Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech
Revolution
- URL: http://arxiv.org/abs/2112.02034v1
- Date: Fri, 3 Dec 2021 17:32:20 GMT
- Title: Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech
Revolution
- Authors: Sahan Bulathwela, Mar\'ia P\'erez-Ortiz, Catherine Holloway, John
Shawe-Taylor
- Abstract summary: Artificial Intelligence in Education has been said to have the potential for building more personalised curricula.
Millions of students are already starting to benefit from the use of these technologies, but millions more around the world are not.
If this trend continues, the first delivery of AI in Education could be greater educational inequality.
- Score: 11.654411353207935
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Artificial Intelligence (AI) in Education has been said to have the potential
for building more personalised curricula, as well as democratising education
worldwide and creating a Renaissance of new ways of teaching and learning.
Millions of students are already starting to benefit from the use of these
technologies, but millions more around the world are not. If this trend
continues, the first delivery of AI in Education could be greater educational
inequality, along with a global misallocation of educational resources
motivated by the current technological determinism narrative. In this paper, we
focus on speculating and posing questions around the future of AI in Education,
with the aim of starting the pressing conversation that would set the right
foundations for the new generation of education that is permeated by
technology. This paper starts by synthesising how AI might change how we learn
and teach, focusing specifically on the case of personalised learning
companions, and then move to discuss some socio-technical features that will be
crucial for avoiding the perils of these AI systems worldwide (and perhaps
ensuring their success). This paper also discusses the potential of using AI
together with free, participatory and democratic resources, such as Wikipedia,
Open Educational Resources and open-source tools. We also emphasise the need
for collectively designing human-centered, transparent, interactive and
collaborative AI-based algorithms that empower and give complete agency to
stakeholders, as well as support new emerging pedagogies. Finally, we ask what
would it take for this educational revolution to provide egalitarian and
empowering access to education, beyond any political, cultural, language,
geographical and learning ability barriers.
Related papers
- From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents [78.15899922698631]
MAIC (Massive AI-empowered Course) is a new form of online education that leverages LLM-driven multi-agent systems to construct an AI-augmented classroom.
We conduct preliminary experiments at Tsinghua University, one of China's leading universities.
arXiv Detail & Related papers (2024-09-05T13:22:51Z) - Build Your Own Robot Friend: An Open-Source Learning Module for
Accessible and Engaging AI Education [10.864182981901271]
We developed an open-source learning module for college and high school students, which allows students to build their own robot companion.
This open platform can be used to provide hands-on experience and introductory knowledge about various aspects of AI.
Because of the social and personal nature of a socially assistive robot companion, this module also puts a special emphasis on human-centered AI.
arXiv Detail & Related papers (2024-01-06T08:03:08Z) - Transdisciplinary AI Education: The Confluence of Curricular and
Community Needs in the Instruction of Artificial Intelligence [0.7133676002283578]
We examine the current state of AI in education and explore the potential benefits and challenges of incorporating this technology into the classroom.
This paper delves into the AI program currently in development for Neom Community School and the larger Education, Research, and Innovation Sector in Neom, Saudi Arabia s new megacity under development.
arXiv Detail & Related papers (2023-11-10T17:26:27Z) - The AI Revolution in Education: Will AI Replace or Assist Teachers in
Higher Education? [0.0]
The study provides a comprehensive perspective on the future role of educators in the face of AI technologies.
Participants argue that human teachers possess unique qualities, such as critical thinking, creativity, and emotions, which make them irreplaceable.
The research proposes that teachers can effectively integrate AI to enhance teaching and learning without viewing it as a replacement.
arXiv Detail & Related papers (2023-05-02T03:39:34Z) - A Perspective on K-12 AI Education [0.0]
We discuss why learning AI is beneficial for motivating students and promoting creative thinking.
We hope to excite and engage more members of the education community to join the effort to advance K-12 AI education in the USA and worldwide.
arXiv Detail & Related papers (2022-05-04T22:10:01Z) - An Experience Report of Executive-Level Artificial Intelligence
Education in the United Arab Emirates [53.04281982845422]
We present an experience report of teaching an AI course to business executives in the United Arab Emirates (UAE)
Rather than focusing only on theoretical and technical aspects, we developed a course that teaches AI with a view to enabling students to understand how to incorporate it into existing business processes.
arXiv Detail & Related papers (2022-02-02T20:59:53Z) - An AI-based Learning Companion Promoting Lifelong Learning Opportunities
for All [9.229310642804034]
This report aims to synthesize how AI might change (and is already changing) how we learn, as well as what technological features are crucial for these AI systems in education.
It also presents the advances within the X5GON project, a European H2020 project aimed at building and deploying a cross-modal, cross-lingual, cross-cultural, cross-domain and cross-site personalised learning platform for Open Educational Resources (OER)
arXiv Detail & Related papers (2021-11-16T16:01:01Z) - 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) - Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI)
Curriculum [58.86139968005518]
The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created an AI curriculum for pre-tertiary education.
A team of 14 professors with expertise in engineering and education collaborated with 17 principals and teachers from 6 secondary schools to co-create the curriculum.
The co-creation process generated a variety of resources which enhanced the teachers knowledge in AI, as well as fostered teachers autonomy in bringing the subject matter into their classrooms.
arXiv Detail & Related papers (2021-01-19T11:26:19Z) - Empowering Things with Intelligence: A Survey of the Progress,
Challenges, and Opportunities in Artificial Intelligence of Things [98.10037444792444]
We show how AI can empower the IoT to make it faster, smarter, greener, and safer.
First, we present progress in AI research for IoT from four perspectives: perceiving, learning, reasoning, and behaving.
Finally, we summarize some promising applications of AIoT that are likely to profoundly reshape our world.
arXiv Detail & Related papers (2020-11-17T13:14:28Z) - The Short Anthropological Guide to the Study of Ethical AI [91.3755431537592]
Short guide serves as both an introduction to AI ethics and social science and anthropological perspectives on the development of AI.
Aims to provide those unfamiliar with the field with an insight into the societal impact of AI systems and how, in turn, these systems can lead us to rethink how our world operates.
arXiv Detail & Related papers (2020-10-07T12:25:03Z)
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.