Learning Observer Events

Listing of events related to the Learning Observer

View the Project on GitHub ETS-Next-Gen/learning-observer-events

Educational Data Mining in Writing and Literacy Instruction

Welcome to the Educational Data Mining in Writing and Literacy Instruction Workshop. This workshop will be hosted at EDM’25 in a hybrid format. This in-person event will be in Palermo, Italy, on July 20th, 2024. A detailed schedule will be announced later.

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. 

Tutorial

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.

Paper Session

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.

Important Dates