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Educational Data Literacy (Hardcover, 1st ed. 2022)
Loot Price: R3,492
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Educational Data Literacy (Hardcover, 1st ed. 2022)
Series: Advances in Analytics for Learning and Teaching
Expected to ship within 10 - 15 working days
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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).
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