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Mengxi Zhou; Selena Steinberg; Christina Stiso; Joshua A. Danish; Kalani Craig – Information and Learning Sciences, 2024
Purpose: This study aims to explore how network visualization provides opportunities for learners to explore data literacy concepts using locally and personally relevant data. Design/methodology/approach: The researchers designed six locally relevant network visualization activities to support students' data reasoning practices toward…
Descriptors: Elementary School Students, Data, Literacy, Visual Aids
Yunus Emre Avcu; Yavuz Yaman – Journal of Inquiry Based Activities, 2024
A differentiated science activity was created for gifted students. The focus is on Sustainable Development Goal 15 (SDG-15) for life on land, enhancing engagement, self-regulated learning skills, and scientific creativity in gifted students. The activity spanned eight lesson hours, with tasks encouraging observation, inquiry, and creative…
Descriptors: Gifted, Individualized Instruction, Science Instruction, Computer Simulation
Cheng-Ji Lai – Asian-Pacific Journal of Second and Foreign Language Education, 2024
Content and Language Integrated Learning (CLIL) is increasingly adopted globally, including in Taiwan's educational initiatives, yet challenges remain in implementing effective CLIL practices, such as pedagogy and curriculum design. This study investigated the effectiveness of multimodal task designs, combining hands-on learning with poster…
Descriptors: Learning Modalities, Oral Communication Method, Grade 4, Integrated Curriculum
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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