Sustainable Leadership Drives Student Engagement in Smart Universities, Study Finds

As universities worldwide race to embed artificial intelligence, adaptive platforms, and data-driven teaching into everyday learning, a new study suggests that the decisive factor is not the technology itself but the leadership culture surrounding it. Research published in SN Social Sciences by Seyedeh Fatemeh Kalantarzadeh Tezerjany and Cordelia Mason of the Business School at Universiti Kuala Lumpur examines how sustainable leadership and gender inclusion shape equity and innovation in smart learning environments in higher education. Their findings, based on survey data from students and lecturers analysed with SPSS and SmartPLS, offer a statistically grounded answer to a question that has preoccupied administrators since the pandemic accelerated digital transformation: what actually makes technology-enhanced learning work?

The study is anchored in Diffusion of Innovations theory, the classic framework developed to explain how new ideas and technologies spread through social systems. Rather than treating adoption as a purely individual decision, the authors extend the theory to the institutional level, asking how organisational learning and sustainable leadership condition the uptake of AI learning tools, technology-enhanced pedagogy, and digital literacy practices. This is a notable theoretical move. Most diffusion research focuses on the adopter, but in universities the environment in which students and staff encounter innovation is deliberately constructed by leaders who allocate resources, set priorities, and model behaviour over long time horizons.

Sustainable leadership, in this context, refers to a style of educational management that goes beyond short-term project wins. Drawing on a growing body of literature, the authors frame it as leadership that protects and renews the human, financial, and knowledge resources of an institution so that improvements endure after the champions of a reform move on. In practice, that means sustained investment in continuous professional development, knowledge-sharing mechanisms between staff, and organisational learning routines that convert individual expertise into collective capability. The study’s central claim is that these practices are significantly associated with higher levels of student engagement when learning moves into smart, technology-rich environments.

The numbers behind that claim are striking. Using partial least squares structural equation modelling, the researchers found that sustainable leadership was significantly associated with student engagement, with a path coefficient of 0.405 and a p-value below 0.001, indicating a relationship very unlikely to be due to chance. Even more telling is the explanatory power of the overall model. The constructs in the study accounted for 51.2 percent of the variance in sustainable leadership and 65.4 percent of the variance in student engagement. In social science research, where models explaining a quarter of the variance are often considered respectable, an R-squared of 0.654 for engagement is unusually high and suggests that the framework captures much of what drives students’ involvement in digitally transformed courses.

Yet the study also delivers a sobering result on the equity front. The authors hypothesised that gender inclusion would moderate the relationship between sustainable leadership and student engagement, amplifying the benefits of good leadership for students of all genders. The data did not support this. The moderation effect was not statistically significant, with a coefficient of 0.056 and a p-value of 0.136. In plain terms, gender inclusion, at least as measured in this study, did not change the strength of the link between leadership and engagement. The finding does not mean gender equity is irrelevant; rather, it suggests that the mechanisms connecting leadership to engagement may operate similarly across genders, or that inclusion initiatives have not yet matured to the point where they alter the engagement equation.

That null result sits within a broader and sometimes uncomfortable literature on gender in higher education. Recent scholarship has documented persistent digital gender gaps in knowledge, attitudes, and skills across dozens of countries, alongside well-documented resistance to gender mainstreaming policies in universities. Studies of gender equality plans have described how power dynamics and institutional logics can hollow out well-intentioned reforms, a phenomenon some researchers have labelled genderwashing in leadership. Against this backdrop, the finding that gender inclusion did not significantly moderate engagement outcomes invites a careful reading: formal inclusion commitments may be necessary but not sufficient, and their effects may be indirect, working through the leadership and organisational learning conditions that the study identifies as central.

The methodological approach deserves attention for readers wondering how such conclusions are reached. A structured questionnaire was distributed to students and lecturers, and the responses were processed in two complementary tools: SPSS for conventional statistical analysis and SmartPLS for partial least squares structural equation modelling, a technique well suited to testing relationships among latent constructs such as leadership, engagement, and digital literacy that cannot be observed directly. The authors report that participants gave informed consent, that data were anonymised, and that the study received ethics approval from Universiti Kuala Lumpur in accordance with the Declaration of Helsinki. The quantitative data are not publicly available but can be requested from the corresponding author.

What elevates the study beyond a single institutional snapshot is the breadth of the framework it assembles. The authors integrate AI learning innovation, technology-enhanced pedagogy, educator competency, digital literacy, and student adaptability within a single model, and they position organisational learning and sustainable leadership as the institutional engines of digital transformation. This integration matters because these elements are usually studied in isolation. Educator competency research tends to focus on training; adaptability research tends to focus on student psychology; AI adoption studies tend to focus on the technology. By linking them, the study implies that engagement in smart learning environments is a systemic property: capable, digitally literate educators and adaptable students thrive when leadership sustains the conditions for both.

The practical implications for university leaders are concrete. The authors argue that institutions should strengthen sustainable leadership and organisational learning practices to support the effective integration of digital technologies. That translates into leadership support for staff experimenting with AI educational tools, formal knowledge-sharing mechanisms so that successful teaching innovations spread beyond a single classroom, and continuous professional development that keeps educator competency ahead of the technology curve. The emphasis on durability is deliberate: a pilot project that collapses when its sponsor leaves, or an AI platform adopted without training, fails precisely because the surrounding leadership system was not built to sustain it.

For the wider debate about equity and innovation in higher education, the study offers a nuanced message. Innovation adoption in universities is not a race to buy the newest tools; it is a diffusion process whose speed and fairness depend on institutional structures. Sustainable leadership emerges as the strongest lever for student engagement, while gender inclusion requires deeper embedding than policy statements alone can achieve. As universities continue their digital transformation, the research suggests that the smartest investment may not be in smarter technology but in the leadership and learning cultures that determine whether that technology actually reaches, and engages, every student.

Subject of Research: Sustainable leadership, gender inclusion, and student engagement in technology-enhanced higher education

Article Title: Bridging equity and innovation: Sustainable leadership and gender inclusion in smart learning environments

Article References: Tezerjany, S. F. K., & Mason, C. (2026). Bridging equity and innovation: Sustainable leadership and gender inclusion in smart learning environments. SN Social Sciences, 6(10), Article 477. https://doi.org/10.1007/s43545-026-01726-9

Image Credits: AI Generated

DOI: 10.1007/s43545-026-01726-9

Keywords: sustainable leadership, gender inclusion, smart learning environments, student engagement, higher education, digital transformation, Diffusion of Innovations theory, organisational learning, PLS-SEM, AI educational tools, digital literacy, educator competency