Adoption of Educational Neurotechnologies: A Mixed-Methods PLS-SEM and fsQCA Approach

In the modern university, a quiet tension exists between the promise of new technology and the reality of the classroom. For years, educators have been told that tools like augmented reality, 3D modeling, and systems that track brain activity could revolutionize how students learn, making complex ideas stick and keeping attention focused. Yet, despite the excitement and the availability of these tools, many teachers struggle to use them in ways that truly change their teaching. This gap between intention and action is not simply a matter of laziness or a lack of training; it is a complex puzzle involving how people feel about their own abilities, how much support their institutions provide, and how long they have been teaching. Understanding why some teachers transform their classes while others do not requires looking beyond simple checklists of technology use to the deeper psychological and organizational forces at play.

A recent study conducted in Peru sought to untangle these forces by examining business school lecturers at private universities. The researchers were interested in a specific question: what actually happens in the mind and the workplace that allows a teacher to move from simply having access to neuro-educational tools to actually using them to reshape their teaching practice? To answer this, the team surveyed 215 lecturers, asking them about their use of technologies like virtual environments and educational robotics, their confidence in using these tools, and how resilient they felt their university was when things went wrong. They also looked at how many years each teacher had spent in the profession, testing whether experience helped or hindered the adoption of these new methods.

The results revealed a story that challenges the common assumption that more technology automatically leads to better teaching. The study found that adopting these neurotechnological strategies does have a moderate positive effect on how teachers change their methods, but this effect is substantially amplified by two hidden pathways. First, a teacher's belief in their own ability to use the technology effectively acts as a major bridge; when teachers feel confident they can operate the interfaces and solve technical problems, the tools lead to much more significant changes in the classroom. Second, the feeling that the university itself is strong and supportive—capable of absorbing failures and providing resources when needed—also plays a crucial role. Together, these two factors, personal confidence and institutional support, explain nearly three-quarters of the reason why technology adoption leads to transformed teaching. Without these supports, the technology alone has a much smaller impact.

Perhaps the most striking discovery was that the length of a teacher's career acts as a strict boundary line for success. The researchers found that the benefits of these new technologies are most potent for teachers with less than 11.4 years of experience. For these educators, the introduction of neurotechnological strategies strongly correlates with a shift toward more active, student-centered teaching. However, for teachers with more than 11.4 years of service, this positive connection is nullified. The data suggests that for veteran educators, the established routines and mental habits formed over decades create a resistance that new tools cannot easily overcome. It is not that these experienced teachers are unwilling to change, but rather that the cognitive load of integrating new, complex systems into long-held teaching patterns is too high without a fundamental redesign of their workload and support structures.

The study also used a sophisticated method to show that there is no single "right" way to achieve high levels of teaching transformation. Instead, there are multiple different combinations of conditions that can lead to the same successful outcome. Some teachers succeed because they are highly confident and use the tools, even if their institution is not particularly resilient. Others succeed because their university is incredibly supportive and provides the tools, even if their personal confidence is lower. A third group succeeds when they have high levels of both confidence and institutional support. This finding, known as equifinality, means that universities do not need to follow a single rigid formula to improve teaching; they can achieve transformation through different paths depending on the specific strengths of their staff and their organizational culture.

Ultimately, the research suggests that the future of educational innovation lies in recognizing that teachers are not a uniform group. Policies that treat all educators the same are likely to fail. For newer teachers, the priority should be building their confidence through immediate, practical support. For veteran teachers, simply handing them new technology is ineffective; instead, institutions must first reduce the administrative and cognitive burdens that prevent them from engaging with new ideas. The study concludes that while technology holds great potential, its power to transform education is not inherent in the tools themselves, but in the psychological readiness of the teacher and the structural resilience of the institution that supports them.