Results 121 to 130 of about 10,978,307 (286)

Communities of practice, virtual learning communities and self-regulated learning

, 2005
In this paper we analyze self-regulated learning in computer-supported collaborative environments, which are the natural workspace of virtual learning communities of practice.
Giuliana Dettori, Tania Giannetti, Donatella Persico   +2 more
core  

Enhancing Students’ Writing Performance through Self-Regulated Learning Strategies [PDF]

The fundamental goal of education is to teach students to become self-regulated learners who actively and efficiently manage their learning processes by deploying self-regulated learning strategies.
Teklesellassie, Yinager, Ayalew, Zelalem, Yigzaw, Abiy   +2 more
core   +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

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
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, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“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, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Self-Regulated Strategies and Cognitive Styles in Multimedia Learning

, 2011
An experiment was carried out to investigate how participants self-regulate their access to explanatory pictures that were designed to facilitate learning.
Colombo, Barbara, Antonietti, Alessandro
core   +1 more source

Perbedaan Self-regulated Learning Siswa Sekolah Menengah Kejuruan berdasarkan Jenis Kelamin

Jurnal Kajian Bimbingan dan Konseling, 2018
: The purpose of this study was to identify the differences in self-regulated learning of male and female students in Sekolah Menengah Kejuruan Muhammadiyah in Yogyakarta, Special Region of Yogyakarta, Indonesia. This quantitative study using comparative
Wahyu Nanda Eka Saputra, Said Alhadi, Agus Supriyanto, Claudy Desya Wiretna, Babay Baqiyatussolihat   +4 more
doaj  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Combining university student self-regulated learning indicators and engagement with online learning events to predict academic performance

, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated ...
Ellis, RA, Pardo, A, Han, F., Ellis, R.A., Han, F, Pardo, A.   +5 more
core   +1 more source