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Found 5 papers, 0 papers with code
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
This survey article has grown out of the GAIED (pronounced "guide") workshop organized by the authors at the NeurIPS 2023 conference.
Getting too personal(ized): The importance of feature choice in online adaptive algorithms
We explore these issues in the context of using multi-armed bandit (MAB) algorithms to learn a policy for what version of an educational technology to present to each student, varying the relation between student characteristics and outcomes and also whether the algorithm is aware of these characteristics.
Reinforcement Learning for Education: Opportunities and Challenges
This survey article has grown out of the RL4ED workshop organized by the authors at the Educational Data Mining (EDM) 2021 conference.
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages
We train neural machine translation (NMT) models from English to six target languages, using NMT encoder representations to predict ancestor constituent labels of source language words.
An Overview of Machine Teaching
In this paper we try to organize machine teaching as a coherent set of ideas.
