AI Layered Prompt Learning (AIPL): A Pedagogical Framework for Teaching Prompt Engineering

This white paper introduces "AI Layered Prompt Learning (AIPL)", a pedagogical framework designed to structure the teaching and learning of prompt engineering. The model is based on a layered methodology that moves from foundational principles to advanced applications, helping students and professionals systematically build expertise. AIPL integrates theoretical understanding with hands-on practice, emphasizing adaptability across domains such as education, business, and technology. This framework aims to support educators, learners, and practitioners in mastering prompt engineering as a core digital skill of the future.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-27
DOI
https://doi.org/10.5281/zenodo.17211735
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI Layered Prompt Learning (AIPL): A Pedagogical Framework for Teaching Prompt Engineering

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

AI Layered Prompt Learning (AIPL): A Pedagogical Framework for Teaching Prompt Engineering

article en

Abstract

This white paper introduces "AI Layered Prompt Learning (AIPL)", a pedagogical framework designed to structure the teaching and learning of prompt engineering. The model is based on a layered methodology that moves from foundational principles to advanced applications, helping students and professionals systematically build expertise. AIPL integrates theoretical understanding with hands-on practice, emphasizing adaptability across domains such as education, business, and technology. This framework aims to support educators, learners, and practitioners in mastering prompt engineering as a core digital skill of the future.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 26%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI Layered Prompt Learning (AIPL): A Pedagogical Framework for Teaching Prompt Engineering · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS