Results 211 to 220 of about 7,339,380 (346)

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

Mathematics Learning Disability

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

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

Advanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

The effects of perceived teacher support on online mathematics learning power: the mediating roles of artificial intelligence literacy and cognitive tools. [PDF]

Front Psychol
Hu Y, Liu L, Yang H, Jia X.
europepmc   +1 more source

Self-regulated learning, online mathematics learning engagement, and perceived academic control among Chinese junior high school students during the COVID-19 pandemic: A latent profile analysis and mediation analysis. [PDF]

Front Psychol, 2022
Dai W, Li Z, Jia N.
europepmc   +1 more source

Canonical Correlation Analysis (CCA) Between Student Dispositions and Mathematics Performance in Technology-Enhanced Collaborative Learning Environments

Mar Carlo B. Lesula, Jestoni S. Bitache
openalex   +2 more sources

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Anonymized Item-Level Mathematics Assessment Dataset for Leakage-Aware Cross-Competency Machine Learning

Miguel Ángel Cornelio-Chujutalli, shirley kesslena SUAREZ REATEGUI, King Klaus Ramírez-Pizango   +2 more
openalex   +2 more sources

Charting the knowledge landscape of mathematics learning disabilities: an analysis of intellectual structure and research frontiers. [PDF]

Front Psychol
Li C, Wang L.
europepmc   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source