Making Data Work: Using Conversation and Interaction Analysis to Study Data Science Education
ABSTRACT This article presents a methodological approach that combines conversation analysis (CA) and interaction analysis (IA) to examine how students reason with data in collaborative settings, using food justice as an illustrative case. While traditional analytical approaches in data science education often rely on individual cognitive measures or ...
Marc T. Sager
wiley +1 more source
Meritocracy, Recognition and Double Consciousness: Why Black and Muslim Italians Move to (and Sometimes Leave) Post-Brexit Britain. [PDF]
Varriale S, Franceschelli M.
europepmc +1 more source
Do Sovereign‐Environmental, Social and Governance (S‐ESG) Commitments Promote Financial Inclusion?
ABSTRACT Given the need to respect humanity, the environment, and society, and the progressive development of social responsibility, environmental, social and governance (ESG) commitments and the need for ethical and sustainable finance, this paper aims to examine the impact of sovereign ESG on financial inclusion (FI).
Inès Gharbi +2 more
wiley +1 more source
An Extended Epistemic Framework Beyond Probability for Quantum Information Processing with Applications in Security, Artificial Intelligence, and Financial Computing. [PDF]
Iovane G.
europepmc +1 more source
Guanxi and Wasta: 20 Years of Evolution and Future Directions for Informal Network Research
ABSTRACT This article provides an examination of the evolution of networking in China and the Arab world over two decades and provides an update to, and new insights arising from, an article called Guanxi and Wasta; A Comparison, published in Thunderbird International Business Review in 2006.
Kate Hutchings +3 more
wiley +1 more source
Takagi-Sugeno Fuzzy Nonlinear Control System for Optical Interferometry. [PDF]
Coradini MF +4 more
europepmc +1 more source
Editorial: Sport practice and physical activity-the social function of sport in contemporary societies. [PDF]
Moreira Gregori P, Martin JC.
europepmc +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
An AI-driven tools assessment framework for english teachers using the Fuzzy Delphi algorithm and deep learning. [PDF]
Yu M.
europepmc +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source

