军事教育中的数据力量:对学习分析的认识和理解

Darko Ščavničar
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引用次数: 0

摘要

摘要 技术的快速发展、使用和可用性为人类生活的各个领域创造了新机遇。产生的数据量巨大,随之而来的是大数据收集、处理和分析方面的进步,这些数据用于各种目的,如各行各业、科学、医疗保健甚至教育。教育领域的数据科学旨在通过数据驱动的洞察力更好地理解和改进学习过程。学习分析研究如何利用数据挖掘、机器学习、自然语言处理、可视化和人机交互方法来帮助学习者、教育工作者和机构领导者改进学习过程和教学实践。
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Data Power in Military Education: Awareness and Understanding of Learning Analytics
Abstract The rapid development, use and availability of technology is creating new opportunities in all areas of human life. The amount of data generated is enormous, followed by advances in the collection, processing and analysis of big data for a variety of purposes, such as various industries, science, healthcare and even education. Data science in education aims to better understand and improve learning processes through data–driven insights. Learning analytics studies how to use data mining, machine learning, natural language processing, visualisation and human– computer interaction approaches to help learners, educators and institutional leaders improve learning processes and teaching practices.
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