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A Teacher’s Guide to Conversational AI: Enhancing Assessment, Instruction, and Curriculum with Chatbots

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Book Details
Language
English
Publishers
Routledge; 1st edition (27 May 2024)
Weight
0.5 KG
Publication Date
27/05/2024
ISBN-10
1032686774
Pages
250 pages
ISBN-13
9781032686776
Dimensions
15.24 x 1.93 x 22.86 cm
SKU
9781032686776
Author Name
David A. Joyner (Author)
Hi! I’m David Joyner. I’m an educator, and my passion is for leveraging new technologies to improve student learning, especially at scale. I focus on online learning due to its potential to improve outcomes, expand impact, and reduce the cost to students. Toward these ends, I also look at the roles that artificial intelligence, social communities, interface design, and numerous other factors can play in improving the student and teacher experience at all levels, from K-12 to graduate school.I completed my Ph.D. in Human-Centered Computing at Georgia Tech, and now work for Georgia Tech’s College of Computing as its Executive Director for Online Education & OMSCS. In this role, I research, teach, and support online students at the graduate and undergraduate levels. I teach several classes, I run the online research lab LucyLabs, and I have authored dozens of research papers (and two books) on learning at scale.Outside of work, I live near Atlanta with three cats, two kids, one wife, and zero ideas for a clever way to end this sentence.Read more about this authorRead less about this author
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A Teacher’s Guide to Conversational AI explores the practical role that language-based artificial intelligence tools play in classroom teaching, learning experiences, and student assessment. Today’s educators are well aware that conversational and generative AI―chatbots, intelligent tutoring systems, large language models, and more―represent a complex new factor in teaching and learning.

This introductory primer offers comprehensive, novice-friendly guidance into the challenges and opportunities of incorporating AI into K-12 schools and college classes in ways that are appropriate, nourishing to students, and outcomes-driven. Opening with an informative overview of the foundational properties, key terminology, and ethical considerations of these tools, the book offers a coherent and realistic vision of classrooms that are enhanced, rather than stymied, by AI systems.

This includes strategies for:· designing assessments that are conducive to students’ beneficial use of AI while mitigating overreliance or dishonesty;· using AI to generate lesson examples for student critique or custom content that reinforces course principles;· leveraging chatbots as a co-instructor or a tutor, a guide during student-driven learning, a virtual debate or brainstorming partner, and a design project; and· creating course content, lesson plans and activities, expanded language and accessibility options, and beyond. Through the depth of understanding and applied approach provided in these chapters, teachers and leaders in training and in service, alongside private tutors, college instructors, and other educators, will be better prepared to future-proof their efforts to serve new generations of learners.

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