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Effect of Prompt Engineering on Education Sector: A mixed case study

Author(s) Prashant Awasthi
Country India
Abstract The effect of prompt engineering on the education industry with a focus on enhancing teaching techniques, student engagement, and learning results. Personalized prompts are created with the assistance of AI-based tools like ChatGPT to facilitate various educational requirements, making adaptive learning processes possible. This research utilizes a mixed-methods case study method grounded in qualitative and quantitative data to examine the efficacy of prompt engineering in actual classrooms. Evidence has been found that well-designed prompts produce greater critical thinking, deeper discussions, and more individualized learning. Teachers also stand to gain from AI-based automation, which facilitates the simplification of assessment and curriculum design complexity. The research also touches on the question of challenges faced in using AI-based prompt engineering, such as ethics, overdependence on AI by students, and data privacy. In the main, the study illustrates the revolutionizing significance of prompt engineering in contemporary learning to provide prophetic teaching styles to amplify learners' knowledge gain.
Keywords Prompt engineering, edutainment AI, learner engagement, adaptive learning, pedagogies for instruction, using ChatGPT as an instruction tool, personalized learning, educational AI, mixed-method case study.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 2, Issue 10, October 2021
Published On 2021-10-05
Cite This Effect of Prompt Engineering on Education Sector: A mixed case study - Prashant Awasthi - IJLRP Volume 2, Issue 10, October 2021. DOI 10.5281/zenodo.15107514
DOI https://doi.org/10.5281/zenodo.15107514
Short DOI https://doi.org/g89856
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