14,283 research outputs found
Empowering K-12 Education with AI
No full textThomas Chiu’s book is one of the first to look at the impacts of artificial intelligence (AI) on K-12 education in two areas: AI education, and AI in education. AI education refers to teaching AI, and AI in education refers to using AI to support learning and teaching.
Chiu examines the opportunities and challenges of these impacts for teachers and students, proposes a framework and a set of principles for the two areas with examples, and suggests learning outcomes. AI in K-12 education is one of the most important global strategic initiatives since it has made and continues to make impacts on education and the job market. Including AI technology and topics in K-12 education not only helps children understand what AI technologies are and how they work, but also inspires future workplace readiness and potential AI researchers, ethical designers, and software developers. However, educators and AI experts in general realize that planning AI-related education is very challenging. It involves integrating the topics or technologies into the curriculum, necessitating teacher development to address the gaps in knowledge, addressing educational inequity, and securing equipment and resources. Understanding student and teacher opportunities and challenges is crucial.
This book is an essential and thought-provoking read for researchers, teacher educators, and school teachers and leaders who wish to embrace AI to prepare K-12 students for their future education and the workforce
Chapter 1 Introduction to Transforming K-12 Education with Artificial Intelligence
No full textThomas Chiu’s book is one of the first to look at the impacts of artificial intelligence (AI) on K-12 education in two areas: AI education, and AI in education. AI education refers to teaching AI, and AI in education refers to using AI to support learning and teaching. Chiu examines the opportunities and challenges of these impacts for teachers and students, proposes a framework and a set of principles for the two areas with examples, and suggests learning outcomes. AI in K-12 education is one of the most important global strategic initiatives since it has made and continues to make impacts on education and the job market. Including AI technology and topics in K-12 education not only helps children understand what AI technologies are and how they work, but also inspires future workplace readiness and potential AI researchers, ethical designers, and software developers. However, educators and AI experts in general realize that planning AI-related education is very challenging. It involves integrating the topics or technologies into the curriculum, necessitating teacher development to address the gaps in knowledge, addressing educational inequity, and securing equipment and resources. Understanding student and teacher opportunities and challenges is crucial. This book is an essential and thought-provoking read for researchers, teacher educators, and school teachers and leaders who wish to embrace AI to prepare K-12 students for their future education and the workforce
Multicultural Experience Fosters Creative Conceptual Expansion
No full textEdited by Angela K.Y. Leung, Chiu Chi-Yue and Hong Ying-Yi</p
Empowering K-12 Education with AI
No full textThomas Chiu’s book is one of the first to look at the impacts of artificial intelligence (AI) on K-12 education in two areas: AI education, and AI in education. AI education refers to teaching AI, and AI in education refers to using AI to support learning and teaching.
Chiu examines the opportunities and challenges of these impacts for teachers and students, proposes a framework and a set of principles for the two areas with examples, and suggests learning outcomes. AI in K-12 education is one of the most important global strategic initiatives since it has made and continues to make impacts on education and the job market. Including AI technology and topics in K-12 education not only helps children understand what AI technologies are and how they work, but also inspires future workplace readiness and potential AI researchers, ethical designers, and software developers. However, educators and AI experts in general realize that planning AI-related education is very challenging. It involves integrating the topics or technologies into the curriculum, necessitating teacher development to address the gaps in knowledge, addressing educational inequity, and securing equipment and resources. Understanding student and teacher opportunities and challenges is crucial.
