Data-driven learning - Open Access .click

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Data-driven learning: Technology-enhanced learning of semantic prosody

ALSIC: Apprentissage des Langues et Systèmes d'Information et de Communication
This exploratory study investigated the use of technology-enhanced activities to teach the semantic prosody of certain English expressions through a method known as Data-driven learning (DDL).
Jarvis Looi, Alessandra Cacciato
doaj +1 more source

Emerging insights into CC and CXC chemokines and their receptors in Mycobacterium tuberculosis infection

FEBS Open Bio, EarlyView.
The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley +1 more source

Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design

, 2022
Accelerated materials development with machine learning (ML) assisted screening and high throughput experimentation for new photovoltaic materials holds the key to addressing our grand energy challenges.
Xu, Qiang +4 more
core +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak +2 more
wiley +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source

Data-Driven Modeling in Geomechanics

The framework of data-driven computational mechanics offers a novel avenue to solve problems in geomechanics, including challenging ones that involve failure and localized deformation.
Karapiperis, Konstantinos
core +1 more source

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source

Data-Driven Learning and vocabulary teaching: a study on collocations [PDF]

openThis dissertation investigates the integration of Data Driven Learning (DDL) methodology in vocabulary acquisition, with a specific emphasis on collocations.
ZAMPAGLIONE, SIMONA
core

Data-Driven Learning of Geometric Scattering Networks

CoRR, 2020
6 pages, 2 figures, 3 tables, Presented at IEEE MLSP ...
Alexander Tong 0001 +4 more
openaire +2 more sources

Breaking the Stereotype of Data Driven Learning: Students’ Experiences of Mobile Data-Driven Learning in a Developing Country

SAGE Open
This study investigated students’ attitudes towards using mobile- data-driven learning (M-DDL) to support their writing instruction within resource-constrained environments.
Amel Lusta, Özcan Demirel, Behbood Mohammadzadeh +2 more
doaj +1 more source

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