國立虎尾科技大學 |

Artificial Intelligence Supported Educational Technologies

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial Intelligence Supported Educational Technologies/ edited by Niels Pinkwart, Sannyuya Liu.
other author:	Pinkwart, Niels.
Description:	X, 297 p. 71 illus., 46 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Educational technology. -
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. - 1st ed. 2020. - X, 297 p. 71 illus., 46 illus. in color.online resource. - 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:

556755
Educational technology.

LC Class. No.: LC8-6691

Dewey Class. No.: 371.33

Artificial Intelligence Supported Educational Technologies
LDR:04118nam a22004095i 4500 001 1023856
003 DE-He213
005 20200629180131.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030410995 $9 978-3-030-41099-5
024 7 $a 10.1007/978-3-030-41099-5 $2 doi
035 $a 978-3-030-41099-5
050 4 $a LC8-6691
072 7 $a JNV $2 bicssc
072 7 $a EDU039000 $2 bisacsh
072 7 $a JNV $2 thema
082 0 4 $a 371.33 $2 23
245 1 0 $a Artificial Intelligence Supported Educational Technologies $h [electronic resource] / $c edited by Niels Pinkwart, Sannyuya Liu.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a X, 297 p. 71 illus., 46 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 Educational technology. $3 556755
650 0 $a Education—Data processing. $3 1253610
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Educational Technology. $3 670011
650 2 4 $a Computers and Education. $3 669806
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Pinkwart, Niels. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1319894
700 1 $a Liu, Sannyuya. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1319895
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030410988
776 0 8 $i Printed edition: $z 9783030411008
776 0 8 $i Printed edition: $z 9783030411015
830 0 $a Advances in Analytics for Learning and Teaching, $x 2662-2122 $3 1317507
856 4 0 $u https://doi.org/10.1007/978-3-030-41099-5
912 $a ZDB-2-EDA
912 $a ZDB-2-SXED
950 $a Education (SpringerNature-41171)
950 $a Education (R0) (SpringerNature-43721)