東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Artificial intelligence supported ed...

Pinkwart, Niels.

Linked to FindBook

Google Book

Amazon

博客來

Artificial intelligence supported educational technologies

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence supported educational technologies/ edited by Niels Pinkwart, Sannyuya Liu.
other author:	Pinkwart, Niels.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	x, 297 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Open learning analytics: a systematic literature review and future perspectives -- Chapter 2. Non-distracting feedback in artificial intelligence supported learning -- Chapter 3. Research on human-computer cooperative teaching supported by artificial intelligence robot assistant -- Chapter 4. A new conceptual framework for measuring online listening in asynchronous discussion forum -- Chapter 5. Self-improvable, self-improving, and self-improvability adaptive instructional system -- Chapter 6. Can sensors effectively support learning? -- Chapter 7. A prototype system of search: finding short material for science education in long and high-definition documentary videos -- Chapter 8. A learning attention monitoring system via photoplethysmogram using wearable wrist devices -- Chapter 9. Towards improving social interaction ability for children with autism spectrum disorder using multimodal sensory information -- Chapter 10. Personalized citation recommendation using a ensemble model of dssm and bibliographic information -- Chapter 11. Augmented: Academic performance prediction based on digital campus -- Chapter 12. Joint embedding learning of educational knowledge graphs -- Chapter 13. Modeling the self-regulated learning behaviors of graduate students in online academic reading and writing environments -- Chapter 14. Mapping machine-generated questions to their related paragraphs in the textbook -- Chapter 15. Change management for learning analytics -- Chapter 16. Lessons learned from designing adaptive training systems: An ethical perspective.
Contained By:	Springer eBooks
Subject:	Artificial intelligence - Educational applications -
Online resource:	https://doi.org/10.1007/978-3-030-41099-5
ISBN:	9783030410995

Artificial intelligence supported educational technologies
Artificial intelligence supported educational technologies[electronic resource] /edited by Niels Pinkwart, Sannyuya Liu. - Cham :Springer International Publishing :2020. - x, 297 p. :ill., digital ;24 cm. - Advances in analytics for learning and teaching,2662-2122. - Advances in analytics for learning and teaching..

Chapter 1. Open learning analytics: a systematic literature review and future perspectives -- Chapter 2. Non-distracting feedback in artificial intelligence supported learning -- Chapter 3. Research on human-computer cooperative teaching supported by artificial intelligence robot assistant -- Chapter 4. A new conceptual framework for measuring online listening in asynchronous discussion forum -- Chapter 5. Self-improvable, self-improving, and self-improvability adaptive instructional system -- Chapter 6. Can sensors effectively support learning? -- Chapter 7. A prototype system of search: finding short material for science education in long and high-definition documentary videos -- Chapter 8. A learning attention monitoring system via photoplethysmogram using wearable wrist devices -- Chapter 9. Towards improving social interaction ability for children with autism spectrum disorder using multimodal sensory information -- Chapter 10. Personalized citation recommendation using a ensemble model of dssm and bibliographic information -- Chapter 11. Augmented: Academic performance prediction based on digital campus -- Chapter 12. Joint embedding learning of educational knowledge graphs -- Chapter 13. Modeling the self-regulated learning behaviors of graduate students in online academic reading and writing environments -- Chapter 14. Mapping machine-generated questions to their related paragraphs in the textbook -- Chapter 15. Change management for learning analytics -- Chapter 16. Lessons learned from designing adaptive training systems: An ethical perspective.

This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer science and learning science. The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems, (3) Algorithms, and (4) Insights gained from empirical studies. For example, different data mining and machine learning methods to quantify different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters. Provides cross-cultural perspectives on artificial intelligence applications in education Offers contributions by distinguished researchers from computer science and learning science Provides an broad view on both systems/algorithms and educational aspects of current challenges in AI-supported educational technologies.

ISBN: 9783030410995

Standard No.: 10.1007/978-3-030-41099-5doiSubjects--Topical Terms:

524883
Artificial intelligence
--Educational applications

LC Class. No.: LB1028.43 / .A785 2020

Dewey Class. No.: 371.33463

Artificial intelligence supported educational technologies
LDR:03750nmm a2200337 a 4500 001 2217734
003 DE-He213
005 20200803105219.0
006 m d
007 cr nn 008maaau
008 201120s2020 sz s 0 eng d
020 $a 9783030410995 $q (electronic bk.)
020 $a 9783030410988 $q (paper)
024 7 $a 10.1007/978-3-030-41099-5 $2 doi
035 $a 978-3-030-41099-5
040 $a GP $c GP
041 0 $a eng
050 4 $a LB1028.43 $b .A785 2020
072 7 $a JNV $2 bicssc
072 7 $a EDU039000 $2 bisacsh
072 7 $a JNV $2 thema
082 0 4 $a 371.33463 $2 23
090 $a LB1028.43 $b .A791 2020
245 0 0 $a Artificial intelligence supported educational technologies $h [electronic resource] / $c edited by Niels Pinkwart, Sannyuya Liu.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a x, 297 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in analytics for learning and teaching, $x 2662-2122
505 0 $a Chapter 1. Open learning analytics: a systematic literature review and future perspectives -- Chapter 2. Non-distracting feedback in artificial intelligence supported learning -- Chapter 3. Research on human-computer cooperative teaching supported by artificial intelligence robot assistant -- Chapter 4. A new conceptual framework for measuring online listening in asynchronous discussion forum -- Chapter 5. Self-improvable, self-improving, and self-improvability adaptive instructional system -- Chapter 6. Can sensors effectively support learning? -- Chapter 7. A prototype system of search: finding short material for science education in long and high-definition documentary videos -- Chapter 8. A learning attention monitoring system via photoplethysmogram using wearable wrist devices -- Chapter 9. Towards improving social interaction ability for children with autism spectrum disorder using multimodal sensory information -- Chapter 10. Personalized citation recommendation using a ensemble model of dssm and bibliographic information -- Chapter 11. Augmented: Academic performance prediction based on digital campus -- Chapter 12. Joint embedding learning of educational knowledge graphs -- Chapter 13. Modeling the self-regulated learning behaviors of graduate students in online academic reading and writing environments -- Chapter 14. Mapping machine-generated questions to their related paragraphs in the textbook -- Chapter 15. Change management for learning analytics -- Chapter 16. Lessons learned from designing adaptive training systems: An ethical perspective.
520 $a This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer science and learning science. The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems, (3) Algorithms, and (4) Insights gained from empirical studies. For example, different data mining and machine learning methods to quantify different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters. Provides cross-cultural perspectives on artificial intelligence applications in education Offers contributions by distinguished researchers from computer science and learning science Provides an broad view on both systems/algorithms and educational aspects of current challenges in AI-supported educational technologies.
650 0 $a Artificial intelligence $x Educational applications $x Congresses. $3 524883
650 0 $a Computer-assisted instruction $x Congresses. $3 524886
650 0 $a Intelligent tutoring systems $x Congresses. $3 567582
650 1 4 $a Educational Technology. $3 876844
650 2 4 $a Computers and Education. $3 892757
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Pinkwart, Niels. $3 1572803
700 1 $a Liu, Sannyuya. $3 3451184
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Advances in analytics for learning and teaching. $3 3451185
856 4 0 $u https://doi.org/10.1007/978-3-030-41099-5
950 $a Education (Springer-41171)