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Gerd Kortemeyer; Julian Nöhl – Physical Review Physics Education Research, 2025
This study explores the use of artificial intelligence in grading high-stakes physics exams, emphasizing the application of psychometric methods, particularly item response theory, to evaluate the reliability of AI-assisted grading. We examine how grading rubrics can be iteratively refined and how threshold parameters can determine when…
Descriptors: Physics, Science Tests, Grading, Artificial Intelligence
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Katherine Ryker; Rachel Teasdale; Kelsey Bitting – Journal of Geoscience Education, 2025
Third-party observations using validated observation protocols (OPs) provide a reliable way of recording teacher and student behaviors across different classrooms and institutions, which can then be used to identify what pedagogical strategies geoscience faculty use and how they are tied to learning outcomes of importance to the field. We examined…
Descriptors: Classroom Observation Techniques, Earth Science, STEM Education, Higher Education
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Yuchen Pan; Wenbin Xu; Yunxian Chen; Nana Huang; Yang Wang – Psychology in the Schools, 2025
At the beginning of the 21st century, "number sense" was listed as one of the core words in the mathematics curriculum of compulsory education in China, and it has now become one of the core competencies of primary school mathematics. It is necessary to determine the development of number sense of first-grade primary school students (6-7…
Descriptors: Grade 1, Numeracy, Elementary School Students, Mathematics Curriculum
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Slaviša Radovic; Niels Seidel – Innovative Higher Education, 2025
The integration of advanced learning analytics and data-mining technology into higher education has brought various opportunities and challenges, particularly in enhancing students' self-regulated learning (SRL) skills. Analyzing developed features for SRL support, it has become evident that SRL support is not a binary concept but rather a…
Descriptors: Scoring Rubrics, Evaluation Methods, Higher Education, Educational Technology
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Abdullah Alrubaian – Education and Information Technologies, 2025
As artificial intelligence becomes more widespread, tools such as GPT-3.5, GPT-4, and Google Gemini are also increasingly used as additional resources to help parents understand dyslexia. However, the validity and precision of these instruments have not been studied well. This cross-sectional study assessed ChatGPT-3.5, ChatGPT-4, and Gemini on…
Descriptors: Artificial Intelligence, Accuracy, Models, Dyslexia
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Li, Minzi; Zhang, Xian – Language Testing, 2021
This meta-analysis explores the correlation between self-assessment (SA) and language performance. Sixty-seven studies with 97 independent samples involving more than 68,500 participants were included in our analysis. It was found that the overall correlation between SA and language performance was 0.466 (p < 0.01). Moderator analysis was…
Descriptors: Meta Analysis, Self Evaluation (Individuals), Likert Scales, Research Reports
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Hu, Kaiyan; Zhao, Li; Zhou, Qi; Mei, Fan; Gao, Qianqian; Chen, Fei; Jiang, Mengyao; Zhao, Bing; Zhang, Weiyi; Kwong, Joey S. W.; Ma, Yuxia; Mou, Chenghua; Ma, Bin – Research Synthesis Methods, 2021
The author should give careful consideration to the study eligibility criteria of systematic reviews (SRs) and follow it after review protocol development to reduce the possibility of manipulation of inclusion. Our aim was to investigate the prevalence of differences in study eligibility criteria between non-Cochrane SRs and their pre-registered…
Descriptors: Eligibility, Reliability, Criteria, Literature Reviews
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Stephanie M. Bell; R. Philip Chalmers; David B. Flora – Educational and Psychological Measurement, 2024
Coefficient omega indices are model-based composite reliability estimates that have become increasingly popular. A coefficient omega index estimates how reliably an observed composite score measures a target construct as represented by a factor in a factor-analysis model; as such, the accuracy of omega estimates is likely to depend on correct…
Descriptors: Influences, Models, Measurement Techniques, Reliability
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Pornphan Sureeyatanapas; Panitas Sureeyatanapas; Uthumporn Panitanarak; Jittima Kraisriwattana; Patchanan Sarootyanapat; Daniel O'Connell – Language Testing in Asia, 2024
Ensuring consistent and reliable scoring is paramount in education, especially in performance-based assessments. This study delves into the critical issue of marking consistency, focusing on speaking proficiency tests in English language learning, which often face greater reliability challenges. While existing literature has explored various…
Descriptors: Foreign Countries, Students, English Language Learners, Speech
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Shilan Shafiei – Language Testing in Asia, 2024
The present study aimed to develop an analytic assessment rubric for the consecutive interpreting course in the educational setting in the Iranian academic context. To this end, the general procedure of rubric development, including data preparation, selection, and refinement, was applied. The performance criteria were categorized into content,…
Descriptors: Scoring Rubrics, Translation, Language Processing, Second Languages
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A. E. Ades; Nicky J. Welton; Sofia Dias; David M. Phillippo; Deborah M. Caldwell – Research Synthesis Methods, 2024
Network meta-analysis (NMA) is an extension of pairwise meta-analysis (PMA) which combines evidence from trials on multiple treatments in connected networks. NMA delivers internally consistent estimates of relative treatment efficacy, needed for rational decision making. Over its first 20 years NMA's use has grown exponentially, with applications…
Descriptors: Network Analysis, Meta Analysis, Medicine, Clinical Experience
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Noel Purdy; Herbert Scheithauer; Jonathan Harris; Roy A. Willems; Consuelo Mameli; Annalisa Guarini; Antonella Brighi; Damiano Menin; Catherine Culbert; Jayne Hamilton; Trijntje Völlink; Mark Ballentine; Nora Fiedler; Peter K. Smith – International Journal of Developmental Science, 2024
This original paper, based on data from the Erasmus+Blurred Lives Project, presents a new multi-dimensional categorisation model to describe negative online experiences, including forms of cyberbullying, based on a study of internet usage among over N = 2,500 adolescents with lower socio-economic status (SES) backgrounds across five European…
Descriptors: Internet, Computer Mediated Communication, Bullying, Adolescents
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Lucy Chambers; Sylvia Vitello; Carmen Vidal Rodeiro – Assessment in Education: Principles, Policy & Practice, 2024
In England, some secondary-level qualifications comprise non-exam assessments which need to undergo moderation before grading. Currently, moderation is conducted at centre (school) level. This raises challenges for maintaining the standard across centres. Recent technological advances enable novel moderation methods that are no longer bound by…
Descriptors: Foreign Countries, Evaluation Methods, Comparative Analysis, Grading
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Scott H. Yamamoto – Journal of Psychoeducational Assessment, 2024
This was the first study in which a psychometrically validated STEM measure, the "Student STEM" (S-STEM), was studied for HSSWD. This study also represented the first time a psychometrically validated STEM measure, the "Student STEM" (S-STEM), was studied for HSSWD. Data were collected from 229 HSSWD in a western state and…
Descriptors: Psychometrics, STEM Education, Student Attitudes, High School Students
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Nikita Yadav; Rajkumari Singh – Journal on Educational Psychology, 2024
This paper is an attempt to develop and validate the Emotional Competence Scale (ECS) in order to assess the emotional competence of upper primary school students. This review was done to find the dimensions that measure emotional competence. The dimensions are classified into two broad categories, such as personal competence and social…
Descriptors: Validity, Emotional Intelligence, Elementary School Students, Interpersonal Competence
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