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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
Born, Sebastian; Frey, Andreas – Educational and Psychological Measurement, 2017
Although multidimensional adaptive testing (MAT) has been proven to be highly advantageous with regard to measurement efficiency when several highly correlated dimensions are measured, there are few operational assessments that use MAT. This may be due to issues of constraint management, which is more complex in MAT than it is in unidimensional…
Descriptors: Adaptive Testing, Heuristics, Correlation, Computer Assisted Testing
Devisakti, A.; Muftahu, Muhammad – International Journal of Information and Learning Technology, 2022
Purpose: The advancement of technology in the last decades transformed the education from mortar and brick into online teaching and learning. It also changed the assessments from paper-based to technology-supported assessments. This study aims to examine how technology support student's online assessments in higher education institutions from…
Descriptors: Educational Technology, Technology Uses in Education, Undergraduate Students, Expectation
Beaty, Roger E.; Johnson, Dan R.; Zeitlen, Daniel C.; Forthmann, Boris – Creativity Research Journal, 2022
Semantic distance is increasingly used for automated scoring of originality on divergent thinking tasks, such as the Alternate Uses Task (AUT). Despite some psychometric support for semantic distance -- including positive correlations with human creativity ratings -- additional work is needed to optimize its reliability and validity, including…
Descriptors: Semantics, Scoring, Creative Thinking, Creativity
Sulaiman, Tajularipin; Ibrahim, Amalina; Motevalli, Saeid; Wong, Kai Yan; Hakim, Muhammad Nazrul – Interactive Technology and Smart Education, 2021
Purpose: This paper aims to examine the effect of e-evaluation on work motivation among teachers during the Movement Control Order (MCO) in COVID-19 and determining the mediating role of stress. Design/methodology/approach: The study is designed using a causal research design to examine the cause-effect relationship between the study variables.…
Descriptors: Electronic Learning, Student Evaluation, Secondary School Students, Secondary School Teachers
Yulianto, Ahmad; Pudjitriherwanti, Anastasia; Kusumah, Chevy; Oktavia, Dies – International Journal of Language Testing, 2023
The increasing use of computer-based mode in language testing raises concern over its similarities with and differences from paper-based format. The present study aimed to delineate discrepancies between TOEFL PBT and CBT. For that objective, a quantitative method was employed to probe into scores equivalence, the performance of male-female…
Descriptors: Computer Assisted Testing, Test Format, Comparative Analysis, Scores
Beatty, Abby E.; Esco, Abby; Curtiss, Ashley B. C.; Ballen, Cissy J. – Chemistry Education Research and Practice, 2022
To test the hypothesis that students who complete remote online tests experience an 'online grade penalty', we compared performance outcomes of second-year students who elected to complete exams online to those who completed face-to-face, paper-based tests in an organic chemistry course. We pursued the following research questions: (RQ1) Are there…
Descriptors: Computer Assisted Testing, College Students, Organic Chemistry, Science Tests
Roever, Carsten; Ikeda, Naoki – Language Testing, 2022
The overarching aim of the study is to explore the extent to which test takers' performances on monologic speaking tasks provide information about their interactional competence. This is an important concern from a test use perspective, as stakeholders tend to consider test scores as providing comprehensive information about all aspects of L2…
Descriptors: Scores, Language Tests, Communicative Competence (Languages), Computer Assisted Testing
LaVoie, Noelle; Parker, James; Legree, Peter J.; Ardison, Sharon; Kilcullen, Robert N. – Educational and Psychological Measurement, 2020
Automated scoring based on Latent Semantic Analysis (LSA) has been successfully used to score essays and constrained short answer responses. Scoring tests that capture open-ended, short answer responses poses some challenges for machine learning approaches. We used LSA techniques to score short answer responses to the Consequences Test, a measure…
Descriptors: Semantics, Evaluators, Essays, Scoring
Goecke, Benjamin; Schmitz, Florian; Wilhelm, Oliver – Journal of Intelligence, 2021
Performance in elementary cognitive tasks is moderately correlated with fluid intelligence and working memory capacity. These correlations are higher for more complex tasks, presumably due to increased demands on working memory capacity. In accordance with the binding hypothesis, which states that working memory capacity reflects the limit of a…
Descriptors: Intelligence, Cognitive Processes, Short Term Memory, Reaction Time
Varga, Szilvia; Pásztor, Attila; Stekács, János – Journal of Intelligence, 2022
The aims of the study are to construct an online instrument to assess different aspects of morphological awareness and to examine its development and its relation to reading comprehension in grades 2-4 in Hungarian children. Altogether, 4134 students were tested. The online test evaluated inflectional, derivational, and compound morphological…
Descriptors: Morphology (Languages), Test Construction, Computer Assisted Testing, Metalinguistics
Panzer, Stefan; Pfeifer, Christina; Leinen, Peter; Shea, Charles – Journal of Motor Learning and Development, 2022
The aim of this experiment was to determine if dyad practice helped individuals become aware, use, and retain information in a dynamically changing perceptual-motor task compared with practice alone. We used a computerized perceptual-motor task, where individuals were required to intercept balls that dropped from the top of the screen. A colored…
Descriptors: Task Analysis, Psychomotor Skills, Physical Activities, Perceptual Motor Coordination
Mshayisa, Vusi Vincent; Basitere, Moses – Journal of Food Science Education, 2021
In STEM (science, technology, engineering, and mathematics) courses, undergraduate laboratory classes are vital for students to develop competencies such as critical observation, collaboration, critical thinking, technical, and problem-solving skills. Thus, for students to successfully acquire these competencies, preparation for laboratory classes…
Descriptors: Flipped Classroom, Teaching Methods, Student Attitudes, STEM Education
Wang, Zhen; Cao, Yang; Gong, Shaoying – Journal of Educational Computing Research, 2023
Although learner characteristics have been identified as important moderator variables for feedback effectiveness, the question of why learners benefit differently from feedback has only received limited attention. In this study, we investigated: (1) whether learners' dominant goal orientation moderated the effects of computer-based elaborated…
Descriptors: Goal Orientation, Feedback (Response), Cues, Student Characteristics
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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