Results 151 to 160 of about 3,356 (201)

Computational Thinking for Self-Regulated Learning

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1
Stefan Pasterk, Gertraud Benke
openaire   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

Advanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 more
wiley   +1 more source

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Self-Regulated Learning

2023
Students become experts in their own learning through the process of self-regulated learning (SRL). Neither being a mental capacity nor a performance dexterity, self-regulation is the self-directed procedure through which learners translate their psychological capacities into task-related skills in several situations, such as academics, athletics ...
Amina Parveen, Shazia Jan, Insha Rasool, Raja Waseem, Rameez Ahmad Bhat   +4 more
  +4 more sources

Self-Regulated Learning

2011
This chapter assumes the importance of developing Self-Regulated Learning (SRL) competences in students in order to cope with the challenges of today’s and tomorrow’s society. To achieve this, it is claimed that it is crucial to train teachers who are aware of what SRL is and are able to support their students in developing these abilities.
Delfino, M., Persico, D.
openaire   +3 more sources

Self-Regulated Learning

2016
Effective self-regulated studying can influence students’ learning in school and beyond. This chapter reviews research on two key decisions: when to study and how to study. It first reviews the decisions people make about when to start and stop studying—that is, when to study—and the metacognitive judgments that underlie those decisions.
Nate Kornell, Bridgid Finn
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Self-regulation of learning and MOOC retention

Computers in Human Behavior, 2020
Background Due to MOOC high attrition rates, this study aims to assess differences in self-regulated learning strategies and other variables related to MOOC retention (perceived effectiveness, MOOC interaction, motivation and socio-demographic characteristics) between course completers and non-completers.
Charo Reparaz, Maite Aznárez-Sanado, Guillermo Mendoza   +2 more
openaire   +2 more sources

A self-regulated learning system with scaffolding support for self-regulated e/t-learning

ITRE 2005. 3rd International Conference on Information Technology: Research and Education, 2005., 2005
The paper proposes a self-regulated learning system with scaffold support for self-regulated e/m-learning. With the support of the self-regulated system, the learner can identify his best way for learning, where a learner can get supports from the environmental resources in a scaffolding manner and improve his performance of self-regulated learning ...
Kuei-Ping Shih, Chih-Yung Chang, Hung-Chang Chen, Sheng-Shih Wang   +3 more
openaire   +1 more source