Results 91 to 100 of about 311,562 (267)
Computational thinking is a problem-solving process involving abstraction, algorithmic thinking, automation, debugging, decomposition, and generalisation.
Muhammad Zuhair Zahid
doaj +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Nonequilibrium quantum heat transport between structured environments
We apply the hierarchical equations of motion technique to analyzing nonequilibrium heat transport in a spin-boson type model, whereby heat transfer through a central spin is mediated by an intermediate pair of coupled harmonic oscillators.
Graeme Pleasance, Francesco Petruccione
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College of education students’ perceptions of their computational thinking proficiency
This study aimed to investigate college of education students’ level of computational thinking proficiency and the differences in their level based on their demographic characteristics, i.e., gender, program, and age.
AlMothana Gasaymeh, Reham AlMohtadi
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Exploring core cognitive skills of Computational Thinking [PDF]
Although still innovative and not largely disseminated, Computational Thinking is being considered as a critical skill for students in the 21st century.
Almeida, Leandro S. +3 more
core
Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner +3 more
wiley +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Computational thinking is a crucial skill that facilitates problem-solving for students. Recognizing its importance, the PISA 2021 framework incorporates computational thinking to enhance problem-solving and mathematical reasoning abilities. However, the
Hapizah Hapizah +2 more
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Algebraic thinking of grade 8 students in solving word problems with a spreadsheet [PDF]
This paper describes and discusses the activity of grade 8 students on two word problems, using a spreadsheet. We look at particular uses of the spreadsheet, namely at the students’ representations, as ways of eliciting forms of algebraic thinking ...
Amado, Nélia +3 more
core
Nonexistence of Chaotic Solutions of Nonlinear Differential Equations
We discuss some important issues arising from computational efforts in dynamical systems and fluid dynamics. Various individuals have misunderstood these issues since the onset of these problem areas; indeed, they have been routinely misinterpreted, and ...
Yao, Lun-Shin
core +1 more source

