Education Sciences· 2023Q1
Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings
- 947citations
- Q1SCImago
- 2023year
Short summary
Advanced AI models like ChatGPT, capable of generating humanlike text and passing professional exams, are rapidly entering educational settings, presenting both opportunities for innovation and risks to analytical skills and academic integrity.
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Key points
- Generative AI models like ChatGPT can produce humanlike text and engage in automated conversations.
- ChatGPT has demonstrated advanced capabilities, including passing the US bar law exam.
- The integration of AI in education elicits mixed reactions, with potential benefits and significant concerns.
- Concerns include the potential reduction of analytical skills and the promotion of academic misconduct.
AI-generated from the title and abstract; the full text is not read.
Abstract
Over the last decade, technological advancements, especially artificial intelligence (AI), have significantly transformed educational practices. Recently, the development and adoption of Generative Pre-trained Transformers (GPT), particularly OpenAI’s ChatGPT, has sparked considerable interest. The unprecedented capabilities of these models, such as generating humanlike text and facilitating automated conversations, have broad implications in various sectors, including education and health. Despite their immense potential, concerns regarding their widespread use and opacity have been raised within the scientific community. ChatGPT, the latest version of the GPT series, has displayed remarkable proficiency, passed the US bar law exam, and amassed over a million subscribers shortly after its launch. However, its impact on the education sector has elicited mixed reactions, with some educators heralding it as a progressive step and others raising alarms over its potential to reduce analytical skills and promote misconduct. This paper aims to delve into these discussions, exploring the potential and problems associated with applying advanced AI models in education. It builds on extant literature and contributes to understanding how these technologies reshape educational norms in the “new AI gold rush” era.
The authors' abstract, as published at the source. Education Sciences, 2023 · DOI ↗
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