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Louise Badham – Oxford Review of Education, 2025
Different sources of assessment evidence are reviewed during International Baccalaureate (IB) grade awarding to convert marks into grades and ensure fair results for students. Qualitative and quantitative evidence are analysed to determine grade boundaries, with statistical evidence weighed against examiner judgement and teachers' feedback on…
Descriptors: Advanced Placement Programs, Grading, Interrater Reliability, Evaluative Thinking
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Ping-Lin Chuang – Language Testing, 2025
This experimental study explores how source use features impact raters' judgment of argumentation in a second language (L2) integrated writing test. One hundred four experienced and novice raters were recruited to complete a rating task that simulated the scoring assignment of a local English Placement Test (EPT). Sixty written responses were…
Descriptors: Interrater Reliability, Evaluators, Information Sources, Primary Sources
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Wen Xin Zhang; John J. H. Lin; Ying-Shao Hsu – Journal of Computer Assisted Learning, 2025
Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Inquiry, Active Learning
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Yaniv Biton – Educational Process: International Journal, 2025
Background/purpose: This study addresses the challenge of engaging students in meaningful assessment processes within mathematics education, particularly in pre-university preparatory courses. Peer assessment, a growing pedagogical practice, can enhance learning outcomes, promote critical thinking, and improve collaborative skills. However,…
Descriptors: Foreign Countries, Mathematics Education, College Preparation, College Bound Students
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Fatih Yavuz; Özgür Çelik; Gamze Yavas Çelik – British Journal of Educational Technology, 2025
This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics
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Cailing Yan – Education & Training, 2025
Purpose: This research aims to construct an Evaluation Scale for Vocational Education Internships (ESVEI) tailored to assess the vocational educational internship experiences from the perspectives of vocational students. It also seeks to investigate the influence of certain factors -- such as gender, family background, educational attainment,…
Descriptors: Foreign Countries, Career and Technical Education, Undergraduate Students, Internship Programs