A Greed(y) Training Strategy to Attract High School Girls to Undertake Studies in ICT

• URL: http://arxiv.org/abs/2302.06304v1
• Date: Mon, 13 Feb 2023 12:07:04 GMT
• Title: A Greed(y) Training Strategy to Attract High School Girls to Undertake Studies in ICT
• Authors: Tiziana Catarci and Barbara Polidori and Daniel Raffini and Paola Velardi
• Abstract summary: The scarcity of women in ICT has a tangible negative impact on countries' technological innovation. We describe a strategy, and the details of a number of programs coordinated by the Engineering and Computer Science Departments at Sapienza University.
• Score: 1.7549208519206605
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: It has been observed in many studies that female students in general are unwilling to undertake a course of study in ICT. Recent literature has also pointed out that undermining the prejudices of girls with respect to these disciplines is very difficult in adolescence, suggesting that, to be effective, awareness programs on computer disciplines should be offered in pre-school or lower school age. On the other hand, even assuming that large-scale computer literacy programs can be immediately activated in lower schools and kindergartens, we can't wait for >15-20 years before we can appreciate the effectiveness of these programs. The scarcity of women in ICT has a tangible negative impact on countries' technological innovation, which requires immediate action. In this paper, we describe a strategy, and the details of a number of programs coordinated by the Engineering and Computer Science Departments at Sapienza University, to make high school girl students aware of the importance of new technologies and ICT. In addition to describing the theoretical approach, the paper offers some project examples.

Related papers

• Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Storytelling and Reading Activities [54.8155184348616]
  New advances in artificial intelligence have sparked a surge of AI-based storytelling technologies. This paper investigates how they function in practical storytelling scenarios and how parents, the most critical stakeholders, experience and perceive them. Our findings suggest that even though AI-based storytelling technologies provide more immersive and engaging interaction, they still cannot meet parents' expectations.
  arXiv  Detail & Related papers  (2024-01-24T20:55:40Z)
• Towards Goal-oriented Intelligent Tutoring Systems in Online Education [69.06930979754627]
  We propose a new task, named Goal-oriented Intelligent Tutoring Systems (GITS) GITS aims to enable the student's mastery of a designated concept by strategically planning a customized sequence of exercises and assessment. We propose a novel graph-based reinforcement learning framework, named Planning-Assessment-Interaction (PAI)
  arXiv  Detail & Related papers  (2023-12-03T12:37:16Z)
• On the Opportunities of Green Computing: A Survey [80.21955522431168]
  Artificial Intelligence (AI) has achieved significant advancements in technology and research with the development over several decades. The needs for high computing power brings higher carbon emission and undermines research fairness. To tackle the challenges of computing resources and environmental impact of AI, Green Computing has become a hot research topic.
  arXiv  Detail & Related papers  (2023-11-01T11:16:41Z)
• Transitioning To The Digital Generation Case Studies (Previous Digital Point Studies In Japan Cases:1993-2023) [0.0]
  We discuss at The 8th International Workshop on Application of Big Data for Computational Social Science, October 26-29, 2023, Venice, Italy. To achieve the realization of the Global and Innovation Gateway for All (GIGA) initiative, a movement has emerged to utilize information and communication technology (ICT) in the field of education. We discuss the usage dynamics of smartphone-based learning applications among young people and their current status.
  arXiv  Detail & Related papers  (2023-09-21T16:23:40Z)
• Brain-Inspired Computational Intelligence via Predictive Coding [89.6335791546526]
  Predictive coding (PC) has shown promising performance in machine intelligence tasks. PC can model information processing in different brain areas, can be used in cognitive control and robotics.
  arXiv  Detail & Related papers  (2023-08-15T16:37:16Z)
• 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)
• Assessment on LSPU-SPCC Students Readiness towards M-learning [0.0]
  The Commission on Higher Education said that colleges and universities following the new school calendar will no longer require students to attend face-to-face classes. This study aims to determine the readiness of the students in shifting to m-learning. It was determined that almost all of the students own mobile devices, are fully equipped with applications, have high technological skills and are quite ready in terms of psychological readiness.
  arXiv  Detail & Related papers  (2022-04-04T09:07:11Z)
• Disadvantaged students increase their academic performance through collective intelligence exposure in emergency remote learning due to COVID 19 [105.54048699217668]
  During the COVID-19 crisis, educational institutions worldwide shifted from face-to-face instruction to emergency remote teaching (ERT) modalities. We analyzed data on 7,528 undergraduate students and found that cooperative and consensus dynamics among students in discussion forums positively affect their final GPA. Using natural language processing, we show that first-year students with low academic performance during high school are exposed to more content-intensive posts in discussion forums.
  arXiv  Detail & Related papers  (2022-03-10T20:23:38Z)
• For Better or for Worse? A Framework for Critical Analysis of ICT4D for Women [0.0]
  As ICT diffusion widens, there is a persistent threat of widening the gender-based digital divide. This paper develops a critical research framework for a gender-focused examination of ICT4D studies.
  arXiv  Detail & Related papers  (2021-08-23T05:42:24Z)
• A Resilient ICT4D Approach to ECO Countries' Education Response during COVID-19 Pandemic [0.0]
  This report introduces a project on Emergency Remote Teaching measures in the ten member states of the Economic Cooperation Organization (ECO) It focuses on the application of Information and Communication Technologies (ICTs) in primary and secondary education levels. The project takes a comparative approach within a resilient ICT-for-Development (ICT4D) framework.
  arXiv  Detail & Related papers  (2021-08-22T14:53:10Z)
• Beyond STEM, How Can Women Engage Big Data, Analytics, Robotics and Artificial Intelligence? An Exploratory Analysis of Confidence and Educational Factors in the Emerging Technology Waves Influencing the Role of, and Impact Upon, Women [0.0]
  The professional participation of women in technology, big data, analytics, artificial intelligence and information systems related domains remains proportionately low. We identify ways for learning and self-efficacy as key factors, which together lead us to the Advancement of Women in Technology (AWT) insights framework. Based on the AWT framework, we also proposition principles that can be used to encourage higher professional engagement of women in emerging and advanced technologies.
  arXiv  Detail & Related papers  (2020-03-26T05:12:42Z)

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.