Results 51 to 60 of about 11,444,850 (192)
The success of students in solving mathematical problem-solving tasks is influenced by several factors. Charles and Lester explain that the factors influencing mathematical problem-solving abilities are experiential factors, affective factors, and ...
Mirzanul Afidati, Heru Agni Setiaji
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Conversion‐induced sulfur expansion generates strong mechanical constraints and localized stresses within solid‐state Li‐S cathodes. Heterogeneous solid‐electrolyte confinement creates tensile strain‐energy hotspots that govern particle cracking. Larger sulfur particles accelerate fracture, while higher porosity relaxes constraint and delays damage ...
Arpan K. Sharma +3 more
wiley +1 more source
The Relationship between Self-Directed Learning and Problem-Solving Ability in Trigonometry
Mathematical problem-solving abilities in trigonometry material remain a challenge for many students, partly because they lack self-directed learning skills to manage the learning process.
Iim Muhijah +3 more
doaj +1 more source
Self‐Adaptive Gradient Interphase Enables Durable Solid‐State Lithium Metal Batteries
This work presents a machine learning‐guided interfacial design that forms a self‐adaptive graded interphase on lithium metal anode. A B105M40 composite interlayer evolves into lithiophilic, porous, and fast‐ion‐conducting phases, enabling intimate contact, dendrite suppression, and uniform lithium deposition.
Hongmin Liu +9 more
wiley +1 more source
Students' mathematical problem solving ability is very important. But the results of the observation and supported by several studies of students' mathematical problem solving abilities are still very low.
Jamroni Wibi Darmani, Achi Renaldi
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The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Enhancing Students’ Mathematical Creative Problem Solving Ability Through Situation-Based Learning [PDF]
Learning activities which emphasize more on answering questions than presenting questions have caused students’ lack awareness to encounter some problems. The situation of the students’ weak problem finding competence leads to their weak idea finding and
., Tiurlina, ., Isrok’atun
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This research aims to determine the effectiveness of Student Teams Achievement Division (STAD) learning model assisted by question cards and description of mathematical problem solving ability in terms of students' learning motivation using STAD learning
Mulyono, Amira Sulkha Fatika
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This research is a quasi experimental research, which aims to examine the achievement and improvement of problem solving skills and mathematical disposition of MA students by using Problem Posing approach.
Yayu Yusniawati +2 more
doaj +1 more source

