-------- Forwarded Message -------- Subject: [AISWorld] 2nd Call for Chapters: Handbook of Research on Big Data and Learning Analytics Date: Fri, 22 May 2020 09:41:57 +0100 From: Ana Azevedo ana.azevedo@gmail.com To: aisworld-request@lists.aisnet.org CC: aisworld@lists.aisnet.org, Ana Azevedo aazevedo@iscap.ipp.pt

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 _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org