Foundations of Education

Foundations of Education

Meaningfulness and Meaninglessness in Education in the Age of Technology: Lessons from Albert Camus

Document Type : پژوهشی

Author
Assistant Professor, Department of Educational Sciences, Farhangian University, Tehran, Iran
Abstract
Abstract
The aim of this study is to examine instances of meaning and meaninglessness in education, with reference to the thoughts of Albert Camus in the technological age. A deductive method has been employed to extract the educational implications; in this approach, by adopting a specific philosophical stance, its consequences and implications for the field of education are derived. The findings indicate that the fundamental challenge of education in the age of artificial intelligence is not merely the transmission of knowledge, but rather the preservation of the capacity for meaning-making, human agency, and responsibility in the face of intelligent technologies. The instances of meaning and meaninglessness identified include: indirect versus direct education, human agency versus technological agency, ambiguity, uncertainty, and alienation versus certainty and definitive knowledge, solidarity versus isolation, and the creation of meaning versus the transmission of meaning. Drawing on Camus's teachings, meaningful education should prepare learners for a conscious encounter with meaninglessness and keep questioning alive. This study demonstrates that in the technological age, education must emphasize human agency, responsibility, solidarity, and the creation of meaning, rather than merely the transmission of knowledge.
Synopsis
The rapid expansion of intelligent technologies, particularly artificial intelligence, confronts contemporary education systems with a pressing question: do these technologies deepen the meaningfulness of education, or do they exacerbate its meaninglessness? Several philosophers of technology, including Heidegger, Borgmann, and Gertz, have warned against the erosive effects of technology on human values and have described modern technology as a force of alienation or even an expression of nihilism. Ihde, by contrast, has drawn attention to the simultaneously amplifying and reducing character of technological mediation. Against this backdrop, the present study turns to Albert Camus, whose philosophy locates the origin of meaninglessness not primarily in technology itself, but in the broader existential condition of a human being confronting a silent universe that offers no ultimate answers to fundamental questions. For Camus, this absurd confrontation need not lead to despair; rather, it can become the starting point for rebellion, freedom, passionate engagement with life, and the creation of meaning. The choice of Camus over other philosophers of technology is deliberate: unlike Heidegger's emphasis on technology as Gestell (enframing), or posthumanist approaches that de-center human agency, Camus's existentialism foregrounds individual meaningful action in the face of any external system that threatens to render life meaningless—technological or otherwise. This focus on individual agency renders his thought distinctly well-suited to examining education under conditions of pervasive algorithmic mediation. It should also be noted that the critique advanced in this study targets primarily algorithm-driven, recommender-style artificial intelligence that produces fixed, predetermined answers; dialogic, generative forms of AI capable of Socratic prompting and open-ended scenario generation are not inherently opposed to Camus's philosophy and are discussed as potential allies of meaningful education.
Methodologically, the study employs a deductive (inferential) approach rooted in philosophical analysis rather than empirical data collection: by adopting Camus's philosophical stance as a starting point, the study derives its normative and practical consequences for the field of education. Following Bagheri's three-step inferential method, the foundational concepts of Camus's thought—absurdity, rebellion, agency, freedom, solidarity, and the creation of meaning—were first extracted primarily from his three major works (The Myth of Sisyphus, The Rebel, and The Plague). Each concept was then formulated as a normative principle, and these principles were subsequently matched against recurring concerns in the literature on artificial intelligence and education (loss of agency, algorithmic certainty, digital isolation) to yield five explicit dichotomies of meaningful versus meaningless education. The study explicitly acknowledges that this five-fold typology is selective rather than exhaustive, and that formulating Camus's inherently anti-systematic philosophy into explicit dichotomies and analytic tables carries an internal tension with the spirit of his thought; the dichotomies are therefore offered as interpretive and heuristic tools for reflection rather than a closed theoretical system. Complementary voices from the existentialist and pragmatist traditions of educational philosophy—John Dewey, Maxine Greene, and Gert Biesta—are drawn upon throughout, though Camus's thought remains the central theoretical framework.
The findings articulate five interrelated dichotomies through which meaning and meaninglessness manifest in technologically mediated education. First, indirect versus direct education: following Camus's own preference for conveying philosophical truths through narrative rather than direct exposition, the study argues that values—especially moral and religious ones—are better cultivated indirectly, through story, art, and lived experience, than through direct transmission, which tends to provoke resistance or superficial compliance; AI-generated interactive narratives are discussed as a potential vehicle for such indirect education. Second, human agency versus technological agency: drawing on Camus's insistence that freedom is meaningful only when individuals can act against external pressures, the study warns that over-reliance on AI risks eroding learners' independent judgment, critical thinking, and sense of authorship over their own learning, and calls for AI systems designed to preserve the learner's capacity to challenge or "rebel against" machine-generated answers. Third, ambiguity, uncertainty, and estrangement versus certainty and definitive knowledge: because Camus regards the world as fundamentally resistant to final interpretation, the study contends that meaningful education must cultivate the capacity to dwell in ambiguity rather than seek algorithmically generated certainty, drawing on Greene's concept of "de-familiarization" as a pedagogical strategy for reintroducing productive ambiguity into the classroom. Fourth, solidarity versus isolation: extending Camus's claim that authentic rebellion and dialogue depend on human solidarity, the study cautions that hyper-personalized AI systems risk trapping learners in isolating "meaning bubbles," and recommends that AI be used to free teachers' time for deeper, dialogic engagement with students rather than substituting for human connection. Fifth, the creation of meaning versus the transmission of meaning: consonant with both Camus and Dewey, the study argues that education should not treat meaning as a pre-packaged content to be delivered, but as something learners actively create through experience, reflection, and intersubjective dialogue—a stance that stands in tension with data-driven, "banking" models of AI-assisted instruction.
Conclusion
The study concludes that the fundamental challenge facing education in the age of artificial intelligence is not the transmission of knowledge but the preservation of human beings' existential capacity for meaning-making, agency, and responsibility. Meaningful education, informed by Camus, should prepare learners for a conscious and courageous encounter with meaninglessness rather than shielding them from it, keeping inquiry alive rather than foreclosing it with definitive answers. Three concrete practical recommendations are offered: embedding "de-familiarization" exercises into curriculum design so that learners articulate their own assumptions before consulting AI-generated answers; designing AI tools with built-in "reflective pauses" that require learners to register their own position before receiving further output; and incorporating learners' documented process of choice, doubt, and revision—rather than only their final answers—into assessment. The study acknowledges its limitations as a purely theoretical-philosophical inquiry lacking empirical validation, and calls for future research to test these dichotomies against the lived experience of teachers and students navigating AI-mediated classrooms.







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Volume 16, Issue 2 - Serial Number 32
November 2026
Pages 159-181

  • Receive Date 04 August 2026
  • Revise Date 03 September 2026
  • Accept Date 23 September 2026