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The Department of Science Teaching
Weizmann Institute of Science
The Department of Science Teaching
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  2. Research and Development
  3. Computational approaches in Science Education
  4. Projects
  5. Applications of Hebrew NLP to Formative Assessment of Open-ended Questions

Applications of Hebrew NLP to Formative Assessment of Open-ended Questions

  • General background
  • Chemistry
  • Computational approaches in Science Education
    • About
    • Staff
    • Projects
  • Computer Science
  • Earth Science
  • Interdisciplinary Science Education
  • Life Sciences
  • Mathematics
  • Physics
  • Science & Technology for Junior High School
  • Ethics committee

Leading team:

  • Dr. Giora Alexandron
  • Dr. Moriah Ariely
  • Tanya Nazaretsky
  • Avigail Schleifer

Project team:

  • Dr. Cippora Hofman

Brief

Formative feedback on scientific explanation can improve the ability of students to organize and express their knowledge in a clear and persuasive manner. However, teachers are rarely able to provide timely and personalized feedback.

Recent advances in Natural Language Processing (NLP)  show great potential in regards to the analysis of educational texts. Our work focuses on leveraging such technologies in order to develop algorithms and tools that can assist teachers in assessing and providing feedback on open-ended questions in scientific domains.

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