Results 81 to 90 of about 16,566 (306)
Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment
Advanced Materials Interfaces, EarlyView.Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Exploring learners’ grammatical development in mobile assisted language learning
Cogent Education, 2020 This study reports the results of a mixed methods approach to investigate the impact of instructor feedback in mobile-assisted language learning (MALL) on the grammatical development of English as a foreign language (EFL) learners.
Negin Ghorbani, Saman Ebadi
doaj +1 more source
A framework to support multilingual mobile learning : a South African perspective [PDF]
The proliferation of mobile phone ownership across the world has motivated education technology specialists to find ways of supporting the process of learning in both formal and informal environments through mobile devices. Mobile learning has introduced
Jantjies, Mmaki
core
Advanced Robotics Research, EarlyView.Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Language Learners Perceptions and Experiences on the Use of Mobile Applications for Independent Language Learning in Higher Education [PDF]
IAFOR Journal of Education, 2015 With the widespread use of mobile phones and portable devices it is inevitable to think of Mobile Assisted Language Learning as a means of independent learning in Higher Education.
Ana Niño
doaj
The Efficiency of Mobile Assisted Language Learning (Mall) in Vocabulary Learning
, 2020 {"references": ["Ally, M. (2009). Mobile learning: Transforming the delivery of education and training. Edmonton: Athabasca University Press.", "Baek, Y. K. (2008). What hinders teachers in using computer and video games in the classroom? Exploring factors inhibiting the uptake of computer and video games. Cyber Psychology and Behavior, 11(6): 665-671."
Atay, Enes +2 more
openaire +2 more sources
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 +2 more
wiley +1 more source
Tablets for informal language learning: Student usage and attitudes [PDF]
, 2013 Mobile-assisted language learning (MALL), a relatively new area of CALL inquiry, is gaining more and more attention from language educators with the development of new mobile devices.
Chen, Xiao-Bin
core +1 more source
Advanced Robotics Research, EarlyView.DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source