This project supports students’ writing of science explanations. One main goal is to develop novel, automated natural language processing (NLP) technology to provide middle school students and teachers with real-time feedback on their science essays, to help them reflect on the quality of their explanations, and to foster their ability to write scientific explanations grounded in scientific evidence. A science unit on roller coasters is presented to students in a web-based environment that includes a roller coaster simulation to conduct experiments. Students respond in writing to open-ended questions about the physics of roller coasters, and write two short essays. Essay feedback is provided in the form of a checklist of main ideas. We also apply NLP methods to assess students’ answers to science questions to facilitate researchers' analysis of students' overall performance in writing about science.
Supporting Science Learning and Teaching in Middle School Classrooms Through Automated Analysis of Students' Writing (Collaborative Research: Passonneau)
Download Original:
Principal Investigator:
Discipline/Topic:
Target Audience: