An Insight into Cultural Competence and Ethics in K-12 Artificial Intelligence Education

Abstract

As artificial intelligence education (AI) continues to be integrated into the mainstream educational system across countries, cultural competence and ethical considerations should be emphasized to ensure effective AI learning. Literatures has established that integrating elements of cultural competence within technology mediums has helped students understand difficult topics from computer science concepts learned in class. It is also argued that student with an ethical orientation of AI education is more likely to learn more about impacts and implications of AI. Hence, this study was conducted to understand how students' cultural competence, and ethics combine to influence AI content. We surveyed Nigerian high school students after an experimental teaching session. A total of 596 students provided useful responses for the analysis that was done using WarpLS software. We performed structural equation modelling to understand the relationship among the variables utilized in the study. The result shows that cultural competence and ethics significantly influence AI content. This study's results further shows that the association between ethics of AI and AI content has the highest predictive value which emphases the vital role of ethics in AI learning. This study also tested school location differences in the research model and discovered that urban students' perception is higher than their rural counterpart on the adopted variables in relation to AI content. Overall, the results suggest that stakeholders and educators should emphasize cultural elements and humanistic thinking as well as ethical considerations in the design of AI content and instructional materials. We discuss the findings and propose future directions.

Ethical AI in practice: Balancing technological advancements with human values

“…The findings suggest that emphasizing cultural elements and humanistic thinking, along with ethical considerations, is crucial in designing AI content and instructional materials. This approach ensures that AI education is inclusive and considers the diverse cultural backgrounds of students (Sanusi & Olaleye, 2022). Kassens-Noor, Siegel and Decaminada (2021) discuss the choice between ethics and morals as a determinant in embracing AI in future urban mobility.…”

Uncovering Blind Spots in Education Ethics: Insights from a Systematic Literature Review on Artificial Intelligence in Education

“…This imperatively requires the choice of suitable workaround solutions or the omission of facial recognition (Coghlan et al, 2021). Sanusi and Olaleye (2022) discuss the role of cultural competence and ethics in AI education, and how these factors influence students' learning of AI. It also touches upon the disparities between rural and urban students in terms of cultural and ethical competence.…”

Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective

“…Other keywords that appear together with the "K-12" keyword include machine learning, computer education, computational thinking, classification, ethics, and robotics, which appeared as early as 2018. The combination of these keywords indicates that in the K-12 education stage, the content of artificial intelligence courses is more about cultivating primary and secondary school students' interest, information awareness, and computational thinking about artificial intelligence technology in the intelligence era through computer education and basic machine learning knowledge while paying attention to the understanding of social and ethical issues of artificial intelligence in primary and secondary schools so as to cultivate students' core academic literacy in artificial intelligence [65,66].…”