Work

Stakeholder engagement and strategic innovation in higher education through AI competency

Year: 2025

Type: article

Abstract: This research answers the following question: How do the competencies and attitudes of university faculty toward artificial intelligence (AI) impact student learning? Using human capital theory and stakeholder theory, this research highlights the importance of university faculty. The research uses an adaptation of a digital competence framework specifically for AI competence. A total of 105 responses from professors in business studies (e.g., entrepreneurship, strategy, finance, and marketing) were collected from university faculty. Four hypotheses were proposed, two of which were confirmed. Professors' ability to leverage AI for feedback, assessment, and pedagogy is linked to their commitment to enhancing student learning. Professors' attitudes toward the use of AI, data governance, and ethical considerations are also associated with their focus on improving student learning. The study finds that faculty AI competence can enhance institutional effectiveness. Educators are a crucial resource for higher education institutions. Equipping them with the necessary skills for the effective use of AI can enhance both institutional capacity and pedagogical innovation.

Source: Journal of Innovation & Knowledge

DOI: 10.1016/j.jik.2025.100920

Authors: Margarita Núñez-Canal, María de las Mercedes de Obesso Arias, Carlos Alberto Pérez-Rivero, Ignacio Álvarez-de-Mon

Institutions: Universidad Nebrija, Universidad Complutense de Madrid, ESIC University, IE University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $2,200