Results 41 to 50 of about 54,806 (266)
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian+12 more
wiley +1 more source
Drawing a Scientific Map and Analyzing the Co-occurrence Network of Master's Dissertations and Doctoral Theses in Mathematics Education at Iranian Universities [PDF]
Purpose: Studying the scientific research output of universities to identify researchers' interests and potential challenges for future research is considered a crucial endeavor.
Vahideh Soleymani Rad+3 more
doaj +1 more source
In this meta-analysis of single-case designs, the researchers investigated the effects of word-problem instruction for students with learning disabilities in Grades 1 through 12, as reported in 20 peer-reviewed articles published between 1975 and 2020. A
Mikyung Shin+5 more
semanticscholar +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
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
Impact of Order of Data in Word Problems on Division of a Whole into Unequal Parts
The paper investigates how the order of numerical data in word problems on division of a whole into unequal parts affects achievement and reasoning of 14-16-year old pupils.
Jarmila Novotná, Martin Chvál
doaj +1 more source
Examining the potential and pitfalls of AI in problem solving [PDF]
The integration of artificial intelligence (AI) into mathematical problem-solving has shown significant potential to enhance student learning and performance.
Yasin Memiş
doaj +1 more source
The study explored the direct relationship between active learning heuristic problem-solving approach and students’ attitude towards mathematics, using linear programming (LP) word tasks.
Robert Wakhata+2 more
semanticscholar +1 more source
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen+4 more
wiley +1 more source
An analysis of challenges in the teaching of problem solving in Grade 10 mathematics
The paper focuses on challenges in the teaching of problem-solving in Grade 10 Mathematics, which may emanate from ignoring the background environment of the child (Graven & Schafer, 2013:4).
Tshele J Moloi
doaj +1 more source
Posing purposeful questions is one of the most effective teaching practices (NCTM in Principles to actions: Ensuring mathematics success for all. National Council of Teachers of Mathematics, 2014).
Yi-Jung Lee
semanticscholar +1 more source