Our paper “Neural engagement with online educational videos predicts learning performance for individual students” is out in “Neurobiology of Learning and Memory” Volume 155, November 2018, Pages 60-64 you can read the paper here
This is an exciting result which shows that with higher neural engagement, when watching educational videos, students perform better on questionnaires related to the video content, presented after the video. Neural engagement is measured as the Inter Subject Correlation of EEG signals recorded while students watch educational videos within the topic of Science, Technology, Engineering and Mathematics (STEM). This is a very intuitive result, if students pay attention to the videos, they also do better on the test.
Future research will look in to easier and more mobile methods to assess engagement in online education. Also investigating if our results generalize to other types of educational material and teaching styles. Stay tuned for updates.
In late 2017 i took the jump, from working in safe little Denmark to work in New York city at the City College of New York. From a lab that was focused on machine learning and modelling to a lab that goes from question, designing an experiment, collecting data, modelling and answering those questions (full cycle). Which has been a welcomed challenge.
I have been warmly welcomed in the lab by Prof. Lucas Parra and all the people working in the lab. It has been a big change, both in working environment (things are different in the US) but also the new field i am working in. From worrying about features, models etc. to now doing Neural Engineering working with EEG, ECG and eye tracking.
I have been hired in the NSF funded project “Assessing student attentional engagement from brain activity during STEM instruction”. Here we are exploring how to assess both the efficacy of different teaching styles in online education and different physiological measures to assess the attentional engagement of students. I have been hired for a 3-year postdoc and i am looking forward to the challenge. I will keep you updated with progress 🙂
I have been invited to talk at the Nordic.ai “festival”, 9th of March @Vega in Copenhagen, Denmark. The program indicates that its going to be 20+ variants of Machine Learning!!
To break up the stream of “how deep is your network” i will talk a little about how we define the question that we want to solve using ML. Specifically i will explore the different both evolutionary and cognitive psychological mechanisms we can target to make better music services.
See you there 🙂
Last year i did an interview with Palle Vibe that works for the magazine “Alt om Data”, here are the efforts (its in danish)
It is always interesting to see how different people and journalist interpret your research. There is always a new angle and perspective, which makes it worth while and interesting to do these interviews 🙂
Here is the talk i gave back in December at the DTU Alumni event about Big data (its in Danish). Its on a somewhat “high level” meaning most people should be able to follow and only digging in to details on occations.
People were very passive with responses during the talk, so i kept repeating things, just to be sure that people were following 🙂
I did experience some technical problems regarding the pointer, so you will see me really moving a lot on the stage.
I am giving a talk about big data and audio at a DTU Alumni event. I will be talking both about my walk with modeling emotions expressed in music and tough upon our work with the danish radio archive. See you there