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In 2025 | 8 |
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Journal Articles | 8 |
Reports - Research | 6 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
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Tahereh Firoozi; Hamid Mohammadi; Mark J. Gierl – Journal of Educational Measurement, 2025
The purpose of this study is to describe and evaluate a multilingual automated essay scoring (AES) system for grading essays in three languages. Two different sentence embedding models were evaluated within the AES system, multilingual BERT (mBERT) and language-agnostic BERT sentence embedding (LaBSE). German, Italian, and Czech essays were…
Descriptors: College Students, Slavic Languages, German, Italian
Nicole Marx; Wolfgang Mann – Journal of Multilingual and Multicultural Development, 2025
Language assessment is a central aspect not only of language education in the general population, but also amongst heterogeneous, low-incidence populations. One such population are immigrant deaf and hard-of-hearing learners (IDML) who are bimodal-multilingual and whose languages development often includes the spoken, written, and/or signed…
Descriptors: Foreign Countries, German, Sign Language, Immigrants
Edward G. J. Stevenson; Jil Molenaar; David-Paul Pertaub; Dessalegn Tekle – Field Methods, 2025
Is it possible to measure wealth and poverty across settings while being faithful to local understandings? The stages of progress method (SoP) attempts to do this by building ladders of wealth in locally relevant terms and using these in comparisons across groups. This approach is potentially useful among pastoralist populations where monetary…
Descriptors: Foreign Countries, Poverty, Social Mobility, Evaluation Methods
Ole J. Kemi – Advances in Physiology Education, 2025
Students are assessed by coursework and/or exams, all of which are marked by assessors (markers). Student and marker performances are then subject to end-of-session board of examiner handling and analysis. This occurs annually and is the basis for evaluating students but also the wider learning and teaching efficiency of an academic institution.…
Descriptors: Undergraduate Students, Evaluation Methods, Evaluation Criteria, Academic Standards
Elizabeth B. Vaughan; Saraswathi Tummuru; Jack Barbera – Chemistry Education Research and Practice, 2025
Students' expectations for their laboratory coursework are theorized to have an impact on their learning experiences and behaviors, such as engagement. Before students' expectations and engagement can be explored in different types of undergraduate chemistry laboratory courses, appropriate measures of these constructs must be identified, and…
Descriptors: Undergraduate Students, Organic Chemistry, Chemistry, Science Instruction
Andrew P. Jaciw – American Journal of Evaluation, 2025
By design, randomized experiments (XPs) rule out bias from confounded selection of participants into conditions. Quasi-experiments (QEs) are often considered second-best because they do not share this benefit. However, when results from XPs are used to generalize causal impacts, the benefit from unconfounded selection into conditions may be offset…
Descriptors: Elementary School Students, Elementary School Teachers, Generalization, Test Bias
Josefina Sala-Roca; Aida Urrea-Monclús; Sara Rodríguez-Pérez – Electronic Journal of Research in Educational Psychology, 2025
Introduction: The Situational Judgment Test of Socioemotional Competence Development in Young People (DCSE-J) is a copyleft psychoeducational instrument for evaluating socioemotional competencies in adolescents. Different studies have analysed its psychometric validity, reliability and criterion validity. The present study aims to analyse…
Descriptors: Foreign Countries, Secondary School Students, College Freshmen, Social Emotional Learning
Bernis Sütçübasi; Tugçe Balli; Herbert Roeyers; Jan R. Wiersema; Sami Çamkerten; Ozan Cem Öztürk; Baris Metin; Edmund Sonuga-Barke – Journal of Attention Disorders, 2025
Objective: ADHD and autism are complex and frequently co-occurring neurodevelopmental conditions with shared etiological and pathophysiological elements. In this paper, we attempt to differentiate these conditions among the young people in terms of intrinsic patterns of brain connectivity revealed during resting state using machine learning…
Descriptors: Elementary School Students, Secondary School Students, Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorders