Keynotes and Speakers for ITx 2018
Arthur Valle is a Senior Academic Staff Member in the Centre for Business, IT and Enterprise at Wintec Institute of Technology, where he is also the IT Research Leader.
Currently, Arthur teaches IT Management related modules such as Project Management, Business Essentials, and Management of Information Systems.
Arthur has a PhD degree in Production and System Engineering from Pontifical Catholic University of Parana (PUCPR) in Brazil. As his thesis, he developed a method for applying Process Mining techniques in software process assessments.
Arthur has industry and academic background in topics such as Lean Six Sigma; Continuous Improvement and Innovation; Business Process Management; Software Development; Quality Management; Operations Management; Performance Measurement, Project Management; Service Management and Strategy.
As a former senior IT consultant for the last 18 years, Arthur had been involved in 15+ successful CMMI-based improvement programs in small, medium, large and multi-national companies in Brazil and abroad.
In addition, he worked as the Quality Manager for Latin America region in Wipro, a multinational IT company.
This article outlines the design and implementation of a scenario-based approach to teaching and learning in tertiary education, inspired from Ako, adopted at the Waikato Institute of Technology (Wintec). This learning approach, titled ‘Comprehensive Learning (CL)’, aligns with the holistic objective of enabling students with an active, flexible, personalised, authentic and practical approach to learning that builds upon students’ interests and experiences.
The article explains the motivation and the process used in creating and applying this approach to teach some of the IT and Business modules. The main reason to implement this approach is to encourage/enable critical thinking while learning in a continuous and personalised manner.
CL allows students to specialize in a context of their choice, which in turn induces learning. In addition, students are less motivated to plagiarize due to the unique nature of their scenarios, and inherent safeguards present within the approach.