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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
Liuying Gong; Jingyuan Chen; Fei Wu – IEEE Transactions on Learning Technologies, 2025
The capabilities of large language models (LLMs) in language comprehension, conversational interaction, and content generation have led to their widespread adoption across various educational stages and contexts. Given the fundamental role of education, concerns are rising about whether LLMs can serve as competent teachers. To address the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Comparative Analysis
Roger Young; Emily Courtney; Alexander Kah; Mariah Wilkerson; Yi-Hsin Chen – Teaching of Psychology, 2025
Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…
Descriptors: Item Response Theory, Multiple Choice Tests, Psychology, Textbooks
Satoru Uchida – Vocabulary Learning and Instruction, 2025
Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…
Descriptors: Vocabulary Development, Language Proficiency, Rating Scales, Guidelines
Tiegan Blackhurst; Lara Warmelink; Amanda Roestorf; Calum Hartley – Autism: The International Journal of Research and Practice, 2025
Deception is a multi-faceted social behaviour that is pervasive in human communication. Due to differences in social communication and experiences, autistic and non-autistic adults may contrast in how they respond to situations that elicit deceptive decision-making. This study examined whether autistic and non-autistic adults differed in their…
Descriptors: Deception, Decision Making, Autism Spectrum Disorders, Task Analysis
Suthathip Thirakunkovit – Language Testing in Asia, 2025
Establishing a cut score is a crucial aspect of the test development process since the selected cut score has the potential to impact students' performance outcomes and shape instructional strategies within the classroom. Therefore, it is vital for those involved in test development to set a cut score that is both fair and justifiable. This cut…
Descriptors: Cutting Scores, Culture Fair Tests, Language Tests, Test Construction
Khaled Aldossary – Educational Process: International Journal, 2025
Background/purpose: This study investigated the short-term and long-term impact of collaborative writing on lower-proficiency English as a foreign language (EFL) students in Saudi Arabia. It investigated whether co-authoring enhanced the writing standard, which areas effectively evolved and how effectively the students retained their writing…
Descriptors: Collaborative Writing, Writing Instruction, English (Second Language), Second Language Learning
Manuel B. Garcia – Education and Information Technologies, 2025
The global shortage of skilled programmers remains a persistent challenge. High dropout rates in introductory programming courses pose a significant obstacle to graduation. Previous studies highlighted learning difficulties in programming students, but their specific weaknesses remained unclear. This gap exists due to the predominant focus on the…
Descriptors: Programming, Introductory Courses, Computer Science Education, Mastery Learning
Matt Giani; Franchesca Lyra; Adam Tyner – Thomas B. Fordham Institute, 2025
While calculus remains the gold standard of academic rigor in most college admissions offices, educators and employers increasingly champion advanced statistics as critical for navigating today's data-driven workforce. So which math pathway actually shapes long-term success? To find out, we asked UT Austin Associate Professor Matt Giani, graduate…
Descriptors: Calculus, Statistics, Mathematics Education, Public Schools