Exploring the Robustness of a Unidimensional Item Response Theory Model With Empirically Multidimensional Data

Unidimensionality and local independence are two common assumptions of item response theory. The former implies that all items measure a common latent trait, while the latter implies that responses are independent, conditional on respondents’ location on the latent trait. Yet, few tests are truly unidimensional. Unmodeled dimensions may result in test items displaying dependencies, which can lead to misestimated parameters and inflated reliability estimates. In this article, we investigate the dimensionality of interim mathematics tests and evaluate the extent to which modeling minor dimensions in the data change model parameter estimates. We found evidence of minor dimensions, but parameter estimates across models were similar. Our results indicate that minor dimensions outside the primary trait have negligible consequences on parameter estimates. This finding was observed despite the ratio of multidimensional to unidimensional items being above previously recommended thresholds.     

A closer look at bilingual students’ use of multimodality in the context of an area comparison problem from a large-scale assessment

In this article, we use multimodality to examine how bilingual students interact with an area task from the National Assessment of Educational Progress in task-based interviews. Using vignettes, we demonstrate how some of these students manipulate the concrete materials, and use gestures, as a primary form of structuring their explanations and making mathematical meaning. We use our results as a basis to challenge the possible deficit perspective of bilingual students’ mathematical knowledge in current assessment practices. Choosing tasks that afford multiple modes of engagement and recognizing multimodal explanations in assessment practices has the potential to move us towards a better understanding of what bilingual students know and can do mathematically.     

Personality as a Predictor of First‐Semester Adjustment to College: The Mediational Role of Perceived Social Support

Personality was hypothesized to predict college adjustment because of the role of perceived social support. A sample of 111 freshmen completed measures of personality, perceived social support, and college adjustment twice in their 1st semester. Perceived social support mediated the relationships between 3 personality factors (Emotional Stability, Social Boldness, and Abstractedness) and college adjustment, highlighting perceived social support as a point of intervention to improve 1st‐semester students' college adjustment.     

The Impact of Prior Counseling on Predictors of College Counseling Center Use

Path analyses revealed that one's tendency to conceal distressing information, social support, psychological distress, and attitudes toward seeking help predicted intended use of counseling services for college students who had and had not previously been in counseling. Prospective analyses revealed that attitudes toward seeking help predicted actual use of the campus counseling center. These findings have implications for campus outreach programs and in‐session work with clients.     

A prototype grammar kit in PROLOG

This article presents a prototype of a computerized grammar kit written in PROLOG and implemented on a LISP machine. The kit consists of tools and examples intended to be used by children interested in exploring language. A grammar written in PROLOG using this tool kit can be used not only to parse, but also to generate, sentences. A serious shortcoming of PROLOG for children is that when a program misbehaves one must understand its complex operational semantics. A major tool in the grammar kit to alleviate this problem is a dynamic graphical tracer which uses a backtracking turtle. This allows the user to see a parse tree as it is being built and, as a side-effect, gives a better understanding of PROLOG's chronological backtracking.The research reported herein was supported by the Swedish Board for Technical Development (STU) and Atari Research, Cambridge, Massachusetts.     

Responding to a fiscal crisis: a data‐driven approach

The Division of Planning and Institutional Improvement (PAII) at Indiana University–Purdue University Indianapolis provides for the campus data for academic planning and management, assessment and evaluation services, and progress reports on mission‐critical goals. To respond to a forecast fiscal crisis and support long‐range planning for the Division, staff undertook a survey of deans and other key campus stakeholders to determine which of its services were best‐known and considered most useful for unit‐level planning and decision‐making, especially as these units faced the same projections of severe fiscal constraints. Findings indicated greater awareness and use of PAII data among deans than among other academic leaders and provided important insights into the kinds of data needed most for decision‐making. These outcomes will guide the Division’s future strategies for educating deans and other stakeholders on underused, but potentially useful, services and for selecting new services to offer.     

Theorising student engagement in higher education

Student engagement has become problematic following the rise of mass and universal forms of higher education. Significant attention has been devoted to identifying factors that are associated with higher levels of engagement, but it remains the case that the underlying reasons for student engagement and, indeed, the notion itself of ‘student engagement’ remain weakly theorised. In this article, we seek to develop the theoretical basis for student engagement in a way that highlights the student's own contribution. We explore how learning involves students taking responsibility for action in the face of uncertainty, whether in pursuit of personal or communal concerns. Drawing on perspectives primarily from realist social theory, we suggest that student engagement may be shaped by extended, restricted and fractured modes of reflexivity and co‐reflexivity. In this way student engagement in higher education is theorised as a form of distributed agency, with the impact of a learning environment on this agency mediated by reflexivity. Reflexivity itself is further influenced by the tasks and social relations encountered by students in a given learning environment. The role that social relations play in students' responses to learning specifically offers a means to strengthen the moral basis for education. Our account provides an explanation as to why specific educational practices, such as those termed ‘high impact’, might lead to higher levels of student engagement within the wider context of a knowledge society. We thus offer insights towards new forms of educational practice and relations that have the potential to engage students more fully.