Results 231 to 240 of about 186,500 (318)

Two orders of wall‐to‐wall geographic data

open access: yesArea, EarlyView.
Short Abstract The use of the term ‘wall‐to‐wall’ to describe geographically extensive data without any singular definition in the remote sensing and geographically related analysis. This work presents an assessment of the application of the term in the scientific literature. Abstract From personal observations of recent published works, the term “wall‐
Pete Bettinger   +2 more
wiley   +1 more source

Being land, becoming research: Relational and Country‐led accountability in research outputs and milestones

open access: yesArea, EarlyView.
Abstract This paper invites you into conversation about research accountability grounded in relationality and led by Gumbaynggirr Ngambaa ways of knowing. From this place in so‐called Australia, accountability is not a static or bureaucratic process, but an embodied living practice of respect, guided by existing protocols and relationships with and as ...
Liz Murphy‐May   +6 more
wiley   +1 more source

Supporting learner agency in collaborative writing with generative AI

open access: yesBritish Journal of Educational Technology, EarlyView.
Abstract To support learner agency in LLM‐powered writing environments, this research introduces a new interface that integrates two key features: an Argument Outline and a Similarity Viewer. These features were designed to enhance intentionality in writing and self‐monitoring of reliance on AI‐generated suggestions.
Sujin Kim, Hyo‐Jeong So, Kyudong Park
wiley   +1 more source

Transcription, Maturation and Degradation of Mitochondrial RNA: Implications for Innate Immune Response. [PDF]

open access: yesBiomolecules
Yan C   +9 more
europepmc   +1 more source

From simplification to sophistication: Secondary students' conceptual change in understanding machine learning model decision making

open access: yesBritish Journal of Educational Technology, EarlyView.
Abstract As artificial intelligence (AI) reshapes the educational landscape, promoting AI literacy in secondary education has become increasingly important. Understanding how secondary students perceive AI, particularly the machine learning (ML) decision‐making process, is critical for equipping them to navigate an AI‐driven future.
Liu Dong   +4 more
wiley   +1 more source

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