Lele Sha 青年编委

学术贡献

• 1、Zhao, L., Swiecki, Z., Li, Y., Sha, L., ... & Martinez-Maldonado, R. (2024). Towards Automated Transcribing and Coding of Embodied Teamwork Communication through Multimodal Learning Analytics. British Journal of Educational Technologies, 0. (accepted) Scimago journal=Q1, Impact Factor=6.6
• 2、Liu, S., Liu, S., Sha, L., Zeng, Z., Gaˇsevi´c, D., & Liu, Z. (2024). Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification. IEEE Transactions on Learning Technologies. Q1, 4.3 (accepted)
• 3、Yan, L., Sha, L., ... & Gaˇsevi´c, D. (2024). Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review. British Journal of Educational Technologies, 55(1), 90-112. Q1, 6.6
• 4、Sha, L., Gaˇsevi´c, D., & Chen, G. (2023). Lessons from debiasing data for fair and accurate predictive modeling in education. Expert Systems with Applications, 228, 120323. Q1, 9.6
• 5、Lin, J., Singh, S., Sha, L., Tan, W., Lang, D., Gaˇsevi´c, D., & Chen, G. (2022). Is it agood move? Mining effective tutoring strategies from human–human tutorial dialogues. Future Generation Computer Systems, 127, 194-207. Q1, 7.5
• 6、Sha, L., Rakovi´c, M., Das, A., Gaˇsevi´c, D., & Chen, G. (2022). Leveraging class balancing techniques to alleviate algorithmic bias for predictive tasks in education. IEEE Transactions on Learning Technologies, 15(4), 481-492. Q1, 4.3
• 7、Li, Y., Sha, L., ... & Chen, G. (2023). Can large language models write reflectively. Computers and Education: Artificial Intelligence, 4, 100140. Q1, 2.1
• 8、Sha, L., Rakovi´c, M., Lin, J., Guan, Q., Whitelock-Wainwright, A., Gaˇsevi´c, D., & Chen, G. (2022). Is the latest the greatest? A comparative study of automatic approaches for classifying educational forum posts. IEEE Transactions on LearningTechnologies, 16(3), 339-352. Q1, 4.3