It is one sign of the lack of understanding of the value of the humanities, to educational research and inquiry as well as to our world more widely, that such justifications of them as are offered frequently take a crudely instrumental form. The humanities (which in this essay are not distinguished from the arts) are welcomed insofar as they are…

Because of the mixed research-based nature of literature reviews, it is surprising, then, that insufficient information has been provided as to how reviewers can incorporate mixed research approaches into their literature reviews. Thus, in this article, we provide a mixed methods research approach--Q methodology--for analyzing information…

In this paper, we argue that in order to bind Teach For All's universalizing statement of problems and solutions to the specificities and the special conditions of member programs' local contexts, what is needed is a shared set of discursive practices, a way of bringing together the commonalities found in each country while separating the noise of…

This article estimates the effects of school expenditure on school performance in government secondary schools in New South Wales, Australia over the period 2006-2010. It uses dynamic panel analysis to exploit time series data on individual schools that only recently has become available. We find a significant but small effect of expenditure on…

This paper discusses issues of research design and methods in new materialist social inquiry, an approach that is attracting increasing interest across the social sciences as an alternative to either realist or constructionist ontologies. New materialism de-privileges human agency, focusing instead upon how assemblages of the animate and inanimate…

Curriculum based measurement of reading (CBM-R) is used to monitor the effects of academic interventions for individual students. Decisions to continue, modify, or terminate instructional programs are made by interpreting patterns of observations collected across time. Educators visually analyze or apply decision rules to evaluate student…

How can we automatically determine which skills must be mastered for the successful completion of an online course? Large-scale online courses (e.g., MOOCs) often contain a broad range of contents frequently intended to be a semester's worth of materials; this breadth often makes it difficult to articulate an accurate set of skills and knowledge…

Estimating the prerequisite structure of skills is a crucial issue in domain modeling. Students usually learn skills in sequence since the preliminary skills need to be learned prior to the complex skills. The prerequisite relations between skills underlie the design of learning sequence and adaptation strategies for tutoring systems. The…

In this digital era, learning from data gathered from different software systems may have a great impact on the quality of the interaction experience. There are two main directions that come to enhance this emerging research domain, Intelligent Data Analysis (IDA) and Human Computer Interaction (HCI). HCI specific research methodologies can be…

Common Education Data Standards (CEDS) Version 4 introduced a common data vocabulary for defining rubrics in a data system. The CEDS elements support digital representations of both holistic and analytic rubrics. This document shares examples of holistic and analytic project rubrics, available CEDS Connections, and a logical model showing the…

In this article, we propose using the Bayes factors (BF) to evaluate person fit in item response theory models under the framework of Bayesian evaluation of an informative diagnostic hypothesis. We first discuss the theoretical foundation for this application and how to analyze person fit using BF. To demonstrate the feasibility of this approach,…

The authors introduce the Preparation in STEM Leadership Program at Rutgers, The State University of New Jersey. This NSF-Funded program and research study creates a centralized training program for peer leaders that includes a battery of assessments to evaluate peer leaders' content knowledge, pedagogical knowledge, communication skills, and…

In recent years, performance management (PM) has become a buzzword in public sector organizations. Well-functioning PM systems rely on valid performance data, but critics point out that conflicting rationale or logic among professional staff in recording information can undermine the quality of the data. Based on a case study of social service…

Social media websites such as Facebook and Twitter provide an unprecedented amount of qualitative data about organizations and collective behavior. Yet these new data sources lack critical information about the broader social context of collective behavior--or protect it behind strict privacy barriers. In this article, I introduce social media…

Strong relationships with senior administrators, effective cross-campus collaboration, and efficient use of technology are central to impactful IR in small colleges.