An Approach to Identifying Best Practices in Higher Education Teaching Using a Digital Humanities Data Capturing and Pattern Tool

Abstract

The aim of this paper is to provide an overview of the process of identifying effective teaching patterns by capturing relevant features of given digitally-supported teachings. The overall goal is to collect learning and instructional settings in a way so that they can be reused in different subject domains. First, this involves describing the development of a suitable data structure for capturing instructional data that results from a validated taxonomy. This paper also presents the integration of an application that was developed for modelling and capturing data in domain analysis.