[Online] Hong Kong Machine Learning Meetup Season 4 Episode 5

Back to online Meetups on Zoom for the foreseeable future in Hong Kong. No one is willing to spend some time in Penny's Bay if it can be avoided.

Talk 1: Jill-Jênn Vie on using Machine Learning to Improve Human Learning

Title: Information geometry & adaptive assessment

[TL;DR] Why do we keep bothering students with long questionnaires while we could adaptively assess their knowledge, and track it over time? We will present why the research field of educational data mining is old, hard, beautiful and important.

In this current era where digital access to knowledge is cheap and user attention is expensive, a number of online applications have been developed for learning. These platforms collect a massive amount of data over various profiles, that can be used to improve learning experience: intelligent tutoring systems can infer what activities worked for different types of students in the past, and apply this knowledge to instruct new students. In order to learn effectively and efficiently, the experience should be adaptive: the sequence of activities should be tailored to the abilities and needs of each learner, in order to keep them stimulated and avoid boredom, confusion and dropout.

About Jill-Jênn

JJ is designing machine learning models to predict student performance and optimize human learning. More broadly, he is interested in interactive systems that can help people learn a language, digital skills or culture.

Algorithmic problem solving is his passion, and he wants to teach it massively to kids. Unfortunately, this job does not exist (yet), so he (and colleagues) have to create a curriculum, educate teachers, etc. In the meantime, he has published two books on this topic.

https://jjv.ie

Note that Jill-Jênn Vie presented Mangaki https://mangaki.fr, a recommender system for mangas and anime, at the Hong Kong Machine Learning Meetup Season 1 Episode 1!
http://www.hkml.ai/2018/07/hong-kong-machine-learning-season-1-episode-1/