The global shortage of skilled programmers remains a persistent challenge. High dropout rates in introductory programming courses pose a significant obstacle to graduation. Previous studies highlighted learning difficulties in programming students, but their specific weaknesses remained unclear. This gap exists due to the predominant focus on the…

In this paper, I introduce the notion of participative epistemology and discuss how it can contribute to make social data science more accountable. I do so by offering the case of a project where ethnographic, computational and sequence analysis methods have been used in combination. By presenting here in greater detail research design and pilot…

Statistical literacy, the ability to understand and make use of statistical information including methods, has particular relevance in the age of data science, when complex analyses are undertaken by teams from diverse backgrounds. Not only is it essential to communicate to the consumers of information but also within the team. Writing from the…

In response to the underrepresentation of minoritized groups employed in the computer science (CS) field, this study aims to enhance underrepresented minoritized (URM) students' motivation for CS through an intervention informed by culturally relevant pedagogy theory in a required high school mathematics course. This intervention integrated…

The Organization for Economic Co-operation and Development (OECD) estimated that approximately 9% of current jobs within OECD member states are threatened with automation and digitalization--all significant successes and advances in artificial intelligence, robotics, and computer science. With such global changes and forecasts, in the labor…

Purpose: The focus on innovation as a foundational element of enhanced organisational performance has led to the promoting and valuing of greater levels of employee participation in innovation processes. An emergent concept of employee-driven innovation could be argued to have hindered understandings of the creative and transformative nature of…

The authors of this report aim to understand the health of the science, technology, engineering, and mathematics (STEM) education and labor market in the Appalachia region -- defined as the intersection of Ohio, Pennsylvania, and West Virginia -- with a focus on the mining and extraction industry. This report is the third in a three-part series.…

This second of five annual reports focuses on employment and wages in energy and advanced manufacturing-related industries and on science, technology, engineering, and mathematics (STEM) education indicators in the Appalachia Partnership Initiative (API) region, comprising twenty-seven counties in Ohio, Pennsylvania, and West Virginia. Together,…

This first of five annual reports focuses on employment and wages in energy and advanced manufacturing--related industries and on science, technology, engineering, and mathematics (STEM) education indicators in the Appalachia Partnership Initiative (API) region. Together, these reports will capture trends over the next four years to (1) inform the…

Program comprehension is the most important and frequent process in software maintenance. Extensive research has found that individual characteristics of programmers, differences of computer programs, and differences of task-driven motivations are the major factors that affect the program comprehension results. There is no study specifically…

Technological change has become the mode of operation for today's organizations, with organizations in need of constantly training employees on their latest technological changes. There are now four generations working in the same workforce, but only the youngest generation has grown up with technology tools integrated in their daily processes. If…

Commenting source code has long been a common practice in software development. This thesis, consisting of three pieces of work, made novel use of the code comments written in natural language to improve software reliability. Our solution combines Natural Language Processing (NLP), Machine Learning, Statistics, and Program Analysis techniques to…