國立虎尾科技大學 |

Artificial intelligence in education = a machine-generated literature overview /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial intelligence in education/ edited by Myint Swe Khine.
其他題名:	a machine-generated literature overview /
其他作者:	Khine, Myint Swe.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xi, 735 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Research Methods in Education. -
電子資源:	https://doi.org/10.1007/978-981-97-9350-1
ISBN:	9789819793501

Artificial intelligence in education = a machine-generated literature overview /
Artificial intelligence in educationa machine-generated literature overview /[electronic resource] :edited by Myint Swe Khine. - Singapore :Springer Nature Singapore :2024. - xi, 735 p. :ill., digital ;24 cm.

1. Educational Data Mining and Learning Analytics -- 2. Personalized learning with AI, Eye-tracking studies and Precision Education -- 3. Using AI for Adaptive Learning and Adaptive Assessment -- 4. AI in Teaching and Learning and Intelligent Tutoring Systems -- 5. Machine Learning in Education -- 6. Ethics, and the Future of Education in an AI-driven World.

This comprehensive volume explores the possibilities, challenges and ethical considerations of Artificial Intelligence (AI) in education through a machine-generated literature review that examines emerging research trends and findings. Each chapter presents summaries of pre-defined topics and includes a human-written introduction by the book editor. It covers critical areas such as educational data mining, learning analytics, personalised learning, adaptive assessment, intelligent tutoring systems, as well as the ethical challenges of AI in education. This volume provides valuable insights for educators, researchers, policymakers and students seeking to understand the transformative potential of AI in education. It serves as a reference point for navigating the evolving landscape of AI-assisted learning and offers a glimpse into the future of education in an AI-driven world. The auto-summaries were generated by a recursive clustering algorithm using the Dimensions Auto-summariser from Digital Science. The editor of this book selected the SN content to be auto-summarised and decided the order of appearance. Please note that these are extractive auto-summaries, consisting of original sentences, but are not representative of the original paper, as we do not show the full length of the publication. Please note that only published SN content is represented here and that machine-generated books are still at an experimental stage.

ISBN: 9789819793501

Standard No.: 10.1007/978-981-97-9350-1doiSubjects--Topical Terms:

1139862
Research Methods in Education.

LC Class. No.: LB1028.43

Dewey Class. No.: 371.334

Artificial intelligence in education = a machine-generated literature overview /
LDR:02804nam a2200325 a 4500 001 1138288
003 DE-He213
005 20241031115743.0
006 m d
007 cr nn 008maaau
008 250117s2024 si s 0 eng d
020 $a 9789819793501 $q (electronic bk.)
020 $a 9789819793495 $q (paper)
024 7 $a 10.1007/978-981-97-9350-1 $2 doi
035 $a 978-981-97-9350-1
040 $a GP $c GP
041 0 $a eng
050 4 $a LB1028.43
072 7 $a JNV $2 bicssc
072 7 $a EDU000000 $2 bisacsh
072 7 $a JNV $2 thema
082 0 4 $a 371.334 $2 23
090 $a LB1028.43 $b .A791 2024
245 0 0 $a Artificial intelligence in education $h [electronic resource] : $b a machine-generated literature overview / $c edited by Myint Swe Khine.
260 $a Singapore : $c 2024. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xi, 735 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Educational Data Mining and Learning Analytics -- 2. Personalized learning with AI, Eye-tracking studies and Precision Education -- 3. Using AI for Adaptive Learning and Adaptive Assessment -- 4. AI in Teaching and Learning and Intelligent Tutoring Systems -- 5. Machine Learning in Education -- 6. Ethics, and the Future of Education in an AI-driven World.
520 $a This comprehensive volume explores the possibilities, challenges and ethical considerations of Artificial Intelligence (AI) in education through a machine-generated literature review that examines emerging research trends and findings. Each chapter presents summaries of pre-defined topics and includes a human-written introduction by the book editor. It covers critical areas such as educational data mining, learning analytics, personalised learning, adaptive assessment, intelligent tutoring systems, as well as the ethical challenges of AI in education. This volume provides valuable insights for educators, researchers, policymakers and students seeking to understand the transformative potential of AI in education. It serves as a reference point for navigating the evolving landscape of AI-assisted learning and offers a glimpse into the future of education in an AI-driven world. The auto-summaries were generated by a recursive clustering algorithm using the Dimensions Auto-summariser from Digital Science. The editor of this book selected the SN content to be auto-summarised and decided the order of appearance. Please note that these are extractive auto-summaries, consisting of original sentences, but are not representative of the original paper, as we do not show the full length of the publication. Please note that only published SN content is represented here and that machine-generated books are still at an experimental stage.
650 2 4 $a Research Methods in Education. $3 1139862
650 1 4 $a Digital Education and Educational Technology. $3 1365945
650 0 $a Artificial intelligence $x Educational applications $v Congresses. $3 574511 $3 730810
700 1 $a Khine, Myint Swe. $3 569236
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-97-9350-1
950 $a Education (SpringerNature-41171)