Teaching Digital Accessibility to Industry Professionals using the
Community of Practice Framework: An Experience Report
- URL: http://arxiv.org/abs/2401.00449v1
- Date: Sun, 31 Dec 2023 10:55:26 GMT
- Title: Teaching Digital Accessibility to Industry Professionals using the
Community of Practice Framework: An Experience Report
- Authors: Parthasarathy PD and Swaroop Joshi
- Abstract summary: Despite recent initiatives aimed at improving accessibility, the field of digital accessibility remains markedly behind contemporary advancements in the software industry.
A persisting skills deficit within the existing technology workforce has been an enduring impediment.
This paper reports lessons learned from a training program for teaching digital accessibility to industry professionals.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Despite recent initiatives aimed at improving accessibility, the field of
digital accessibility remains markedly behind contemporary advancements in the
software industry as a large number of real world software and web applications
continue to fall short of accessibility requirements. A persisting skills
deficit within the existing technology workforce has been an enduring
impediment, hindering organizations from delivering truly accessible software
products. This, in turn, elevates the risk of isolating and excluding a
substantial portion of potential users. In this paper, we report lessons
learned from a training program for teaching digital accessibility using the
Communities of Practice (CoP) framework to industry professionals. We recruited
66 participants from a large multi-national software company and assigned them
to two groups: one participating in a CoP and the other using self-paced
learning. We report experiences from designing the training program, conducting
the actual training, and assessing the efficiency of the two approaches. Based
on these findings, we provide recommendations for practitioners in Learning and
Development teams and educators in designing accessibility courses for industry
professionals.
Related papers
- Mentoring Software in Education and Its Impact on Teacher Development: An Integrative Literature Review [0.0]
This study explores the transformative potential of digital mentoring platforms.
The research synthesizes findings from existing literature to assess the effectiveness of key features.
Financial constraints, limited institutional support, and data privacy concerns remain significant challenges.
arXiv Detail & Related papers (2025-02-18T04:01:45Z) - Affirmative Hackathon for Software Developers with Disabilities: An Industry Initiative [2.4362104259303403]
Lack of skilled professionals with experience in inclusive hiring and management prevents companies from effectively increasing PWD representation on software development teams.
This paper reports the experience of Zup Innovation, a Brazilian software company, in hosting a fully remote affirmative hackathon with 50 participants to attract PWD developers.
Our findings offer lessons for other companies seeking to address similar challenges and promote greater inclusion in tech teams.
arXiv Detail & Related papers (2025-01-13T14:04:01Z) - Bridging Theory to Practice in Software Testing Teaching through Team-based Learning (TBL) and Open Source Software (OSS) Contribution [3.190574537106449]
This paper presents a teaching approach for a software testing course that integrates theory and practical experience.
The paper reports on our experience implementing the pedagogical approach over four consecutive semesters of a Software Testing course within an undergraduate Software Engineering program.
arXiv Detail & Related papers (2024-04-16T21:16:17Z) - Bridging Gaps, Building Futures: Advancing Software Developer Diversity and Inclusion Through Future-Oriented Research [50.545824691484796]
We present insights from SE researchers and practitioners on challenges and solutions regarding diversity and inclusion in SE.
We share potential utopian and dystopian visions of the future and provide future research directions and implications for academia and industry.
arXiv Detail & Related papers (2024-04-10T16:18:11Z) - Social Skill Training with Large Language Models [65.40795606463101]
People rely on social skills like conflict resolution to communicate effectively and to thrive in both work and personal life.
This perspective paper identifies social skill barriers to enter specialized fields.
We present a solution that leverages large language models for social skill training via a generic framework.
arXiv Detail & Related papers (2024-04-05T16:29:58Z) - Charting a Path to Efficient Onboarding: The Role of Software
Visualization [49.1574468325115]
The present study aims to explore the familiarity of managers, leaders, and developers with software visualization tools.
This approach incorporated quantitative and qualitative analyses of data collected from practitioners using questionnaires and semi-structured interviews.
arXiv Detail & Related papers (2024-01-17T21:30:45Z) - Exploring the Need of Accessibility Education in the Software Industry:
Insights from a Survey of Software Professionals in India [0.0]
This work seeks to understand (a) who within the software development community actively practices accessibility, (b) when and how accessibility is considered in the software development lifecycle, and (d) the challenges encountered in building accessible software.
Our survey of 269 software professionals from India sheds light on the pressing need for accessibility education within the software industry.
A substantial majority (69.9%, N=269) of respondents express the need for training materials, workshops, and bootcamps to enhance their accessibility skills.
arXiv Detail & Related papers (2023-12-31T10:58:30Z) - Experiential Co-Learning of Software-Developing Agents [83.34027623428096]
Large language models (LLMs) have brought significant changes to various domains, especially in software development.
We introduce Experiential Co-Learning, a novel LLM-agent learning framework.
Experiments demonstrate that the framework enables agents to tackle unseen software-developing tasks more effectively.
arXiv Detail & Related papers (2023-12-28T13:50:42Z) - Distributed Deep Learning in Open Collaborations [49.240611132653456]
We propose a novel algorithmic framework designed specifically for collaborative training.
We demonstrate the effectiveness of our approach for SwAV and ALBERT pretraining in realistic conditions and achieve performance comparable to traditional setups at a fraction of the cost.
arXiv Detail & Related papers (2021-06-18T16:23:13Z) - 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)
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.