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Jie Yang; Ehsan Latif; Yuze He; Xiaoming Zhai – Journal of Science Education and Technology, 2025
The development of explanations for scientific phenomena is crucial in science assessment. However, the scoring of students' written explanations is a challenging and resource-intensive process. Large language models (LLMs) have demonstrated the potential to address these challenges, particularly when the explanations are written in English, an…
Descriptors: Artificial Intelligence, Technology Uses in Education, Automation, Scoring
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Katherine E. Reuben; Jalayne J. Arias; Shannon Self-Brown; Erin Vinoski Thomas – Journal of Autism and Developmental Disorders, 2025
Autistic individuals with higher support needs, including those with co-occurring intellectual disability (ID) and language impairment (LI), are underrepresented in research. Researchers who attempt to include this population face unique challenges regarding participant recruitment, informed consent, accurate measurement, and protecting privacy…
Descriptors: Inclusion, Autism Spectrum Disorders, Intellectual Disability, Language Impairments
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Okan Yetisensoy – Journal of Pedagogical Research, 2025
Generative artificial intelligence (GenAI) models have led to many positive changes in educational settings; however, the validity of the content they produce remains a significant topic of academic discussion. This research aims to determine the validity of content produced by text-to-image models within the context of social studies education.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Validity, Models
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R.-M. Gibeau; D. Cousineau – Teaching Statistics: An International Journal for Teachers, 2025
To this date, few standardized tests measuring students' performance with regards to statistics exist. Only four tests have been proposed for college or university students. The goal of the present study is to investigate these tests. University professors or instructors experienced in teaching statistics were asked to list the concepts they think…
Descriptors: Statistics Education, Student Evaluation, Standardized Tests, Mathematics Tests
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Shaona Zhou; Qiuye Li; Yi Zhong; Sihang Liang; Yongxuan Li; Yifeng Ou; Xianqiu Wu – Physical Review Physics Education Research, 2025
Given the widespread presence of competition in educational settings and its complex impact on science learning, how students complete tasks in competitive environments has attracted a wide range of attention. The purpose of this study is to compare students' performance on physics conceptual questions in noncompetitive and competitive…
Descriptors: Competition, Physics, Science Education, Scientific Concepts
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Sara Germansky; Patricia Snyder; BoRam Song – Journal of Early Intervention, 2025
The purpose of this study was to use a direct behavioral observation coding system to quantify and categorize children's mands and teachers' contingent responses in three types of typically occurring preschool classroom activities. Children's mands were categorized based on their presumed function, and teachers' responses were coded based on…
Descriptors: Preschool Teachers, Teacher Response, Verbal Operant Conditioning, Reinforcement
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Melissa Dan Wang; Xiaoli Su; Icy Lee – Modern Language Journal, 2025
Self-report surveys are widely used in applied linguistics. Nevertheless, insufficient effort responding--often stemming from a lack of motivation from participants--can compromise survey data quality and distort research findings. This study investigated insufficient effort responding through an online survey assessing second language (L2)…
Descriptors: Applied Linguistics, Online Surveys, Assessment Literacy, Language Teachers
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Jiangang Hao; Wenju Cui; Patrick Kyllonen; Emily Kerzabi; Lei Liu; Michael Flor – Journal of Educational Measurement, 2025
Collaborative problem solving is widely recognized as a critical 21st-century skill. Assessing collaborative problem solving depends on coding the communication data using a construct-relevant framework, and this process has long been a major bottleneck to scaling up such assessments. Based on five datasets and two coding frameworks, we…
Descriptors: Cooperative Learning, Problem Solving, 21st Century Skills, Automation
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Zhao, Zhong; Wei, Jiwei; Xing, Jiayi; Zhang, Xiaobin; Qu, Xingda; Hu, Xinyao; Lu, Jianping – Journal of Autism and Developmental Disorders, 2023
This study segmented the time series of gaze behavior from nineteen children with autism spectrum disorder (ASD) and 20 children with typical development in a face-to-face conversation. A machine learning approach showed that behavior segments produced by these two groups of participants could be classified with the highest accuracy of 74.15%.…
Descriptors: Children, Autism Spectrum Disorders, Symptoms (Individual Disorders), Eye Movements
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Sen, Sedat; Cohen, Allan S. – Educational and Psychological Measurement, 2023
The purpose of this study was to examine the effects of different data conditions on item parameter recovery and classification accuracy of three dichotomous mixture item response theory (IRT) models: the Mix1PL, Mix2PL, and Mix3PL. Manipulated factors in the simulation included the sample size (11 different sample sizes from 100 to 5000), test…
Descriptors: Sample Size, Item Response Theory, Accuracy, Classification
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Harari, Ofir; Soltanifar, Mohsen; Cappelleri, Joseph C.; Verhoek, Andre; Ouwens, Mario; Daly, Caitlin; Heeg, Bart – Research Synthesis Methods, 2023
Effect modification (EM) may cause bias in network meta-analysis (NMA). Existing population adjustment NMA methods use individual patient data to adjust for EM but disregard available subgroup information from aggregated data in the evidence network. Additionally, these methods often rely on the shared effect modification (SEM) assumption. In this…
Descriptors: Networks, Network Analysis, Meta Analysis, Evaluation Methods
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Arbain – Indonesian Journal of English Language Teaching and Applied Linguistics, 2023
This study aims to investigate the types and functions of expressions of fear realized in the form of sentences. With a special context in horror movies, the researcher attempted to reveal the types and functions of fear expressions such as directive, commissive, expressive, assertive, and declarative. This research focuses on the subtitles of the…
Descriptors: Films, Speech Acts, Accuracy, Fear
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Ning, Xiaoke – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the vigorous development of intelligent campus construction, great changes have taken place in the development of information technology in colleges and universities from the previous digital to intelligent development. In the teaching process, the analysis of students' classroom learning has also changed from the previous manual observation…
Descriptors: College Students, Algorithms, Student Behavior, Artificial Intelligence
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Giménez-Fernández, Tamara; Vicente-Conesa, Francisco; Luque, David; Vadillo, Miguel A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
In a typical probabilistic cuing experiment, participants are asked to find a visual target among a series of distractors. Although participants are not informed about this, the target appears more frequently in one region of the display, resulting in faster search times for targets located in this region. This bias is thought to depend on a…
Descriptors: Short Term Memory, Probability, Cues, Attention
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Hsing, Hsiang-Wen; Bairaktarova, Diana; Lau, Nathan – Journal of Engineering Education, 2023
Background: Spatial problem-solving is an essential skill for success in many engineering disciplines; thus, understanding the cognitive processes involved could help inform the design of training interventions for students trying to improve this skill. Prior research has yet to investigate the differences in cognitive processes between spatial…
Descriptors: Eye Movements, Cognitive Processes, Problem Solving, Engineering Education
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