Results 71 to 80 of about 11,031,396 (252)
WhatsApp, a Mobile Application for Social Learning of the Italian Language through Micro-Tasks
Studies in mobile learning (m-Learning) have demonstrated that WhatsApp mobile messaging applications can be harnessed effectively for didactic purposes by taking advantage of over two billion users worldwide.
Moreno Celeghin, María Gracia +1 more
core
Selecting and evaluating mobile apps for language learning
Mobile-assisted language learning (MALL) is one of the most important recent developments in the field of computer-assisted language learning (CALL). It is growing with an increasing number of studies that examine various mobile devices in formal and ...
Son, Jeong-Bae
core +1 more source
Language Learners Perceptions and Experiences on the Use of Mobile Applications for Independent Language Learning in Higher Education [PDF]
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
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
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
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
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
The objective of this study is to explore the implementation of Mobile-Assisted Language Learning (MALL) in English language learning, describe the students’ perceptions of MALL's implementation, lecturers’ views about the implementation of MALL, and ...
Magvirah El Walidayni +2 more
doaj +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Toward mobile learning deployment in higher education [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Mobile Learning (M-learning) refers to any kind of learning which takes place within and beyond the traditional learning environment via wireless mobile ...
Abu-Al-Aish, Ahmad
core +3 more sources
The mobile-assisted seamless learning approach shows great promise in significantly enhancing vocabulary development among second language learners, particularly through artifact creation and engaging activities This study explores the experiences of ...
Xiaosheng Zhou, Ying Soon Goh
doaj +1 more source

