Results 11 to 20 of about 20,948 (258)

Framework of AI Literacy for Multi-role Capabilities in Future Education: Based on Typical Cases of "AI + Higher Education" Application Scenarios [PDF]

open access: yesNongye tushu qingbao xuebao
[Purpose/Significance] AI literacy is becoming increasingly important, not only to adapt to the future development of higher education and the needs of future society, but also to cultivate innovative thinking and problem-solving skills, to enhance ...
Qiong LIU, Xing LIU, Guifeng LIU
doaj   +1 more source

Delphi study for the development and preliminary validation of an item set for the assessment of non-experts' AI literacy

open access: yesComputers and Education: Artificial Intelligence, 2023
Artificial intelligence literacy is a concept that has been the focus of exhaustive research recently. However, there are very few psychometrically sound and thoroughly evaluated instruments that attempt to assess AI literacy in a valid way.
Matthias Carl Laupichler   +2 more
doaj   +1 more source

Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities

open access: yesComputers and Education: Artificial Intelligence, 2023
Nowadays, Artificial Intelligence (AI) literacy has become an emerging topic in digital literacy education research. However, it is still under-explored in early childhood education (ECE) since the AI curriculum for young children has just been designed ...
Jiahong Su   +2 more
doaj   +1 more source

A critical review of teaching and learning artificial intelligence (AI) literacy: Developing an intelligence-based AI literacy framework for primary school education

open access: yesComputers and Education: Artificial Intelligence
Artificial intelligence (AI) literacy education mainly targets secondary and university students, often overlooking the unique needs of younger students.
Iris Heung Yue Yim
doaj   +1 more source

Developing a holistic AI literacy assessment matrix – Bridging generic, domain-specific, and ethical competencies

open access: yesComputers and Education Open
Motivated by a holistic understanding of AI literacy, this work presents an interdisciplinary effort to make AI literacy measurable in a comprehensive way, considering generic and domain-specific AI literacy as well as AI ethics.
Nils Knoth   +6 more
doaj   +1 more source

How AI literacy correlates with affective, behavioral, cognitive and contextual variables: A systematic review

open access: yesComputers and Education: Artificial Intelligence
This systematic review maps the empirical landscape of AI literacy by examining its correlations with a diverse array of affective, behavioral, cognitive and contextual variables.
Arne Bewersdorff   +2 more
doaj   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani   +3 more
wiley   +1 more source

Exploring artificial intelligence literacy among basic school teachers in Ghana

open access: yesDiscover Education
In the twenty-first century, it has become increasingly important for educators to familiarise themselves with “Artificial Intelligence (AI)”, given its growing influence in various fields, including education.
Valentina Arkorful   +9 more
doaj   +1 more source

AI literacy and trust: A multi-method study of Human-GAI team collaboration

open access: yesComputers in Human Behavior: Artificial Humans
As artificial intelligence (AI) becomes increasingly integrated into team settings for collaboration with humans, understanding the dynamics of trust and AI literacy is essential for enhancing team effectiveness.
Zilong Pan   +3 more
doaj   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

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