Bridging the Gap Between Academia and Industry

It is widely believed both in the academia and the industry that the research-practice gap is so universal and difficult to overcome. It is also widely accepted that academic research and industry practice can gain significantly from each other. Yes!mathematical models have infinite possibilities and applications in the industry.

  • There is a huge gap between research and practice. The gap is real, but it can be bridged.
  • To bridge the gap we need a new kind of practitioner: the translational developer. Read More.

The gap may be deliberate or accidental and extends to professional societies. In computing, most quoted challenges in bridging research-practice gap include:

  • the incompatibility in timescales of research and practice
  • research usually not seen as relevant for practice
  • research demands a different kind of rigour than practice supports, and
  • knowledge and skill sets required for research differ from that of practice.

What then can we do to bridge this gap? How can the knowledge contained in the academic society be brought to businesses? How can business and product feedbacks be utilised in the academic society to optimised existing techniques and tools or develop new ones?

 

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These are questions being addressed in this blog, the specific interest here is on academic-industry collaboration with specific focus on our approach in teaching and practice of big data and machine learning.

This hub will offer the best, most comprehensive research and industry solutions to problems that matters to the society.

Learning in Higher Education

My Philosophy of Teaching

I have been teaching or supporting learning in higher education since 2010, my perception about teaching in higher education is basically to ensure the coverage of the syllabus of each module within a given time frame and to measure students understanding through formative assessment. The greatest shift in that perception came when I enrolled in Learning & Teaching in Higher Education module in 2015 . While studying some occasional papers, relevant/recommended texts and attempting the module activities, I came across the following tough questions in :

  • Why do I teach?
  • What do I believe or value about teaching and student learning?
  • How do my research and disciplinary context influence my teaching?
  • How do I address the challenges and resources of teaching in my particular discipline?
  • How do my identity/background and my students’ identities/backgrounds affect teaching and learning in my classes?
  • How do I utilise multiple pedagogical approaches in my teaching?
  • What is my approach to evaluating and assessing students?

Answering these questions will reveal one’s strategies for promoting productive engagement with learning.

Resources and Links

Writing a Winning Teaching Statement

Sample Teaching and Research Statements