Results 121 to 130 of about 317,832 (316)
The Conditions for Collaborative Groups’ Regulation of Learning: What can Multimodal Data Showcase? [PDF]
It is argued that collaborative learning flourishes when groups effectively regulate their learning processes, but understanding the conditions enabling such regulation remains a challenge.
Zabolotna, Kateryna +2 more
core +1 more source
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
Evaluating Collaborative Learning Processes
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 +3 more
openaire +3 more sources
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 +2 more
doaj +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
Collaborative Learning With a Drone Orchestrator
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 +3 more
openaire +4 more sources
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
This study explores postgraduate students’ perceptions of the effectiveness of collaborative learning within computer-based environments. The research investigates the distinctions between collaborative learning and group work, examining how students ...
Sakirulai Olufemi Isiaq, Louise Usher
doaj +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Collaborative E-learning Methodologies: an Experience of Active Knowledge in ICT Classrooms
In the present study we highlight a specific environment that makes use of collaborative technological tools, like wikis and forums within an e-learning platform.
Pinheiro, Margarida M., Simões, Dora
core

