Evaluating Institutional Readiness and Barriers to Machine Learning Based Personalized Learning in Secondary Schools
Tuyisenge Ephrem, Rodgers Bhalalusesa & Juliana Kamaghe
The Open University of Tanzania
Email: tuyisenga@gmail.com/ rogers.balalusesa@out.ac.tz/ juliana.kamaghe@out.ac.tz
Abstract: The integration of machine learning–based personalized learning systems in secondary education offers significant potential to enhance instructional differentiation, learner monitoring, and academic support. However, adoption depends not only on technological capability but also on institutional readiness across infrastructure, human capacity, and leadership dimensions. This study evaluated institutional readiness and barriers to implementing ML-based personalized learning in secondary schools in Rwanda using a mixed-methods design. Data were collected from 200 institutional staff members across ten secondary schools representing all five provinces. Findings indicate moderate but uneven readiness. Infrastructure indicators show that 55% of schools reported functional ICT laboratories, yet only 42% reported reliable internet connectivity and 36% adequate technical maintenance support. Human capacity gaps were pronounced: while 84% of respondents rated staff digital literacy as high or moderate, only 18% reported high understanding of ML concepts and 22% expressed high confidence in using AI tools. Governance readiness was limited, with 61% reporting data protection policies but only 29% indicating the presence of an institutional AI or digital strategy, and 63% lacking regular data quality audits. Leadership openness to innovation was relatively strong (52%), yet only 33% reported strong ICT budget allocation. The most significant barriers identified were limited technical expertise (64%), insufficient funding (58%), and data privacy concerns (52%), whereas resistance to change was lower (29%). The study concludes that ML-based personalization adoption is constrained primarily by structural capacity and governance gaps rather than institutional resistance, highlighting the need for coordinated readiness strengthening across schools.
