Forced migration can bring adults who have previously been denied formal education and print literacy into contact with highly technological and literacy dependent societies that lack the knowledge and expertise to cater to them as simultaneous learners of language and literacy. As educational disadvantages are often conditioned by gender, many of these learners are also women and mothers who may continue to have fewer opportunities to engage in education after settlement due to their gender and life roles.
This research highlights how how diversity is, and has been, defined, explained and enacted in the context of schooling.
We’re passionate about helping students learn more about STEM, and through our academic program we give students the opportunity to collaborate on STEM-related projects involving innovative technologies like data analytics, robotics and AI. Since 2011, we have partnered with a number of universities to sponsor research projects, internships, robotics teams, scholarships, and other educational programs that provide students with access to hands-on learning and real-world engineering experience.
Born from the deep data analysis experience of LexisNexis® Risk Solutions, HPCC Systems® is a proven, open source solution for Big Data insights that can be implemented by businesses of all sizes. With HPCC Systems®, developers can design applications with Big Data at their core, enabling businesses to better analyze and understand data at scale. HPCC Systems® offers a consistent data-centric programming language, two processing platforms and a single, complete end-to-end architecture for efficient processing. Access to open source Big Data technology is vital for SDG 4 Quality education and SDG 9 Industry, innovation and infrastructure.
This case study of K-12 educators in British Columbia explores how teachers’ motivations influence their approaches to food systems education. Findings reveal a strong emphasis on helping students understand food’s role in sustainability and its links to environmental, economic, and social issues. The study highlights how educators’ intentions shape the practices they adopt in teaching about food systems.
Utilizing critical discourse analysis, this study explored how teacher candidates from Türkiye (TCTs) (re)produced the East/West binary extant in hegemonic socio-economic and sociopolitical discourses while discussing educational and gender inequalities during telecollaboration with their peers from the US.
RELX SDG Inspiration Day 2024: Leading edge discussion on AI for sustainable development: the risks and opportunities
The tenth RELX SDG Inspiration Day - a free, online event for thought leaders, corporate representatives, students, investors, government and NGOs to explore issues, gain practical insights and be inspired to take action in support of the UN Sustainable Development Goals.
AI holds tremendous potential for advancing the United Nations Sustainable Development Goals (SDGs). AI, particularly generative AI, provides new opportunities to analyse data and trends at pace a
Since 2017 HPCC Systems has taken part in Kennesaw State University’s annual Hackathon for Social Good held at the Joe Mack Wilson Student Center, Marietta Campus. The goal of this hackathon is to connect students with companies through workshops and mentoring to achieve a final product that can in some way help the community. This year was no different and in fact, was the most in-depth challenge HPCC Systems has offered so far. This year the Help Missing Kids Challenge was introduced.
This study explored talent in adolescents with intellectual disability (ID) by comparing those with and without drawing ability, examining both specific artistic skills and broader cognitive abilities. Results showed that adolescents with ID who have drawing talent also demonstrated higher fluid intelligence, cognitive flexibility, and creative thinking, with participation in art classes further enhancing their artistic performance. The findings support a global view of talent and suggest that giftedness models, such as Renzulli�s three-ring model, may be relevant for individuals with ID.
