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Showing 1 to 15 of 109 results Save | Export
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Oudeng Jia; Qingsong Tan; Sihan Zhang; Ke Jia; Mengyuan Gong – npj Science of Learning, 2025
Reward-predictive items capture attention even when task-irrelevant. While value-driven attention typically generalizes to stimuli sharing critical reward-associated features (e.g., red), recent evidence suggests an alternative generalization mechanism based on feature relationships (e.g., redder). Here, we investigated whether relational coding…
Descriptors: Attention, Rewards, Interference (Learning), Coding
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Zack J. Damon; Michael E. Ellis – Sport Management Education Journal, 2025
Sport analytics remains a growing area in the sport industry. As such, the demand for skills and knowledge in this area has grown. This demand includes off-field data, such as marketing trends, as well as financial data related to sport organizations. There has been a trickle-down effect in sport management (and other) education programs to teach…
Descriptors: Athletics, Data Collection, Data Analysis, Coding
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Joseph Tobin – International Journal of Qualitative Studies in Education (QSE), 2025
Post qualitative inquiry has called for method-less research and warned against the incommensurability of the use of systematic research methods with poststructural and new materialist theories. This essay offers a counterpoint to the incommensurability argument by presenting four examples of studies informed by poststructural and new materialist…
Descriptors: Qualitative Research, Research Methodology, Educational Theories, Interviews
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Leah Bidlake; Eric Aubanel; Daniel Voyer – ACM Transactions on Computing Education, 2025
Research on mental model representations developed by programmers during parallel program comprehension is important for informing and advancing teaching methods including model-based learning and visualizations. The goals of the research presented here were to determine: how the mental models of programmers change and develop as they learn…
Descriptors: Schemata (Cognition), Programming, Computer Science Education, Coding
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Muntasir Hoq; Ananya Rao; Reisha Jaishankar; Krish Piryani; Nithya Janapati; Jessica Vandenberg; Bradford Mott; Narges Norouzi; James Lester; Bita Akram – International Educational Data Mining Society, 2025
In Computer Science (CS) education, understanding factors contributing to students' programming difficulties is crucial for effective learning support. By identifying specific issues students face, educators can provide targeted assistance to help them overcome obstacles and improve learning outcomes. While identifying sources of struggle, such as…
Descriptors: Computer Science Education, Programming, Misconceptions, Error Patterns
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Nicole S. Fenty; Leyli Nouraei Yeganeh; Vanessa D. Uhteg – Reading Teacher, 2025
Employment in science, technology, engineering, and mathematics (STEM) fields will continue to grow in the coming years. Those entering the STEM workforce will be expected to demonstrate proficiency in areas such as literacy and problem solving, among other domains. Early access to STEM concepts such as coding may support skill development and…
Descriptors: STEM Education, Coding, Literacy Education, Preschool Children
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Ainhoa Berciano; Astrid Cuida; María-Luisa Novo – Education and Information Technologies, 2025
In the last two decades, computational thinking has gained wide relevance in international educational systems. The inclusion of this new type of thinking poses educational challenges with some underlying research questions that need to be answered to meet these challenges with quality. Thus, this study focuses on analyzing the difficulties that…
Descriptors: Coding, Translation, Programming Languages, Sequential Approach
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Xi Song; Xiang Zhou – Sociological Methods & Research, 2025
Social mobility scholars have long been interested in estimating the effect of intergenerational mobility, typically measured by differences in the socioeconomic status between parents and offspring, on later-life outcomes of offspring. In a 2022 article "Heterogeneous Effects of Intergenerational Social Mobility: An Improved Method and New…
Descriptors: Social Mobility, Socioeconomic Status, Differences, Models
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Mehmet Basaran; Ömer Faruk Vural; Sermin Metin; Sabiha Tamur – International Journal of Early Childhood, 2025
This study investigates ChatGPT's perspectives on coding education for preschool children to provide a comprehensive understanding that is valuable for educators in early childhood education. An instrumental case study approach was employed, utilizing qualitative research design and case study methods. Data were gathered using a structured…
Descriptors: Preschool Education, Computer Science Education, Coding, Artificial Intelligence
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Aimei Yang – Journalism and Mass Communication Educator, 2025
At the forefront of industries profoundly influenced by artificial intelligence (AI), public relations (PRs) are undergoing a transformative revolution. The increasing applications of AI in PRs are driving a demand for proficient practitioners. Recognizing this, PR educational institutions must adapt by delivering tailored AI education. Despite…
Descriptors: Artificial Intelligence, Public Relations, Programming, Coding
Diana Franklin; Paul Denny; David A. Gonzalez-Maldonado; Minh Tran – Cambridge University Press & Assessment, 2025
Generative AI is a disruptive technology that has the potential to transform many aspects of how computer science is taught. Like previous innovations such as high-level programming languages and block-based programming languages, generative AI lowers the technical expertise necessary to create working programs, bringing the power of computation…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Science Education, Expertise
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Daniel Walzer – Journal of General Music Education, 2025
The global popularity of video games offers valuable opportunities for music educators to enhance student learning through projects focused on creating music and sound elements for gameplay videos and coding projects. By utilizing affordable and accessible software such as digital audio workstations, portable recorders, and computer technologies,…
Descriptors: Music Education, Music Teachers, Music, Musical Composition
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Karen M. Lionello-DeNolf; David Eckerman; Rebecca Hise; Elizabeth Pinzino; Roger Ray – Journal of Applied Behavior Analysis, 2025
Procedural fidelity is an important component of behavioral intervention programs. The "Train-to-Code" software was used to teach skilled observation of implementation of three types of discrete-trial programs, and improvement to procedural fidelity was assessed. Participants completed a training package that involved coding video…
Descriptors: Fidelity, Computer Assisted Instruction, Applied Behavior Analysis, Behavior Modification
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Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
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Jason Jabbari; Yung Chun; Wenrui Huang; Stephen Roll – Educational Evaluation and Policy Analysis, 2025
We conduct an impact analysis on a unique technology certificate and apprenticeship program offered by LaunchCode. We merge administrative data containing entrance exam scores with survey data for individuals that were (a) not accepted, (b) accepted but did not complete the course, (c) completed the course but not the apprenticeship, and (d)…
Descriptors: Outcomes of Education, STEM Education, Apprenticeships, Social Mobility
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