See highlights of our latest work using cutting-edge advances in natural language processing (NLP) to detect the rich ideas that students develop during everyday experience and provide adaptive guidance that gets each student started on reconsidering their own ideas, considering their peers’ ideas, and developing more coherent explanations for complex scientific phenomena.
At the 2022 NSF STEM for All Video Showcase, we present early work from our from our NLP-TIPS project, a collaboration that continues our successful collaboration with ETS. Our new idea detection technology adapts to each student’s cultural and linguistic entry points into a topic, using the ideas detected in student responses to design adaptive, interactive guidance.
Our video illustrates how this technology empowers students to use their ideas as a starting point for deepening science understanding.
Let us know your thoughts and send us questions using the public discussion forum. You can also vote for our video as a Public or Presenter’s Choice! We look forward to hearing from you.