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Toivola, Marika - Flipped Learning in Finland, ebook

Flipped Learning in Finland

Toivola, Marika

43,00€

The new book Flipped Learning in Finland provides an introduction to the concepts, theoretic background and practical implementation of flipped learning.
The Finnish school system is characterised by a powerful myth of how learning at school takes

Holmes, Jeffrey D. - Great Myths of Education and Learning, ebook

Great Myths of Education and Learning

Holmes, Jeffrey D.

95,35€

Great Myths of Education and Learning reviews the scientific research on a number of widely-held misconceptions pertaining to learning and education, from interventions designed to enhance intelligence in infants to strategies used in higher education.

Dehn, Milton J. - Essentials of Processing Assessment, ebook

Essentials of Processing Assessment

Dehn, Milton J.

48,60€

Fully updated and revised with the latest research findings and tests on brain-based assessment interventions, this unparalleled resource provides step-by-step guidelines for organizing a processing assessment, selecting appropriate instruments, interpreting results, and identifying

Batanero, Carmen - Teaching and Learning Stochastics, ebook

Teaching and Learning Stochastics

Batanero, Carmen

184,50€

Students’ Reflections About a Course for Learning Inferential Reasoning Via Simulations
Susanne Podworny
20. Prospective Teachers’ Probabilistic Reasoning in the Context of Sampling
Emilse Gómez-Torres, Carmen Díaz, José Miguel Contreras, Juan Jesús

Cress, Ulrike - The Psychology of Digital Learning, ebook

The Psychology of Digital Learning

Cress, Ulrike

123,00€

Learning from Multimedia: Cognitive Processes and Instructional Support
Katharina Scheiter, Anne Schüler, Alexander Eitel
2. The Physiology of Numerical Learning: From Neural Correlates to Embodied Trainings
Ursula

Schaathun, Hans Georg - Machine Learning in Image Steganalysis, ebook

Machine Learning in Image Steganalysis

Schaathun, Hans Georg

102,30€

This text will develop and formalize the applications of machine learning in steganalysis.  Researchers in steganalysis typically have a background in signal and image processing, or multimedia coding, and lack the high level statistical knowledge