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Theories of Consciousness

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Explore 10 major philosophical theories of consciousness, from Descartes’ groundbreaking dualism and Chalmers’ challenging hard problem to the dynamic perspectives of enactivist approaches. This lucid and comprehensive guide unpacks how thinkers have grappled with the enigma of subjective experience—revealing why consciousness remains one of the deepest puzzles at the intersection of science, philosophy, and the study of the mind. Perfect for anyone curious about how our inner world defies easy explanation and continues to challenge both empirical research and metaphysical thought.

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Consciousness

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Explore David Chalmers’s revolutionary ideas on consciousness, the Hard Problem, and why subjective experience challenges today’s neuroscience. A lucid guide to naturalistic dualism, AI implications, and the future of mind science. Learn how Chalmers reframes consciousness as a fundamental feature of the universe—and why this shift may redefine both ethics and artificial intelligence.

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The 7 Steps of Qualitative Data Analysis

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Are you juggling heaps of interviews and notes without knowing where to start? This quick guide walks you through seven concrete steps to tackle qualitative data—from organizing and labeling files to weaving themes into a clear narrative. Discover how real teachers overcame technology roadblocks through collaboration, and learn how to apply an analytic framework to make sense of it all. Whether you’re new to research or a seasoned pro, these tips will help you turn a mountain of raw words into impactful insights.

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USP Polls

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Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
This post also provides a poll on Artificial Intelligence and Journalism.

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Introduction to Quantitative Analysis

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Quantitative analyses of data involve two kinds of statistical tools. Descriptive statistics are designed to help summarize some collection of information. This is contrasted with inferential statistics, which, as the term suggests, are tools to help researchers use sample data to draw conclusions about populations. This process usually involves assessing the probability that samples were

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