Editorial note

Mounir Kehal (Department of Business, Higher College of Technology, Al Ain, United Arab Emirates)

Information Discovery and Delivery

ISSN: 2398-6247

Article publication date: 22 February 2019

Issue publication date: 22 February 2019

364

Citation

Kehal, M. (2019), "Editorial note", Information Discovery and Delivery, Vol. 47 No. 1, pp. 1-1. https://doi.org/10.1108/IDD-02-2019-071

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited


As part of the Journal of Information Discovery and Delivery, special section on “Higher Education Information Discovery, Analytics, and Dissemination” endeavors to publish research and practice which explores the digital information supply chain, i.e. conception, flows, adaptation, exchange and sharing, including within and between organizations, for instance. It is also interested in digital information capture, consolidation and storage by knowledge creators and users of all kinds and across all levels, especially in higher education institutions.

Information is widely defined, including but not limited to:

  • records;

  • documents;

  • university accreditations’ data;

  • assurance of learning data;

  • assessment data;

  • learning objects;

  • visual and sound files;

  • data and metadata and;

  • user-generated content;

  • faculty or students reports; and

  • higher education institutional reports.

This special section and the respective selected topics aim to contain a sample of accepted quality papers related to information discovery, knowledge dissemination and data analytics in higher education. For instance, as:

  • empathy-driven participatory research methods in higher education;

  • advancement of the learning processes with big data; and

  • learning analytics in higher education institutions.

We would like to thank and acknowledge the authors who submitted their research on data analytics, information discovery and knowledge dissemination in higher education from theoretical, technological, social, behavioral and design science perspectives.

Such research produce deployed diverse theoretical lenses which focused on human behaviors, process and system design, methods, modeling and techniques in addressing various aspects of data processing and applications in higher education.

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