33 citations · 38 across the 7 of their papers we have counts for
9 papers
Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits
Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban
We present an adaptive learning Intelligent Tutoring System, which uses model-based reinforcement learning in the form of contextual bandits to assign learning activities to studen…
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems
Devang Kulshreshtha, Muhammad Shayan, Robert Belfer +3
Existing work on generating hints in Intelligent Tutoring Systems (ITS) focuses mostly on manual and non-personalized feedback. In this work, we explore automatically generated que…
Question Personalization in an Intelligent Tutoring System
Sabina Elkins, Robert Belfer, Ekaterina Kochmar +2
This paper investigates personalization in the field of intelligent tutoring systems (ITS). We hypothesize that personalization in the way questions are asked improves student lear…
A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions
Francois St-Hilaire, Dung Do Vu, Antoine Frau +28
Despite artificial intelligence (AI) having transformed major aspects of our society, less than a fraction of its potential has been explored, let alone deployed, for education. AI…
Comparative Study of Learning Outcomes for Online Learning Platforms
Francois St-Hilaire, Nathan Burns, Robert Belfer +16
Personalization and active learning are key aspects to successful learning. These aspects are important to address in intelligent educational applications, as they help systems to…
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval
Devang Kulshreshtha, Robert Belfer, Iulian Vlad Serban +1
In this work, we introduce back-training, an alternative to self-training for unsupervised domain adaptation (UDA) from source to target domain. While self-training generates synth…