Generation Alpha, encompassing individuals born from 2010 onwards, represents the first generational cohort immersed from infancy in artificial intelligence (AI), ubiquitous connectivity, and algorithmically personalized digital media. As higher education institutions continue adapting instructional models to meet the expectations of Generation Z, the imminent arrival of Generation Alpha demands proactive pedagogical recalibration. Characterized by cognitive profiles conditioned to rapid feedback loops, multimodal interaction, and adaptive systems, these learners challenge conventional text centric and passive lecture formats. However, pervasive digital exposure does not inherently equate to advanced informational fluency, critical multitasking capacity, or autonomous metacognition. This paper examines the evolving developmental and behavioral traits of Generation Alpha relative to Generation Z, underscoring critical instructional hurdles such as cognitive over-reliance on generative AI tools, the attrition of sustained analytical focus, and the risk of passive cognitive offloading. To maintain academic rigor and engagement, tertiary educators must construct agile, experiential, and inquiry-driven instructional frameworks that leverage smart technologies while intentionally cultivating deep analytical inquiry, intellectual autonomy, and problem-solving resilience.
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Abd Rahman, Zanariah UNSPECIFIED Dahlan, Jaslin Md UNSPECIFIED |
| Subjects: | L Education > LB Theory and practice of education > Teaching (Principles and practice) > Technology. Educational technology |
| Divisions: | Universiti Teknologi MARA, Johor > Segamat Campus > Faculty of Business and Management |
| Page Range: | pp. 171-173 |
| Keywords: | Generation Alpha, Gen Alpha, Higher education, Artificial intelligence in education, AI, Educational technology, Pedagogical challenges, Cognitive offloading, Digital natives, Student engagement |
| Date: | 2026 |
| URI: | https://ir.uitm.edu.my/id/eprint/149511 |
149511.pdf
