Integrating Traditional CS Class Activities with Computing for Social
Good, Ethics, and Communication and Leadership Skills
- URL: http://arxiv.org/abs/2312.03924v1
- Date: Wed, 6 Dec 2023 21:48:55 GMT
- Title: Integrating Traditional CS Class Activities with Computing for Social
Good, Ethics, and Communication and Leadership Skills
- Authors: Renato Cortinovis, Devender Goyal, Luiz Fernando Capretz
- Abstract summary: Software and information technologies are becoming increasingly integrated and pervasive in human society.
There is a growing awareness of the need to develop professionals who will harness these technologies in fair and inclusive ways.
- Score: 5.1868909177638125
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Software and information technologies are becoming increasingly integrated
and pervasive in human society and range from automated decision making and
social media and entertainment, to running critical social and physical
infrastructures like government programs, utilities, and financial
institutions. As a result, there is a growing awareness of the need to develop
professionals who will harness these technologies in fair and inclusive ways
and use them to address global issues like health, water management, poverty,
and human rights. In this regard, many academic researchers have expressed the
need to complement traditional teaching of CS technical skills with computer
and information ethics (computing for social good), as well as communication
and leadership skills. In this paper, we describe our goals and some possible
class activities we have developed and refined over the past few years with
encouraging results, to help CS students understand the potential uses of
computing for social good. In these carefully planned project assignments, we
seamlessly integrate traditional approaches to develop technical skills with
broader professional responsibility and soft skills. We then discuss the
lessons learned from these activities and briefly outline future plans.
Related papers
- Beyond the Classroom: Bridging the Gap Between Academia and Industry with a Hands-on Learning Approach [2.8123958518740544]
Self-adaptive software systems have emerged as a critical focus in software design and operation.
A survey among practitioners identified that the lack of knowledgeable individuals has hindered its adoption in the industry.
We present our experience teaching a course on self-adaptive software systems that integrates theoretical knowledge and hands-on learning with industry-relevant technologies.
arXiv Detail & Related papers (2025-04-14T21:32:25Z) - Computational Thinking with Computer Vision: Developing AI Competency in an Introductory Computer Science Course [0.0]
This paper introduces an introductory computer science course where students learn computational thinking through computer vision.
The course aims to achieve computational thinking outcomes alongside critical thinking outcomes that expose students to AI approaches and their societal implications.
arXiv Detail & Related papers (2025-03-24T15:49:37Z) - Twenty Years of Personality Computing: Threats, Challenges and Future Directions [76.46813522861632]
Personality Computing is a field at the intersection of Personality Psychology and Computer Science.
This paper provides an overview of the field, explores key methodologies, discusses the challenges and threats, and outlines potential future directions for responsible development and deployment of Personality Computing technologies.
arXiv Detail & Related papers (2025-03-03T22:03:48Z) - Generative AI Literacy: Twelve Defining Competencies [48.90506360377104]
This paper introduces a competency-based model for generative artificial intelligence (AI) literacy covering essential skills and knowledge areas necessary to interact with generative AI.
The competencies range from foundational AI literacy to prompt engineering and programming skills, including ethical and legal considerations.
These twelve competencies offer a framework for individuals, policymakers, government officials, and educators looking to navigate and take advantage of the potential of generative AI responsibly.
arXiv Detail & Related papers (2024-11-29T14:55:15Z) - Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning [0.18416014644193066]
AI-driven applications are transforming how students interact with social media.
Students engaging with AI-enhanced social media platforms report higher academic performance.
AI algorithms effectively match students based on shared academic interests and career goals.
arXiv Detail & Related papers (2024-06-15T01:05:56Z) - The Call for Socially Aware Language Technologies [94.6762219597438]
We argue that many of these issues share a common core: a lack of awareness of the factors, context, and implications of the social environment in which NLP operates.
We argue that substantial challenges remain for NLP to develop social awareness and that we are just at the beginning of a new era for the field.
arXiv Detail & Related papers (2024-05-03T18:12:39Z) - Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems [62.252355444948904]
This paper presents the findings of a literature review on the integration of edge intelligence (EI) and socialized learning (SL)
SL is a learning paradigm predicated on social principles and behaviors, aimed at amplifying the collaborative capacity and collective intelligence of agents.
We elaborate on three integrated components: socialized architecture, socialized training, and socialized inference, analyzing their strengths and weaknesses.
arXiv Detail & Related papers (2024-04-20T11:07:29Z) - Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions [67.60397632819202]
Building socially-intelligent AI agents (Social-AI) is a multidisciplinary, multimodal research goal.
We identify a set of underlying technical challenges and open questions for researchers across computing communities to advance Social-AI.
arXiv Detail & Related papers (2024-04-17T02:57:42Z) - 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) - Socially Responsible Computing in an Introductory Course [2.7426067696238468]
Given the potential for technology to inflict harm and injustice on society, it is imperative that we cultivate a sense of social responsibility among our students.
We piloted an introductory Java programming course in which activities engaging students in ethical and socially responsible considerations were integrated across modules.
The data from the class suggests that the students found the inclusion of the social context in the technical assignments to be more motivating and expressed greater agency in realizing social change.
arXiv Detail & Related papers (2024-01-02T16:52:50Z) - Are machine learning technologies ready to be used for humanitarian work
and development? [2.156882891331917]
Digital data sources and tools like machine learning (ML) and artificial intelligence (AI) have the potential to revolutionize data about development.
We argue that new technologies risk at best falling short of promised goals, at worst they can increase inequality, amplify discrimination, and infringe upon human rights.
arXiv Detail & Related papers (2023-07-04T19:32:35Z) - 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) - Responsible and Inclusive Technology Framework: A Formative Framework to
Promote Societal Considerations in Information Technology Contexts [1.9991645269305982]
This paper contributes a formative framework -- the Responsible and Inclusive Technology Framework -- that orients critical reflection around the social contexts of technology creation and use.
We expect that the implementation of the Responsible and Inclusive Technology framework, especially in business-to-business industry settings, will serve as a catalyst for more intentional and socially-grounded practices.
arXiv Detail & Related papers (2023-02-22T18:59:04Z) - Future Computer Systems and Networking Research in the Netherlands: A
Manifesto [137.47124933818066]
We draw attention to CompSys as a vital part of ICT.
Each of the Top Sectors of the Dutch Economy, each route in the National Research Agenda, and each of the UN Sustainable Development Goals pose challenges that cannot be addressed without CompSys advances.
arXiv Detail & Related papers (2022-05-26T11:02:29Z)
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.