Transdisciplinary AI Education: The Confluence of Curricular and
Community Needs in the Instruction of Artificial Intelligence
- URL: http://arxiv.org/abs/2311.14702v1
- Date: Fri, 10 Nov 2023 17:26:27 GMT
- Title: Transdisciplinary AI Education: The Confluence of Curricular and
Community Needs in the Instruction of Artificial Intelligence
- Authors: Roozbeh Aliabadi, Aditi Singh and Eryka Wilson
- Abstract summary: 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.
- Score: 0.7133676002283578
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The integration of artificial intelligence (AI) into education has the
potential to transform the way we learn and teach. In this paper, we examine
the current state of AI in education and explore the potential benefits and
challenges of incorporating this technology into the classroom. The approaches
currently available for AI education often present students with experiences
only focusing on discrete computer science concepts agnostic to a larger
curriculum. However, teaching AI must not be siloed or interdisciplinary.
Rather, AI instruction ought to be transdisciplinary, including connections to
the broad curriculum and community in which students are learning. 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. In this program, AI is both taught as a
subject and to learn other subjects within the curriculum through the school
systems International Baccalaureate (IB) approach, which deploys learning
through Units of Inquiry. This approach to education connects subjects across a
curriculum under one major guiding question at a time. The proposed method
offers a meaningful approach to introducing AI to students throughout these
Units of Inquiry, as it shifts AI from a subject that students like or not like
to a subject that is taught throughout the curriculum.
Related papers
- 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) - 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) - What Students Can Learn About Artificial Intelligence -- Recommendations
for K-12 Computing Education [0.0]
Technological advances in the context of digital transformation are the basis for rapid developments in the field of artificial intelligence (AI)
An increasing number of computer science curricula are being extended to include the topic of AI.
This paper presents a curriculum of learning objectives that addresses digital literacy and the societal perspective in particular.
arXiv Detail & Related papers (2023-05-10T20:39:43Z) - 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) - Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech
Revolution [11.654411353207935]
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.
arXiv Detail & Related papers (2021-12-03T17:32:20Z) - 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) - 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) - Distributed and Democratized Learning: Philosophy and Research
Challenges [80.39805582015133]
We propose a novel design philosophy called democratized learning (Dem-AI)
Inspired by the societal groups of humans, the specialized groups of learning agents in the proposed Dem-AI system are self-organized in a hierarchical structure to collectively perform learning tasks more efficiently.
We present a reference design as a guideline to realize future Dem-AI systems, inspired by various interdisciplinary fields.
arXiv Detail & Related papers (2020-03-18T08:45:10Z)
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.