Algorithmic Teaching, Fading Thought? Rethinking Engagement in the AI Era
DOI:
https://doi.org/10.34190/icer.2.1.4008Keywords:
Keywords: Artificial Intelligence in Education, Algorithmic Instruction, Critical Thinking, Student Engagements, Epistemic JusticeAbstract
As artificial intelligence becomes increasingly embedded in educational environments, the promise of enhanced efficiency, personalised instruction and expanded access to knowledge is celebrated globally. However, the pedagogical implications of algorithmic instruction remain under theorised, particularly with regard to critical thinking and epistemic engagement. This paper interrogates how algorithmic-driven content delivery and automated assessment systems may inadvertently narrow intellectual curiosity and encourage conformity while reducing learners to be passive recipients of information. Through a doctrinal study into interdisciplinary literature in education, philosophy and AI ethics, this paper critically analyses how AI tools that are used in instructional design may entrench a form of educational minimalism that prioritises standardisation over inquiry. While artificial intelligence can personalise learning pathways, it also risks eliminating opportunities for open-ended exploration and problem solving. Through comparative insights from South Africa and the UK, the study reveals how algorithmic learning environments can either support or suppress higher order thinking depending on contextual use and pedagogical design. This paper calls for a deliberate reconfiguration of AI-enabled education towards epistemically rich engagement. This is where learners are positioned as co-constructors of knowledge. It proposes a model of “algorithmic dialogism” that blends AI support with critical pedagogy. This will ensure that technology develops as a tool for liberation rather than control. This contribution aligns with ongoing global debates on the ethics of AI in education and seeks to influence curriculum design that furthers curiosity, dialogue and reflective thinking in the digital age. Ultimately, this paper calls for a shift from efficiency-driven instruction to education that values diversity of thought and the cultivation of critical consciousness.
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