Quantitative Ethnography (QE) is an emerging methodological approach that combines
ethnographic and statistical tools to analyze both Big Data and smaller data to study human …

Purpose The COVID-19 pandemic has brought about a contingent shift to remote working
and learning worldwide. However, little is known regarding the impact of this shift on …

An engineering workforce of sufficient size and quality is essential for addressing significant
global challenges such as climate change, world hunger, and energy demand. Future …

Engineering virtual internships are a novel paradigm for providing authentic engineering
experiences in the first-year curriculum. They are both individualized and accommodate …

This paper details a new dimension to an existing internship program developed in
response to the effects of COVID-19 in a creative industries faculty at a large Australian …

When text datasets are very large, manually coding line by line becomes impractical. As a
result, researchers sometimes try to use machine learning algorithms to automatically code …

One of the goals of Educational Data Mining is to develop the methods for student modeling
based on educational data, such as; chat conversation, class discussion, etc. On the other …

Collaborative problem-solving (CPS) is defined as an inherently sociocognitive phenomena.
Despite this, extant learning analytic techniques tend to focus on either the social or …

Women of color have been historically underrepresented in the engineering discipline.
Recent studies suggest that women of color experience a double bind because of their …

This work is a step towards full automation of auto-mentoring processes in multi-player
online environments such as virtual internships. We focus on automatically identifying …