Analyzing Users’ Interaction with Writing Feedback and Their Effects on Writing Performance WM AWE NLP

Author(s):

Jiang, Yang; Beigman Klebanov, Beata; Livne, Oren; Hao, Jiangang

Publication Year:

2023

Source:

Wang, N., Rebolledo-Mendez, G., Dimitrova, V., Matsuda, N., Santos, O.C. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2023. Communications in Computer and Information Science, vol 1831. Springer, Cham, 2023, p466-471

Document Type:

Chapter

Page Count:

6

Subject/Key Words:

Automated Feedback, Writing Mentor (WM), Automated Writing Evaluation (AWE), Automated Response Scoring, Data Analysis, Writing Quality, Natural Language Processing (NLP), Writing Performance, Artificial Intelligence

Read More

• https://doi.org/10.1007/978-3-031-36336-8_72