نتائج البحث

THE BENEFITS OF USING THE BLENDED LEARNING METHODOLOGY IN CONDITIONS OF WAR.

• Authors : Zhumbei, Marianna¹ ; Nych, Oksana² ; Tymkiv, Iryna³

• Source: Conhecimento & Diversidade. jan-mar2024, Vol. 16 Issue 41, p402-418. 17p.

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Value Assessment of Online Educational Resources in the Context of Blended Learning.

• Authors : Chen Sun¹,

• Source: International Journal of Emerging Technologies in Learning; 2023, Vol. 18 Issue 20, p151-165, 15p

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Analyzing the performance of a bio-sensor integrated improved blended learning model for accurate pneumonia prediction

• Authors : Lekshmy S; Sridhar K.P.; Michaelraj Kingston Roberts

Subjects: Alveolar gas; Blended learning; Biosensors

• Source: Results in Engineering, Vol 22, Iss , Pp 102063- (2024)

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Improving Measurement of Effectiveness of Blended Learning in Iraqi Education Using SVM.

• Authors : Abdul Hussein, Reem Razzaq¹ ; Najeeb, Huda Dheyauldeen²

Subjects: *BLENDED learning; *COMPUTER literacy; *SUPPORT vector machinesIRAQ

• Source: Iraqi Journal of Science. 2022, Vol. 63 Issue 9, p4057-4066. 10p.

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Application of wireless sensor network based on improved genetic algorithm in English blended learning

• Authors : Guo Yuanda

Subjects: Adaptive genetic algorithm; Network teaching; Information processing

• Source: Measurement: Sensors, Vol 33, Iss , Pp 101174- (2024)

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COMPARISON OF E-INCLUSION PREDICTION MODELS IN BLENDED LEARNING COURSES.

• Authors : Vitolina, Ieva¹; Kapenieks, Atis¹

• Source: International Conference e-Society. 2021, p101-108. 8p.

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Blended learning: ¿modalidad mixta capaz de mejorar el proceso de enseñanzaaprendizaje en el campo de la Informática?

• Authors : Salas-Rueda, Ricardo-Adán¹, ail.com; Alvarado-Zamorano, Clara², ; de la Cruz Martínez, Gustavo³,

• Source: Dilemas Contemporáneos: Educación, Política y Valores; May2020, Vol. 7 Issue 3, p1-28, 28p

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Perception of students on blended learning considering data science and machine learning.

• Authors : Salas-Rueda, Ricardo-Adán¹,

• Source: Campus Virtuales; Mar2020, Vol. 9 Issue 1, p125-135, 11p

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Comparison of Water Quality Prediction for Red Tilapia Aquaculture in an Outdoor Recirculation System Using Deep Learning and a Hybrid Model.

• Authors : Jongjaraunsuk, Roongparit¹ (AUTHOR) ; Taparhudee, Wara¹ (AUTHOR) ; Suwannasing, Pimlapat² (AUTHOR)

Subjects: *WATER quality; *CONVOLUTIONAL neural networks; *DEEP learning

• Source: Water (20734441). Mar2024, Vol. 16 Issue 6, p907. 15p.

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Hybrid physics-machine learning models for predicting rate of penetration in the Halahatang oil field, Tarim Basin.

• Authors : Jiao, Shengjie¹ (AUTHOR); Li, Wei^1,2 (AUTHOR) ; Li, Zhuolun¹ (AUTHOR)

• Source: Scientific Reports. 3/15/2024, Vol. 14 Issue 1, p1-27. 27p.

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