This book is an essential and thought-provoking read for researchers, teacher educators, and school teachers and leaders who wish to embrace AI to prepare K-12 students for their future education and the workforce
Idempotence of microlocal kernels and -equivariant Chiu-Tamarkin invariant
No full textIn this article, we present some results and constructions about the
Chiu-Tamarkin invariant motivated by the idempotence of microlocal kernels,
including: (1) a natural explanation for the definition of the
-equivariant Chiu-Tamarkin invariant; (2) a graded commutative
product on the non-equivariant Chiu-Tamarkin invariant; and (3) a construction
of the -equivariant Chiu-Tamarkin invariant. As applications, we: (1)
construct a sequence of symplectic capacities and prove that it coincides with the symplectic capacities
we defined using the -equivariant
Chiu-Tamarkin invariant under certain conditions; and (2) prove a Viterbo
isomorphism. In the Appendix, we provide a proof of admissibility for all open
sets in a cotangent bundle under the setup of triangulated categories.Comment: Exposition rewritten. 53 pages. Comments are welcome
Capacities from the Chiu-Tamarkin complex
No full textIn this paper, we construct a sequence (c k) k ∈N of symplectic capacities based on the Chiu-Tamarkin complex C Z/ℓ T, a Z/ℓ-equivariant invariant coming from the microlocal theory of sheaves. We compute (c k) k ∈N for convex toric domains, which are the same as the Gutt-Hutchings capacities. Our method also works for the pre-quantized contact manifold T ∗ X × S 1. We define a sequence of “contact capacities” ([c] k) k ∈N on the prequantized contact manifold T ∗ X × S 1, and we compute them for prequantized convex toric domains.</p
Chapter 8 Reform, Challenges, and Future Research on AI for K-12 Education
No full textThomas Chiu’s book is one of the first to look at the impacts of artificial intelligence (AI) on K-12 education in two areas: AI education, and AI in education. AI education refers to teaching AI, and AI in education refers to using AI to support learning and teaching. Chiu examines the opportunities and challenges of these impacts for teachers and students, proposes a framework and a set of principles for the two areas with examples, and suggests learning outcomes. AI in K-12 education is one of the most important global strategic initiatives since it has made and continues to make impacts on education and the job market. Including AI technology and topics in K-12 education not only helps children understand what AI technologies are and how they work, but also inspires future workplace readiness and potential AI researchers, ethical designers, and software developers. However, educators and AI experts in general realize that planning AI-related education is very challenging. It involves integrating the topics or technologies into the curriculum, necessitating teacher development to address the gaps in knowledge, addressing educational inequity, and securing equipment and resources. Understanding student and teacher opportunities and challenges is crucial. This book is an essential and thought-provoking read for researchers, teacher educators, and school teachers and leaders who wish to embrace AI to prepare K-12 students for their future education and the workforce
Chapter 1 Introduction to Transforming K-12 Education with Artificial Intelligence
No full textThomas Chiu’s book is one of the first to look at the impacts of artificial intelligence (AI) on K-12 education in two areas: AI education, and AI in education. AI education refers to teaching AI, and AI in education refers to using AI to support learning and teaching. Chiu examines the opportunities and challenges of these impacts for teachers and students, proposes a framework and a set of principles for the two areas with examples, and suggests learning outcomes. AI in K-12 education is one of the most important global strategic initiatives since it has made and continues to make impacts on education and the job market. Including AI technology and topics in K-12 education not only helps children understand what AI technologies are and how they work, but also inspires future workplace readiness and potential AI researchers, ethical designers, and software developers. However, educators and AI experts in general realize that planning AI-related education is very challenging. It involves integrating the topics or technologies into the curriculum, necessitating teacher development to address the gaps in knowledge, addressing educational inequity, and securing equipment and resources. Understanding student and teacher opportunities and challenges is crucial. This book is an essential and thought-provoking read for researchers, teacher educators, and school teachers and leaders who wish to embrace AI to prepare K-12 students for their future education and the workforce
Henri Temianka correspondence; (Chiu)
No full textThis collection contains material pertaining to the life, career, and activities of Henri Temianka, violin virtuoso, conductor, music teacher, and author. Materials include correspondence, concert programs and flyers, music scores, photographs, and books.https://digitalcommons.chapman.edu/temianka_correspondence/3889/thumbnail.jp
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