Systems thinking is an important skill in science and engineering education. Our study objectives were (1) to create the basis for a systems thinking language common to both science education and engineering education, and (2) to apply this language to assess science and engineering teachers' systems thinking. We administered two assignments to…

Software engineering is team oriented and intensely complex, relying on human collaboration and creativity more than any other engineering discipline. Poor software estimation is a problem that within the United States costs over a billion dollars per year. Effective measurement of team cohesion is foundationally important to gain accurate…

This paper presents research on using a model-driven approach to the development and management of electronic courses. We propose a course management system which stores a course model represented as distinct machine-readable components containing domain knowledge of different course aspects. Based on this formally defined platform-independent…

Land-grant Extension institutions face increasing expectations to use data to communicate value and drive program and organizational development. In this article, we introduce the University of Wisconsin--Extension Data Jam Initiative, an integrated qualitative software, methods, and data analysis curriculum. The Data Jam Initiative is an…

Computer applications related to reading instruction have become commonplace in schools and link with established components of the reading process, emergent skills, decoding, comprehension, vocabulary, and fluency. This article focuses on computer technology in conjunction with durable methods for building oral reading fluency when readers…

Precision medicine refers to the delivering of customized treatment to patients based on their individual characteristics, and aims to reduce adverse events, improve diagnostic methods, and enhance the efficacy of therapies. Among efforts to achieve the goals of precision medicine, researchers have used observational data for developing predictive…

The purpose of the present study was to gather summative and formative data related to the implementation of Zearn Math during the first year of a two-year study. The sample included students in a large urban school district comprised of predominantly African American (58%) and Hispanic (28%) students. Roughly 90% of students are economically…

In this article, we analyze international students' perceptions of their needs when going abroad. The trend toward internationalization and the increase in mobility drives the agenda for globalization in many higher education institutions, and in some cases without any clear strategy for identifying the possible needs of international students.…

Heterogeneity in response styles can affect the conclusions drawn from rating scale data. In particular, biased estimates can be expected if one ignores a tendency to middle categories or to extreme categories. An adjacent categories model is proposed that simultaneously models the content-related effects and the heterogeneity in response styles.…

This paper describes an ePortfolio implementation strategy at Federation University Australia, Victoria (formerly the University of Ballarat). The authors combined a personal and practical viewpoint to elicit pitfalls, challenges, and recommendations for improvement. The paper is divided into three main areas in order to outline the experiments…

We have developed a software-based tool to support a dynamic micro-simulation model of life-course development (to age 13) as an aid to policy makers assessing the impact of policies affecting children. We demonstrate how this approach bridges the research-policy gap by creating: (1) an easy transfer of evidence in a form that policymakers can use…

Recent IS curriculum guidelines compress software development pedagogy into smaller and smaller pockets of course syllabi. Where undergraduate IS students once may have practiced modeling in analysis, design, and implementation across six or more courses in a curriculum using a variety of languages and tools they commonly now experience modeling…

Agent-based modeling has become increasingly popular in recent years, but there is still no codified set of recommendations or practices for how to use these models within a program of empirical research. This article provides ideas and practical guidelines drawn from sociology, biology, computer science, epidemiology, and statistics. We first…

Previous research has demonstrated how young children can identify the signal in data. In this exploratory study we considered how they might also express meanings for noise when creating computational models using recent developments in software tools. We conducted extended clinical interviews with four groups of 11-year-olds and analysed the…

The author reflects on the history of technology in education and e-learning and introduces the iNtegrating Technology for inQuiry (NTeQ) model of lesson design authored by Morrison and Lowther (2005). The NTeQ model lesson design is a new pedagogy for academic instruction in response to the growth of the Internet and technological advancements in…