Education in the age of Generative AI: Context and Recent Developments
- URL: http://arxiv.org/abs/2309.12332v1
- Date: Thu, 17 Aug 2023 19:56:57 GMT
- Title: Education in the age of Generative AI: Context and Recent Developments
- Authors: Rafael Ferreira Mello, Elyda Freitas, Filipe Dwan Pereira, Luciano
Cabral, Patricia Tedesco and Geber Ramalho
- Abstract summary: It is vital to notice that artificial intelligence adoption in education dates back to the 1960s.
This white paper serves as the inaugural piece in a four-part series that elucidates the role of AI in education.
The series delves into topics such as its potential, successful applications, limitations, ethical considerations, and future trends.
- Score: 0.8313693615194309
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: With the emergence of generative artificial intelligence, an increasing
number of individuals and organizations have begun exploring its potential to
enhance productivity and improve product quality across various sectors. The
field of education is no exception. However, it is vital to notice that
artificial intelligence adoption in education dates back to the 1960s. In light
of this historical context, this white paper serves as the inaugural piece in a
four-part series that elucidates the role of AI in education. The series delves
into topics such as its potential, successful applications, limitations,
ethical considerations, and future trends. This initial article provides a
comprehensive overview of the field, highlighting the recent developments
within the generative artificial intelligence sphere.
Related papers
- Generative Artificial Intelligence: A Systematic Review and Applications [7.729155237285151]
This paper documents the systematic review and analysis of recent advancements and techniques in Generative AI.
The major impact that generative AI has made to date, has been in language generation with the development of large language models.
The paper ends with a discussion of Responsible AI principles, and the necessary ethical considerations for the sustainability and growth of these generative models.
arXiv Detail & Related papers (2024-05-17T18:03:59Z) - Bringing Generative AI to Adaptive Learning in Education [58.690250000579496]
We shed light on the intersectional studies of generative AI and adaptive learning.
We argue that this union will contribute significantly to the development of the next-stage learning format in education.
arXiv Detail & Related papers (2024-02-02T23:54:51Z) - From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the
Generative Artificial Intelligence (AI) Research Landscape [5.852005817069381]
The study critically examined the current state and future trajectory of generative Artificial Intelligence (AI)
It explored how innovations like Google's Gemini and the anticipated OpenAI Q* project are reshaping research priorities and applications across various domains.
The study highlighted the importance of incorporating ethical and human-centric methods in AI development, ensuring alignment with societal norms and welfare.
arXiv Detail & Related papers (2023-12-18T01:11:39Z) - ChatGPT and Beyond: The Generative AI Revolution in Education [0.21756081703275998]
This survey examines academic literature published between November, 2022 and July, 2023.
It aims to illuminate the evolving role of generative AI models, particularly ChatGPT, in education.
The findings of this review will empower educators, researchers, and policymakers to make informed decisions about the integration of AI technologies into learning environments.
arXiv Detail & Related papers (2023-11-26T05:34:22Z) - Exploration with Principles for Diverse AI Supervision [88.61687950039662]
Training large transformers using next-token prediction has given rise to groundbreaking advancements in AI.
While this generative AI approach has produced impressive results, it heavily leans on human supervision.
This strong reliance on human oversight poses a significant hurdle to the advancement of AI innovation.
We propose a novel paradigm termed Exploratory AI (EAI) aimed at autonomously generating high-quality training data.
arXiv Detail & Related papers (2023-10-13T07:03:39Z) - AI-Generated Images as Data Source: The Dawn of Synthetic Era [61.879821573066216]
generative AI has unlocked the potential to create synthetic images that closely resemble real-world photographs.
This paper explores the innovative concept of harnessing these AI-generated images as new data sources.
In contrast to real data, AI-generated data exhibit remarkable advantages, including unmatched abundance and scalability.
arXiv Detail & Related papers (2023-10-03T06:55:19Z) - The Future of Fundamental Science Led by Generative Closed-Loop
Artificial Intelligence [67.70415658080121]
Recent advances in machine learning and AI are disrupting technological innovation, product development, and society as a whole.
AI has contributed less to fundamental science in part because large data sets of high-quality data for scientific practice and model discovery are more difficult to access.
Here we explore and investigate aspects of an AI-driven, automated, closed-loop approach to scientific discovery.
arXiv Detail & Related papers (2023-07-09T21:16:56Z) - New Era of Artificial Intelligence in Education: Towards a Sustainable
Multifaceted Revolution [2.94944680995069]
ChatGPT's high performance on standardized academic tests has thrust the topic of artificial intelligence (AI) into the mainstream conversation about the future of education.
This research aims to investigate the potential impact of AI on education through review and analysis of the existing literature across three major axes: applications, advantages, and challenges.
arXiv Detail & Related papers (2023-05-12T08:22:54Z) - Proactive and Reactive Engagement of Artificial Intelligence Methods for
Education: A Review [2.2843885788439793]
We investigate how artificial intelligence, machine learning and deep learning methods are being utilized to support students, educators and administrative staff.
We consider the involvement of AI-driven methods in the education process in its entirety.
arXiv Detail & Related papers (2023-01-23T02:47:36Z) - Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society.
A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests.
This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
arXiv Detail & Related papers (2021-06-25T22:31:55Z) - Personalized Education in the AI Era: What to Expect Next? [76.37000521334585]
The objective of personalized learning is to design an effective knowledge acquisition track that matches the learner's strengths and bypasses her weaknesses to meet her desired goal.
In recent years, the boost of artificial intelligence (AI) and machine learning (ML) has unfolded novel perspectives to enhance personalized education.
arXiv Detail & Related papers (2021-01-19T12:23:32Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.