Results 141 to 150 of about 95,816 (267)

The impact of the mathematical adversity quotient on preparatory students' mathematics learning engagement: moderated mediation effect analysis. [PDF]

Front Psychol
Liu J, Sun Y, Li Y.
europepmc   +1 more source

A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go? [PDF]

Heliyon, 2021
Juandi D, Kusumah YS, Tamur M, Perbowo KS, Wijaya TT.   +4 more
europepmc   +1 more source

Mathematics Learning Disability

, 2012
De Smedt, Bert, Verschaffel, Lieven, Ghesquière, Pol   +2 more
openaire   +2 more sources

Wavefront Line‐Scan Imaging Via a Single‐Pixel Detector

Advanced Science, EarlyView.
We propose and demonstrate a wavefront line‐scan imaging paradigm that integrates 1D spatial light modulation with single‐pixel detection. Benefiting from 1D modulation, not only is the imaging speed improved, but also the storage of modulation patterns is reduced by several orders of magnitude.
Nuo Liu, Aiping Zhai, Tingting Zheng, Wenjing Zhao, Dong Wang   +4 more
wiley   +1 more source

Effects of students' mathematics learning strategy and perceived task difficulty on their achievement of mathematics. [PDF]

PLoS One
Eka WD, Tola TT, Negasi RD.
europepmc   +1 more source

The cerebellum-driven social basis of mathematics: implications for one-on-one tutoring of children with mathematics learning disabilities. [PDF]

Cerebellum Ataxias, 2021
Vandervert L, Moe K.
europepmc   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

Enhancing Mathematics Learning for Students with Intellectual and Developmental Disabilities in China: A Qualitative Study of Instructional Support. [PDF]

J Intell
Yan T, Jin Y.
europepmc   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Engagement patterns of middle school students with AI teachable agents in mathematics learning. [PDF]

Sci Rep
Liu Z, Xing W, Ngo B, Jiao X, Jiang S, Li C.   +5 more
europepmc   +1 more source