Skip to content

AI readiness and digital pedagogical competence as enablers of innovations in environmental management within higher education institutions: evidence from Vietnam

Oct 2026 · International Journal of Sustainability in Higher Education · 0 citations · 58 references
Sustainability in Higher Education

Abstract

This study aims to examine how artificial intelligence (AI) readiness and digital pedagogical competence (DPC) are associated with lecturers’ perceptions of digital environmental governance innovation (DEGI) and perceived environmental performance in higher education institutions (HEIs). Moving beyond isolated green technologies, the study adopts a governance-oriented perspective to explain how individual digital capabilities among academic staff are linked to perceived sustainability-related outcomes through digitally enabled environmental governance innovation. The study uses a quantitative research design using survey data collected from 1,525 academic staff working in Vietnamese HEIs. Partial least squares structural equation modelling was used to test the proposed capability–governance–perception framework and to examine both direct and indirect relationships among the constructs. The findings indicate that AI readiness (artificial intelligence readiness) is positively associated with DPC and lecturers’ perceptions of DEGI. DPC is also positively associated with governance innovation. Most importantly, lecturers’ perceptions of DEGI are strongly associated with perceived environmental performance and indicate a statistically significant indirect association between AIR and perceived environmental outcomes within the specified model. This study is based on cross-sectional, self-reported survey data from a single national context, which limits causal inference and statistical generalisability. The findings should therefore be interpreted as perception-based associations rather than evidence of objectively measured institutional environmental improvement. Future research could adopt longitudinal, comparative, multi-source or objective-indicator designs. The findings suggest that HEIs should move beyond technology adoption alone and invest in human digital capabilities, sustainability dashboards, environmental data reporting systems and governance structures. Strengthening AIR and DPC among academic staff may support digitally mediated governance innovations for environmental management. By highlighting governance innovation as a perception-based pathway linking digital capabilities to perceived environmental performance, this study offers insights for HEIs seeking to strengthen their sustainability responsibilities. Digitally enabled environmental governance may support broader sustainability transitions, provided it is embedded within accountable institutional practices. This study offers empirical evidence linking individual digital capabilities to perceived environmental management outcomes in higher education through governance innovation. It extends sustainability and digital transformation research by positioning AIR and DPC as enablers of perceived digitally driven environmental governance, particularly within a Global South context.

View source

Similar papers

#artificial intelligence Conference Open access Jun 2018

Gibson Env: Real-World Perception for Embodied Agents

This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.

F. Xia, Amir Zamir, Zhi-Yang He et al. · 1,069 citations · ⚡112
#artificial intelligence Open access May 2023

Evaluating the Performance of Large Language Models on GAOKAO Benchmark

GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...

Xiaotian Zhang, Chun-yan Li, Yi Zong et al. · 216 citations · ⚡17

KTO: Model Alignment as Prospect Theoretic Optimization

This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.

Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff et al. · 195 citations · ⚡28
#artificial intelligence Open access Jul 2024

Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval

This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.

Kyra Wilson, Aylin Caliskan · 131 citations · ⚡8
#artificial intelligence Review Nov 2024

How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits

This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...

Masoud Mohseni, Artur Scherer, K. Johnson et al. · 121 citations · ⚡9

Related blog posts

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.