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This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage’s different perspectives on the event by assessing how articles portray the persons involved in the event. In contrast to prior automated approaches, the identified frames are mo…
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This book aims to meet the demands on teaching and learning in the twenty-first century, and in specific, how teacher education may transform pedagogical approaches and didactic methods to support future teachers in enhancing needful skills. In particular, it focuses on the pedagogical approach of Storyline, and how a Storyline can be applied in teacher education. It argues that teacher educati…
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This Topical Collection focuses on fundamental and applied research on deep learning based visual sensing, imaging and video processing. Deep learning techniques have shown their capabilities to discover knowledge from massive unstructured data, providing data-driven solutions for representation and decision making. They have demonstrated significant technical advancement potential for many res…
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This open access book discusses why the seemingly straightforward strategy of teaching children how to think deeply does not work and offers an alternative way forward for the curriculum to achieve these objectives. Over the years, the role of knowledge in the curriculum has, like a pendulum, shifted between two extremes, from highly visible to virtually invisible knowledge elements. Insights f…
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An intelligent virtual assistant (IVA) or intelligent personal assistant (IPA) is a software agent that can perform tasks or services for an individual based on commands or questions. Improving the quality of artificial intelligence (AI) learning algorithms increases the application of IVAs in different areas. The capabilities and usage of IVAs are expanding rapidly. IVAs, such as Siri, Alexa, …
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Computational Intelligence (CI) is the theory, design, application, and development of biologically and linguistically motivated computational paradigms. Traditionally, the three main pillars of CI have been neural networks, fuzzy systems, and evolutionary computation. However, in time, many nature-inspired computing paradigms have evolved. Thus, CI is an evolving field, and, at present, in add…
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Deeper learning, dialogic learning, and critical thinking are essential capabilities in the 21st-century environments we now operate. Apart from being important in themselves, they are also crucial in enabling the acquisition of many other 21st-century skills/capabilities such as problem solving, collaborative learning, innovation, information and media literacy, and so on. However, the majorit…
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This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtu…
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As increasingly sophisticated and evasive malware attacks continue to emerge, more effective detection solutions to tackle the problem are being sought through the application of advanced machine learning techniques. This reprint presents several advances in the field including: a new method of generating adversarial samples through byte sequence feature extraction using deep learning; a state-…
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In this era of rapid technological evolution, the landscape of education continually transforms. This compilation is a timely endeavor, capturing the intersection of technology and learning, a synergy pivotal for the future. This anthology, a mosaic of innovation and insight, beckons readers to witness the dawn of a transformative epoch in education.