Artificial Intelligence

AI as a Catalyst, Not a Crutch: Rethinking Assessment in Uganda's Universities

Published on September 27, 2026 by Ssendi Samuel

Exploring the intersection of Artificial Intelligence and higher education assessment in Uganda, and how NCHE encourages proactive integration over prohibition.

The AI Dilemma in Higher Education

The advent of generative Artificial Intelligence (AI) has sent shockwaves through the global higher education sector, and Uganda is no exception. From ChatGPT to advanced research assistants, AI tools have fundamentally altered how students access information and complete assignments. Initially, the knee-jerk reaction from many academic quarters was one of panic and prohibition. However, as the dust settles, a more nuanced and progressive perspective is emerging, championed by the Uganda National Council for Higher Education (NCHE).

Rather than banning AI—a futile endeavor in the digital age—the NCHE has urged universities to embrace it as an emerging technology. Dr. Vincent Ssembatya, Director of Quality Assurance and Accreditation at the NCHE, has rightly challenged universities to view AI not merely as a threat, but as a tool to be understood and integrated responsibly into teaching, learning, and, most crucially, assessment.

Rethinking Traditional Assessment

The traditional essay or research paper, long the gold standard of university assessment, is highly vulnerable to AI generation. If an AI can produce a distinction-level essay in seconds, what exactly are we assessing when a student submits one? This is the crux of the assessment crisis.

The solution is not to double down on plagiarism detection software, which is often engaged in a losing arms race with rapidly advancing AI models. Instead, as the NCHE advocates, universities must rethink their assessment approaches entirely. We must strengthen our assessment systems so that students can demonstrate their own knowledge, skills, and competencies, even as AI tools become ubiquitous.

Strategies for AI-Resilient Assessment

How do we achieve this in practice? It requires a shift towards assessments that evaluate the process of learning, critical thinking, and application, rather than just the final output.

  • In-Class and Invigilated Assessments: While not a complete solution, shifting some weight back to invigilated exams or in-class writing assignments ensures that students have internalized core concepts without digital assistance.
  • Oral Presentations and Vivas: Asking students to present their findings verbally and defend them against questioning is an excellent way to gauge true understanding. AI cannot yet substitute a student in a live debate.
  • Reflective Portfolios: Assessing the journey of learning through reflective journals where students document their thought processes, challenges overcome, and the evolution of their ideas.
  • Project-Based and Experiential Learning: Aligning perfectly with the new Competence-Based Education (CBE) mandate, assessments should focus on practical projects, field work, and real-world problem-solving where AI can be a tool, but not the executor.
  • Embracing AI in the Assessment Itself: Instead of fighting AI, incorporate it. Ask students to generate an essay using AI, and then critically evaluate, correct, and improve upon the AI's output. This teaches AI literacy and critical analysis simultaneously.

The Role of Institutional Autonomy

Currently, because there is no overarching national AI statute or NCHE-mandated regulation, individual universities in Uganda are responsible for developing their own internal governance frameworks. This autonomy is both a privilege and a burden. Institutions must proactively establish policies that clearly define acceptable AI use, academic integrity in the AI era, and data privacy standards.

We must move away from reactive stances. Universities should implement comprehensive AI literacy programs for both staff and students. Lecturers need to understand how these tools work to design resilient assessments, and students need to learn how to use AI ethically and effectively as a professional tool, rather than as an engine for academic dishonesty.

Conclusion

Artificial Intelligence is not going away. It will only become more integrated into our professional and personal lives. By viewing AI as a catalyst for much-needed pedagogical reform rather than a crutch for lazy students, Ugandan universities can lead the way in producing graduates who are not just competent, but digitally fluent and ethically grounded. The NCHE has set the tone; it is now up to the institutions to do the hard work of rethinking assessment for the 21st century.

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