2nd Workshop on Educational Data Mining in Writing and Literacy Instruction
Year: 2025
Type: conference-paper
Abstract: The rapid advancement of technologies like generative AI presents both challenges and opportunities for writing and literacy education. Issues such as detecting AI-generated text and ensuring student data privacy are growing concerns, while AI-driven tools for automated essay scoring, personalized instruction, and feedback generation offer promising opportunities. Effectively addressing these challenges and leveraging AI's potential is crucial for shaping the future of writing education within the EDM community. This workshop will explore the latest research and applications in writing and literacy education, and it will provide a platform for discussion and knowledge exchange. As part of the workshop we will introduce our developed platform design to support ethical management, real-time data collection, and analysis of student writing. Through paper presentations and an interactive tutorial session, participants will gain valuable insights, foster collaborations, and contribute to the responsible integration of AI in writing education.
Authors: Collin Lynch, Paul Deane, Piotr Mitros, Zhikai Gao, Damilola Babalola
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6949608154
FWCI:
Cites:
Cited by:
Related to: