📄
Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT paper by Independent / Community
⭐ 70.6
📄
Paper

Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT

by Independent / Community 0019e876188f781fdca0c0ed3bca39d0c70c2ad2
Free2AITools Nexus Index
70.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 88
P: Popularity 65
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

Objective: The article aims to offer a thorough examination and comprehension of the challenges and pro‐ spects connected with artificial intelligence (AI) prompt engineering. Our research aimed to create a theoret‐ ical framework that would highlight optimal approaches in the field of AI prompt engineering. Research Design & Methods: This research utilized a narrative and critical literature review and established a conceptual framework derived from existing literature taking into account bo...

Source →
Semantic Scholar 147 Citations
Paper Information Summary
Entity Passport
Registry ID 0019e876188f781fdca0c0ed3bca39d0c70c2ad2
License ArXiv
Provider semantic_scholar
📜

Cite this paper

Academic & Research Attribution

BibTeX 
@misc{0019e876188f781fdca0c0ed3bca39d0c70c2ad2,
  author = {Unknown},
  title = {Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0019e876188f781fdca0c0ed3bca39d0c70c2ad2}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT [Paper]. Free2AITools. https://api.semanticscholar.org/0019e876188f781fdca0c0ed3bca39d0c70c2ad2

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 88
Popularity (P) 65
Recency (R) 100
Quality (Q) 65

💬 Index Insight

FNI V2.0 for Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT: Authority (A:88), Popularity (P:65), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data

📝 Executive Summary

"Objective: The article aims to offer a thorough examination and comprehension of the challenges and pro‐ spects connected with artificial intelligence (AI) prompt engineering. Our research aimed to create a theoret‐ ical framework that would highlight optimal approaches in the field of AI prompt engineering. Research Design & Methods: This research utilized a narrative and critical literature review and established a conceptual framework derived from existing literature taking into account bo..."

❝ Cite Node 

@article{Unknown2026Artificial,
  title={Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

Read the full paper on arXiv

📊 Research Signals

📈147CitationsSemantic Scholar
🏛️88AuthorityFNI pillar
⏱️100RecencyFNI pillar
✅65QualityFNI pillar
🗂️text generationField
📦Data Source: semantic_scholar
🔄 Updated daily

Source summary: Based on semantic_scholar metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Paper Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

source
semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

⚙️ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
0
stars
null
forks
null
citations
147

Data indexed from public sources. Updated daily.