While automatic dialogue tutors hold great potential in making education personalized and
more accessible, research on such systems has been hampered by a lack of sufficiently …

Scaling high-quality tutoring remains a major challenge in education. Due to growing
demand, many platforms employ novice tutors who, unlike experienced educators, struggle …

Scaling high-quality tutoring is a major challenge in education. Because of the growing
demand, many platforms employ novice tutors who, unlike professional educators, struggle …

High-quality conversational datasets are crucial for the successful development of Intelligent
Tutoring Systems (ITS) that utilize a Large Language Model (LLM) backend. Synthetic …

Conversational tutoring systems (CTSs) aim to help students master educational material
with natural language interaction in the form of a dialog. CTSs have become a key pillar in …

One-to-one tutoring is often an effective means to help students learn, and recent
experiments with neural conversation systems are promising. However, large open datasets …

Designing dialog tutors has been challenging as it involves modeling the diverse and
complex pedagogical strategies employed by human tutors. Although there have been …

To construct dialogue-based Intelligent Tutoring Systems (ITS) with sufficient pedagogical
expertise, a trendy research method is to mine large-scale data collected by existing …

The rich natural language dialogue that is exchanged between tutors and students has
inspired many successful lines of research on tutorial dialogue systems. Yet, today's tutorial …

For middle-school math students, interactive question-answering (QA) with tutors is an
effective way to learn. The flexibility and emergent capabilities of generative large language …