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Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study

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, 2021.

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

Publication metadata

Author(s): Drousiotis Efthyvoulos, Pentaliotis Panagiotis, Shi Lei, Cristea Alexandra

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Artificial Intelligence in Education: 22nd International Conference, AIED 2021

Year of Conference: 2021

Pages: 139-144

Print publication date: 12/06/2021

Online publication date: 12/06/2021

Acceptance date: 05/04/2021

Date deposited: 24/08/2023

ISSN: 0302-9743

Publisher: Springer


DOI: 10.1007/978-3-030-78270-2_25

Notes: 9783030782702 Ebook ISBN.

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 9783030782696