Gen-AI: Artificial Intelligence and the Future of Work Artificial Intelligence (AI) has the potential to reshape the global economy, especially in the realm of labor markets. Advanced economies will experience the benefits and pitfalls of AI sooner than emerging market … Continued
Question generation (QG) is a natural language processing task with an abundance of potential benefits and use cases in the educational domain. In order for this potential to be realized, QG systems must be designed and validated with pedagogical needs … Continued
Recent advancements in artificial intelligence (AI) are fundamentally reshaping computing, with large language models (LLMs) now effectively being able to generate and interpret source code and natural language instructions. These emergent capabilities have sparked urgent questions in the computing education … Continued
From Discussion: Another theme that emerged was related to experience level and trust. Students who were less familiar with these models or who had early negative experiences were much less likely to want to use them. This is partially explained … Continued
Artificial intelligence (AI) is a significant part of digital transformation that signifies new requirements for middle managers in AI-integrated work contexts. This is particularly evident in financial service industries. Given the significance and rapidity of this technological transition, this case … Continued
Formative feedback has long been recognised as an effective tool for student learning, and researchers have investigated the subject for decades. However, the actual implementation of formative feedback practices is associated with significant challenges because it is highly time-consuming for … Continued
The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education (AIED) offers new scalable, data-intensive systems but also raises concerns about data privacy and agency. Excluding stakeholders — like students and teachers — from the design process can … Continued
Applications of artificial intelligence (AI) to material design have attracted increasingattention in recent years. Although AI-aided material design holds great promise forsome applications, whether it has surpassed human creativity remains uncertain. Theaim of the current study was to compare … Continued
Pilot studies are an essential cornerstone of the design of crowdsourcing campaigns, yet they are often only mentioned in passing in the scholarly literature. A lack of details surrounding pilot studies in crowdsourcing research hinders the replication of studies and … Continued
Machine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and generalizability. These failures can hinder scientific progress, lead to false consensus around invalid claims, and undermine … Continued