TechApril 19, 2026

Sudanese Educator Warns AI Undermines Deep Learning, Calls for Redefining Education

A Sudanese educator warns that AI tools undermine deep learning, pushing for educational reforms. The call emphasizes critical engagement over mere task completion.

Alex Mercer/3 min/NG

Senior Tech Correspondent

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Sudanese Educator Warns AI Undermines Deep Learning, Calls for Redefining Education

**Artificial Intelligence (AI) poses a direct threat to deep learning, prompting a Sudanese educator to advocate for a fundamental redefinition of educational practices.** This shift must prioritize critical engagement and genuine understanding over quick, AI-generated outputs.

The rapid proliferation of Artificial Intelligence (AI), a technology enabling machines to perform human-like cognitive functions such as learning and problem-solving, is challenging traditional education models globally. Dr. Salah Da’ak, a Sudanese educator, recently highlighted these concerns, arguing that AI tools fundamentally alter the meaning of education itself. This discussion gains particular urgency as many universities, especially those in resource-limited settings like Sudan, navigate unstable conditions alongside these new technological advancements. The core issue is whether students truly learn when AI provides answers without requiring personal intellectual struggle.

Historically, rigorous learning processes shaped intellectual development. At Khor Taqat Secondary School, for instance, class sizes were deliberately limited to no more than twenty-six students, fostering an environment of focused instruction and personal attention. The school principal, Mr. Al-Seni Abdullah Marouf, once underscored this philosophy, informing students they would receive English dictation instead of middle-school-style spelling memorization. This method demanded immediate application and understanding, moving beyond simple rote learning. In contrast, today's AI-powered tools, such as generative models like ChatGPT, can produce well-organized texts instantly. This allows students to complete assignments quickly, bypassing the deep personal effort, critical struggle, and iterative process previously integral to achieving genuine comprehension.

The current educational landscape risks producing students who rely on AI for task completion rather than developing internal comprehension and critical thinking. This reliance can diminish the value of academic assignments, which traditionally serve as essential preparation for real-world responsibilities and problem-solving. However, a nuanced perspective suggests a different path forward: students who use AI as a reference and engage critically with it will become future leaders in complex work environments. This indicates that the challenge for educational institutions is not to ban AI, but to integrate it strategically. Curricula must evolve to promote sophisticated critical thinking, ethical problem-solving, and responsible AI engagement. This requires a re-evaluation of assessment methods and teaching strategies to ensure AI augments, rather than replaces, genuine intellectual development.

The next phase in global education will critically involve designing systems that leverage AI's potential while steadfastly safeguarding and fostering the core principles of deep learning and independent thought.

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