國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Radical solutions and learning analy...

Burgos, Daniel.

Radical solutions and learning analyticspersonalised learning and teaching through big data /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Radical solutions and learning analyticsedited by Daniel Burgos.
其他題名:	personalised learning and teaching through big data /
其他作者:	Burgos, Daniel.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	xiv, 227 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	EducationEvaluation.
電子資源:	https://doi.org/10.1007/978-981-15-4526-9
ISBN:	9789811545269$q(electronic bk.)

Radical solutions and learning analyticspersonalised learning and teaching through big data /
Radical solutions and learning analyticspersonalised learning and teaching through big data /[electronic resource] :edited by Daniel Burgos. - Singapore :Springer Singapore :2020. - xiv, 227 p. :ill. (some col.), digital ;24 cm. - Lecture notes in educational technology,2196-4963. - Lecture notes in educational technology..

1 Learning Analytics as a Breakthrough in Educational Improvement -- 2 LA to Improve the Learner's Performance -- 3 LA to Improve the Teacher's Performance -- 4 Dashboards for a Better Application of LA -- 5 Mobile LA in Digital Devices -- 6 Physical Sensors and LA in the Classroom -- 7 Remote Labs and Big Data -- 8 Understanding Big Data for Educational Management -- 9 Interpretation of Live Data and Decision Making in Streamed Lessons and Real-Time User Tracking -- 10 Prediction of Users' Behaviour -- 11 Prevention of Students and Faculty Attrition -- 12 Personalised Mentoring Through Quantitative & Qualitative Data -- 13 User Vectorisation Through Deep Learning and Neural Networks -- 14 Fighting Student's Drop-Out Through Historical Data -- 15 Visual Analytics for a Better Impact of Deep Data.

Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the end user, being a student, a teacher, a manager or a persona in a different role, an instructional designer can design a way to produce a practical dashboard that helps him improve that very user's performance, interaction, motivation or just grading. This book provides a thorough approach on how education, as such, from teaching to learning through management, is improved by a smart analysis of available data, making visible and useful behaviours, predictions and patterns that are hinder to the regular eye without the process of massive data.

ISBN: 9789811545269$q(electronic bk.)

Standard No.: 10.1007/978-981-15-4526-9doiSubjects--Topical Terms:

295362
Education
--Evaluation.

LC Class. No.: LB2822.75 / .R335 2020

Dewey Class. No.: 371.26

Radical solutions and learning analyticspersonalised learning and teaching through big data /
LDR:02736nmm a2200337 a 4500 001 579618
003 DE-He213
005 20200926151514.0
006 m
007 cr
008 201229s2020
020 $a 9789811545269$q(electronic bk.)
020 $a 9789811545252$q(paper)
024 7 $a 10.1007/978-981-15-4526-9 $2 doi
035 $a 978-981-15-4526-9
040 $a GP $c GP
041 0 $a eng
050 4 $a LB2822.75 $b .R335 2020
072 7 $a JNV $2 bicssc
072 7 $a EDU039000 $2 bisacsh
072 7 $a JNV $2 thema
082 0 4 $a 371.26 $2 23
090 $a LB2822.75 $b .R129 2020
245 0 0 $a Radical solutions and learning analytics $h [electronic resource] : $b personalised learning and teaching through big data / $c edited by Daniel Burgos.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xiv, 227 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in educational technology, $x 2196-4963
505 0 $a 1 Learning Analytics as a Breakthrough in Educational Improvement -- 2 LA to Improve the Learner's Performance -- 3 LA to Improve the Teacher's Performance -- 4 Dashboards for a Better Application of LA -- 5 Mobile LA in Digital Devices -- 6 Physical Sensors and LA in the Classroom -- 7 Remote Labs and Big Data -- 8 Understanding Big Data for Educational Management -- 9 Interpretation of Live Data and Decision Making in Streamed Lessons and Real-Time User Tracking -- 10 Prediction of Users' Behaviour -- 11 Prevention of Students and Faculty Attrition -- 12 Personalised Mentoring Through Quantitative & Qualitative Data -- 13 User Vectorisation Through Deep Learning and Neural Networks -- 14 Fighting Student's Drop-Out Through Historical Data -- 15 Visual Analytics for a Better Impact of Deep Data.
520 $a Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the end user, being a student, a teacher, a manager or a persona in a different role, an instructional designer can design a way to produce a practical dashboard that helps him improve that very user's performance, interaction, motivation or just grading. This book provides a thorough approach on how education, as such, from teaching to learning through management, is improved by a smart analysis of available data, making visible and useful behaviours, predictions and patterns that are hinder to the regular eye without the process of massive data.
650 0 $a Education $x Evaluation. $3 295362
650 0 $a Big data. $3 609582
650 1 4 $a Educational Technology. $3 276609
650 2 4 $a Technology and Digital Education. $3 738994
650 2 4 $a Learning & Instruction. $3 274699
650 2 4 $a Higher Education. $3 276621
700 1 $a Burgos, Daniel. $3 803377
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in educational technology. $3 683955
856 4 0 $u https://doi.org/10.1007/978-981-15-4526-9
950 $a Education (Springer-41171)