Curriculum maps have long served as useful guides in the careful design of a curriculum's pedagogical aims and where they are to be achieved, however such a map cannot indicate how students are actually moving through the curriculum. This article discusses traffic models. When employed in the study of courses drawn from multiple departments,…

We provide an overview of existing and emerging ways that institutional researchers can leverage National Student Clearinghouse data to expand a culture of data-driven decision-making across campus, with a focus on examples from the field.

As technology has become ubiquitous in learning contexts, there has been an explosion in the amount of learning data. This creates opportunities to draw on the decades of learner modelling research from Artificial Intelligence in Education and more recent research on Personal Informatics. We use these bodies of research to introduce a conceptual…

This response to Neil Selwyn's paper, 'What's the problem with learning analytics?', relates his work to the ethical challenges associated with learning analytics and proposes six ethical challenges for the field.

Cronbach's alpha is the most frequently used measure to investigate the reliability of measurement instruments. Despite its frequent use, many warn for misinterpretations of alpha. These claims about regular misunderstandings, however, are not based on empirical data. To understand how common such beliefs are, we conducted a survey study to test…

Cohen's kappa coefficient is commonly used for assessing agreement between classifications of two raters on a nominal scale. Three variants of Cohen's kappa that can handle missing data are presented. Data are considered missing if one or both ratings of a unit are missing. We study how well the variants estimate the kappa value for complete data…

Past research indicates that individuals respond adaptively to contextual factors in multiattribute choice tasks. Yet it remains unclear how this adaptation is cognitively governed. In this article, empirically testable implementations of two prominent competing theoretical frameworks are developed and compared across two multiattribute choice…

In the changing landscape of libraries and the roles of librarians, the area of Research Data Management (RDM) is emerging with new opportunities and challenges. This literature review identifies the current levels of publication that deal with the relationship of the librarian and their role in the research data management process and provides an…

In fiscal year 2017, The Ohio State University Libraries in Columbus piloted the purchase of research data sets to explore how to integrate this format into the standard workflows of the collections strategist and electronic resources officer. The pilot project had few restrictions except that one-time money must be used and purchases must be…

According to the simple view of writing (Berninger, Abbott, Abbott, Graham, & Richards, 2002), the two important components of transcription in writing are handwriting and keyboarding, the third one being spelling. The purpose of this paper is to review the contribution of two writing modes--handwriting and keyboarding to writing performance.…

The field of "learning design" studies how to support teachers in devising suitable activities for their students to learn. The field of "learning analytics" explores how data about students' interactions can be used to increase the understanding of learning experiences. Despite its clear synergy, there is only limited and…

Preferences for schools are important determinants of equitable access to high-quality education, effects of expanded choice on school improvement and school choice mechanism design. Standard methods for estimating consumer preferences are not applicable in education markets because students do not always get their first choice school. This review…

The Colorado Growth Model (CGM) was developed jointly by the Colorado Department of Education (CDE), the Technical Advisory Panel for Longitudinal Growth (TAP), and the National Center for the Improvement of Educational Assessment (NCIEA). Its development was required by state statute (SB09-163) and assigned to the Technical Advisory Panel. The…

Quadratic modeling problems are commonplace in high school mathematics courses; they typically situate quadratic patterns of change and their corresponding parabolic graph within real-world contexts. Traditional approaches to this type of problem lend themselves to making connections across different representations (e.g., Garofalo and Trinter…

Deep learning (DL), as the core technology of artificial intelligence (AI), has been extensively researched in the past decades. However, practical DL education needs large marked datasets and computing resources, which is generally not easy for students at school. Therefore, due to training datasets and computing resources restrictions, it is…