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Caroline Larson; Hannah R. Thomas; Jason Crutcher; Michael C. Stevens; Inge-Marie Eigsti – Review Journal of Autism and Developmental Disorders, 2025
Autism Spectrum Disorder (ASD) is a heterogeneous condition associated with differences in functional neural connectivity relative to neurotypical (NT) peers. Language-based functional connectivity represents an ideal context in which to characterize connectivity because language is heterogeneous and linked to core features in ASD, and NT language…
Descriptors: Autism Spectrum Disorders, Brain, Brain Hemisphere Functions, Language Processing
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Paavola Satu; Laakso Minna; Saalasti Satu – Review Journal of Autism and Developmental Disorders, 2025
In this scoping review on 34 studies, we examined the use of immersive virtual reality (IVR) in neurodevelopmental disorders (NDD). IVR was mostly used in connection with autism spectrum disorder (ASD) for assessment of and intervention in social skills, and in attention deficit hyperactivity disorder (ADHD) for assessment of executive…
Descriptors: Computer Simulation, Neurodevelopmental Disorders, Autism Spectrum Disorders, Intervention
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Tong Wu; Stella Y. Kim; Carl Westine; Michelle Boyer – Journal of Educational Measurement, 2025
While significant attention has been given to test equating to ensure score comparability, limited research has explored equating methods for rater-mediated assessments, where human raters inherently introduce error. If not properly addressed, these errors can undermine score interchangeability and test validity. This study proposes an equating…
Descriptors: Item Response Theory, Evaluators, Error of Measurement, Test Validity
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Wan Fazwani Wan Mat; Lim Hooi Lian – Journal of Education and Learning (EduLearn), 2025
This bibliometric article examines the current state of publication in the field of classroom assessment, exploring the productivity and influence of countries, institutions, and authors. A search query of on the Scopus database using the term "classroom assessment" or "classroom-based assessment" or "assessment for…
Descriptors: Alternative Assessment, Student Evaluation, Bibliometrics, Formative Evaluation
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Ole Eggers Bjaelde; David Boud; Annika Büchert Lindberg – Active Learning in Higher Education, 2025
Many students struggle with making sense of feedback information and in applying and transferring it to new contexts. Research literature suggests that low-performing students are especially at risk because they often do not understand assessment criteria and cannot utilise information they receive. This paper addresses this problem through…
Descriptors: Undergraduate Students, Academic Achievement, Feedback (Response), Evaluation Methods
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Remmert Daas; Anne Bert Dijkstra; Sjoerd Karsten; Geert ten Dam – Education, Citizenship and Social Justice, 2025
In this paper, we develop an open-ended approach to evaluating students' citizenship competences. We aim to give students the opportunity to describe what citizenship means for them in personally relevant contexts. We developed three rubrics relevant to students' citizenship in daily life. Students in grade 10 and 11(M[subscript age] = 16)…
Descriptors: Evaluation Methods, Student Evaluation, Citizenship, Competence
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Jonas Flodén – British Educational Research Journal, 2025
This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…
Descriptors: College Faculty, Artificial Intelligence, Comparative Testing, Scoring
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Leen Adel Gammoh – Education and Information Technologies, 2025
This qualitative study examines the risks educators in Jordan face with the integration of ChatGPT, an emerging AI technology, into academic settings. While considerable attention has been given to risks affecting university students, there remains a gap in understanding the specific challenges encountered by educators themselves. Through…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Integration
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Yusuf Oc; Hela Hassen – Marketing Education Review, 2025
Driven by technological innovations, continuous digital expansion has transformed fundamentally the landscape of modern higher education, leading to discussions about evaluation techniques. The emergence of generative artificial intelligence raises questions about reliability and academic honesty regarding multiple-choice assessments in online…
Descriptors: Higher Education, Multiple Choice Tests, Computer Assisted Testing, Electronic Learning
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Henrique Mohallem Paiva; Flávia Maria Santoro; Victor Takashi Hayashi; Bianca Cassemiro Lima – IEEE Transactions on Education, 2025
Contribution: This article analyzes student assessment within a computing faculty employing a full project-based learning (PBL) approach. Examining 2078 final grades across 60 classes and periods, the study reveals a significant correlation between graded self-studies, exams, and projects. This result contributes to understanding the reliability…
Descriptors: Student Evaluation, Computer Science Education, College Faculty, Correlation
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Lin Xiao; Touchakorn Suwancharas; Narongwat Mingmit; Areeya Juichamlong – International Journal of Education and Literacy Studies, 2025
This study aimed to (1) examine the current status of education quality evaluation in Guangxi's application-oriented undergraduate universities, (2) develop an evaluation indicator system for the educational quality of application-oriented undergraduate colleges in Guangxi, and (3) examine the feasibility and adaptability of the evaluation…
Descriptors: Foreign Countries, Universities, Undergraduate Study, Competency Based Education
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Lauren Prather; Nancy Creaghead; Jennifer Vannest; Lisa Hunter; Amy Hobek; Tamika Odum; Mekibib Altaye; Juanita Lackey – Perspectives of the ASHA Special Interest Groups, 2025
Purpose: The lack of appropriate assessments affects populations presumed to be most at risk for speech and language concerns, one of them being children with a history of preterm birth. This study aims to examine whether cultural bias is present in two currently available language tests for Black children under 3 years of age: the Communication…
Descriptors: African American Children, Premature Infants, Evaluation Methods, Language Tests
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Edmond Kwesi Agormedah – Discover Education, 2025
Many university students, including first-year business education students (FYBES) in Ghana, struggle to adjust to academic demands and university life, leading to low engagement and satisfaction with academic experiences. Despite efforts to improve student engagement and satisfaction, the extent to which gender influence this relationship remains…
Descriptors: Foreign Countries, Gender Differences, Learner Engagement, Undergraduate Students
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Pfuurai Chimbunde; Boitumelo Benjamin Moreeng – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite extensive research on the concerns with the use of ChatGPT that evolve around cheating, academic integrity, and plagiarism, very little is known on the assessment practices in school history, obscuring our understanding on how history teachers can assess students amid ChatGPT driven challenges. This conceptual paper discusses the…
Descriptors: History Instruction, Evaluation Methods, Student Evaluation, Artificial Intelligence
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Liliana Wagner; Tori Foster; Kemberlee Bonnet; Anna Kathleen Spitler; David Schlundt; Zachary Warren – Autism: The International Journal of Research and Practice, 2025
Accurate identification of autism is a pressing challenge for rural, medically underserved communities. Tele-assessment could address some barriers to care by increasing access to expert diagnosticians, but questions remain regarding how best to implement these approaches. To gather community input regarding rural families' perceptions and use of…
Descriptors: Rural Areas, Autism Spectrum Disorders, Family Attitudes, Evaluation Methods
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