Results 61 to 70 of about 2,419,527 (287)
KEMAMPUAN REPRESENTASI MATEMATIS DAN KEMAMPUAN PEMBUKTIAN MATEMATIKA
In mathematics, there are some mathematical ability to be possessed by learners and educators. Among them is a mathematical representation capability and the ability of mathematical proofs.
Fatrima Santri Syafri
doaj +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Proof in dynamic geometry contexts
Proof lies at the heart of mathematics yet we know from research in mathematics education that proof is an elusive concept for many mathematics students.
Hoyles, Celia, Jones, Keith
core +1 more source
The Influence of Learning Independence, Gender, and Mathematical Beliefs on Mathematical Proof
This research aims to determine the influence of learning independence, gender, and mathematical beliefs on mathematical proof. This research uses a survey method with correlational analysis.
Wahyu Yuliana, Mohamad Waluyo
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Kemampuan Pembuktian Matematis Mahasiswa Menggunakan Induksi Matematika
Kemampuan mahasiswa dalam melakukan pembuktian matematis tidak sama bergantung dari kategori kognitifnya. Salah satu metode pembuktian matematika adalah induksi matematika yang memerlukan pemahaman konsep secara sistematis. Tujuan penelitian adalah untuk
Siska Firmasari, Herri Sulaiman
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Exploration of Student Thinking Process in Proving Mathematical Statements
A mathematical statement is not a theorem until it has been carefully derived from previously proven axioms, definitions and theorems. The proof of a theorem is a logical argument that is given deductively and is often interpreted as a justification for ...
Deni Hamdani +4 more
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
The Beauty (?) of Mathematical Proofs
Mathematicians often use aesthetic vocabulary to describe mathematical proofs: they can be beautiful, elegant, ugly, etc. In recent years, philosophers of mathematics have been asking themselves what these descriptions in fact mean: should we take them literally, as tracking truly aesthetic properties of mathematical proofs, or are these terms being ...
openaire +2 more sources
Bridging Biosensing and Hardware‐Level Data Security With a Conjugated Radical Polymer
A conjugated radical polymer provides two complementary functions within a common material platform: sensitive dopamine biosensing and device‐specific stochastic electrical responses for security. The work demonstrates a materials‐based approach for combining bioelectronic signal acquisition with hardware‐level authentication while maintaining the ...
Hoyeon Lee +9 more
wiley +1 more source

