Articles

Reflecting on Social Learning Tools to Enhance the Teaching-Learning Experience of Generation Z Learners

in Digital Education

• Elizelle Juanee Cilliers

Machine learning tools for deciphering the regulatory logic of enhancers in health and disease

in Human and Medical Genomics

• Spyros Foutadakis
• Vasiliki Bourika
• Ioanna Styliara
• Panagiotis Koufargyris
• Asimina Safarika
• Eleni Karakike

How Do Technology-Enhanced Learning Tools Support Critical Thinking?

in Digital Education

• Nguyen-Thinh Le

In search of finalizing and validating digital learning tools supporting all in acquiring full literacy

in Educational Psychology

• Heikki Lyytinen
• Natalia Louleli

Challenge of Helping Introductory Physics Students Transfer Their Learning by Engaging with a Self-Paced Learning Tutorial

in Digital Education

• Emily Megan Marshman
• Seth DeVore
• Chandralekha Singh

Machine learning approaches to cryoEM density modification differentially affect biomacromolecule and ligand density quality

in Structural Biology

• Raymond F. Berkeley
• Brian D. Cook
• Mark A. Herzik

Analysis of Decision-Making Process Using Methods of Quantitative Electroencephalography and Machine Learning Tools

• Grzegorz M. Wojcik
• Jolanta Masiak
• Andrzej Kawiak
• Lukasz Kwasniewicz
• Piotr Schneider
• Filip Postepski
• Anna Gajos-Balinska

The Development of a Multidimensional Diagnostic Assessment With Learning Tools to Improve 3-D Mental Rotation Skills

in Quantitative Psychology and Measurement

• Shiyu Wang
• Yiling Hu
• Qi Wang
• Bian Wu
• Yawei Shen
• Martha Carr

Classical and machine learning tools for identifying yellow-seeded Brassica napus by fusion of hyperspectral features

in Genomics of Plants and the Phytoecosystem

• Fan Liu
• Fang Wang
• Zaiqi Zhang
• Liang Cao
• Jinran Wu
• You-Gan Wang

Broadening Perspectives on Broadening Participation: Professional Learning Tools for More Expansive and Equitable Science Communication

in Science and Environmental Communication

• Bronwyn Bevan
• Angela Calabrese Barton
• Cecilia Garibay

Machine Learning in Action: Stroke Diagnosis and Outcome Prediction

in Stroke

• Shraddha Mainali
• Marin E. Darsie
• Keaton S. Smetana

Ion Mobility Coupled to a Time-of-Flight Mass Analyzer Combined With Fragment Intensity Predictions Improves Identification of Classical Bioactive Peptides and Small Open Reading Frame-Encoded Peptides

in Signaling

• Marlies K. R. Peeters
• Geert Baggerman
• Ralf Gabriels
• Elise Pepermans
• Gerben Menschaert
• Kurt Boonen

An Exploration of the Potential of Machine Learning Tools for Media Analysis to Support Sense-Making Processes in Foresight

in Science and Environmental Communication

• Michela Vignoli
• Jan Rörden
• Dana Wasserbacher
• Simone Kimpeler

Virtual Physical Education During COVID-19: Exploring Future Directions for Equitable Online Learning Tools

in Physical Education and Pedagogy

• Emily M. D'Agostino
• Mark Urtel
• Collin A. Webster
• Jaimie McMullen
• Brian Culp

Detection of Mycobacterium avium ssp. paratuberculosis in Cultures From Fecal and Tissue Samples Using VOC Analysis and Machine Learning Tools

in Veterinary Infectious Diseases

• Philipp Vitense
• Elisa Kasbohm
• Anne Klassen
• Peter Gierschner
• Phillip Trefz
• Michael Weber
• Wolfram Miekisch
• Jochen K. Schubert
• Petra Möbius
• Petra Reinhold

Demystifying image-based machine learning: a practical guide to automated analysis of field imagery using modern machine learning tools

in Ocean Observation

• Byron T. Belcher
• Eliana H. Bower
• Benjamin Burford
• Maria Rosa Celis
• Ashkaan K. Fahimipour
• Isabela L. Guevara
• Kakani Katija
• Zulekha Khokhar
• Anjana Manjunath
• Samuel Nelson