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Marta Marcilla-Jorda; Catarina Grande; Vera Coelho; César Rubio-Belmonte; Micaela Moro-Ipola – Journal of Autism and Developmental Disorders, 2025
Autism spectrum disorder (ASD) is characterized by impairments in many functional areas requiring long-term interventions to promote autonomy. This study aims to map The Sensory Profile™ 2 (SP-2), one of the most widely used assessment tools in children with ASD, with the International Classification of Functioning, Disability and Health for…
Descriptors: Sensory Experience, Profiles, Autism Spectrum Disorders, Classification
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Faiqa Mansoor; Muhammad Haroon Usmani; Murtaza Ashiq – portal: Libraries and the Academy, 2025
The Punjab University Library (PUL) is the oldest and largest public-sector university library in Pakistan, established in 1873 as a Punjab University College Library and then upgraded as PUL in 1882. As in many other post-colonial countries, the end of British rule over South Asians in 1947 did not end colonialism itself, as an embedded feature…
Descriptors: Foreign Countries, Academic Libraries, Decolonization, Postcolonialism
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Anna Parola; Jenny Marcionetti – Journal of Adolescence, 2025
Introduction: Career transitions are considered to be the most challenging tasks in adolescence. Personal resources are important factors in coping with the difficulties encountered during transitions and help individuals to adjust more smoothly to these transitions. Using a person-centered approach, this study aims to identify typologies of…
Descriptors: Career Change, Adolescents, Coping, Resources
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Grace Gowdy; Renée Spencer; Indhira Udofia; Zenobia Fennell; Andi Jones – Journal of Adolescent Research, 2025
Core and capital mentoring relationships have been demonstrated to be distinct types of relationships that have different characteristics, qualities of the relationship, and are linked to different outcomes among adolescents more generally. The present study adds to this growing literature base by examining whether this typology captures well the…
Descriptors: Mentors, Adolescents, Daily Living Skills, Delinquency
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Chelsea Chandler; Rohit Raju; Jason G. Reitman; William R. Penuel; Monica Ko; Jeffrey B. Bush; Quentin Biddy; Sidney K. D’Mello – International Educational Data Mining Society, 2025
We investigated methods to enhance the generalizability of large language models (LLMs) designed to classify dimensions of collaborative discourse during small group work. Our research utilized five diverse datasets that spanned various grade levels, demographic groups, collaboration settings, and curriculum units. We explored different model…
Descriptors: Artificial Intelligence, Models, Natural Language Processing, Discourse Analysis
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Seyed Parsa Neshaei; Richard Lee Davis; Paola Mejia-Domenzain; Tanya Nazaretsky; Tanja Käser – International Educational Data Mining Society, 2025
Deep learning models for text classification have been increasingly used in intelligent tutoring systems and educational writing assistants. However, the scarcity of data in many educational settings, as well as certain imbalances in counts among the annotated labels of educational datasets, limits the generalizability and expressiveness of…
Descriptors: Artificial Intelligence, Classification, Natural Language Processing, Technology Uses in Education
Perry A. Zirkel – Communique, 2025
For many students, when considering eligibility for special education under the Individuals with Disabilities Education Act (IDEA), the primary (though not only) classification at issue is emotional disturbance (ED). Despite continuing professional controversy concerning the IDEA's definitional criteria for the emotional disturbance…
Descriptors: Emotional Disturbances, Eligibility, Special Education, Equal Education
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Muhammad Kamal Hossen; Mohammad Shorif Uddin – Education and Information Technologies, 2025
Online learning continues to expand due to globalization and the COVID-19 pandemic. However, maintaining student engagement in this new normal has become increasingly difficult. Conventional techniques, such as self-reports and manual observations, often fall short of capturing the subtle behaviors that indicate attentiveness. This emphasizes the…
Descriptors: Learner Engagement, Online Courses, Artificial Intelligence, Technology Uses in Education
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James Russo; Toby Russo – Mathematics Teacher Education and Development, 2025
Mathematical games are widely used in primary school classrooms, yet the activities that are labelled as "games" vary considerably in their structure, cognitive demands, and potential to support student reasoning. This conceptual paper offers a typology that distinguishes between pseudo-games, superficial games, gamification, and…
Descriptors: Mathematics Education, Elementary School Mathematics, Gamification, Game Based Learning
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Bridget D. Owusu; Laurie A. Stargell; Josie Otto; Meena M. Balgopal – Biochemistry and Molecular Biology Education, 2025
Understanding the structure and function of proteins is crucial for students as it provides fundamental insights into one of the central building blocks of life. Yet, undergraduate students struggle to make sense of proteins and apply knowledge about why structure affects function. Here, we expand on an existing typology of common protein…
Descriptors: Undergraduate Students, Student Attitudes, Misconceptions, Scientific Concepts
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Dubravka Svetina Valdivia; Shenghai Dai – Journal of Experimental Education, 2024
Applications of polytomous IRT models in applied fields (e.g., health, education, psychology) are abound. However, little is known about the impact of the number of categories and sample size requirements for precise parameter recovery. In a simulation study, we investigated the impact of the number of response categories and required sample size…
Descriptors: Item Response Theory, Sample Size, Models, Classification
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Genshu Lu; Shuang Wen – Asia-Pacific Education Researcher, 2024
This study explored student engagement typology in Chinese universities and examined variations in the ability development across student types. Using data generated by a survey study covering 8461 undergraduate students at 53 Chinese universities, this research applied latent profile analysis to construct a Chinese student engagement typology. We…
Descriptors: Learner Engagement, Undergraduate Students, Foreign Countries, Classification
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Anderson Pinheiro Cavalcanti; Rafael Ferreira Mello; Dragan Gaševic; Fred Freitas – International Journal of Artificial Intelligence in Education, 2024
Educational feedback is a crucial factor in the student's learning journey, as through it, students are able to identify their areas of deficiencies and improve self-regulation. However, the literature shows that this is an area of great dissatisfaction, especially in higher education. Providing effective feedback becomes an increasingly…
Descriptors: Prediction, Feedback (Response), Artificial Intelligence, Automation
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Hlologelo Climant Khoza; Bob Maseko – Alberta Journal of Educational Research, 2024
Research in science education has established the significance of collaborative concept mapping as a powerful strategy in fostering conceptual learning. During such collaboration, students talk about concept map features (i.e., concepts to include, linking words, and cross-links) in constructing a joint map. The quality of the concept map produced…
Descriptors: Discourse Analysis, Concept Mapping, Audio Equipment, Biology
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Sarah F. Small – Journal of Economic Education, 2024
The author of this article describes an exercise for introductory economics courses in which students are exposed to the breadth of economic study using JEL codes. JEL codes have historically been used to classify economic subject matter and ultimately document the ever-evolving scope of economics. This discussion assignment provides an…
Descriptors: Economics Education, Introductory Courses, Learning Activities, Assignments
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