Results 91 to 100 of about 6,295,711 (294)

Components of the flipped classroom in higher education: disentangling flipping and enrichment

Frontiers in Education
IntroductionThe flipped classroom (FC) model shifts the initial presentation of new content from in-class to out-of-class, while in-class time focuses on elaborating previously presented content.
Gesa Bintz, Jonathan Barenberg, Stephan Dutke   +2 more
doaj   +1 more source

The flipped learning series: flipped learning for math instruction

, 2020
Active learning as a meta-strategy of meaningful learning is an essential ingredient for the effective learning of students as it actively engages the students, enhances interactivity and encourages them to acquire the knowledge with reason. It can impact the way the students receive, process and assimilate the information disseminated to them by ...
openaire   +2 more sources

Investigating the use of mobile instant messaging-facilitated 5E-flipped learning: a two-stage study

, 2020
Despite the worldwide popularity of flipped learning, we understand little about how to coherently structure a flipped class with appropriate communication services to engage students.
Hew, KF, TANG, Y, Lo, CK
core   +1 more source

Multilevel Embedding and Dropout for Improved 3D Object Detection in Autonomous Driving Systems

Advanced Robotics Research, EarlyView.
A plug‐in framework for RoI‐based 3D object detectors exploits previously untapped multi‐level information within RoI features. Its novel multi‐level embedding and dropout strategy enables the detection head to generate predictions at different feature levels.
Xiaohu Lu, Hayder Radha
wiley   +1 more source

An Efficient Biological Codon Recognition Reservoir Computing System Based on Low‐Energy Epitaxial Hf0.52Zr0.48O2 Ferroelectric Memristors

Advanced Science, EarlyView.
This work reports on epitaxially grown Hf0.52Zr0.48O2 ferroelectric memristors with high stability (high durability exceeding 108 cycles and a retention time exceeding 104 s for 16 states) and ultra‐low operating energy consumption (∼121 fJ). A memristor array‐based reservoir computing system is constructed and applied for the first time in the field ...
Ying Liu, Jikang Xu, Yongqing Jia, Wenxuan Wang, Weifeng Zhang, Biao Yang, Xiaobing Yan   +6 more
wiley   +1 more source

The Flipped Classroom in 21st Century Learning for Development of learning skills Algorithm Analysis of Basic Programming C Language

IJIE (Indonesian Journal of Informatics Education), 2019
Learning management of flipped classroom is a learning style that brings technology to the flipped classroom. The concept is "Study at home - homework at school" to develop the 21st century education which is a new paradigm learning style considered as a
Piyamart Kunpitak
doaj   +1 more source

Flipped learning to enhance self-efficacy and training satisfaction in pressure injury management: a commentary [PDF]

Commentary on: Chao, W.Y. and Liao, W. C.Liao, W. C. (2025). Long-Term Effects of Flipped Learning on Nurses’ Self-Efficacy and Satisfaction in Pressure Injury Management: A Multi-Center Quasi-Experimental Study. 85, 104 368.
Sorice, V., Gould, J.
core   +1 more source

Gratis!: A Flipped-Classroom and Active Learning Approach to Italian, Unità 1 - Al Bar Video

, 2022
Temple University Abroad. Rome CampusTemple University. College of Liberal ArtsFrench, German, Italian and SlavicThis video accompanies Unità 1 - Al Bar in Gratis! A Flipped-Classroom and Active Learning Approach to Italian, an open textbook by Carmelo A.
Scanlan, Eileen N., Giordano, Aidan Michael, Raker, Andrew E., Rudy, Julia   +3 more
core   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source