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Addison L. Welch; Christopher H. Skinner; Hannah L. Collins; Mitchell R. Chutna; Cate Smith; David Cihak; Brian Wilhoit – Psychology in the Schools, 2025
An experimental design was used to evaluate the effects of a classroom-based purchasing skills intervention designed to teach postsecondary students with intellectual and developmental disabilities the one-dollar-more purchasing strategy. The experimental group students (n = 12) completed the intervention first,and the control group participants…
Descriptors: Skill Development, Purchasing, Postsecondary Education, Students with Disabilities
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Weiqing Shi; Xin Jiang – Reading and Writing: An Interdisciplinary Journal, 2025
This study explores the effectiveness of machine learning and eye movement features in predicting Chinese reading proficiency. Unlike previous research, which focused on one or two specific levels of eye movement features, this study integrates passage-, sentence- and word-level eye movement features to predict reading proficiency. By analyzing…
Descriptors: Foreign Countries, Undergraduate Students, Predictor Variables, Reading Achievement
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Harish Moni Prakash; Andrew F. Heckler – Physical Review Physics Education Research, 2025
Accuracy on assessments is commonly studied in education research but response time (RT) is relatively less investigated even though decades of research in cognitive sciences indicate that time can be an important dimension for understanding student learning. To better understand RT and the potentially important relations between accuracy and RT…
Descriptors: Reaction Time, Accuracy, Physics, Science Education
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Sirinda Palahan – IEEE Transactions on Learning Technologies, 2025
The rise of online programming education has necessitated more effective personalized interactions, a gap that PythonPal aims to fill through its innovative learning system integrated with a chatbot. This research delves into PythonPal's potential to enhance the online learning experience, especially in contexts with high student-to-teacher ratios…
Descriptors: Programming, Computer Science Education, Artificial Intelligence, Computer Mediated Communication
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Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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Marc F. Maffei; Karen V. Chenausky; Helen Tager-Flusberg; Jordan R. Green – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Despite known motor and spoken language impairments in autism spectrum disorder (ASD), the motor skills underlying speech production and their relationship with language skills have rarely been directly investigated in this population. Method: Thirty-nine autistic children (14 minimally verbal [MV], 25 verbal [V]) and 11 non-autistic…
Descriptors: Acoustics, Speech, Psychomotor Skills, Performance
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Yang Dong; Jianhong Mo; Hang Dong; Hao-Yuan Zheng; Mingmin Zhang – Reading and Writing: An Interdisciplinary Journal, 2025
Children's word problem competence is a major determinant of their career prospects. Abstract word (AW) comprehension and equal sign knowledge (ESK) are considered the foundation of discourse comprehension and pre-algebra skills, respectively. However, the link between AW and ESK in relation to the meaningful agent representative information…
Descriptors: Reading Comprehension, Sentences, Elementary School Students, Grade 1
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Hung Tan Ha; Duyen Thi Bich Nguyen; Stuart McLean; Joshua Matthews – Reading in a Foreign Language, 2025
Ensuring classroom reading materials align with learners' lexical knowledge is crucial, often requiring teachers to infer vocabulary knowledge from vocabulary test performance. However, the best approach to match learners with lexically appropriate texts based on vocabulary test scores remains unclear. This study compared two methods:…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Second Language Instruction
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Ali Sartaz Khan; Tolulope Ogunremi; Ahmed Attia; Dorottya Demszky – International Educational Data Mining Society, 2025
Speaker diarization, the process of identifying "who spoke when" in audio recordings, is essential for understanding classroom dynamics. However, classroom settings present distinct challenges, including poor recording quality, high levels of background noise, overlapping speech, and the difficulty of accurately capturing children's…
Descriptors: Audio Equipment, Acoustics, Classroom Environment, Models
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Tetyana Bidna – TESL Canada Journal, 2025
This article explores the meaning, form, and pronunciation of narrative tenses for intermediate English language learners, addresses common learner issues, and proposes solutions through a combination of literature review and classroom-based activities. Challenges include differentiating between tenses, correct usage, and pronunciation of past…
Descriptors: Morphemes, Grammar, English (Second Language), Second Language Learning
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Tamara Mae Roose; Lana Salar Qadir – TESL Canada Journal, 2025
Most EFL classrooms focus on building students' grammatical accuracy by learning rules and demonstrating mastery of form through exam-oriented assessments, rather than building fluency in the language by applying grammar in communication to make meaning. Moreover, grammar instruction is often rooted in materials that lack relevance to students'…
Descriptors: Cultural Awareness, Second Language Learning, Second Language Instruction, Visual Aids
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Min Jou; Tzu-Hsuan Kuo; Yu-Chun Chiang; Yungwei Hao; Chun-Chiang Huang – Turkish Online Journal of Educational Technology - TOJET, 2025
This study investigates how generative AI technologies influence pre-service teachers' pedagogical thinking and instructional design practices within a vocational education context. Drawing on a qualitative framework, the research engaged students in a task-based learning environment that integrated tools such as ChatGPT and image generators into…
Descriptors: Artificial Intelligence, Preservice Teacher Education, Preservice Teachers, Pedagogical Content Knowledge
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Min Jou; Tzu-Hsuan Kuo; Yu-Chun Chiang; Yungwei Hao; Chun-Chiang Huang – Turkish Online Journal of Educational Technology - TOJET, 2025
This study investigates how generative AI technologies influence pre-service teachers' pedagogical thinking and instructional design practices within a vocational education context. Drawing on a qualitative framework, the research engaged students in a task-based learning environment that integrated tools such as ChatGPT and image generators into…
Descriptors: Artificial Intelligence, Preservice Teacher Education, Preservice Teachers, Pedagogical Content Knowledge
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Hsiaomei Tsai; Kathleen A. J. Mohr – Journal of Second Language Acquisition and Teaching, 2025
The reported study highlights the importance of an L2 curriculum integrating authentic linguistic and cultural input to promote learners' linguistic, communicative, and cultural competencies. Through content analysis, the researchers evaluated the linguistic and cultural authenticity of the Grades K-6 "Mandarin Matrix Curriculum"…
Descriptors: Mandarin Chinese, Second Language Learning, Textbook Evaluation, Content Analysis
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Michael Russell – National Education Policy Center, 2025
The role of test scores in college admissions is widely debated. In their absence, GPA is the primary indicator of readiness, though it depends on course difficulty. An Annenberg Institute report introduces "Transcript Strength," a new measure adjusting GPA based on course rigor. Using Item Response Theory's partial credit model, it…
Descriptors: High School Students, Course Selection (Students), Academic Records, Item Response Theory
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