Results 91 to 100 of about 189,111 (268)

Collaborative Learning in Computer Labs for Science Education

Ascarya
This study analyzes the use of Computer-Supported Collaborative Learning (CSCL) in computer laboratory settings for secondary school science education.
Hakar J. Mohammed Salih, Jahwar Y. Arif , Shaimaa Q. Sabri   +2 more
doaj   +1 more source

Evaluating Collaborative Learning Processes

, 2002
Understanding and analyzing collaborative learning processes require a fine-grained sequential analysis of the group interaction in the context of learning goals. Several researchers in the area of cooperative work take as a success criterion the quality of the group outcome.
César A. Collazos 0001, Luis A. Guerrero, José A. Pino, Sergio F. Ochoa   +3 more
openaire   +3 more sources

Polymer Substrates for Flexible Sensors: Advances and Contributions to Smart Agriculture

Advanced Functional Materials, EarlyView.
This review comprehensively summarizes recent advances in polymer‐based flexible sensors for smart agriculture, focusing on polymer substrate design, interface engineering, and applications in soil, plant, animal, aquaculture, and post‐harvest monitoring.
Yihui Li, Zhangzheng Xiao, Zheng Yan, Adnan Raza Altaf, Qun Song, Dingding Yao, Afshan Sohail, Yixin Wang, Wenxiu Ma, Shanjun Li, Yaohui Chen, Peiwen Liu, Kai Zhang   +12 more
wiley   +1 more source

Implementasi Metode Kolaboratif Dalam Pembelajaran Pendidikan Agama Islam Untuk Meningkatkan Partisipasi Siswa

Jurnal Keislaman
This study aims to analyse the implementation of collaborative methods in learning Islamic religious education to increase student participation. The research method used in this study is field qualitative method.
Ressa Amara, Hasyim Asy’Ari, Muhammad Saidun Anwar   +2 more
doaj   +1 more source

Collaborative Learning With a Drone Orchestrator

IEEE Transactions on Vehicular Technology
In this paper, the problem of drone-assisted collaborative learning is considered. In this scenario, swarm of intelligent wireless devices train a shared neural network (NN) model with the help of a drone. Using its sensors, each device records samples from its environment to gather a local dataset for training.
Mahdi Boloursaz Mashhadi, Mahnoosh Mahdavimoghadam, Regius Rahim Tafazolli, Walid Saad 0001   +3 more
openaire   +4 more sources

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

The relationship between peer learning and self-directed learning: the mediating role of collaborative leadership among pre-service mathematics teachers

Frontiers in Psychology
IntroductionThis study aimed to examine the relationship between peer learning and selfdirected learning, as well as the mediating role of collaborative leadership among pre-service mathematics teachers.MethodsA cross-sectional quantitative research ...
Mustafa Çağrı Gürbüz, Ramazan Özkul, Sedat Şen   +2 more
doaj   +1 more source

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park, Yeonseop Shin, Changhyeon Han, Sangwoo Kim, Eunchan Park, Youngchan Cho, Jaehong Min, Hyunjun Ahn, Jaekyoung Park, Cheol‐Woong Yang, Jangsaeng Kim, Daewoong Kwon, Wonjun Shin   +12 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source