Listing of events related to the Learning Observer
View the Project on GitHub ETS-Next-Gen/learning-observer-events
Welcome to the Educational Data Mining in Writing and Literacy Instruction Workshop. This workshop will be hosted at EDM’25 in an online format. If you are attending EDM in person, there should also be a conference room you can join for this workshop.
This workshop has two major parts: A tutorial session and a paper presentation session.
Registration Instruction: To register for the workshop, please register for the EDM Conference in advance.
Please take a look at this page for more information, including the detailed schedule and list of paper presentations, before you go to the workshop. During the workshop, you could visit this doc to participate.
During the tutorial session, we will introduce The Writing Observer.This introduction will include a discussion of our overall architecture, an introduction to data analysis and evaluation tools, and the basic interface framework. The first half of this tutorial will be a demo of the tool we’re building; we have several major components ready to present and receive feedback from the community, including a modular framework for processing learning or writing process data, a suite of NLP algorithms for extracting features from student writings, a system for rapidly developing teaching-facing dashboards, an event streaming library featuring pretty robust queuing, and more. We will work through the steps to install the system, having participants build a few dashboards and letting us know what they think, as well as what would be needed to make this useful for their own work and possible research collaborations.
The objective of this session is to facilitate a discussion among our research community around Educational Data Mining (EDM) and AI in Writing and Literacy Education. The workshop is meant to be an interdisciplinary event. Researchers, faculty, and students are welcomed and encouraged to submit their work and share their data mining approaches, methodologies, and experiences where AI is transforming the way students learn Writing skills. The call for paper can be found here. All papers should be submitted through EasyChair.