Data Analytics Research-informed Teaching in a Digital Technologies Curriculum

Research output: Contribution to journalArticleResearchpeer-review

Abstract

In the Business environment, the goal of data analytics can be characterised as improving decision making and its links to Big Data and other data-driven technologies. In UK Higher Education, Degree Apprenticeships are business-led and government-supported nationally recognised qualifications where delivery is tailored to partner employer requirements. This paper focuses on the development of the Data Analytics specialism of the BSc Digital and Technology Solutions degree apprenticeship at the University of Winchester Business School, informed by current research and practice. A data-driven analytical framework is first proposed to provide an overarching methodology for extracting knowledge and insights from (big) data. It covers key components of the analytics life cycle from data management, data pre-processing and integration through data modelling and business intelligence to insight management. Software tools related to collecting, cleansing, processing, analysing and visualising data have been systematically discussed to provide the technological dimension. The methodology is then applied to the development of the specialist modules in data analytics which represent the core thematic structure of the degree apprenticeship pathway. The culmination of the paper is an evaluation of the educational innovation of this digital technologies curriculum: highlighting teaching, learning and assessment from the perspective of data-analytic thinking.
Original languageEnglish
JournalINFORMS Transactions on Education
Publication statusAccepted/In press - 20 Apr 2019

Keywords

  • Business environment
  • Information systems
  • Data analytics
  • Degree apprenticeship
  • Digital and technology solutions
  • Data-driven analytical framework
  • Curriculum development
  • Undergraduate specialist modules
  • Research-informed teaching
  • Analytical tools
  • Data mining
  • Business intelligence
  • Insight management
  • Decision support
  • Big data

Cite this

Lu, J. (Accepted/In press). Data Analytics Research-informed Teaching in a Digital Technologies Curriculum. INFORMS Transactions on Education.
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Data Analytics Research-informed Teaching in a Digital Technologies Curriculum. / Lu, Jing.

In: INFORMS Transactions on Education, 20.04.2019.

Research output: Contribution to journalArticleResearchpeer-review

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