國立高雄大學圖資館 |

Language: English

Back

Educational data literacy

Record Type:	Electronic resources : Monograph/item
Title/Author:	Educational data literacyby Demetrios Sampson ... [et al.].
other author:	Sampson, Demetrios.
Published:	Cham :Springer International Publishing :2022.
Description:	xvi, 115 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer literacyEvaluation.
Online resource:	https://doi.org/10.1007/978-3-031-11705-3
ISBN:	9783031117053$q(electronic bk.)

Educational data literacy
Educational data literacy[electronic resource] /by Demetrios Sampson ... [et al.]. - Cham :Springer International Publishing :2022. - xvi, 115 p. :ill., digital ;24 cm. - Advances in analytics for learning and teaching,2662-2130. - Advances in analytics for learning and teaching..

Introduction -- State of the Art in Educational Data Literacy (brief environment scan) -- Towards an Educational Data Literacy Competence Model (the Learn2Analyse proposal) -- Educational Data Literacy Competence Model: From theory to practice (exemplify how the EDL-CP can be put into practice) -- Conclusions and Future Direction.

Digital Education is recognised as a key transformative innovation for K-12 school and university teaching and learning, as well as, for professional development and vocational training. As a result, blended and online courses are nowadays widely deployed to meet the needs of K-12, higher education and vocational training students, as well as, the needs for professional development of in-service professionals. In this context, important professional roles in digital education and training, such as, the Instructional Designers, who design and develop online and blended courses, and the Trainers or Tutors who support the delivery of these online and blended courses, require new professional competences compared to those assumed at the traditional face to face education and tra ining programs.This is particularly relevant today, in the post Covid-19 era, where educational organisations, leaders and teachers are challenged with reinventing their teaching and learning environments to offer higher quality, more accessible and inclusive teaching, learning and assessment. Educational Data Literacy (EDL) is a core competence for all education professionals, including school teachers, instructional designers and tutors of online and blended learning courses, as well as educational institutions' leaders. Nevertheless, existing professional competence frameworks for educators pay little attention to EDL, missing out the potential of using emerging EDL methods and tools in online and blended teaching and learning - thus there is a need for extending existing professional competence frameworks for educators with new competences to accommodate the emerging field of EDL. To this end, this brief monograph presents a comprehensive proposal of an Educational Data Literacy Competence Profile (EDL-CP) framework for education professionals, as well as, exemplary learning outcomes for the proposed EDL-CP framework, and use-case examples for indicative target groups, namely instructional designers, e-Trainers and K-12 school teachers. The work of this book has been produced within the project "Learn2Analyze - An Academia-Industry Knowledge Alliance for enhancing Online Training Professionals' (Instructional Designers and e-Trainers) Competences in Educational Data Analytics" which is co-funded by European Commission through the Erasmus+ Program (Cooperation for innovation and the exchange of good practices - Knowledge Alliances)

ISBN: 9783031117053$q(electronic bk.)

Standard No.: 10.1007/978-3-031-11705-3doiSubjects--Topical Terms:

937033
Computer literacy
--Evaluation.

LC Class. No.: QA76.9.C64

Dewey Class. No.: 371.3340711

Educational data literacy
LDR:03805nmm a2200337 a 4500 001 631377
003 DE-He213
005 20221026220521.0
006 m d
007 cr nn 008maaau
008 230411s2022 sz s 0 eng d
020 $a 9783031117053$q(electronic bk.)
020 $a 9783031117046$q(paper)
024 7 $a 10.1007/978-3-031-11705-3 $2 doi
035 $a 978-3-031-11705-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.C64
072 7 $a JN $2 bicssc
072 7 $a EDU009000 $2 bisacsh
072 7 $a JN $2 thema
082 0 4 $a 371.3340711 $2 23
090 $a QA76.9.C64 $b E24 2022
245 0 0 $a Educational data literacy $h [electronic resource] / $c by Demetrios Sampson ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xvi, 115 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in analytics for learning and teaching, $x 2662-2130
505 0 $a Introduction -- State of the Art in Educational Data Literacy (brief environment scan) -- Towards an Educational Data Literacy Competence Model (the Learn2Analyse proposal) -- Educational Data Literacy Competence Model: From theory to practice (exemplify how the EDL-CP can be put into practice) -- Conclusions and Future Direction.
520 $a Digital Education is recognised as a key transformative innovation for K-12 school and university teaching and learning, as well as, for professional development and vocational training. As a result, blended and online courses are nowadays widely deployed to meet the needs of K-12, higher education and vocational training students, as well as, the needs for professional development of in-service professionals. In this context, important professional roles in digital education and training, such as, the Instructional Designers, who design and develop online and blended courses, and the Trainers or Tutors who support the delivery of these online and blended courses, require new professional competences compared to those assumed at the traditional face to face education and tra ining programs.This is particularly relevant today, in the post Covid-19 era, where educational organisations, leaders and teachers are challenged with reinventing their teaching and learning environments to offer higher quality, more accessible and inclusive teaching, learning and assessment. Educational Data Literacy (EDL) is a core competence for all education professionals, including school teachers, instructional designers and tutors of online and blended learning courses, as well as educational institutions' leaders. Nevertheless, existing professional competence frameworks for educators pay little attention to EDL, missing out the potential of using emerging EDL methods and tools in online and blended teaching and learning - thus there is a need for extending existing professional competence frameworks for educators with new competences to accommodate the emerging field of EDL. To this end, this brief monograph presents a comprehensive proposal of an Educational Data Literacy Competence Profile (EDL-CP) framework for education professionals, as well as, exemplary learning outcomes for the proposed EDL-CP framework, and use-case examples for indicative target groups, namely instructional designers, e-Trainers and K-12 school teachers. The work of this book has been produced within the project "Learn2Analyze - An Academia-Industry Knowledge Alliance for enhancing Online Training Professionals' (Instructional Designers and e-Trainers) Competences in Educational Data Analytics" which is co-funded by European Commission through the Erasmus+ Program (Cooperation for innovation and the exchange of good practices - Knowledge Alliances)
650 0 $a Computer literacy $x Evaluation. $3 937033
650 0 $a Information literacy $x Evaluation. $3 878555
650 0 $a Computer managed instruction $x Evaluation. $3 937034
650 0 $a Computer-assisted instruction $x Evaluation. $3 242934
650 0 $a Teachers $x Training of. $3 278143
650 1 4 $a Education. $3 177995
650 2 4 $a Teaching and Teacher Education. $3 338703
700 1 $a Sampson, Demetrios. $3 841602
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Advances in analytics for learning and teaching. $3 858692
856 4 0 $u https://doi.org/10.1007/978-3-031-11705-3
950 $a Education (SpringerNature-41171)