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To test the hypothesis that lecturing maximizes learning and course performance, we metaanalyzed 225 studies that reported data on examination scores or failure rates when comparing student performance in undergraduate s...

Family and community in and out of the classroom introduce the reader to the field of family engagement in mathematics teaching and learning processes. Scientific evidence collected by the European Union throughout many ...

A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Mach...

Many teaching practices implicitly assume that conceptual knowledge can be abstracted from the situations in which it is learned and used. This article argues that this assumption inevitably limits the effectiveness of s...

Previous article Next article Fractional Brownian Motions, Fractional Noises and ApplicationsBenoit B. Mandelbrot and John W. Van NessBenoit B. Mandelbrot and John W. Van Nesshttps://doi.org/10.1137/1010093PDFBibTexSecti...

Subjects / keywords: Calculus; Study and teaching (Higher); Learning, Psychology of; Mathematics; Philosophy

Subjects / keywords: Mathematical ability in children; Learning disabilities; Mathematics; Study and teaching (Early childhood); Spain; Electronic books

Subjects / keywords: Educational games; Games in mathematics education; Thought and thinking; Problems, exercises, etc; Cognitive learning; Electronic books

Subjects / keywords: Learning disabilities; Mathematics; Remedial teaching; Electronic books

Subjects / keywords: Mathematics; Study and teaching (Elementary); Inclusive education; Learning disabled children; Education (Elementary); Electronic books

Subjects / keywords: Learning, Psychology of; Mathematics; Study and teaching; Science

Subjects / keywords: Mathematics; Study and teaching; Neurosciences; Learning; Physiological aspects; Electronic books

Learning Vocabulary in Another Language provides a detailed survey of research and theory on the teaching and learning of vocabulary with the aim of providing pedagogical suggestions for both teachers and learners. It co...

With the continuous expansion of data availability in many large-scale, complex, and networked systems, such as surveillance, security, Internet, and finance, it becomes critical to advance the fundamental understanding ...

Transfer learning aims at improving the performance of target learners on target domains by transferring the knowledge contained in different but related source domains. In this way, the dependence on a large number of t...

A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. However, in many real-world applications, this...

Machine learning and data mining techniques have been used in numerous real-world applications. An assumption of traditional machine learning methodologies is the training data and testing data are taken from the same do...

The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward by investigating the construc...

The popular Q-learning algorithm is known to overestimate action values under certain conditions. It was not previously known whether, in practice, such overestimations are common, whether they harm performance, and whet...

Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasingly important to be...

Abstract This study examines the evidence for the effectiveness of active learning. It defines the common forms of active learning most relevant for engineering faculty and critically examines the core element of each me...

A correlational study examined relationships between motivational orientation, self-regulated learning, and classroom academic performance for 173 seventh graders from eight science and seven English classes. A self-repo...

This paper surveys the field of reinforcement learning from a computer-science perspective. It is written to be accessible to researchers familiar with machine learning. Both the historical basis of the field and a broad...

In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the most widely used computational approach in ...