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
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
Literacy: Buzz Word on the Back Burner [PDF]
This paper is reviews 12 published articles written on the importance of literacy in mathematics and the best practices to utilize inside the math classroom. The paper focuses on the definition of literacy of Orr, Kukner, and Timmons (2014), a definition
Murphy, Kieran
core +1 more source
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +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
Mathematics teachers learning with video: the role, for the didactician, of a heightened listening [PDF]
This article addresses two main questions, how do mathematics teachers learn from using video? and, what is the role of the didactician? A common problem is reported in the difficulty of keeping teacher discussion of video away from judgment and ...
Coles, Alf T
core +2 more sources
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
Eye tracking technology on children's mathematical education: systematic review
Mathematical word problems are widely recognized as essential tools for assessing the practical application of mathematical knowledge among students. This study endeavors to ascertain the extent to which elementary school students' problem-solving skills
Asta Paskovske, Irina Kliziene
doaj +1 more source
Exercises to determine the types of errors made in the solving of verbal problems in Algebra I. [PDF]
Thesis (Ed.M.)--Boston ...
Tenney, Arthur C.
core +1 more source

