Journal of Management Research and Review (JMRR) · Research article · Open access
University Lecturers’ Digital Competence and Training Quality in the Context of Generative Artificial Intelligence: An Integrative Review and Proposed Impact Framework
Lý Bích Ngọc
29 October 2026 · Vol. 2, Issue 10, pp. 864-869
DOI: 10.65150/EP-jmrr/V2E10/2026-09 (registration with Crossref in progress)
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What is this article about?
Generative artificial intelligence (GenAI) is changing how university lecturers design learning environments, provide feedback, and assess students, while raising new risks related to bias, data security, and academic integrity. This study addresses four research questions concerning the components of lecturers’ digital competence, the mechanisms through which this competence influences training quality, the contextual conditions that moderate this influence, and a conceptual framework that integrates these relationships.
Article at a glance
- Published
- 29 October 2026
- Volume / issue / pages
- Vol. 2, Issue 10, pp. 864-869
- ISSN
- 3051-3588 (online) · 3051-357X (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
Generative artificial intelligence (GenAI) is changing how university lecturers design learning environments, provide feedback, and assess students, while raising new risks related to bias, data security, and academic integrity. This study addresses four research questions concerning the components of lecturers’ digital competence, the mechanisms through which this competence influences training quality, the contextual conditions that moderate this influence, and a conceptual framework that integrates these relationships. Based on a directed integrative literature review, the study identifies five competence domains: digital pedagogy; technology and data literacy; GenAI competence; digital ethics and safety; and professional learning. These competences influence training quality through six pedagogical mechanisms: learning design, interactive engagement, personalization, feedback, authentic assessment, and scaffolding for self-regulated learning. The study proposes a four-layer impact framework and recommends that higher education institutions organize professional development around authentic teaching tasks, align institutional AI governance with pedagogical goals, and evaluate training quality using evidence of student learning, cognitive engagement, equity, and assessment validity.
Keywords: Digital competence, university lecturers, training quality, generative artificial intelligence, digital pedagogy, authentic assessment.
Cite this article
Lý Bích Ngọc (2026). University Lecturers’ Digital Competence and Training Quality in the Context of Generative Artificial Intelligence: An Integrative Review and Proposed Impact Framework. Journal of Management Research and Review, 2(10), 864-869. https://www.ep-journals.org/articles/university-lecturers-digital-competence-and-training-quality-in-the-context-43b0e333
@article{L2026,
title = {University Lecturers’ Digital Competence and Training Quality in the Context of Generative Artificial Intelligence: An Integrative Review and Proposed Impact Framework},
author = {Lý Bích Ngọc},
journal = {Journal of Management Research and Review},
year = {2026},
volume = {2},
number = {10},
pages = {864-869},
url = {https://www.ep-journals.org/articles/university-lecturers-digital-competence-and-training-quality-in-the-context-43b0e333}
}Questions about this article
Who wrote this article?
Lý Bích Ngọc.
Where and when was it published?
In Journal of Management Research and Review, Volume 2, Issue 10, pages 864-869, published by EP Journals Group on 29 October 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-jmrr/V2E10/2026-09. Registration with Crossref is in progress.
How do I cite this article?
APA: Lý Bích Ngọc (2026). University Lecturers’ Digital Competence and Training Quality in the Context of Generative Artificial Intelligence: An Integrative Review and Proposed Impact Framework. Journal of Management Research and Review, 2(10), 864-869. https://www.ep-journals.org/articles/university-lecturers-digital-competence-and-training-quality-in-the-context-43b0e333
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