Skip to main content

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

.blurhash-client-img { display: none !important; }

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

Download Article

Download the full article as a PDF file.

Articles in this issue

DOI: https://doi.org/10.2478/mmcks-2023-0017 | Journal eISSN: 2069-8887 | Journal ISSN: 1842-0206

Journal RSS Feed

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)