Abstract
In principle, educators can use writing to scaffold students’ understanding of increasingly complex science ideas. In practice, formative assessment of students’ science writing is very labor intensive. We present PyrEval+CR, an automated tool for formative assessment of middle school students’ science essays. It identifies each idea in a student’s science essay, and its importance in the curriculum.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
PyrEval+CR is available at https://github.com/psunlpgroup/PyrEvalv2.
References
Ariely, M., Nazaretsky, T., Alexandron, G.: Machine learning and Hebrew NLP for automated assessment of open-ended questions in biology. Int. J. Artif. Intell. Educ. 22 (2022). https://doi.org/10.1007/s40593-021-00283-x
Arora, S., Liang, Y., Ma, T.: A simple but tough-to-beat baseline for sentence embeddings. In: International Conference on Learning Representations (2016)
Gao, Y., Sun, C., Passonneau, R.J.: Automated pyramid summarization evaluation. In: Proceedings of the 23rd CoNLL, pp. 404–418 (2019). https://doi.org/10.18653/v1/K19-1038
Gerard, L., Kidron, A., Linn, M.C.: Guiding collaborative revision of science explanations. Int. J. Comput. Support. Collab. Learn. 14(3), 291–324 (2019). https://doi.org/10.1007/s11412-019-09298-y
Guo, W., Diab, M.: Modeling sentences in the latent space. In: Proceedings of the 50th ACL, pp. 864–872 (July 2012). https://aclanthology.org/P12-1091
Ha, M., Nehm, R.H., Urban-Lurain, M., Merrill, J.E.: Applying computerized-scoring models of written biological explanations across courses and colleges: prospects and limitations. CBE-Life Sci. Educ. 10(4), 379–393 (2011)
Haudek, K.C., et al.: Using automated analysis to assess middle school students’ competence with scientific argumentation. In: National Conference on Measurement in Education, Toronto, ON (2019)
Pennington, J., Socher, R., Manning, C.: GloVe: global vectors for word representation. In: Proceedings of the 2014 EMNLP, pp. 1532–1543 (2014). https://doi.org/10.3115/v1/D14-1162
Singh, P., et al.: Design of real-time scaffolding of middle school science writing using automated techniques. In: 2022 ISLS (November 2022)
Tansomboon, C., Gerard, L.F., Vitale, J.M., Linn, M.: Designing automated guidance to promote productive revision of science explanations. Int. J. Artif. Intell. Educ. 27(4), 729–757 (2017). https://doi.org/10.1007/s40593-017-0145-0
Acknowledgements
NSF DRK12 2010351 and 2010483 funded this work.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Singh, P., Passonneau, R.J., Wasih, M., Cang, X., Kim, C., Puntambekar, S. (2022). Automated Support to Scaffold Students’ Written Explanations in Science. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2022. Lecture Notes in Computer Science, vol 13355. Springer, Cham. https://doi.org/10.1007/978-3-031-11644-5_64
Download citation
DOI: https://doi.org/10.1007/978-3-031-11644-5_64
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-11643-8
Online ISBN: 978-3-031-11644-5
eBook Packages: Computer ScienceComputer Science (R0)