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Abstract
This paper presents a systematic review of the role of prompt engineering during interactions with Generative Artificial Intelligence (GenAI) in Higher Education (HE) to discover potential methods of improving educational outcomes. Drawing on a comprehensive search of academic databases and relevant literature, key trends, including multiple framework designs, are presented and explored to review the role, relevance, and applicability of prompt engineering to purposefully improve GenAI-generated responses in higher education contexts. Multiple experiments using a variety of prompt engineering frameworks are compared, contrasted and discussed. Analysis reveals that well-designed prompts have the potential to transform interactions with GenAI in higher education teaching and learning. Further findings show it is important to develop and teach pragmatic skills in AI interaction, including meaningful prompt engineering, which is best managed through a well-designed framework for creating and evaluating GenAI applications that are aligned with pre-determined contextual educational goals. The paper outlines some of the key concepts and frameworks that educators should be aware of when incorporating GenAI and prompt engineering into their teaching practices, and when teaching students the necessary skills for successful GenAI interaction.
Academic Publication Prompt engineering in higher education: a systematic review to help inform curricula
Research Abstract & Technology Focus
Correlated Market Trend: Adversarial Review
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Prompt engineering in higher education: a systematic review to help inform curricula
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Prompt-library
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Frequently Asked Questions (FAQ)
Curated market intelligence mapped to this research.
What is the core focus of the research titled 'Prompt engineering in higher education: a systematic review to help inform curricula'?
This literature focuses on: Abstract This paper presents a systematic review of the role of prompt engineering during interactions with Generative Artificial Intelligence (GenAI) in Higher Education (HE) to discover potential methods of improving educationa...
Are there open-source GitHub repositories related to Prompt engineering in higher education: a systematic review to help inform curricula?
Yes, open-source projects like gsd-build/gsd-2 (A powerful meta-prompting, context engineering and spec-driven development system that enables agents to work for long periods of time autonomously...) are actively building upon these concepts.
Which startups are commercializing the technology behind Prompt engineering in higher education: a systematic review to help inform curricula?
Products like PromptURLs are bringing this to market. Their focus is: Turn any prompt into a shareable URL for ChatGPT, Claude .
What other academic literature is closely related to 'Prompt engineering in higher education: a systematic review to help inform curricula'?
Yes, highly correlated activity was mapped. An entry titled 'Prompt engineering in higher education: a systematic review to help inform curricula' discusses this: Abstract This paper presents a systematic review of the role of prompt engineering during interactions with Generative Artificial...
Are there commercial applications of 'Prompt engineering in higher education: a systematic review to help inform curricula' in market news publications?
Yes, highly correlated activity was mapped. An entry titled 'Prompt-library' discusses this: While enterprises increase AI visibility spending, measuring impact remains complex. Anthropic's head of Claude Code suggests prompt engineering is...
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Commercial Realization
Startups and Open Source tools heavily associated with the concepts explored in this paper.
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GitHubgsd-build/gsd-2
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GitHubnidhinjs/prompt-master
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Product HuntPromptURLs
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Product HuntClaude Code Voice Mode