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Student engagement and academic performance in pandemic-driven online teaching: An exploratory and machine learning approach Cover

Student engagement and academic performance in pandemic-driven online teaching: An exploratory and machine learning approach

Management & Marketing
Volume 18 (2023): Issue s1 (December 2023)
By: Emilia Mioara Campeanu,  Iustina Alina Boitan and  Dan Gabriel Anghel  
Open Access
|Dec 2023
Authors

Authors

Emilia Mioara Campeanu

emilia.campeanu@fin.ase.ro

Bucharest University of Economic Studies, Bucharest, Romania

Iustina Alina Boitan

Bucharest University of Economic Studies, Bucharest, Romania

Dan Gabriel Anghel

Bucharest University of Economic Studies, Institute for Economic Forecasting, Romanian Academy, Romania
DOI: https://doi.org/10.2478/mmcks-2023-0017 | Journal eISSN: 2069-8887 | Journal ISSN: 1842-0206
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Language: English
Page range: 315 - 339
Published on: Dec 18, 2023
Published by: Society for Business Excellence
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
student engagement,
academic achievement,
remote education,
linear regression,
machine learning
Related subjects:
Business and economics,
Business management,
Marketing, sales, customer relations,
Management, organization, corporate governance,
Business development, change management, cooperation,
Entrepreneurship

© 2023 Emilia Mioara Campeanu, Iustina Alina Boitan, Dan Gabriel Anghel, published by Society for Business Excellence
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 18 (2023): Issue s1 (December 2023)
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