaluation, Writing Achievement, College Students
Gibson, David C.; Webb, Mary; Ifenthaler, Dirk – International Association for Development of the Information Society, 2015
This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…
Descriptors: Measurement, Data Analysis, Psychometrics, Correlation
Adjei, Seth A.; Botelho, Anthony F.; Heffernan, Neil T. – Grantee Submission, 2016
Prerequisite skill structures have been closely studied in past years leading to many data-intensive methods aimed at refining such structures. While many of these proposed methods have yielded success, defining and refining hierarchies of skill relationships are often difficult tasks. The relationship between skills in a graph could either be…
Descriptors: Prediction, Learning Analytics, Attribution Theory, Prerequisites
Geigle, Chase – ProQuest LLC, 2018
There are two primary challenges for instructors in offering a high-quality course at large scale. The first is scaling educational experiences to such a large audience. The second major challenge encountered is that of enabling adaptivity of the educational experience. This thesis addresses both major challenges in the way of high-quality…
Descriptors: Barriers, Educational Quality, Computer Assisted Testing, Educational Experience
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Breyer, F. Jay; Attali, Yigal; Williamson, David M.; Ridolfi-McCulla, Laura; Ramineni, Chaitanya; Duchnowski, Matthew; Harris, April – ETS Research Report Series, 2014
In this research, we investigated the feasibility of implementing the "e-rater"® scoring engine as a check score in place of all-human scoring for the "Graduate Record Examinations"® ("GRE"®) revised General Test (rGRE) Analytical Writing measure. This report provides the scientific basis for the use of e-rater as a…
Descriptors: Computer Software, Computer Assisted Testing, Scoring, College Entrance Examinations
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