Influence of Prompts Structure on the Perception and Enhancement of Learning through LLMs in Online Educational Contexts
This research examines how the structure of prompts impacts the perceived depth and accuracy of responses generated by generative Large Language Models (LLMs) in educational settings. It specifically investigates how prompt design influences students’ learning experiences. The study involved an expe...
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| Tipo de recurso: | capítulo de libro |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Oberta de Catalunya (UOC) |
| Repositorio: | O2, repositorio institucional de la UOC |
| OAI Identifier: | oai:openaccess.uoc.edu:10609/151855 |
| Acceso en línea: | https://hdl.handle.net/10609/151855 http://doi.org/10.5772/intechopen.1006481 |
| Access Level: | acceso abierto |
| Palabra clave: | generative AI GenAI engineering prompts large language model LLMs formative assessment online higher education prompt structure educational environment students’ perception learning process |
| Sumario: | This research examines how the structure of prompts impacts the perceived depth and accuracy of responses generated by generative Large Language Models (LLMs) in educational settings. It specifically investigates how prompt design influences students’ learning experiences. The study involved an experiment with 183 students enrolled in a mandatory Business Administration course at the Universitat Oberta de Catalunya (UOC). Data from the experiment were analyzed using both qualitative and quantitative methods. The results show that well-structured prompts significantly improve students’ perception of the depth and accuracy of GenAI-generated responses, leading to a more effective learning process. This underscores the crucial role of prompt design in maximizing the educational effectiveness of GenAI. The findings suggest that thoughtful prompt design can enhance educational outcomes, although the study’s limited sample size and context-specific nature may restrict the generalizability of the results. This research contributes to the field by highlighting the importance of prompt structure in harnessing GenAI tools for educational improvement. |
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