Results 51 to 60 of about 421,589 (304)
Mathematical knowledge for teaching in Africa 2014–2021: A review of literature
African Journal of Teacher Education and Development, 2022 Background: A previous review of literature on mathematical knowledge for teaching in Africa indicated that most studies were small, qualitative studies that did not apply existing measures.
Reidar Mosvold
doaj +1 more source
Advanced Science, EarlyView.Time‐varying electric fields can activate solid‐state devices such as LEDs and capacitors for energy harvesting and powering in open circuits. The response of solid‐state devices to time‐varying electric fields caused by vibrations can be utilised for smart sensing of human motions and object vibrations.
Renyun Zhang +6 more
wiley +1 more source
AI in chemical engineering: From promise to practice
AIChE Journal, EarlyView.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Dialogic Pedagogy, 2014 The accepted framing of mathematics pedagogical content knowledge (PCK) as part of mathematical knowledge for teaching has centered on the question: What mathematical reasoning, insight, understanding, and skills are required for a person to teach ...
Shandy Hauk +4 more
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Teacher’s advanced mathematical knowledge for solving mathematics teaching challenges: a response to Zazkis and Mamolo [PDF]
, 2011 Like Zazkis and Mamolo (2011), we uphold the premise that a solid knowledge of advanced mathematics is needed for effective teaching of mathematics. With that in mind, we are interested in discussing the nature of horizon content knowledge, as used ...
Carrillo, José +4 more
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Advanced Intelligent Discovery, EarlyView.Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
Mathematics, 2021 The mathematical knowledge for teaching (MKT) model emerged from the advances proposed by Shulman in 1986 and 1987 as part of the teacher’s professional knowledge model, and refers to the mathematical knowledge that the teacher employs to carry out the ...
Nataly Pincheira, Ángel Alsina
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Training mathematical skills in school children: Some preliminary results. [PDF]
, 2019 The present study is a further development of an earlier research on school failure. The aim is to develop sound, simple, effective evaluation and training procedures for children with difficulties to learn mathematics.
Galindo, Edgar
core
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Teaching multiplication and division realistically in Indonesian primary schools : a prototype of local instructional theory [PDF]
, 2002 The implementation of the 1994 mathematics curriculum in Indonesian primary\ud schools is focusing on the teaching and learning arithmetic. The goals are to prepare\ud the students to use and apply their mathematics knowledge and mathematical way\ud of ...
Armanto, Dian
core +2 more sources