Results 51 to 60 of about 144,975 (208)

Navigating AI with pedagogical purpose: Toward an anatomy‐centered framework for AI‐enhanced learning

Anatomical Sciences Education, EarlyView.
Abstract Artificial Intelligence (AI) has emerged as a transformative force in medical education, enabling customized, feedback‐rich, and immersive learning experiences. Anatomy education, as a discipline that is simultaneously visual, spatial, and clinically foundational, occupies a distinctive position within this technological landscape.
Rachel Jayasekhar, Gok Kandasamy
wiley   +1 more source

Experiências, conhecimento fenomenal e materialismo

Principia: An International Journal of Epistemology, 2011
The claim that at least some of our mental states have qualitative, phenomenal features to which we have privileged cognitive access is intuitively plausible.
Julia Telles Menezes, Wilson Mendonça
doaj  

Training the morphological mindset: An educational framework for teaching morphological reasoning in the laboratory

Anatomical Sciences Education, EarlyView.
The graphic summarizes the proposed shift from image recognition to morphological reasoning through an iterative process of observation, description, interpretation, integration, and questioning across anatomical, histological, and ultrastructural scales.
Katia Cortese
wiley   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Cross‐disciplinary integration: Information practices and a role for information scholars. An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley   +1 more source

Affective dimensions in the information behavior of forcibly displaced people: A literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley   +1 more source

Critical questions for documenting collections as data: Provocations from developing datasheets for web archives datasets

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Scholarship on documentation of datasets is increasingly concerned with capturing the context, socio‐technical processes, and decisions shaping data. “Datasheets for datasets” is a recent approach developed by researchers in machine learning that foregrounds transparency and uncovering bias through data documentation.
Emily Maemura, Helena Byrne
wiley   +1 more source

Epistemic Contextualism: A Defense [PDF]

, 2016
This book develops and defends a version of epistemic contextualism, that is, of the view that the truth conditions or the meaning of knowledge attributions of the form “S knows that p” can vary with the context of the attributor.
Baumann, Peter
core   +1 more source

Conceptualizing algorithmic inequality and future agenda. An annual review of information science and technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The issue of inequality caused by algorithms, termed ‘algorithmic inequality’, has recently attracted scholarly attention in many disciplines due to its profound implications for society. While the body of literature on algorithmic inequality has grown, there remains a lack of comprehensive understanding of its nature, drivers, and impact ...
Shiwei Jia, Jia Tina Du, Hui Yan
wiley   +1 more source

String Figuring young children's perspectives of quality in English early childhood education and care

British Educational Research Journal, EarlyView.
Abstract Quality in early childhood education and care (ECEC) is a contested concept and has generally been conceptualised by inter‐related indicators such as staff qualifications, educational environment, policy or child‐to‐staff ratios. There has been a more limited emphasis on how young children might perceive and experience quality.
Nikki Fairchild, Éva Mikuska
wiley   +1 more source