Teaching Inclusive Engineering Design at a Small Liberal Arts College
- URL: http://arxiv.org/abs/2105.08201v1
- Date: Mon, 17 May 2021 23:44:51 GMT
- Title: Teaching Inclusive Engineering Design at a Small Liberal Arts College
- Authors: Maggie Delano
- Abstract summary: I present an elective engineering course and a 3-lecture module in an introductory course that emphasize engaging with the social impacts of technology.
Modern engineering education tends to focus on mathematics and fundamentals, eschewing critical reflections on technology and the field of engineering.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: Modern engineering education tends to focus on mathematics and fundamentals,
eschewing critical reflections on technology and the field of engineering. In
this paper, I present an elective engineering course and a 3-lecture module in
an introductory course that emphasize engaging with the social impacts of
technology.
Related papers
- Challenges and Paths Towards AI for Software Engineering [55.95365538122656]
We discuss progress in AI for software engineering in threefold manner.
First, we provide a structured taxonomy of concrete tasks in AI for software engineering.
Second, we outline several key bottlenecks that limit current approaches.
arXiv Detail & Related papers (2025-03-28T17:17:57Z) - Diffusion-Based Visual Art Creation: A Survey and New Perspectives [51.522935314070416]
This survey explores the emerging realm of diffusion-based visual art creation, examining its development from both artistic and technical perspectives.
Our findings reveal how artistic requirements are transformed into technical challenges and highlight the design and application of diffusion-based methods within visual art creation.
We aim to shed light on the mechanisms through which AI systems emulate and possibly, enhance human capacities in artistic perception and creativity.
arXiv Detail & Related papers (2024-08-22T04:49:50Z) - Theorizing neuro-induced relationships between cognitive diversity, motivation, grit and academic performance in multidisciplinary engineering education context [5.9631503543049895]
Most engineering problems need to be solved from a multidisciplinary approach.
Conventional engineering programs usually adopt pedagogical approaches specifically tailored to traditional, niched engineering disciplines.
To reduce the gap, more multidisciplinary engineering programs emerge by systematically stretching across all engineering fibers.
arXiv Detail & Related papers (2024-05-13T14:21:11Z) - The Paradox of Industrial Involvement in Engineering Higher Education [0.0]
We argue that the curriculum within engineering education often lacks a deep understanding of social realities.
We establish this unusual connection with the industry that has driven engineering higher education for several decades.
We highlight the need for engineering schools to hold a more critical viewpoint.
arXiv Detail & Related papers (2024-02-26T17:35:23Z) - Review of Large Vision Models and Visual Prompt Engineering [50.63394642549947]
Review aims to summarize the methods employed in the computer vision domain for large vision models and visual prompt engineering.
We present influential large models in the visual domain and a range of prompt engineering methods employed on these models.
arXiv Detail & Related papers (2023-07-03T08:48:49Z) - Utilizing Online and Open-Source Machine Learning Toolkits to Leverage
the Future of Sustainable Engineering [8.641860292533023]
Edge Impulse has designed an open-source TinyML-enabled Arduino education tool kit for engineering disciplines.
This paper discusses the various applications and approaches engineering educators have taken to utilize ML toolkits in the classroom.
arXiv Detail & Related papers (2023-04-21T17:50:21Z) - Selected Trends in Artificial Intelligence for Space Applications [69.3474006357492]
This chapter focuses on differentiable intelligence and on-board machine learning.
We discuss a few selected projects originating from the European Space Agency's (ESA) Advanced Concepts Team (ACT)
arXiv Detail & Related papers (2022-12-10T07:49:50Z) - 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) - Engineering Education in the Age of Autonomous Machines [1.2246649738388389]
We advocate to create a cross-disciplinary program to expose students with technical background in computer science, computer engineering, electrical engineering, as well as mechanical engineering.
A capstone project that provides students with hands-on experiences of working with a real autonomous vehicle is required to consolidate the technical foundation.
arXiv Detail & Related papers (2021-02-16T00:44:14Z) - Data-Driven Aerospace Engineering: Reframing the Industry with Machine
Learning [49.367020832638794]
The aerospace industry is poised to capitalize on big data and machine learning.
Recent trends will be explored in context of critical challenges in design, manufacturing, verification and services.
arXiv Detail & Related papers (2020-08-24T22:40:26Z) - Machine Learning for Software Engineering: A Systematic Mapping [73.30245214374027]
The software development industry is rapidly adopting machine learning for transitioning modern day software systems towards highly intelligent and self-learning systems.
No comprehensive study exists that explores the current state-of-the-art on the adoption of machine learning across software engineering life cycle stages.
This study introduces a machine learning for software engineering (MLSE) taxonomy classifying the state-of-the-art machine learning techniques according to their applicability to various software engineering life cycle stages.
arXiv Detail & Related papers (2020-05-27T11:56:56Z) - Teaching Software Engineering for AI-Enabled Systems [7.01053472751897]
This course teaches software-engineering skills to students with a background in machine learning.
We describe the course and our infrastructure and share experience and all material from teaching the course for the first time.
arXiv Detail & Related papers (2020-01-18T15:24:17Z)
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.