Results 91 to 100 of about 4,605,685 (250)

Text messaging for out-of-class communication : Impact on affective learning [PDF]

open access: yes, 2013
Learning in the affective domain includes the manner by which people deal with things emotionally, such as feelings, values, appreciation, enthusiasms, motivations and attitudes.
Hall, Timothy   +2 more
core   +3 more sources

Muscle Control of an Extra Robotic Digit

open access: yesAdvanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ   +7 more
wiley   +1 more source

The Impact of Different Instructor Participation Approaches in Asynchronous Online Discussions on Student Performance

open access: yesOnline Learning
Instructor participation plays a crucial role in asynchronous online discussions, with the approach taken potentially impacting student performance.
Jiarui Xie   +2 more
doaj   +1 more source

Teaching Presence in Online Education: From the Instructor's Point-of-View

open access: yesOnline Learning, 2014
Most often the topic of creating any type of presence in online education is viewed from the student perspective (Oztok & Brett, 2011). This research examines the creation of teaching presence from the vantage point of the instructor.
Kristi A. Preisman
doaj   +1 more source

A Multidirectional Textile Interface for Remote Control Using Dynamic Area‐Based Capacitance Modulation

open access: yesAdvanced 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

Visual Cues in Online Education: How Emojis in Asynchronous Instructor Communication Strengthen Emotional and Behavioral Outcomes

open access: yesEducation Sciences
Online learning environments often lack nonverbal cues that support relational communication between instructors and students, making it difficult to establish emotional connection and trust.
Minseong Kim   +3 more
doaj   +1 more source

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

open access: yesAdvanced 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

LLM‐Integrated Human–Robot Interaction System for Microrobots

open access: yesAdvanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

COM612

open access: yes, 2019
Prerequisite: COM 610 or instructor permission Overview of types and stages of crises, crisis communication theories, and role of management in a crisis; impact of online world on crisis management; reputation management; crisis prevention, preparation ...
Communication Department
core  

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

open access: yesAdvanced 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

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