國立虎尾科技大學 |

Frontiers of cyberlearning = emerging technologies for teaching and learning /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Frontiers of cyberlearning/ edited by J. Michael Spector ... [et al.].
其他題名:	emerging technologies for teaching and learning /
其他作者:	Spector, J. Michael.
出版者:	Singapore :Springer Singapore : : 2018.,
面頁冊數:	vi, 246 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Educational innovations. -
電子資源:	https://doi.org/10.1007/978-981-13-0650-1
ISBN:	9789811306501

Frontiers of cyberlearning = emerging technologies for teaching and learning /
Frontiers of cyberlearningemerging technologies for teaching and learning /[electronic resource] :edited by J. Michael Spector ... [et al.]. - Singapore :Springer Singapore :2018. - vi, 246 p. :ill., digital ;24 cm. - Lecture notes in educational technology,2196-4963. - Lecture notes in educational technology..

Chapter 1 Learning Any Time, Anywhere: Big Educational Data from Smart Devices -- Chapter 2 Framing Learning Analytics and Educational Data Mining for Teaching: Critical Inferencing, Domain Knowledge, & Pedagogy -- Chapter 3 Learning Traces, Competence Assessment, and Causal Inference for English Composition -- Chapter 4 QUESGEN: A Framework for Automatic Question Generation Using Semantic Web and Lexical Databases -- Chapter 5 A big data reference architecture for teaching social media mining -- Chapter 6 Big Data in Education: Supporting Learners in Their Role as Reflective Practitioners -- Chapter 7 Towards Big Data in Education: the case at the Open University of the Netherlands -- Chapter 8 Learning Analytics in Practice: Providing e-Learning Researchers and Practitioners with Activity Data -- Chapter 9 Using Apache Spark for Modeling Education Data at Scale -- Chapter 10 Towards a Cloud-Based Big Data Infrastructure for Higher Education Institutions -- Chapter 11 Cloud Services in Collaborative Learning: Applications and Implications -- Chapter 12 Cloud Computing Environment in Big Data for Education -- Chapter 13 Head in the Clouds: Some of the Possible Issues with Cloud-Computing in Education.

This book demonstrates teachers' and learners' experiences with big data in education; education and cloud computing; and new technologies for teacher support. It also discusses the advantages of using these frontier technologies in teaching and learning and predicts the future challenges. As such, it enables readers to better understand how technologies can improve learning and teaching experiences. It is intended for graduates and scholars in educational technology disciplines and anyone interested in the applications of frontier technologies in education.

ISBN: 9789811306501

Standard No.: 10.1007/978-981-13-0650-1doiSubjects--Topical Terms:

554827
Educational innovations.

LC Class. No.: LB1027 / .F766 2018

Dewey Class. No.: 371.33

Frontiers of cyberlearning = emerging technologies for teaching and learning /
LDR:02857nam a2200337 a 4500 001 929683
003 DE-He213
005 20190322151150.0
006 m d
007 cr nn 008maaau
008 190626s2018 si s 0 eng d
020 $a 9789811306501 $q (electronic bk.)
020 $a 9789811306495 $q (paper)
024 7 $a 10.1007/978-981-13-0650-1 $2 doi
035 $a 978-981-13-0650-1
040 $a GP $c GP
041 0 $a eng
050 4 $a LB1027 $b .F766 2018
072 7 $a JNV $2 bicssc
072 7 $a EDU039000 $2 bisacsh
072 7 $a YPMT $2 thema
082 0 4 $a 371.33 $2 23
090 $a LB1027 $b .F935 2018
245 0 0 $a Frontiers of cyberlearning $h [electronic resource] : $b emerging technologies for teaching and learning / $c edited by J. Michael Spector ... [et al.].
260 $a Singapore : $c 2018. $b Springer Singapore : $b Imprint: Springer,
300 $a vi, 246 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in educational technology, $x 2196-4963
505 0 $a Chapter 1 Learning Any Time, Anywhere: Big Educational Data from Smart Devices -- Chapter 2 Framing Learning Analytics and Educational Data Mining for Teaching: Critical Inferencing, Domain Knowledge, & Pedagogy -- Chapter 3 Learning Traces, Competence Assessment, and Causal Inference for English Composition -- Chapter 4 QUESGEN: A Framework for Automatic Question Generation Using Semantic Web and Lexical Databases -- Chapter 5 A big data reference architecture for teaching social media mining -- Chapter 6 Big Data in Education: Supporting Learners in Their Role as Reflective Practitioners -- Chapter 7 Towards Big Data in Education: the case at the Open University of the Netherlands -- Chapter 8 Learning Analytics in Practice: Providing e-Learning Researchers and Practitioners with Activity Data -- Chapter 9 Using Apache Spark for Modeling Education Data at Scale -- Chapter 10 Towards a Cloud-Based Big Data Infrastructure for Higher Education Institutions -- Chapter 11 Cloud Services in Collaborative Learning: Applications and Implications -- Chapter 12 Cloud Computing Environment in Big Data for Education -- Chapter 13 Head in the Clouds: Some of the Possible Issues with Cloud-Computing in Education.
520 $a This book demonstrates teachers' and learners' experiences with big data in education; education and cloud computing; and new technologies for teacher support. It also discusses the advantages of using these frontier technologies in teaching and learning and predicts the future challenges. As such, it enables readers to better understand how technologies can improve learning and teaching experiences. It is intended for graduates and scholars in educational technology disciplines and anyone interested in the applications of frontier technologies in education.
650 0 $a Educational innovations. $3 554827
650 0 $a Computer-assisted instruction. $3 554721
650 0 $a Internet in education. $3 555771
650 1 4 $a Educational Technology. $3 670011
650 2 4 $a Technology and Digital Education. $3 1104027
650 2 4 $a Computers and Education. $3 669806
700 1 $a Spector, J. Michael. $3 679022
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Lecture notes in educational technology. $3 1062890
856 4 0 $u https://doi.org/10.1007/978-981-13-0650-1
950 $a Education (Springer-41171)