Discovery Park Undergraduate Research Internship Program

"Developing an Interaction Design Catalog for Data-Intensive Learning Activities"

About the Project

Project Time & Type:
Spring 2016 - DURI
Research area(s):
Human-Computer Interaction, Educational Technology, Interaction Design, Cognitive Science, Data Science
Project Description:
Unlike traditional learning subjects (e.g., learning geometry or physics concepts), many contemporary global issues are cross-disciplinary, fluid and open-ended, and informed largely by collected data—a combination of features that make such issues difficult to learn. For example, learning about climate change requires mastery of concepts from different disciplines, dealing with uncertainty and incompleteness of data, and understanding complex sets of relationships. In the context of climate change and other similarly complex phenomena (e.g., public health and disease, sustainability, population growth), learning is a complex, data-intensive activity. Researchers in the areas of human-computer interaction, cognitive systems engineering, and visual analytics, have been investigating methods and techniques for supporting data-intensive activities for a number of years. Research in these disciplines, however, rarely focuses on learning. In this project, the intern will examine literature in the learning sciences, educational technology, human-computer interaction, visual analytics, and other relevant areas to develop a catalog of strategies, patterns, and techniques for working with data in the context of learning activities. This catalog will be part of a larger framework that can be used by designers to help with the systematic design of interactive learning technologies.
Expected Student Contributions:
The intern will be reviewing relevant literature from a number of different fields, including human-computer interaction, educational technology, cognitive science, statistics, computer science, and visual analytics, in order to develop a catalog of interaction patterns and techniques. Depending on the interests of the intern, collaboration on a research paper may be possible.
Related Website(s):
Desired Qualifications:
The intern should be an independent worker and a creative thinker. No special technical skills are required. While not necessary, familiarity with literature in the areas of human-computer interaction, learning sciences, educational technology, cognitive science, statistics, computer science, and/or visual analytics can be an asset. Experience in the following can also be assets: conducting literature reviews; working with scholarly literature tools (e.g., Google Scholar, Mendeley, Scopus); and writing scholarly research papers.
Estimated Weekly Hours:
Department awards independent research credits for this project?

Professor in Charge

Parsons, Paul
Computer Graphics Technology/Purdue Polytechnic

Student Supervisor

Paul Parsons
Assistant Professor

Cooperating Faculty

Marisa Exter
Curriculum & Instruction/Education