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Higher Education Information Discovery, Analytics, and Dissemination

Special issue call for papers from Information Discovery and Delivery

Guest editor(s):
Dr. Mounir Kehal
Higher Colleges of Technology
International Academic City

Dr. Justin Zhang
State University of New York
Plattsburgh, NY

The aim for this special issue on Higher Education Information Discovery, Analytics, and Dissemination is to cover all aspects of data / information discovery, analytics, and dissemination for digital information researchers in Higher Education. This includes educators, knowledge professionals in education and cultural organizations, knowledge managers in media, healthcare and government, as well as university managers and professionals, and last but not least academics at large.
The special issue endeavours to publish research and practice which explores the digital information supply chain, i.e., conception, flows, adaptation, exchange and sharing, including within and between university academics and accreditation bodies or governments 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 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
  • Higher education institutional reports
  • And any data / information of relevant constituents or uses

We would like to invite the authors to submit their research on data analytics, information discovery, and knowledge dissemination in higher education from theoretical, technological, social, behavioural, and design science perspectives. Research deploying different theoretical lenses could focus on human behaviours, process and system design, methods, modelling, and techniques in addressing various aspects of data processing and applications in higher education.

  • Information collection and crowdsourcing in higher education
  • Information quality and cleaning in higher education
  • Information management and cloud computing in higher education
  • Digital information exchange models and applications in higher education
  • Data visualization techniques and applications in higher education
  • Big data techniques and applications in higher education
  • Information discovery and dissemination in higher education
  • Knowledge management in higher education

Submissions should comply with the journal author guidelines which are here. They should be made through ScholarOne Manuscripts, the online submission and peer review system. Registration and access is available here.

Initial submissions due date: October 1st, 2018
Preliminary Feedback notification: November 15th, 2018
Revised submissions due: December 31st, 2018
Peer review / editorial decisions due: January 31st, 2019
Final submissions due: February 28th, 2019
Expected publication: spring / summer 2019.