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Showing all 9 results Save | Export
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Hung Tan Ha; Duyen Thi Bich Nguyen; Tim Stoeckel – Language Assessment Quarterly, 2025
This article compares two methods for detecting local item dependence (LID): residual correlation examination and Rasch testlet modeling (RTM), in a commonly used 3:6 matching format and an extended matching test (EMT) format. The two formats are hypothesized to facilitate different levels of item dependency due to differences in the number of…
Descriptors: Comparative Analysis, Language Tests, Test Items, Item Analysis
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Kiri Mealings; Kelly Miles; Joerg M. Buchholz – International Journal of Listening, 2025
A child's ability to comprehend speech in the mainstream classroom is vital for intellectual and social development. However, listening conditions are often sub-optimal; the presence of multiple talkers, high noise levels, and long reverberation times add to the challenge of listening with a developing auditory system. An assessment that captures…
Descriptors: Elementary School Students, Listening Comprehension Tests, Comparative Analysis, Speech Communication
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Antonio P. Gutierrez de Blume; Diana Marcela Montoya Londoño; Virginia Jiménez Rodríguez; Olivia Morán Núñez; Ariel Cuadro; Lilián Daset; Mauricio Molina Delgado; Claudia García de la Cadena; María Beatríz Beltrán Navarro; Aníbal Puente Ferreras; Sebastián Urquijo; Walter Lizandro Arias – Metacognition and Learning, 2024
Metacognition is defined as a higher-order thinking skill that enables individuals to monitor, control, and regulate their thinking and behavior. In education, this skill is important, as learners need to self-regulate their learning behaviors for successful lifelong learning. Thus, it is essential for educators and learners alike to know their…
Descriptors: Metacognition, Measures (Individuals), Psychometrics, Standards
Kate E. Walton; Cristina Anguiano-Carrasco – ACT, Inc., 2024
Large language models (LLMs), such as ChatGPT, are becoming increasingly prominent. Their use is becoming more and more popular to assist with simple tasks, such as summarizing documents, translating languages, rephrasing sentences, or answering questions. Reports like McKinsey's (Chui, & Yee, 2023) estimate that by implementing LLMs,…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Test Construction
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Karel Kok; Sophia Chroszczinsky; Burkhard Priemer – Physical Review Physics Education Research, 2024
Data comparison problems are used in teaching and science education research that focuses on students' ability to compare datasets and their conceptual understanding of measurement uncertainties. However, the evaluation of students' decisions in these problems can pose a problem: e.g., students making a correct decision for the wrong reasons.…
Descriptors: Secondary School Students, Undergraduate Students, Comparative Analysis, Evaluation Methods
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Reza Shahi; Hamdollah Ravand; Golam Reza Rohani – International Journal of Language Testing, 2025
The current paper intends to exploit the Many Facet Rasch Model to investigate and compare the impact of situations (items) and raters on test takers' performance on the Written Discourse Completion Test (WDCT) and Discourse Self-Assessment Tests (DSAT). In this study, the participants were 110 English as a Foreign Language (EFL) students at…
Descriptors: Comparative Analysis, English (Second Language), Second Language Learning, Second Language Instruction
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Farshad Effatpanah; Purya Baghaei; Mona Tabatabaee-Yazdi; Esmat Babaii – Language Testing, 2025
This study aimed to propose a new method for scoring C-Tests as measures of general language proficiency. In this approach, the unit of analysis is sentences rather than gaps or passages. That is, the gaps correctly reformulated in each sentence were aggregated as sentence score, and then each sentence was entered into the analysis as a polytomous…
Descriptors: Item Response Theory, Language Tests, Test Items, Test Construction
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Amssalu Wondmagegn Getu; Fikadu Edhetu Gashaw; Menberu Mengesha Woldemariam – Shanlax International Journal of Education, 2024
The study aimed to assess the effectiveness of the Predict-Explain-Enact-Observe-Reflect (PEEOR) instructional strategy on general science students' conceptual understanding and motivation in the topic of motion and force. The research employed a pre-test post-test quasi-experimental design. The sample consisted of 107 general science summer, year…
Descriptors: Physics, Science Instruction, Learning Motivation, Reflection
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Jane Batamuliza; Gonzague Habinshuti; Jean Baptiste Nkurunziza – Journal of Technology and Science Education, 2024
This current study presents the effects of interactive computer simulations on students' performance and concept retention in the unit of chemical reactions. Purposive sampling was used to select four schools with a sample population of 320. The Achievement test on chemical reactions was developed, validated, and checked for reliability. The…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Comparative Analysis