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Hongfei Ye; Jian Xu; Danqing Huang; Meng Xie; Jinming Guo; Junrui Yang; Haiwei Bao; Mingzhi Zhang; Ce Zheng – Discover Education, 2025
This study evaluates Large language models (LLMs)' performance on Chinese Postgraduate Medical Entrance Examination (CPGMEE) as well as the hallucinations produced by LLMs and investigate their implications for medical education. We curated 10 trials of mock CPGMEE to evaluate the performances of 4 LLMs (GPT-4.0, ChatGPT, QWen 2.1 and Ernie 4.0).…
Descriptors: College Entrance Examinations, Foreign Countries, Computational Linguistics, Graduate Medical Education
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Valentina Albano; Donatella Firmani; Luigi Laura; Jerin George Mathew; Anna Lucia Paoletti; Irene Torrente – Journal of Learning Analytics, 2023
Multiple-choice questions (MCQs) are widely used in educational assessments and professional certification exams. Managing large repositories of MCQs, however, poses several challenges due to the high volume of questions and the need to maintain their quality and relevance over time. One of these challenges is the presence of questions that…
Descriptors: Natural Language Processing, Multiple Choice Tests, Test Items, Item Analysis
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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
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Mimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory
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R. Freed; D. H. McKinnon; M. T. Fitzgerald; S. Salimpour – Physical Review Physics Education Research, 2023
This paper presents the results of a confirmatory factor analysis on two self-efficacy scales designed to probe the self-efficacy of college-level introductory astronomy (Astro-101) students (n ¼ 15181) from 22 institutions across the United States of America and Canada. The students undertook a course based on similar curriculum materials, which…
Descriptors: Self Efficacy, Science Instruction, Astronomy, Factor Analysis
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Dahlkemper, Merten Nikolay; Lahme, Simon Zacharias; Klein, Pascal – Physical Review Physics Education Research, 2023
This study aimed at evaluating how students perceive the linguistic quality and scientific accuracy of ChatGPT responses to physics comprehension questions. A total of 102 first- and second-year physics students were confronted with three questions of progressing difficulty from introductory mechanics (rolling motion, waves, and fluid dynamics).…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
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González Mendoza, Julio Alfonso; Rodríguez-Isidro, Francisco Esteban; Cañizares-Arévalo, Jorge de Jesús – Journal of Language and Linguistic Studies, 2022
When mentioning different actions that lead to the implementation of strategic planning in the use of ICT for achieving educational quality in the UFPS, it should become a concretion of the practical participation of these entities to try to achieve quality standards in education. In this sense, when it is intended to generate actions that lead to…
Descriptors: Information Technology, Educational Quality, Strategic Planning, Educational Improvement
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Bin Zou; Sitian Xie; Chenghao Wang – International Journal of Information and Communication Technology Education, 2025
Willingness to Communicate (WTC) plays a crucial role in developing students' speaking proficiency in English as a Foreign Language (EFL) learning. This study investigates whether students' in-class WTC can be enhanced through an AI-supported program and explores their perceptions of using the AI for future academic speaking development. A…
Descriptors: Artificial Intelligence, Computer Software, Speech Communication, Classroom Communication
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von Davier, Matthias; Tyack, Lillian; Khorramdel, Lale – Educational and Psychological Measurement, 2023
Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…
Descriptors: Scoring, Networks, Artificial Intelligence, Elementary Secondary Education
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Kalbe, Felix; Schwabe, Lars – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Stimuli encoded shortly before an aversive event are typically well remembered. Traditionally, this emotional memory enhancement has been attributed to beneficial effects of physiological arousal on memory formation. Here, we proposed an additional mechanism and tested whether memory formation is driven by the unpredictable nature of aversive…
Descriptors: Prediction, Memory, Fear, Conditioning
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Tajeddin, Zia; Khatib, Mohammad; Mahdavi, Mohsen – Language Testing, 2022
Critical language assessment (CLA) has been addressed in numerous studies. However, the majority of the studies have overlooked the need for a practical framework to measure the CLA dimension of teachers' language assessment literacy (LAL). This gap prompted us to develop and validate a critical language assessment literacy (CLAL) scale to further…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests
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Nicklin, Christopher; Vitta, Joseph P. – Language Testing, 2022
Instrument measurement conducted with Rasch analysis is a common process in language assessment research. A recent systematic review of 215 studies involving Rasch analysis in language testing and applied linguistics research reported that 23 different software packages had been utilized. However, none of the analyses were conducted with one of…
Descriptors: Programming Languages, Vocabulary Development, Language Tests, Computer Software
Beauchamp, David; Constantinou, Filio – Research Matters, 2020
Assessment is a useful process as it provides various stakeholders (e.g., teachers, parents, government, employers) with information about students' competence in a particular subject area. However, for the information generated by assessment to be useful, it needs to support valid inferences. One factor that can undermine the validity of…
Descriptors: Computational Linguistics, Inferences, Validity, Language Usage
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Rico, Mercedes; Fielden, Laura Victoria; Sánchez, Héctor – JALT CALL Journal, 2019
While the globalized nature of contemporary society can be empowering for many, it may mean the maintenance of social iniquities for others, such as migrant populations. Spain, like many other European countries, has faced a high migration influx in the last decades. As a result, the government has invested in measures orientated toward social…
Descriptors: Social Integration, Social Differences, Computer Software, Computer Assisted Instruction
Mullis, Ina V. S., Ed.; Martin, Michael O., Ed.; von Davier, Matthias, Ed. – International Association for the Evaluation of Educational Achievement, 2021
TIMSS (Trends in International Mathematics and Science Study) is a long-standing international assessment of mathematics and science at the fourth and eighth grades that has been collecting trend data every four years since 1995. About 70 countries use TIMSS trend data for monitoring the effectiveness of their education systems in a global…
Descriptors: Achievement Tests, International Assessment, Science Achievement, Mathematics Achievement
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