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Peter Curtis; Brett Moffett; David A. Martin – Australian Primary Mathematics Classroom, 2024
In this article, the authors explore how the 3C Model can be used to integrate other curriculum areas with mathematics, namely digital technologies. To illustrate the model, they provide a practical example of a teaching sequence. T he 3C Model is designed to create opportunities for applying reasoning and problem-solving skills and learning…
Descriptors: Models, Computer Software, Problem Solving, Mathematics Instruction
Sung, Euisuk; Kelley, Todd R. – International Journal of Technology and Design Education, 2019
Design is a key element of both the teaching and learning of engineering and technology. However, the process of engineering design has yielded limited research results. This study explored the iterative design process by searching for sequential design thinking patterns. The researchers collected nine concurrent think-aloud protocols from…
Descriptors: Sequential Approach, Design, Thinking Skills, Engineering Education
Käser, Tanja; Schwartz, Daniel L. – International Educational Data Mining Society, 2019
Open-ended learning environments (OELEs) allow students to freely interact with the content and to discover important principles and concepts of the learning domain on their own. However, only some students possess the necessary skills for efficient and effective exploration. Guidance in the form of targeted interventions or feedback therefore has…
Descriptors: Educational Environment, Interaction, Cluster Grouping, Models
Meikle, Erin M. – Teaching Children Mathematics, 2016
Many teachers are using the Five Practices model to guide them in orchestrating whole-class mathematics discussions that focus on understanding: (1) anticipate an array of possible student-generated solution strategies to a mathematical task before implementing the lesson; (2) monitor students' work as they grapple with the task; (3) select a…
Descriptors: Mathematics Instruction, Teaching Methods, Methods Courses, Elementary School Mathematics
Tretter, Thomas R.; Thornburgh, William R.; Duckwall, Mark – Science and Children, 2016
Supporting elementary student understandings of ideas related to Earth's Place in the Universe (ESS1) can be challenging, especially given the large time and distance scales involved with many of the concepts. However, with effective use of crosscutting concepts and science and engineering practices, important concepts within this content domain…
Descriptors: Astronomy, Space Sciences, Elementary School Students, Scientific Concepts
Hendrix, Rebecca; Eick, Charles – Science and Children, 2014
Sound propagation is not easy for children to understand because of its abstract nature, often best represented by models such as wave drawings and particle dots. Teachers Rebecca Hendrix and Charles Eick wondered how science inquiry, when combined with an unlikely discipline like drama, could produce a better understanding among their…
Descriptors: Creative Activities, Acoustics, Interdisciplinary Approach, Drama
Leithwood, Kenneth; Jantzi, Doris; McElheron-Hopkins, Charryn – School Effectiveness and School Improvement, 2006
This multimethod study generated and tested a "best evidence" model of school improvement processes (SIP) capable of improving student achievement. Initially developed through the review of a comprehensive body of previous empirical research, the model was further refined through a 2, 5-year longitudinal study in 10 schools. A quantitative test of…
Descriptors: Educational Change, Academic Achievement, Multitrait Multimethod Techniques, Convergent Thinking
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