Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
ChatGPT and Improvement in Productivity: An analytical Study
0
Zitationen
3
Autoren
2024
Jahr
Abstract
This paper attempts to investigate how ChatGPT, an artificial intelligence-based language model made by OpenAI, can be leveraged to enhance productivity in the field of education attractive to both educators and learners. There is an increasing provision for customized and administratively effective approaches to education and ChatGPT avails in a number of ways; automating tiresome and mundane activities, content development and even acting as a tutor. This paper seeks to assess the impact of ChatGPT on improving productivity levels, decreasing workload and enhancing creativity in educational settings. A mixed-method perspective was employed. First, a quantitative survey was done with 100 teachers of public and private schools where biographic as well as data on AI in lesson planning, grading and interaction with students was collected. Second, 20 interviews were held with both educators and students to capture their experiences with AI tools focusing on the advantages and disadvantages of adoption. Classroom cases were manipulated in order to find out the effectiveness of Chatgpt on the productivity in the course of its use. It has been found from the results that Chatgpt saves the time that could be taken per educator to perform certain general tasks, especially essay writing and lesson plan preparation, as more time is now available for teaching. There are benefits for the students since the system can offer timely responses and make teaching resources for learners on a case basis. Such worries imply that one is likely to suffer from too much reliance on AI technologies, or the written content will not be of high quality, hence calling for a cautious approach to implementation. The study ends by indicating that irrespective of the fact that ChatGPT heightens the educational outputs in the school, it is clear that, it should be an additional tool and should not replace conventional teaching strategies.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.250 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.109 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.482 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.434 Zit.