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Karakose, Turgut; Demirkol, Murat; Aslan, Nurcihan; Köse, Hüseyin; Yirci, Ramazan – Educational Process: International Journal, 2023
Background/purpose: ChatGPT, an AI-powered chatbot designed with generative pre-trained transformer architecture, have intrigued millions of people from diverse backgrounds since its first release, and generated excitement with its groundbreaking performance in numerous use cases they have been tested. Its ability to generate coherent and…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, Scientific Research
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Jones, Sandra C.; Gordon, Chloe S.; Mizzi, Simone – Autism: The International Journal of Research and Practice, 2023
Media depictions of autism have the potential to have either positive or detrimental impacts on the lives of autistic people. This systematic review aimed to examine (1) the accuracy and authenticity of fictional media portrayals of autism (Part A) and (2) the impact of viewing such portrayals on knowledge about autism and attitudes towards…
Descriptors: Autism Spectrum Disorders, Mass Media Effects, Fiction, Accuracy
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Liu, Houjun; MacWhinney, Brian; Fromm, Davida; Lanzi, Alyssa – Journal of Speech, Language, and Hearing Research, 2023
Purpose: A major barrier to the wider use of language sample analysis (LSA) is the fact that transcription is very time intensive. Methods that can reduce the required time and effort could help in promoting the use of LSA for clinical practice and research. Method: This article describes an automated pipeline, called Batchalign, that takes raw…
Descriptors: Automation, Language Tests, Computational Linguistics, Morphology (Languages)
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Ibbotson, Paul; Roque-Gutierrez, Ernesto – Journal of Cognition and Development, 2023
Small but robust differences in cognition exist between the sexes in adult populations. Studying sex differences in children's cognition can bring insight into when, where and how these differences might emerge in development. Here, we focus on differences in working memory because of its importance in underpinning a wide range of complex…
Descriptors: Gender Differences, Short Term Memory, Accuracy, Reaction Time
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Henderson, Cassandra M.; Fantuzzo, John W. – Journal of Education for Students Placed at Risk, 2023
In response to the Every Student Succeeds Act (ESSA) (2015), 36 U.S. states have adopted chronic absenteeism as an indicator of school quality and student success. It is also being increasingly utilized within schools to identify students at risk for future educational problems, as research consistently shows that early absences are related to…
Descriptors: Educational Legislation, Federal Legislation, Elementary Secondary Education, Attendance Patterns
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Eren, Hande Busra; Caliskan, Gokhan – Physical Educator, 2023
In this study, classifications were made from the data obtained from the Health-Related Physical Fitness Report cards and BMIs of students through data mining methods, artificial neural networks, and decision trees models. Then the classification performances of both models were compared. The body weight and height measurements of the students in…
Descriptors: Physical Fitness, High School Students, Report Cards, Body Composition
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Cowan, Nelson; Elliott, Emily M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
We used the timing of serial recall in several situations to reveal important aspects of recall groupings that participants construct and the reasons those groupings occur. We examined the timing of responses in the recall of digit strings within two published experiments. Cowan, Saults, Elliott, and Moreno (2002) examined memory for nine-item…
Descriptors: Serial Ordering, Recall (Psychology), Reaction Time, Short Term Memory
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Lui, Ming; Lau, Gilbert Ka Bo; Han, Yvonne Ming Yee; Yuen, Kevin Chi Pun; Sommer, Werner – Journal of Autism and Developmental Disorders, 2023
This study investigated whether individuals with high autistic traits rely on psychoacoustic abilities in affective prosody recognition (APR). In 94 college students, Autism Spectrum Quotient (AQ) and psychoacoustic abilities were measured. Results indicated that higher AQ, higher rapid auditory processing (RAP), and maleness were associated with…
Descriptors: Auditory Perception, Emotional Response, Suprasegmentals, Recognition (Psychology)
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León, Samuel P.; Panadero, Ernesto; García-Martínez, Inmaculada – Educational Psychology Review, 2023
Developing the ability to self-assess is a crucial skill for students, as it impacts their academic performance and learning strategies, amongst other areas. Most existing research in this field has concentrated on the exploration of the students' capacity to accurately assign a score to their work that closely mirrors an expert's evaluation,…
Descriptors: Self Evaluation (Individuals), Accuracy, Evaluation Criteria, Scoring Rubrics
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Yang, Shuran; Han, Dong; Zhou, Huizhi; Yang, Chen; Zhang, Kun; Chen, Shi; Yang, Runxu; Cao, Xia; Grodberg, David; Zhao, Xudong; Kang, Chuanyuan – Journal of Autism and Developmental Disorders, 2023
The Autism Mental Status exam (AMSE) has demonstrated excellent sensitivity and specificity in Western high-risk population with suspected autism spectrum disorder (ASD). This study aimed to evaluate the psychometric properties of the AMSE in a sample of high-risk Chinese children, and to determine the optimal cutoff score of the Chinese version…
Descriptors: Validity, Cutting Scores, Accuracy, Diagnostic Tests
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Mary Jane Brundage; Alysa Malespina; Chandralekha Singh – Physical Review Physics Education Research, 2023
Collaborative learning with peers can lead to students learning from each other and solving physics problems correctly not only in situations in which one student knows how to solve the problems but also when none of the students can solve the problems alone. We define the rate of construction as the percentage of groups collaborating on problem…
Descriptors: Peer Relationship, Cooperative Learning, Science Education, Quantum Mechanics
Senapati, Biswaranjan – ProQuest LLC, 2023
A neurological disorder, along with several behavioral issues, may be to blame for a child's subpar performance in the academic journey (such as anxiety, depression, learning disorders, and irritability). These symptoms can be used to diagnose children with ASD, and supervised machine learning models can help differentiate between ASD traits and…
Descriptors: Artificial Intelligence, Educational Technology, Autism Spectrum Disorders, Models
Stacy Lynn Russell – ProQuest LLC, 2023
Background: PPE training is essential to prevent transmission of infections or autoinoculation of infections among healthcare providers and patients. Student nurses play a vital role in infection control practices to protect themselves and patients from transmittable infections. The purpose of this study was to evaluate an innovative teaching and…
Descriptors: Undergraduate Students, Nursing Students, Computer Simulation, Accuracy
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Roberto Silva de Souza Jr.; Endler Marcel Borges – Journal of Chemical Education, 2023
This laboratory experiment was divided into four parts. In the first part, students evaluate previously published data and check their normality using histograms, Q-Q plots, the Shapiro-Wilk test, and boxplots. In the second part, two different groups were compared. First, data normality and homoskedasticity were checked by using the Shapiro-Wilk…
Descriptors: Statistics Education, Hypothesis Testing, Chemistry, Comparative Analysis
Katie Eklund; Stephen Kilgus; Miranda Zahn; Nathaniel von der Embse; Jessica Willenbrink; Elizabeth Davis; Teagan Twombly – Grantee Submission, 2023
The purpose of this study was to examine the accuracy of function-based decisions made in consideration of scores from the Intervention Selection Profile (ISP)-Function, a tool founded upon direct behavior rating methodology. The ISP-Function is designed to be a brief measure, given the need for efficient and low resource assessments in schools.…
Descriptors: Functional Behavioral Assessment, Intervention, Behavior Rating Scales, Student Behavior
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