Machine Learning and Grammar Instruction: The Case of German Nominal Gender

Language learners often struggle with particular grammar topics, but with limited instructional time, sometimes these topics do not receive in-depth attention in the classroom. One example of this phenomenon is the gender of German nouns. This presentation showcases a software solution that supplies the reasoning behind the gender of German nouns, aiming to help learners understand the underlying rules. The presentation will highlight the program’s potential for assisting students with background knowledge, and will emphasize that AI solutions extend beyond ChatGPT, offering innovative solutions to language learning challenges.

  • Presenter: Simon Zuberek, Senior educational technologist at Columbia LRC
  • Date: Thursday, March 7, 2024
  • Time: 12:00pm PT / 1:00pm MT / 2:00pm CT / 3:00pm ET
  • Webinar Duration – 1 hour

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