Effective Instructional Design Informed by AI
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The integration of AI into education is reshaping how students learn, and educators teach, offering unprecedented opportunities for personalization and engagement. As AI tools become more advanced and widespread, addressing their ethical, societal, and pedagogical implications is essential to ensure equitable and responsible use. Establishing clear frameworks and models helps mitigate risks, fostering environments where AI enhances learning rather than creating disparities. By critically examining AI's role in education, society can harness its potential to bridge gaps, expand access, and cult...
The integration of AI into education is reshaping how students learn, and educators teach, offering unprecedented opportunities for personalization and engagement. As AI tools become more advanced and widespread, addressing their ethical, societal, and pedagogical implications is essential to ensure equitable and responsible use. Establishing clear frameworks and models helps mitigate risks, fostering environments where AI enhances learning rather than creating disparities. By critically examining AI's role in education, society can harness its potential to bridge gaps, expand access, and cultivate innovative learning experiences. This exploration paves the way for a more thoughtful and inclusive approach to AI adoption in educational settings. Effective Instructional Design Informed by AI identifies the latest empirical, conceptual, theoretical, and ethical research on providing AI-situated classroom strategies. Challenges pertaining to the ethical, societal, and disparate impact potential of AI are addressed to assist teachers and administrators in making decisions that address these concerns. Covering topics such as learning assessments, ChatGPT, and special education, this book is an excellent resource for teachers, administrators, higher education professionals, computer scientists, professionals, scholars, academicians, and more.
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