Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Assessing students’ readiness for artificial intelligence-based project learning to strengthen local wisdom values in Indonesia
1
Zitationen
8
Autoren
2025
Jahr
Abstract
The integration of artificial intelligence (AI) into higher education is reshaping learning practices globally, including in Indonesia, where technological advancement intersects with the need to preserve local cultural values. This study examines Indonesian university students’ readiness for AI-based project learning that reinforces local wisdom. A quantitative survey was conducted across four universities to assess students’ technological literacy, attitudes toward AI in learning, and awareness of cultural value integration. The findings reveal that although students generally possess high levels of technological literacy, their readiness to apply AI-based project learning within culturally grounded contexts varies considerably. Key influencing factors include access to technological resources, prior exposure to AI applications, and institutional support. A significant positive correlation was identified between technological literacy and readiness, indicating that strengthening digital competence may enhance students’ preparedness for culturally contextualised AI learning. The study highlights the need for context-sensitive curricula and training that simultaneously foster technological fluency and cultural awareness, supporting inclusive and future-oriented educational practices.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.100 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.466 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.429 Zit.