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SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour

Lookup NU author(s): Dr Lei ShiORCiD



This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Springer, Cham, 2022.

For re-use rights please refer to the publisher's terms and conditions.

Publication metadata

Author(s): Li Zhaoxing, Shi Lei, Cristea Alexandra, Zhou Yunzhan, Xiao Chenghao, Pan Ziqi

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 23rd International Conference, Artificial Intelligence in Education (AIED 2022)

Year of Conference: 2022

Pages: 348-351

Print publication date: 26/07/2022

Online publication date: 29/07/2022

Acceptance date: 25/04/2022

Date deposited: 24/08/2023

ISSN: 0302-9743

Publisher: Springer, Cham


DOI: 10.1007/978-3-031-11647-6_67

ePrints DOI: 10.57711/hv16-s179

Notes: Proceedings entitled 'Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium'

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 9783031116469