In recent years, the advancement of open science has led to data sharing becoming more common practice. Data availability has clear merits for science as it opens up possibilities for re-use of datasets by others, leading to less redundancy, more … Continued
The rapid advancement of generative AI has enabled the creation of pre-mortem digital twins, AI-driven replicas that mimic the behavior, personality, and knowledge of living individuals. These digital doppelgangers serve various functions, including enhancing productivity, enabling creative collaboration, and preserving … Continued
osf.io Collaborative learning – an educational paradigm in which students work together to master content and complete projects – has long been a staple of classroom pedagogy. However, the rapid development of Large Language Model chatbots (LLMs), such as ChatGPT, … Continued
This paper describes seven potential benefits of incorporating agent-based modeling (ABM) as a core research methodology for psychological research on social phenomena: building formal theories of complex social systems, validating multilevel causation, understanding temporal and non-linear dynamics, demonstrating the completeness … Continued
Ryan Watkins from the HTC lab, along with recent GW alumni Dr. Kazumi Homma and GW engineering faculty Dr. Ekundayo Shittu, recently published Research ethics in STEM education at universities: a scoping review in the Journal of Academic Ethics. Homma, … Continued
osf.io Collaborative learning – an educational paradigm in which students work together to master content and complete projects – has long been a staple of classroom pedagogy. However, the rapid development of Large Language Model chatbots (LLMs), such as ChatGPT, … Continued
Many domains now employ AI-based decision-making aids, and although the potential for AI systems to assist with decision making is much discussed, human-AI collaboration often underperforms due to factors such as (mis)trust in the AI system and beliefs about AI … Continued
AI writing assistants powered by Large Language Models (LLMs) are increasingly used to make autocomplete suggestions to people as they write. Can these AI writing assistants impact people’s attitudes in this process? In two large-scale preregistered experiments (N=2,582), we exposed … Continued
Compound AI systems that combine multiple LLM calls, such as self-refine and multi-agent-debate, achieve strong performance on many AI tasks. We address a core question in optimizing compound systems: for each LLM call or module in the system, how should … Continued
It is widely believed that outsourcing cognitive work to AI boosts immediate productivity at the expense of long-term human capital development. An opposing possibility is that AI tools can support skill development by providing just-in-time, high-quality, personalized examples. This work … Continued