Restoring Instructional Agency in the Generative AI Era
A faculty-led, offline-first platform for translating computing curricula into clearer assessments, stronger evidence flows, and more confident instructional decisions.
What is CBC-Logic Studio?
The CBC-Logic Studio is an emancipatory, offline-first curriculum intelligence platform. It is designed to systematically extract static computing syllabi and transform them into a relational competency data model. By strictly mapping theoretical knowledge elements to observable professional skills, it provides a reproducible, data-driven architecture for instructional design.
Who Does It Serve?
Academic staff, curriculum administrators, and students within COCIS and beyond
What Problem Does It Solve?
Eliminates administrative fatigue from manual curriculum translation
Why Is It Better?
Offline-first architecture, co-designed with faculty, zero recurring fees
Offline Logic Engine
Relational competency data model, completely isolated from internet dependency
Controlled AI Automation
AI as an automator, not dictator — strictly constrained to human-defined logic
Evidence-Based Policy
Data-driven advocacy for competency-based education reform
Why Uganda, Why Now?
Our Strategic Institutional Opportunity
Competency-Based Transition
Uganda's higher education sector is actively shifting toward competency-based education to meet national industry demands for capable software engineers and information technologists.
Localized Innovation
By building at Makerere University, we are refusing to import generic educational technology assumptions that bypass the practical realities of local teaching faculty.
Ugandan Leadership
This intervention positions Uganda to lead in defining how complex academic faculties can operationalize competency frameworks without surrendering instructional agency to commercial platforms.
Founder & Strategic Lead
Ggaliwango Marvin
Principal Investigator & Technical Lead
Department of Computer Science, College of Computing and Information Sciences (COCIS)
Machine Learning and Intelligent Systems Engineer. AI Researcher specializing in Autonomous Systems, Generative AI, and Responsible Software Systems. PhD Research Exchange Fellow at Paul G. Allen School of Computer Science & Engineering (University of Washington).
Additional strategic leads include Tibakanya Joseph (Curriculum Specialist-ICT, NCDC), Dragule Swabi (Computer Scientist), and Nakayiza Hellen Raudha (AI Governance & Algorithmic Fairness).
Meet the Full Team →Ready to Transform Curriculum Design?
Join us in building a future where academic staff hold epistemic authority over instructional design.
Request a Prototype Demo
Experience the offline-first curriculum intelligence platform in action.
Learn moreJoin the Co-Design Workshops
Participate in futures-literacy workshops and help shape the platform.
Get involvedAccess the Policy Briefs
Explore evidence-based recommendations for competency-based education reform.
DownloadBecome a Technical Collaborator
Partner with us on algorithmic fairness, AI governance, and curriculum innovation.
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