Results 211 to 220 of about 180,150 (303)

“THE NORMAL EXCEPTION”: EDOARDO GRENDI, MICROANALYSIS, AND GENERALIZATIONS*

open access: yesHistory and Theory, EarlyView.
ABSTRACT “The normal exception” has long been a slogan of microhistory. This oxymoronic phrase is the iconic rendering of an incidental sentence that appeared in a 1977 article by Edoardo Grendi. His article, titled “Micro‐analisi e storia sociale” (Microanalysis and Social History), is cited more often than it is read.
FRANCESCA TRIVELLATO
wiley   +1 more source

Janet Malcolm's Self‐Portrait

open access: yes
Critical Quarterly, EarlyView.
Jerome Boyd Maunsell
wiley   +1 more source

Advancing dental education with technology: The integration of smartphone applications in endodontics–A narrative review

open access: yesInternational Endodontic Journal, EarlyView.
Abstract Background Smartphone applications are increasingly used in medical and dental education, offering flexible and interactive learning opportunities. In medicine, these tools enhance knowledge retention, clinical decision‐making, and patient care. Objective This review aims to evaluate the role of smartphone applications in endodontic education,
Seyed AmirHossein Ourang   +4 more
wiley   +1 more source

Pre‐Task Explicit Instruction, Input Modality, and Working Memory in L2 Oral Self‐Repair

open access: yesInternational Journal of Applied Linguistics, EarlyView.
ABSTRACT Despite the central role of tasks in language education and ensuing research documenting how task‐related variables might affect language performance and learning, it remains unclear whether pre‐task explicit instruction, input modality, and working memory (WM) influence how learners monitor and repair grammatical structures in real‐time ...
Reza Yadollahpour   +2 more
wiley   +1 more source

Catch Me If You Can: The Dynamic Nature of Bias in Machine Learning Applications

open access: yesInformation Systems Journal, EarlyView.
ABSTRACT Bias in machine learning (ML) applications represents systematic differences between expected and actual values of the predicted outputs, such that certain individuals or groups are systematically and disproportionately (dis)advantaged. This paper investigates the dynamic nature of bias in ML applications.
Monideepa Tarafdar, Irina Rets, Yang Hu
wiley   +1 more source

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