Enhancing Student Learning with the Power of Machine Learning
商品資訊
ISBN13:9781805285168
出版社:Lightning Source Inc
作者:Orion
出版日:2023/05/03
裝訂:平裝
規格:22.9cm*15.2cm*1cm (高/寬/厚)
商品簡介
"Enhancing Student Learning with the Power of Machine Learning" is a comprehensive guidebook written by Orion, an expert in the field of educational technology and machine learning. The book offers a unique perspective on how machine learning can be used to improve student learning outcomes, increase engagement, and promote equity in education.
The book is divided into three parts. The first part provides an overview of machine learning and its potential applications in education. It also discusses the challenges and opportunities of using machine learning in education and offers insights into how to overcome these challenges.
The second part of the book focuses on the practical applications of machine learning in education. It provides a detailed explanation of the different types of machine learning algorithms and how they can be used to analyze student data and personalize learning experiences. The author also discusses how machine learning can be used to identify at-risk students and provide targeted interventions to support their learning.
The final part of the book offers a vision for the future of education and the role that machine learning will play in shaping it. It explores the ethical considerations of using machine learning in education and offers guidance on how to ensure that machine learning is used in a way that is both effective and ethical.
Throughout the book, Orion provides real-world examples of how machine learning has been used in education to improve student outcomes. These examples range from personalized learning platforms to intelligent tutoring systems to predictive analytics that identify students who are at risk of dropping out.
"Enhancing Student Learning with the Power of Machine Learning" is a must-read for educators, policymakers, and anyone interested in the intersection of technology and education. It offers a compelling vision for the future of education and provides practical insights into how machine learning can be used to improve student learning outcomes and promote equity in education.
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