تطویر شبکة اجتماعیة تکیفیة للتعلم الإلکترونی القائم على المشروعات وفقا لأسلوب التعلم (الکلی/التحلیلی) وأثرها على تنمیة مهارات البرمجة وحل المشکلات لدى طلاب تکنولوجیا التعلیم Development an Adaptive Social Network for Project-Based E-Learning According to The Learning Style (Global/ Analytical) and Its Effectiveness in Developing of Programming Sk [PDF]
أیمن فوزى خطاب مدکور
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A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon +8 more
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Relationship between the learning gains and learning style preferences among students from the school of medicine and health sciences. [PDF]
Bazán-Perkins B +1 more
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Differences in medical student performance on examinations: exploring score variance between Kolb's Learning Style Inventory classifications. [PDF]
Reynolds QJ +4 more
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Learning Styles Type Indicator: una adaptación para estudiantes medios y universitarios argentinos
Agustín Freiberg Hoffmann +1 more
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Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
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Is the Student-Centered Learning Style More Effective Than the Teacher-Student Double-Centered Learning Style in Improving Reading Performance? [PDF]
Dong Y, Wu SX, Wang W, Peng S.
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Preference of Learning Styles and its Relationship with Academic Performance among Junior Secondary School Students in Dutse Local Government Area, Jigawa State, Nigeria [PDF]
Joy N. Njoku, Basiru Abdulhamid
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This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
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