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Roksana Markiewicz; Foyzul Rahman; Ian Apperly; Ali Mazaheri; Katrien Segaert – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
We investigated the relationship between Theory of Mind (ToM) and communicative cooperation. Specifically, we examined whether communicative cooperation is affected by the ToM ability of one's cooperative partner as well as their own. ToM is the attribution of mental states to oneself and others; cooperation is the joint action that leads to…
Descriptors: Theory of Mind, Cooperation, Foreign Countries, College Students
Jiyoun Kim; Chia-Wen Chen; Yi-Jhen Wu – Large-scale Assessments in Education, 2024
Learning strategies have been recognized as important predictors of mathematical achievement. In recent studies, it has been found that Asian students use combined learning strategies, primarily including metacognitive strategies, rather than rote memorization. To the best of the authors' knowledge, there is only one prior study including South…
Descriptors: Achievement Tests, Foreign Countries, Learning Strategies, Mathematics Achievement
Morgan Parker; Laura Johnson; Roland Paquette; Alan Sakaguchi; Rekha Kar – Anatomical Sciences Education, 2024
An increasing number of practicing physician assistants (PAs) are using ultrasound (US) in clinical settings. However, a lack of US learning objectives for PA students limits the optimal integration of this imaging modality in PA curricula. This study surveyed PA program directors across the United States to create a list of US learning objectives…
Descriptors: Diagnostic Tests, Allied Health Personnel, Technology Integration, Anatomy
Arif Cem Topuz; Kinshuk – Educational Technology Research and Development, 2024
Online assessments of learning, or online exams, have become increasingly widespread with the rise of distance learning. Online exams are preferred by many students and are perceived as a quick and easy tool to measure knowledge. On the contrary, some students are concerned about the possibility of cheating and technological difficulties in online…
Descriptors: Computer Assisted Testing, Student Evaluation, Evaluation Methods, Student Attitudes
Saba Gerami; Eric Khiu; Vilma Mesa; Thomas Judson – Educational Studies in Mathematics, 2024
Using Balacheff's (2013) model of conceptions, we inferred potential conceptions in three examples presented in the spanning sets section of an interactive linear algebra textbook. An analysis of student responses to two similar reading questions revealed additional strategies that students used to decide whether a vector was in the spanning set…
Descriptors: Foreign Countries, Mathematical Concepts, Algebra, Textbooks
Valentina Riva; Laura Villa; Francesca Fulceri; Giuseppe Maurizio Arduino; Guido Leonti; Giovanni Valeri; Laura Casula; Leonardo Zoccante; Elena Puttini; Carla Sogos; Mariaelena Presicce; Arianna Bentenuto; Fabio Apicella; Massimo Molteni; Maria Luisa Scattoni – Journal of Autism and Developmental Disorders, 2024
The COVID-19 pandemic has fast-tracked interest in telehealth methods to guarantee the continuity of care of children with Autism Spectrum Disorder (ASD). Store-and-forward telehealth approaches offer the opportunity to facilitate timely screening of ASD, allowing parents to record videos of their child's behaviors, subsequently shared with…
Descriptors: Screening Tests, Early Intervention, Telecommunications, Autism Spectrum Disorders
Cuilan Qiao; Yuqing Chen; Qing Guo; Yunwei Yu – International Journal of STEM Education, 2024
In the era defined by the fourth paradigm of science research, the burgeoning volume of science data poses a formidable challenge. The established data-related requisites within science literacy now fall short of addressing the evolving needs of researchers and STEM students. Consequently, the emergence of science data literacy becomes imperative.…
Descriptors: Scientific Literacy, Data, STEM Education, Majors (Students)
Casie H. Morgan; Monica Abdul-Chani; Gabriela M. Sherrod; Kathryn P. King; Kristi Carter Guest – International Journal of Developmental Disabilities, 2024
Objective: In the United States, autism spectrum disorder (ASD) is significantly less diagnosed in Spanish-speaking populations compared to other racial/ethnic groups. Structural barriers such as transportation, insurance, and time have been documented within this population. However, many families also report language as a barrier. The present…
Descriptors: Autism Spectrum Disorders, Screening Tests, Spanish, Clinical Diagnosis
Ryan McCreery – Volta Review, 2024
Children can only develop spoken language through consistent exposure to the acoustic cues that comprise speech and language. Until recently, hearing levels from the clinical audiogram were the primary measure used to define typical hearing and the presence or degree of a child's hearing loss. While the clinical audiogram remains an important…
Descriptors: Children, Oral Language, Speech Communication, Language Acquisition
Ulrike Padó; Yunus Eryilmaz; Larissa Kirschner – International Journal of Artificial Intelligence in Education, 2024
Short-Answer Grading (SAG) is a time-consuming task for teachers that automated SAG models have long promised to make easier. However, there are three challenges for their broad-scale adoption: A technical challenge regarding the need for high-quality models, which is exacerbated for languages with fewer resources than English; a usability…
Descriptors: Grading, Automation, Test Format, Computer Assisted Testing
Eren Can Aybek; Serkan Arikan; Günes Ertas – International Journal of Assessment Tools in Education, 2024
When it is required to estimate item parameters of a large item bank, Multiple Matrix Sampling (MMS) design provides an efficient way while minimizing the test burden on students. The current study exemplifies how to calibrate a large item pool using MMS design for various purposes, such as developing a CAT administration. The purpose of the…
Descriptors: Elementary School Mathematics, Elementary School Students, Grade 4, Item Banks
Leila Ouahrani; Djamal Bennouar – International Journal of Artificial Intelligence in Education, 2024
We consider the reference-based approach for Automatic Short Answer Grading (ASAG) that involves scoring a textual constructed student answer comparing to a teacher-provided reference answer. The reference answer does not cover the variety of student answers as it contains only specific examples of correct answers. Considering other language…
Descriptors: Grading, Automation, Answer Keys, Tests
Clarice Martins; Nadia C. Valentini; Arja Sääkslahti; Eileen K. Africa; E. Kipling Webster; Glauber Nobre; Leah E. Robinson; Michael Duncan; Patrizia Tortella; Paulo F. Bandeira; Lisa M. Barnett – Journal of Motor Learning and Development, 2024
The first years of life are an optimal time for developing motor competence. However, the evidence regarding motor competence in early childhood is fragmented and needs to be clearly synthesized and presented. To establish effective evidence-based decision making in research, practice, and policy for the early years, this expert statement, on…
Descriptors: Psychomotor Skills, Child Development, Motor Development, Child Health
A. P. Tadanki; C. Hernandez-Tamayo; N. Saremi; C. Stafylis; J. D. Klausner – Journal of American College Health, 2024
Objective: Genital herpes is a common sexually transmitted disease among young adults in the United States. We conducted a cross-sectional survey to evaluate herpes simplex virus knowledge among university students. Participants: 612 full-time undergraduate students. Methods: We gathered data on demographics, sexual activity, knowledge about the…
Descriptors: Sexually Transmitted Diseases, Undergraduate Students, Knowledge Level, Student Attitudes
Using Machine Learning to Predict UK and Japanese Secondary Students' Life Satisfaction in PISA 2018
Zexuan Pan; Maria Cutumisu – British Journal of Educational Psychology, 2024
Background: Life satisfaction is a key component of students' subjective well-being due to its impact on academic achievement and lifelong health. Although previous studies have investigated life satisfaction through different lenses, few of them employed machine learning (ML) approaches. Objective: Using ML algorithms, the current study predicts…
Descriptors: Artificial Intelligence, Secondary School Students, Life Satisfaction, Foreign Countries

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