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Jean Philippe Décieux – Sociological Methods & Research, 2024
The risk of multitasking is high in online surveys. However, knowledge on the effects of multitasking on answer quality is sparse and based on suboptimal approaches. Research reports inconclusive results concerning the consequences of multitasking on task performance. However, studies suggest that especially sequential-multitasking activities are…
Descriptors: Online Surveys, Time Management, Handheld Devices, Learning Activities
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Yong-Woon Choi; In-gyu Go; Yeong-Jae Gil – International Journal of Technology and Design Education, 2024
The purpose of this study is to derive a correlation between the technological thinking disposition and the computational thinking ability of gifted students in Korea. The correlation between each element was analyzed by looking at the sub-elements of computational thinking according to the components of technological thinking disposition. The…
Descriptors: Thinking Skills, Mental Computation, Gifted, Correlation
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William Reid Carlisle; Hyunyi Jung; Megan H. Wickstrom; Kayla Sutcliffe; Hee-jeong Kim – International Journal of Science and Mathematics Education, 2025
Although culturally responsive mathematics teaching is important, post-secondary education for preservice teachers (PTs) does not typically lead to learning opportunities for them to use mathematics to recognize the roles of social agents. To address this issue, we created a culturally responsive mathematical modeling task in which we invited PTs…
Descriptors: Mathematical Models, Culturally Relevant Education, Mathematics Education, Preservice Teacher Education
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Xavier Ochoa; Xiaomeng Huang; Yuli Shao – Journal of Learning Analytics, 2025
Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…
Descriptors: Learning Analytics, Artificial Intelligence, Computer Software, Scores
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Hsin-Yi Chang; Yen-Jung Chang; Meng-Jung Tsai – International Journal of STEM Education, 2024
Background: Data visualizations transform data into visual representations such as graphs, diagrams, charts and so forth, and enable inquiries and decision-making in many professional fields, as well as in public and economic areas. How students' data visualization literacy (DVL), including constructing, comprehending, and utilizing adequate data…
Descriptors: Data Analysis, Visual Aids, Task Analysis, Decision Making
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Cristina Portalés; Javier Sevilla; Pablo Casanova-Salas; Mar Gaitán; Sergio Casas – Journal of Geography in Higher Education, 2025
Data visualization is a complex matter and so is teaching it in the context of engineering and data science. Even more challenging is teaching in a midst of once in a century pandemic. In this paper, we show the results of a workshop conducted with second-year students on a university degree in data science, which took place in the context of…
Descriptors: Blended Learning, Geography Instruction, Learning Processes, Workshops
Emit Snake-Beings; Andrew Gibbons; Ricardo Sosa – Teaching and Learning Research Initiative, 2024
This study explores learner engagement with Advanced Computational Thinking (ACT) in the New Zealand digital curriculum. "Advanced" in ACT refers to an expansive, transdisciplinary, and future-looking understanding of computational thinking (CT). ACT promotes CT beyond narrow modes of problem-solving (abstraction, algorithmic thinking,…
Descriptors: Computation, Thinking Skills, Shared Resources and Services, Learner Engagement