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Yuxin Hao; Xun Duan; Sicong Zha; Tingting Xu – Journal of Psycholinguistic Research, 2024
In the past, research on the cognitive neural mechanism of second language (L2) learners' processing time information has focused on Indo-European languages. It has also focused on the temporal category expressed by morphological changes. However, there has been a lack of research on L2 learners' various time coding means, especially for Mandarin,…
Descriptors: Second Language Learning, Mandarin Chinese, Morphemes, Time
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Rebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
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Jonas Videbaek Jørgensen – Evidence & Policy: A Journal of Research, Debate and Practice, 2024
Background: Understanding knowledge utilisation in policymaking is a core task for the social and political sciences. However, limitations and biases abound in commonplace approaches to measuring such use. Consequently, we have little systematic evidence of the extent to which knowledge sources are used in policy decisions. Aims and objectives:…
Descriptors: Research Utilization, Policy Formation, Measurement, Content Analysis
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Alexandra L. Bey; Maura Sabatos-DeVito; Kimberly L. H. Carpenter; Lauren Franz; Jill Howard; Saritha Vermeer; Ryan Simmons; Jesse D. Troy; Geraldine Dawson – Journal of Autism and Developmental Disorders, 2024
Objective, quantitative measures of caregiver-child interaction during play are needed to complement caregiver or examiner ratings for clinical assessment and tracking intervention responses. In this exploratory study, we examined the feasibility of using automated video tracking, Noldus EthoVision XT, to measure 159 2-to-7-year-old autistic…
Descriptors: Autism Spectrum Disorders, Caregiver Child Relationship, Interaction, Video Technology
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Tugba Abanoz; Filiz Kalelioglu – European Early Childhood Education Research Journal, 2025
In the digital age, it's crucial to equip children with twenty-first-century skills, including programming and other competencies such as creativity, analytical thinking, and collaboration. This study introduces an integrated STEM (Science, Technology, Engineering, and Mathematics) curriculum focused on computer science for educators. It explores…
Descriptors: Foreign Countries, Early Childhood Education, Preschool Children, STEM Education
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Jiang, Haozhe; Chugh, Ritesh; Turnbull, Darren; Wang, Xiaoqin; Chen, Suting – Education and Information Technologies, 2023
The problem motivating this study is the urgent need to explore the antecedents of STEM career interest and the growing importance of coding in STEM careers, coupled with the unclear relationship between intrinsic coding interest and STEM career interest. To narrow the research gap, this study explores the direct and indirect effects of intrinsic…
Descriptors: Foreign Countries, High School Students, Student Interests, Coding
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Gough, Phillip; Bown, Oliver; Campbell, Craig R.; Poronnik, Philip; Ross, Pauline M. – Biochemistry and Molecular Biology Education, 2023
Biomedical science students need to learn to code. Graduates face a future where they will be better prepared for research higher degrees and the workforce if they can code. Embedding coding in a biomedical curriculum comes with challenges. First, biomedical science students often experience anxiety learning quantitative and computational thinking…
Descriptors: Biomedicine, Coding, Skill Development, Student Attitudes
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Price, Colin B.; Price-Mohr, Ruth – Education 3-13, 2023
This study investigates computer programming ('coding') activities of Primary School Children; we ask if there is evidence of gender differences in their coding activities. The research took place in an English urban school with around 180 children on role, mostly from a middle-class social background. The study involved a class of 17 boys and 15…
Descriptors: Gender Differences, Elementary School Students, Programming, Urban Schools
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Steven Floyd – Canadian Journal of Science, Mathematics and Technology Education, 2023
In this article, the relatively new phenomenon of integrating coding and computer science (CS) related concepts and skills into the K-8 grades is analysed through a comparative analysis of related provincial curriculum initiatives in Canada. First, provincial K-8 curricula that include coding and CS related concepts and skills are identified, as…
Descriptors: Foreign Countries, Elementary Schools, Middle Schools, Coding
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Anna Bloodworth; AnnaMarie Conner; Claire Miller; Lorraine Franco; Timothy Foutz; Roger B. Hill – Journal of Technology Education, 2023
Drawing on research in mathematics and science education that has supported student higher-level thinking in K-12 classrooms, we sought to classify the ways of thinking and reasoning supported by robotics coding tasks. As part of a larger project, we examined coding tasks implemented in elementary school classrooms and analyzed ways of thinking…
Descriptors: Elementary Education, Robotics, Coding, Logical Thinking
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Tunahan Yilmaz; Serkan Izmirli – Journal of Educational Technology and Online Learning, 2023
The objective of this research was to investigate the influence of both unplugged and plugged coding activities on the computational thinking skills of secondary school students. Using an experimental design with a pretest-posttest control group, the study indicated that students enhanced their computational thinking skills through engagement in…
Descriptors: Coding, Computation, Thinking Skills, Computer Software
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Skulmowski, Alexander – Education and Information Technologies, 2022
Digital learning increasingly makes use of realistic visualizations, although realism can be demanding for learners. Color coding is a popular way of helping learners understand visualizations and has been found to aid in learning with detailed visualizations. However, previous research has shown that color coding must not always be an effective…
Descriptors: Color, Coding, Visualization, Electronic Learning
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McLoughlin, Shane; Tyndall, Ian; Pereira, Antonina – Journal of Behavioral Education, 2022
In recent years, small-scale studies have suggested that we may be able to substantially strengthen children's general cognitive abilities and intelligence quotient (IQ) scores using a relational operant skills training program (SMART). Only one of these studies to date has included an active Control Condition, and that study reported the smallest…
Descriptors: Cognitive Ability, Intelligence Quotient, Early Adolescents, Programming
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Jahnke, Maximilian; Höppner, Frank – International Educational Data Mining Society, 2022
The value of an instructor is that she exactly recognizes what the learner is struggling with and provides constructive feedback straight to the point. This work aims at a step towards this type of feedback in the context of an introductory programming course, where students perform program execution tracing to align their understanding of Java…
Descriptors: Programming, Coding, Computer Science Education, Error Patterns
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Poole, Frederick J.; Clarke-Midura, Jody; Rasmussen, Melissa; Shehzad, Umar; Lee, Victor R. – Computer Science Education, 2022
There is a growing perception that computational thinking can be developed in unplugged environments. A recent trend among these unplugged approaches is the use of tabletop games. While there are many commercial tabletop games on the market that are promoted as teaching computer science and/or computational skills, little is known about how these…
Descriptors: Teaching Methods, Games, Computation, Thinking Skills
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