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Titlebook: Artificial Intelligence for Supporting Human Cognition and Exploratory Learning in the Digital Age; Pedro Isaias,Demetrios G. Sampson,Dirk

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Understanding Primary Prevention within their research field. To address this issue, we examined the capabilities of InfraNodus, an AI-Powered text network analysis platform. InfraNodus promises to provide insights into any discourse, uncover blind spots, and enhance a scholar’s perspective by representing text as a network graph
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Attention-Deficit Hyperactivity DisorderPT and human authors. By analyzing token frequency and Shannon’s equitability values, the research identifies significant disparities in the distribution of token usage between the two sources. The findings indicate that Shannon’s equitability can potentially be a differentiating factor between text
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Attention-Deficit/Hyperactivity Disorder and labs, and then were asked to write a 300-word summary of the lesson content. Data consisted of the essays converted to networks and the end-of-unit multiple choice test. Comparing similarity to the expert network benchmark, the essay networks of those who received anchoring concepts were not si
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Handbook of Adolescent Behavioral Problemss scope, this chapter presents a comparative exploration of the role and impact of generative AI tools, specifically ChatGPT and the initially named Bard, now updated to Gemini, in the educational sector. Utilizing a scoping review, we delve into the nuances of AI-mediated learning by analyzing publ
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Disease Prevention in Adolescencedual students in programming practice classes. A survey filled by faculty members confirmed that the “understand students’ coding status” objective was sufficiently satisfied, and that the system helped faculty members provide appropriate guidance and timely advice to students. In addition, we creat
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Yifat Cohen,Anthony Spirito,Larry K. Browneetering on the brink of technological singularity. The focus is on examining the potential of narrative scenarios to prompt user-driven discussions, using Affective Computing as a case study. Affective Computing, a subfield of AI, is dedicated to recognizing, comprehending, and appropriately respon
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