Abstract
Introduction: Cognitive governance, as an interdisciplinary approach, seeks to align the decision-making, learning, and information-processing mechanisms in educational institutions with the findings of cognitive science.
Methods: The present study aimed to explore the categories and concepts of cognitive governance in educational institutions. This study was conducted within the framework of an interpretive paradigm, with a qualitative approach and a data-driven theory-method using the Glaserian approach. Data were collected through semi-structured interviews with 20 experts in the fields of governance, cognitive science, and education, using purposive and theoretical sampling. Data analysis was conducted in three stages: Open, axial, and theoretical coding, yielding 1,040 primary codes, 36 intermediate concepts, and 8 theoretical categories. Participants reviewed, peers reviewed, and a second researcher recoded to ensure the analysis’s validity. The agreement coefficient between the two coders was 0.79.
Results: The findings reveals that cognitive governance consists of 8 categories and 36 concepts. Cognitive ethics, cognitive justice, cognitive technology, cognitive self-organization, cognitive network governance, cognitive leadership and management, cognitive decision-making and problem solving, and cognitive policy-making constitute the categories of cognitive governance. In this model, cognitive policy-making, grounded cognitive ethics and justice, enables the design of technology-based, and self-organizing learning systems and leads to cognitive management and effective decision-making in educational institutions through network governance.
Conclusion: The final model presented provides a basis for redesigning educational policies in line with learners’ mental mechanisms.
Type of Study:
Research |
Received: 2025/07/3 | Accepted: 2025/11/9 | Published: 2025/11/25