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Session Type: Structured Poster Session
Written science explanations are a key science practice that can help students to understand how scientists create and share scientific knowledge. However, students struggle in their science writing and given the time-consuming nature of generating quality feedback, teachers find it challenging to provide comprehensive and individualized support in a timely manner. NLP technologies have the power to provide personalized automated feedback that can not only help students write better, but also allow teachers to assist students that need extra support. This session will explore aspects of how automated assessments can be strategically and ethically utilized to support students’ writing in classroom contexts.
Sadhana Puntambekar, University of Wisconsin - Madison
Indrani Dey, University of Wisconsin - Madison
How Automated Feedback Supported Students' Written Science Explanations (Poster 1) - Indrani Dey, University of Wisconsin - Madison; Dana Gnesdilow, University of Wisconsin - Madison; Sadhana Puntambekar, University of Wisconsin - Madison; Rebecca J. Passonneau, Pennsylvania State University
Designing Adaptive Dialogues in Inquiry Learning Environments to Promote Science Explanations (Poster 2) - Libby F. Gerard, University of California - Berkeley; Allison Bradford, University of California - Berkeley; Kenneth Steimel, Educational Testing Service; Brian Riordan, Cisco
Validity Issues of Teachers' Interpretation and Use of Automatic Scores (Poster 3) - Xiaoming Zhai, University of Georgia; Xinyu He, University of Georgia; Holly Kennedy Amerman, University of Georgia; Sahrish Panjwani, University of Georgia
Automated Feedback on Science Writing: From Design Intention to Enactment and Reflection (Poster 4) - ChanMin Kim, Pennsylvania State University; Indrani Dey, University of Wisconsin - Madison; Dana Gnesdilow, University of Wisconsin - Madison; Eunseo Lee, Pennsylvania State University; Sadhana Puntambekar, University of Wisconsin - Madison; Rebecca J. Passonneau, Pennsylvania State University
Evaluation of Automated Scoring Methods for Students' Claim, Evidence, and Reasoning Responses in Science (Poster 5) - Haiying Li, University of Pennsylvania; Amy Elise Adair, Rutgers University; Grace Li; Rachel F. Dickler, Denver Zoo; Janice D Gobert, Rutgers University
A Teacher's Perspective: Using Automated Feedback in Science Classrooms (Poster 6) - Jessica North, Waunakee Community School District