-------- Forwarded Message --------
Propose a chapter:
https://www.igi-global.com/publish/call-for-papers/submit/4651
Editors
*Ana Azevedo*, CEOS.PP / ISCAP / P.PORTO, Portugal
*José Azevedo*, CEOS.PP / ISCAP / P.PORTO, Portugal
*James Uhomoibhi*, Ulster University, United Kingdom
*Ebba Ossiannilsson*, Swedish Association for Distance Education
(SADE),
Sweden
Call for Chapters
Proposals Submission Deadline: June 15, 2020
Full Chapters Due: August 11, 2020
Submission Date: December 4, 2020
Introduction
Learning Analytics is a topic of growing interest in the research
communities. INFORMS defined analytics as the scientific process
of
transforming data into insights with the purpose of making better
decisions. Being grounded on the area of decision support systems,
the area
of analytics has got a vast range of applications. One important
application concerns educational environment, where the three
types of
analytics, namely, descriptive, predictive, and prescriptive are
being
applied.
Nowadays, the term Learning Analytics is used in the context of
the use of
Analytics in eLearning environments. Learning Analytics is vastly
used in
order to improve quality. It uses data about students and their
activities
in order to provide better understanding and to improve students’
learning.
The use of LMS, where the activity of the students’ can be easily
accessed,
potentiated the use of Learning Analytics to understand their
route during
the learning process, thus they can be helped to improve during
that
process. A competent use of Learning Analytics can be helping
students to
be aware of their progress, thus enabling students to take control
of their
own learning. Another important use of Learning Analytics relates
to the
detection of situations where the students can give up of the
course before
its completion, which is one important problem in eLearning
environments.
Authors are welcome to submit papers, and to discuss theory,
research
issues or applications.
Objective
The primary objective of this book is to provide insights
concerning the
use of Learning Analytics. This is a cutting edge and an important
topic
that deserves reflexion, and this book is an excellent opportunity
to do
so.
The proposed book shall:
- report on the role and impact of learning analytics training and
development in education.
- accept research contributions which reports on how various
stakeholders
are engaged in the design, deployment and assessment of successful
and
sustainable learning analytics. These contributions could be
theoretical,
methodological, empirical and technical.
Factors affecting Learning Analytics would be considered to
include:
- human factors in learning analytics systems
- geographical (brick & mortar versus virtual)
- technical/technological factors
- analytics tools
- ethical and legal factors of the use of Learning Analytics
Target Audience
Teachers, professionals in the area of Learning Analytics, senior
managers,
researchers, academicians, practitioners, and graduate students,
are the
target of this book.
Recommended Topics
Relevant topics include, but are not limited to:
• Pedagogical and Educational Perspectives
• Techniques and methods for Learning Analytics
• Impact of Learning Analytics
• Feedback for students
• Software for Learning Analytics
• Adaptive Learning
• Learning Metrics
• Ethical and legal issues
• Analytics in e-assessment applications
• Educational Mining
• Virtual and Remote Experiments Based Learning
• Learning in Mixed Environments
• Innovative learning Spaces
• Quality related issues based on Learning Analytics
• Others considered relevant to this area
Submission Procedure
Researchers and practitioners are invited to submit on or before
*June 16,
2020*, a chapter proposal of 1,000 to 2,000 words clearly
explaining the
mission and concerns of his or her proposed chapter. Authors will
be
notified by *April 27, 2020* about the status of their proposals
and sent
chapter guidelines. Full chapters are expected to be submitted by
*August
11, 2020*, and all interested authors must consult the guidelines
for
manuscript submissions at
http://www.igi-global.com/publish/contributor-resources/before-you-write/
prior to submission. All submitted chapters will be reviewed on a
double-blind review basis. Contributors may also be requested to
serve as
reviewers for this project.
Note: There are no submission or acceptance fees for manuscripts
submitted
to this book publication, Handbook of Research on Big Data and
Learning
Analytics. All manuscripts are accepted based on a double-blind
peer review
editorial process.
All proposals should be submitted through the eEditorial
Discovery®TM
online submission manager.
Publisher
This book is scheduled to be published by IGI Global (formerly
Idea Group
Inc.), publisher of the "Information Science Reference" (formerly
Idea
Group Reference), "Medical Information Science Reference,"
"Business
Science Reference," and "Engineering Science Reference" imprints.
For
additional information regarding the publisher, please visit
www.igi-global.com
<https://www.igi-global.com/publish/call-for-papers/call-details/www.igi-global.com>.
This publication is anticipated to be released in 2021.
Important Dates
*June 16 , 2020*: Proposal Submission Deadline
*April 27, 2020*: Notification of Acceptance
*August 11, 2020*: Full Chapter Submission
*October 09, 2020*: Review Results Returned
*November 6, 2020*: Revisions Due From Authors
*November 20, 2020*: Final Acceptance Notification
*December 04, 2020*: Final Chapter Submission
Inquiries
*Ana Azevedo*
CEOS.PP / ISCAP / P.PORTO
aazevedo@iscap.ipp.pt
Classifications
Computer Science and Information Technology; Education; Library
and
Information Science; Social Sciences and Humanities; Science and
Engineering
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