Cited by 22Artificial Intelligence in EducationManagement and Marketing EducationSustainability in Higher Education

How can we improve AI competencies for tomorrow’s leaders: Insights from multi-stakeholders’ interaction

Gupta, Shashank, Jaiswal, Rachana·2024·The International Journal of Management Education

Integrity signals

Registry

Crossref · 10.1016/j.ijme.2024.101070

Cites

144 of 144 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

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  • Faculty-student collaboration reflects a shift towards co-constructive educational practices, where students are active participants in shaping AI integration.

    “Faculty-student collaboration reflects a shift towards co-constructive educational practices, where students are not merely recipients but active participants in shaping how AI tools are integrated into their learning environments (Cacho, 2024; Gupta & Jaiswal, 2024; Jayasinghe et al., 2025; Mariyam & Karthika, 2025).”

Cites

1 retracted

Flagged first, then by citations

2 of the 146 references couldn’t be matched to a known paper.

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Authors
Gupta, S., & Jaiswal, R.
Affiliations
Hemwati Nandan Bahuguna Garhwal University (IN)
Corresponding author
Jaiswal, Rachana
Venue
The International Journal of Management Education
Publisher
Elsevier BV
Published
2024-11
Volume
22
Issue
3
Pages
101070
ISSN
1472-8117 (ISSN-L)
OpenAlex
W4403463938
Cited by
22
References
146
Citations by year
2026: 11 · 2025: 11
FWCI
8.30
Type
journal article
Language
en
Open access
closed
Locations
The International Journal of Management Education (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Management and Marketing Education
  • Social Sciences › Education › Sustainability in Higher Education
Keywords
AI competencies, artificial intelligence in education, higher education for sustainable development, cooperative learning, problem solving, cognitive skills, self-learning, AI curriculum design, ethical AI, interdisciplinary collaboration, management education, leadership development, Indian universities

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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