Engaging students in argument from evidence is an essential goal of science education.
This is a complex skill to develop; recent research in science education proposed the use of …

Natural Language Processing (NLP) systems are vital for precisely interpreting user
intentions in order to guarantee efficient communication between people and computers …

Abstract Conversational Agents (CAs) have made their way to providing interactive
assistance to users. However, the current dialogue modelling techniques for CAs are …

The tremendous development in large language models (LLM) has led to a new wave of
innovations and applications and yielded research results that were initially forecast to take …

The evolution of consumer electronics is increasingly driven by advancements in industrial
automation, where generative artificial intelligence (AI) plays a pivotal role, particularly in …

Autonomous systems, such as drones and rescue robots, are increasingly used during
emergencies. They deliver services and provide situational awareness that facilitate …

An important component for the effective collaboration of humans with robots is the
compatibility of their movements, especially when humans physically collaborate with a …

We investigate what it might look like for a robot to work with a human on a need-finding
design task using an affinity diagram. While some recent projects have examined how …

Telepresence technology creates the opportunity for people that were traditionally left out of
the workforce to work remotely. In the service industry, a pool of novice remote workers …

The paper presents a preliminary study on employing Natural Language Processing (NLP)
techniques for automated formative assessment of scientific explanations in Turkish, a …