Results 191 to 200 of about 51,743 (307)
Using Storytelling and Robot Theater to Develop Computational Thinking
Denise Szecsei
openalex +1 more source
A teaching scheme using forerun computing-culture cases for computational-thinking oriented course
Yiyi Xu, Pengfei Liu, Zhao Jun
openalex +2 more sources
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
Development and influencing factors of artificial intelligence literacy and computational thinking in Chinese university students. [PDF]
Hu Z, He H, Zhang C, Guan Y.
europepmc +1 more source
A targeted modulation of the MoS2 electronic structure is achieved via substitutional n‐type Co/Fe co‐doping. This strategy triggers S‐mediated d‐p hybridization, optimizing the binding affinity with polysulfides to establish a volcano‐shaped relationship between the d‐band center and catalytic activity.
Junhyuk Ji +6 more
wiley +1 more source
Exploring the Impact of Open Pedagogy on Minority Students' Motivation, Computational Thinking, and Perceived Learning in Interactive Computer Game Development. [PDF]
Kuo YT, Kuo YC.
europepmc +1 more source
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
Student Characteristics and ICT Usage as Predictors of Computational Thinking: An Explainable AI Approach. [PDF]
Guan T, Zhang L, Ji X, He Y, Zheng Y.
europepmc +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source

