Call for Participation
BEA 2023 Shared Task: Generating AI Teacher Responses in Educational Dialogues
https://sig-edu.org/sharedtask/2023
SHARED TASK DESCRIPTION
Conversational agents offer promising opportunities for education. They can fulfill various roles (e.g., intelligent tutors and service-oriented assistants) and pursue different objectives (e.g., improving student skills and increasing instructional efficiency) (Wollny et al. 2021). Among all of these different vocations of an educational chatbot, the most prevalent one is the AI teacher helping a student with skill improvement and providing more opportunities to practice. Some recent meta-analyses have even reported a significant effect of chatbots on skill improvement, for example in language learning (Bibauw et al. 2022). What is more, current advances in AI and natural language processing have led to the development of conversational agents that are founded on more powerful generative language models.PARTICIPATION
The shared task is hosted on CodaLab (Pavao et al. 2022). Anyone participating in the shared task will be asked to:IMPORTANT DATES
Fri Mar 24, 2023 Training data release
Mon May 1, 2023 Test data release
Fri May 5, 2023 Final submissions due
Mon May 8, 2023 Results announced
Fri May 12, 2023 Human evaluation results announced
Mon May 22, 2023 System papers due
Fri May 26, 2023 Paper reviews returned
Tue May 30, 2023 Camera-ready papers due
Mon June 12, 2023 Pre-recorded video due
July 13, 2023 BEA Workshop at ACL
ORGANIZERS
Anaïs Tack, KU Leuven; Ekaterina Kochmar, MBZUAI; Zheng Yuan, King’s College London; Serge Bibauw, Universidad Central del Ecuador; Chris Piech, Stanford University
Webpage: https://sig-edu.org/sharedtask/2023