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Mitigating the Negative Impacts when Designing Educational VR Applications for Children

Mitigating the Negative Impacts when Designing Educational VR Applications for Children

Abstract Educational VR applications, mainly designed for children, are often used to showcase the benefits of VR. While such applications highlight a lot of the potentials for future learning environments, […]

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A Framework of Touchscreen Interaction Design Recommendations for Children (TIDRC): Characterizing the Gap between Research Evidence and Design Practice

A Framework of Touchscreen Interaction Design Recommendations for Children (TIDRC): Characterizing the Gap between Research Evidence and Design Practice

ABSTRACT HCI researchers have established a number of evidence-based design recommendations for children’s touchscreen interfaces based on developmental appropriateness. Yet, these recommendations are scattered within the academic literature and lack

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Learning Through Exploration: How Children, Adults, and Older Adults Interact with a New Feature-Rich Application

Learning Through Exploration: How Children, Adults, and Older Adults Interact with a New Feature-Rich Application

ABSTRACT Feature-rich applications such as word processors and spreadsheets are not only being used by adults but increasingly by children and older adults as well. Learning these applications is challenging

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ibn sina

Philosophy of love from Ibn Sina’s point of view

Ibn Sina’s treatise on love explains one of the most powerful forces in the world of creation. Following his Greek and Islamic predecessors, he explains love in ontological terms: love penetrates everything. It is God’s infinite love that has caused the existence of all things.

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Classification of Grape Leaves using KNN and SVM Classifiers

Classification of Grape Leaves using KNN and SVM Classifiers

Abstract As it is known, in today’s world gross domestic product (GDP) determines the prosperity of a nation. Agriculture directly adds to the GDP, subsequently, incredible endeavors are to be

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Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

Abstract Rotating machinery fault diagnosis problems have been well-addressed when sufficient supervised data of the tested machine are available using the latest data-driven methods. However, it is still challenging to

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Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-determination Theory Perspective

Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-determination Theory Perspective

Abstract The teaching of artificial intelligence (AI) topics in school curricula is an important global strategic initiative in educating the next generation. As AI technologies are new to K-12 schools,

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Machine Learning Security: Threats, Countermeasures, and Evaluations

Machine Learning Security: Threats, Countermeasures, and Evaluations

Abstract Machine learning has been pervasively used in a wide range of applications due to its technical breakthroughs in recent years. It has demonstrated significant success in dealing with various

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Teaching and learning with children: Impact of reciprocal peer learning with a social robot on children’s learning and emotive engagement

Teaching and learning with children: Impact of reciprocal peer learning with a social robot on children’s learning and emotive engagement

Abstract Pedagogical agents are typically designed to take on a single role: either as a tutor who guides and instructs the student or as a tutee that learns from the

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