The Sixth Workshop on Teaching NLP will be co-located with the 2024 Annual Meeting of the Association for Computational Linguistics in Bangkok, Thailand. The workshop will occur on August 15 (hybrid option available).

The one-day workshop will combine a program of traditional keynotes, posters, and oral presentations, with discourse through panel discussion, and focus on building a community for sharing resources.

Call for Papers

The field of Natural Language Processing (NLP) is growing rapidly, with new state-of-the-art methods emerging every year. This rapid growth challenges educators of NLP courses and degree programs to constantly revise their old material and create fresh NLP courses and degree programs, as well as new best practices and educational materials focused on emerging subareas of NLP. To support those facing these challenges, our one-day workshop will bring together the communities of NLP research and education to facilitate active discussion on questions including (but not limited to):

How can we facilitate meaningful conversations about language among Computer Science students?
How do we include user-centered design in core NLP curricula?
How should NLP educators design curricula that equip students with the ability to advance responsible and ethical NLP?
How can we design assignments that require GPU access or the use of paid APIs?
What are best practices that NLP educators from universities, industry groups, and Massive OpenOnline Courses (MOOCs) can use to share tools and resources for NLP education?

This timely sixth edition of the Teaching NLP Workshop builds on prior successful offerings to tackle the most pressing issues in how to design NLP courses and bring together instructors from various backgrounds to discuss, create, and refine instructional design and material.

Submission Information

We welcome two submission types: teaching materials and papers

Teaching Materials (short papers)

We invite short paper submissions (up to 2 pages, excluding references) that describe teaching materials such as curricula, course GitHub repositories, Jupyter notebooks, slides, homework, and assignments. These short papers will also be peer-reviewed and published in workshop proceedings, as well as presented in posters or demos. The corresponding teaching materials, while not being part of proceedings, should be submitted in addition to the short paper. We will create a Teaching NLP repository/wiki where authors may opt-in to make their materials available for the community after the workshop.

Papers

We invite papers of up to 8 pages discussing pedagogical aspects of NLP, focusing on (but not limited to) any of the following general topics:

Tools and methodologies (e.g., active learning, flipped classroom)
Scaling curricula to fit large class sizes
Adapting existing curricula to incorporate new NLP advancements
Teaching online NLP courses or adjusting courses to become remote
Challenges of designing the first NLP course or related degree program at a college, university, or on a MOOC platform
Teaching heterogenous groups of students (e.g., with respect to prior experience in computer science and linguistics)
Teaching underrepresented students
Bridging the gap between academic training and industry needs
Incorporating ethics, reproducibility, and responsible practices in NLP courses
Teaching multilingual NLP