Teaching, Learning, and Development
Vol. 4 No. 1 (2026)

Basic, Structured, or Strategic? A Diagnostic Typology of Generation Z's Untrained AI Prompting Skills

Praherdhiono, Henry (Unknown)
Soepriyanto, Yerry (Unknown)
Kurniawan, Citra (Unknown)
Slamet, Taufik Ikhsan (Unknown)
Rosyidah, Fauziah Nur Aisyah (Unknown)
Hajjah, Rahma Izzatul (Unknown)



Article Info

Publish Date
14 Dec 2025

Abstract

This study investigates the intuitive ("organic") capabilities of Generation Z students in designing Generative AI prompts, challenging the assumption that digital native status guarantees effective AI literacy. Through an in-depth qualitative content analysis of 125 prompts crafted by Educational Technology students at State University of Malang, this research maps their initial skill spectrum using a structured assessment rubric. The findings reveal a sharp polarization across three user typologies: Basic Users (42.4%) who tend to be ambiguous, Structured Users (32%) who are logical, and Strategic Users (25.6%) who demonstrate advanced control. This study concludes that general digital fluency does not automatically translate into AI literacy. Consequently, higher education institutions urgently need to explicitly integrate prompt engineering into the curriculum as a core future competency, rather than merely an adjunct technical skill.

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Journal Info

Abbrev

telad

Publisher

Subject

Education

Description

Teaching, Learning, and Development provides a platform for the discussion of teaching, learning, and development at any level. Journal invites articles on the broad range of settings in which people teach, learn and ...