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Anna Krason; Erica L. Middleton; Matthew E. P. Ambrogi; Malathi Thothathiri – Journal of Speech, Language, and Hearing Research, 2024
Purpose: This study investigated conflict adaptation in aphasia, specifically whether upregulating cognitive control improves sentence comprehension. Method: Four individuals with mild aphasia completed four eye tracking sessions with interleaved auditory Stroop and sentence-to-picture matching trials (critical and filler sentences). Auditory…
Descriptors: Adults, Aphasia, Adaptive Testing, Sentences
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Marta Wójcik; Joanna Beck; Katarzyna Chyl; Agnieszka Dynak; Gabriela Dziegiel-Fivet; Magdalena Luniewska; Anna Grabowska; Katarzyna Jednoróg; Agnieszka Debska – Language Learning, 2024
What is the relationship between literacy skills and implicit learning? To address previous mixed findings, we compared school-aged readers, typical (CON, n = 54) and with dyslexia (DYS, n = 53), in relation to their performance on a serial reaction time task. For the first time, we also included an isolated spelling deficit group (ISD, n = 30) to…
Descriptors: Students with Disabilities, Dyslexia, Literacy, Learning
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Tang, Xiaowei; Shu, Gang; Wei, Bing; Levin, Daniel – Science Education, 2024
Students often learn about measurement uncertainty as an isolated topic, with a focus on generalizable strategies to manage uncertainty in scientific investigation. In this study, we report and analyze a case of emergent learning about measurement and uncertainty, in which students in a Chinese elementary school science class explored and…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Science, Science Process Skills
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Thanyasinee Laosum – Asian Association of Open Universities Journal, 2024
Purpose: This study aims to develop a model for readiness measurement and to study readiness levels for online testing of undergraduate students in Thailand's distance education programs. Design/methodology/approach: In total, 870 undergraduate students enrolled in the 2022 academic year of a Thai university were sampled for the study. The samples…
Descriptors: Foreign Countries, Readiness, Undergraduate Students, Computer Assisted Testing
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Yusha Lv; Xiaoli Wang; Xuemei Zhang; Juan Li – PRIMUS, 2024
This paper first analyzed the shortcomings of the summative final exam methods which focuses only on final exams. Then, we showed the specific implementation of the quantitative formative assessment which includes objective results and subjective scores. Objective results include the traditional written chapter test score, online mid-term and…
Descriptors: Mathematics Tests, Formative Evaluation, Scores, Student Evaluation
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Luisa Avram; Mugur Daniel Ciumageanu; Florin Alin Sava – SAGE Open, 2024
Currently, self-report measures are the primary assessment tool for anxiety disorders. Since they have some limitations, alternative measurements, such as language-based measures, are worth investigating. This paper explores which language markers signal anxiety in fictitious stories written in response to four Thematic Apperception Test (TAT)…
Descriptors: Written Language, Anxiety Disorders, Measures (Individuals), Literary Genres
Beatriz Campana – ProQuest LLC, 2024
Throughout the years, United States education reform has sought to target the most disadvantaged students. Nonetheless, during this same period, proficiency rate disparities seem to have emerged among student subgroups. This study was designed to find ways for school districts to begin closing the achievement gaps between student subgroups,…
Descriptors: Academic Achievement, Achievement Gap, English Language Learners, Standardized Tests
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Yavuz Akbulut – European Journal of Education, 2024
The testing effect refers to the gains in learning and retention that result from taking practice tests before the final test. Understanding the conditions under which practice tests improve learning is crucial, so four experiments were conducted with a total of 438 undergraduate students in Turkey. In the first study, students who took graded…
Descriptors: Foreign Countries, Undergraduate Students, Student Evaluation, Testing
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Philip M. Newton; Keioni Essex – Journal of Academic Ethics, 2024
Academic misconduct is a threat to the validity and reliability of online examinations, and media reports suggest that misconduct spiked dramatically in higher education during the emergency shift to online exams caused by the COVID-19 pandemic. This study reviewed survey research to determine how common it is for university students to admit…
Descriptors: Cheating, Tests, Electronic Learning, COVID-19
Tom Benton – Research Matters, 2024
Educational assessment is used throughout the world for a range of different formative and summative purposes. Wherever an assessment is developed, whether by a teacher creating a quiz for their class, or by a testing company creating a high stakes assessment, it is necessary to decide how long the test should be. Specifically, how many questions…
Descriptors: Foreign Countries, High Stakes Tests, Test Length, Test Construction
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Qutaiba I. Ali – Discover Education, 2024
This paper contributes to the ongoing efforts aimed at enhancing Outcome-Based Education (OBE) assessment methodologies by addressing some critical gaps and exploring new solutions. Our work focuses on two main areas: firstly, this study proposes an improved assessment method for OBE. It refines traditional approaches by classifying course…
Descriptors: Outcome Based Education, Evaluation Methods, Student Evaluation, Artificial Intelligence
Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
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Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
Florida Department of Education, 2022
All Florida schools teach the Florida Standards in English Language Arts (ELA) and Mathematics and the Next Generation Sunshine State Standards (NGSSS) in Science and Social Studies. Student performance provides important information to parents/guardians, teachers, policy makers, and the general public regarding how well students are learning.…
Descriptors: Educational Assessment, State Standards, Language Arts, Mathematics
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Jeffrey P. Walters; Kayt Frisch; Ken Yasuhara; Jessica Kaminsky – Journal of Civil Engineering Education, 2025
Framing engineering problems in a humanitarian engineering (HE) context has been shown to have a significant impact on students' learning, particularly how they understand and articulate sociotechnical design considerations. However, no studies explicitly compared differences in sociotechnical thinking for different forms of engineering context.…
Descriptors: Foreign Countries, Engineering Education, Drafting, Social Values
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