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  • Adversarial AI Threat Response and Secure Model Design

    Practical Techniques for Detecting, Preventing, and Managing AI Vulnerabilities

    Series series Professional and Applied Computing (R0)
    As artificial intelligence becomes embedded in everything from healthcare diagnostics to financial systems and autonomous vehicles, the stakes for AI security have never been higher. Adversarial AI Threat Response and Secure Model Design is your essential guide to understanding, defending against, and designing resilient machine learning systems in the face of growing adversarial threats.Written ... Read more

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  • AI-Assisted Assessment in Education

    Transforming Assessment and Measuring Learning

    Series series Education (R0)
    This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques, and the practical implementation of AI tools in ... Read more

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  • Designing Context-Rich Learning by Extending Reality

    Edited by Jason Braun, Goran Trajkovski ...
    Simulations, games, and real or virtual apprenticeships are the kinds of context-rich learning environments that leverage the power of episodic memory, boost student motivation, and create the conditions that make learning transfer more likely. Context-rich learning embodies the answer to the question, “Why do we need to learn this?” Many students, especially those who have dyslexia or otherwise ... Read more

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  • Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics

    In the modern data-driven era, artificial intelligence (AI) and machine learning (ML) technologies that allow a computer to mimic intelligent human behavior are essential for organizations to achieve business excellence and assist organizations in extracting useful information from raw data. AI and ML have existed for decades, but in the age of big data, this sort of analysis is in higher demand ... Read more

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  • Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan

    Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. ... Read more

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  • Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications

    Edited by Goran Trajkovski ...
    Agent technologies and multi-agent systems is an emerging field of study that is unique in the sense that all efforts to build this discipline unite knowledge from different areas of study. Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications discusses research on emerging technologies and systems based on agent and multi-agent paradigms across various ... Read more

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  • Early Warning Systems and Targeted Interventions for Student Success in Online Courses

    Edited by Danny Glick, Anat Cohen, Chi Chang ...
    Online learning has increasingly been viewed as a possible way to remove barriers associated with traditional face-to-face teaching, such as overcrowded classrooms and shortage of certified teachers. While online learning has been recognized as a possible approach to deliver more desirable learning outcomes, close to half of online students drop out as a result of student-related, course-related, ... Read more

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  • Teaching and Learning in the Age of Generative AI

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  • Learning Online

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  • Artificial Intelligence based Solutions for Industrial Applications

    Series series Computational Methods for Industrial Applications
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  • Computer Science Education

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