The 2nd Workshop on Educational Data Mining in Writing and Literacy Instruction offers a unique platform for educators, researchers, and practitioners to delve into the transformative potential of data-driven approaches in enhancing writing and literacy education. As AI and technology continue to reshape the landscape of teaching and learning, this workshop aims to explore how educational data mining techniques can revolutionize writing instruction, foster literacy development, and empower educators with actionable insights.

In this workshop, we will discuss the state-of-the-art research and application of writing and literacy education. Moreover, during a tutorial session, we will introduce a prototype platform we are currently developing to support ethical students' writing and learning data management.  We believe both the paper presentation and the tutorial session in our workshop could benefit us and the participants through learning opportunities and potential collaboration.

Submission Guidelines

We invite you to submit your original work for presentation and discussion. All papers should be formatted according to the EDM template and carefully blinded for review. There will be two types of submissions:

• Research Papers (up to 6 pages): Original, substantive, mature, and unpublished research work addressing any of the above topics.

• Work-in-progress Report (up to 6 pages): Original, unpublished work-in-progress (incomplete or ongoing work, ready for feedback, but not yet fully developed).

Note: references do not count towards the page limit. Authors can also include appendices to more clearly describe datasets and tools if necessary, and these do not count toward the page limit.

Committees

Organizing Committee

• Dr. Collin Lynch      
• Dr. Paul D. Deane
• Dr. Piotr Mitros
• Zhikai Gao
• Damilola Babalola

Contact

All questions about submissions should be emailed to Dr. Collin Lynch<cflynch@ncsu.edu>