Results 131 to 140 of about 910,666 (269)

'We work together as a group': implications of jigsaw cooperative learning. [PDF]

BMC Med Educ, 2023
Jeppu AK, Kumar KA, Sethi A.
europepmc   +1 more source

Pengaruh Model Problem Based Learning dan Cooperative Learning Metode Jigsaw terhadap Prestasi Belajar Akuntansi Ditinjau dari Motivasi Belajar (Studi Eksperimen pada Siswa Kelas XI IPS SMA Negeri 1 Surakarta Tahun Ajaran 2013/2014) [PDF]

, 2013
The aims of the research are to find out: (1) The difference of effect problem based learning model and cooperative learning model jigsaw method toward the student achievement in accounting subject matter; (2) The difference of effect high student\u27s ...
Adi, W. (Wahyu), Octoria, D. (Dini), Pratiwi, A. A. (Alifah)   +2 more
core  

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

MODEL PEMBELAJARAN KOOPERATIF TIPE THINK PAIR SHARE DAN HASIL BELAJAR DI SEKOLAH

Ta'dib, 2011
Cooperative learning is learning that requires students to be responsible for himself and his group are responsible for. With cooperative learning students will more easily find and understand difficult concepts if they were in discussions with his ...
Elhefni Elhefni
doaj  

Focusing on the value of cooperative learning in physical education: a bibliometric analysis. [PDF]

Front Psychol, 2023
Zhou T, Wang H, Li D.
europepmc   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source