This article discusses the objectives and outcomes of a project to enhance digital humanities training at the undergraduate level in a Hong Kong university. The co-investigators re-designed a multi-source dataset as an example and then taught a multi-step curriculum about gathering, organizing, and presenting original data to an introductory history course for undergraduates in a broad-based admissions social science programme. Undergraduates learned how to develop feasible topics, to search for data in different types of sources, to compile the data in spreadsheet format, and to describe the significance of the data for further research. This pilot curriculum enhanced the customary training for history students in the host institution which focuses primarily on qualitative analysis.
Source Publication Title
International Journal of Pedagogies and Learning
Taylor & Francis
This is an Accepted Manuscript of an article published by Taylor & Francis Group in International Journal of Pedagogies and Learning on 05 Feb 2016.
Link to Publisher's Edition
Wong, Shun Han Rebekah, and Loretta Kim. "Discovering the past through data: Promoting the design and analysis of original datasets in history undergraduate courses in Hong Kong." International Journal of Pedagogies and Learning 10.3 (2015): 208-220.