AI-Driven Decision Support Systems for Strategic Business Management and Sustainable Growth
DOI:
https://doi.org/10.71086/IAJH/V13I3/IAJH1312Keywords:
Personalized Learning, Adaptive Learning, Artificial Intelligence in Education, Sustainable Educational Development, Intelligent Tutoring Systems, Teacher Agency, Ethical AI Governance, Educational Equity.Abstract
The global effort towards achieving SDG 4 requires educational systems to address learners’ needs, while ensuring sustainable equity and quality of education. Artificial intelligence becomes a credible tool in this regard – adaptive learning and intelligent tutoring systems have proven their ability to customize learning experience according to learners’ profiles. Yet the evidence of whether these systems can sustain the results achieved is scarce – it is limited to short-cycle cognitive performance improvements, sensitive to implementation context, and almost never related to the sustainability literature that frames education as a long-term development issue. This paper introduces the AI-Enabled Personalized Learning for Sustainable Educational Development model, consisting of four interconnected layers: multi-dimensional learner modelling; adaptive instructional sequencing; human-in-the-loop teacher orchestration with the ability to review and override decisions; and sustainability governance layer, covering issues of ethics, equity, data rights, and monitoring and regulation. The core of the model posits that personalization of learning process is beneficial in terms of sustainability of educational effects only when teacher agency and governance are considered as design layers, not as implementation components, since teachers’ trust determines adoption, and ethical considerations determine acceptability. This paper develops a protocol for validating the model that is designed by integrating design-based research, comparison with quasi-experiment, equity and ethics audit, and teacher capacity measurement through triangulation and defines evaluation criteria such as achievement, engagement and retention, equity, teacher agency and trust, ethical compliance, and institutional sustainability. The new perspective on personalization considers personalization as a governance and teacher-mediated capacity with its sustainability as an institution’s accomplishment.
