ADHO 2024 Workshop: Teaching Machine Learning in the Digital Humanities - Lightening Talk proposal - Due June 10
We seek proposals from instructors, researchers, librarians, and students who have experience teaching ML to humanities audiences. We welcome presentations on a wide range of topics related to teaching ML in the humanities, including:
  • Effective teaching strategies: How can we best teach ML to humanists with diverse backgrounds and interests? What are the most effective ways to introduce the technical concepts of ML without overwhelming students?

  • Pedagogical resources: What resources are available for teaching ML to humanists? What are the strengths and weaknesses of different resources? How can we develop new resources that meet the needs of humanities scholars?

  • Assessment: How can we assess student learning in ML courses? What are the challenges of assessing students' understanding of technical concepts and their ability to apply ML methods to their research?

  • Ethics and responsible AI: How can we teach ML in a way that emphasizes the ethical implications of this technology? How can we help students to develop a critical understanding of the biases and limitations of ML?

Sign in to Google to save your progress. Learn more
Name, role, institutional affiliation
If submitting on behalf of a group, please list names, roles, and affiliations of collaborator(s)
If accepted, would you give your lightening talk in person or remotely?
Experience teaching ML to humanists *
Title of lightening talk
Description of the lightning talk, including the main points that will be covered (no more than 250 words) *
Clear form
Never submit passwords through Google Forms.
This form was created inside of Princeton University Google Apps. Report Abuse