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Influence of Magnetohydrodynamics and Viscosity Ratio on Modified Tetra-Hybrid Nanofluid Flow under a Threshold Non-Fourier Heat Flux Framework. [PDF]

Mathematica (N Y)
Mahanthesh SS, Shettar MU, Pérez LM, Miller L, Rodríguez-Ramos R, Penta R.   +5 more
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When Mathematical Learning Experiences Match Self-Efficacy Beliefs: Content Specificity and Cognitive Performance Across 49 Education Systems. [PDF]

J Intell
Liu X.
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Recent developments in chemical reactive flow of CNTs-hybrid nanomaterial with Soret-Dufour effects using Levenberg-Marquardt technique. [PDF]

MethodsX
Abbas M, Bayram M, Jamal NH, Inc M, Abdulakimov G, Shafique M, El-Naggar MA.   +6 more
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Analysis of Student Engagement With AI in Undergraduate Lectures: Protocol for an Implementation Study. [PDF]

JMIR Res Protoc
Ntuli ML, Mpofana N, Paulse M, Mazibuko GN, Govender S.   +4 more
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From Predictors to Mechanisms: Interpretable Artificial Intelligence Evidence on Mathematics Achievement and Cognitive Learning Systems. [PDF]

J Intell
Meng D, Wan ATK.
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Mathematics teaching outcome expectancy, self-handicapping, and mathematics teaching anxiety: a two-wave mediation study. [PDF]

Front Psychol
Uras MC.
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A micro-model of didactical variables to explore the mathematical organization of complex numbers at upper secondary level

, 2017
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Student Quantifications as Meanings for Quantified Variables in Complex Mathematical Statements

The Journal of Mathematical Behavior, 2021
Abstract This study investigates undergraduate students’ meanings for quantified variables in mathematical statements involving multiple quantifiers. Clinical interviews with nine undergraduate students were conducted to explore students’ meanings for quantified variables.
Morgan Early Sellers, Kyeong Hah Roh, Erika David Parr   +2 more
openaire   +1 more source