Knowledge Distillation of LLM for Automatic Scoring of Science Education Assessments

Ghiassi, M., Olschimke, M., Moon, B., Arnaudo, P.: Automated text classification using a dynamic artificial neural network model. Expert Systems with Applications 39

2012

Earlier work this paper cites.

Hinton, G., Vinyals, O., Dean, J., et al.: Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)

Original

2015

Earlier work this paper cites.

Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)

Original

2018

Earlier work this paper cites.

Jiao, X., Yin, Y., Shang, L., Jiang, X., Chen, X., Li, L., Wang, F., Liu, Q.: Tinybert: Distilling bert for natural language understanding. arXiv preprint arXiv:1909.10351 (2019)

Original

2019

Earlier work this paper cites.

Selwyn, N.: Should robots replace teachers?: AI and the future of education. John Wiley & Sons (2019)

2019

Earlier work this paper cites.

Zhai, X., Yin, Y., Pellegrino, J.W., Haudek, K.C., Shi, L.: Applying machine learning in science assessment: a systematic review. Studies in Science Education 56

2020

Cited alongside, same era.

González-Calatayud, V., Prendes-Espinosa, P., Roig-Vila, R.: Artificial intelligence for student assessment: A systematic review. Applied Sciences 11

2021

Cited alongside, same era.

Zhai, X., Chu, X., Chai, C.S., Jong, M.S.Y., Istenic, A., Spector, M., Liu, J.B., Yuan, J., Li, Y.: A review of artificial intelligence (ai) in education from 2010 to 2020. Complexity 2021

2021

Cited alongside, same era.

Holmes, W., Tuomi, I.: State of the art and practice in ai in education. European Journal of Education 57

2022

Cited alongside, same era.

Zhai, X.: Chatgpt user experience: Implications for education. Available at SSRN 4312418 (2022)

2022

Zhai, X., He, P., Krajcik, J.: Applying machine learning to automatically assess scientific models. Journal of Research in Science Teaching 59

2022

Later among the works it cites.

ETS-MTS, T.: Learning progression-based and ngss-aligned formative assessment for using mathematical thinking in science. http://ets-cls.org/mts/index.php/assessment/ (November, 2023)

2023

Closest in time.

Liu, Z., He, X., Liu, L., Liu, T., Zhai, X.: Context matters: A strategy to pre-train language model for science education. arXiv preprint arXiv:2301.12031 (2023)

Original

2023

Closest in time.

Latif, E., Zhai, X.: Fine-tuning chatgpt for automatic scoring. Computers and Education: Artificial Intelligence p. 100210 (2024)

2024

Closest in time.