To what extent is capital expenditure in UK higher education meeting the pedagogical needs of staff and students?

Capital expenditure at United Kingdom (UK) universities is rapidly rising, with new buildings erected on the premise that national and international competitiveness must be maintained. We examine students’ engagement with and conceptualisation of university estate, and explore broader questions about the extent to which building design can support, and indeed change, students’ approaches to learning. Drawing on data collected from 10 staff members and over 200 students at a major UK institution, including detailed one-to-one interviews, we capture users’ often complex interactions with their university environment. Our findings confirm that when asked what would most improve their learning experience, students do not rank building design highly; interactional factors, such as contact time with staff, are considered more valuable. Our conclusion is that returns on capital investment would be boosted if pedagogical needs were prioritised more highly in the design of university buildings, and pedagogical opportunities communicated more clearly to users upon completion.     

Helping Teachers Formulate Sound Test Accommodation Decisions for Students with Learning Disabilities

This paper introduces a data-based approach as an alternative way to help teachers formulate decisions about the validity of test accommodations for students with LD. Three rationales for the approach are provided: (a) an inadequate research base to guide decision-making; (b) the heterogeneity of the LD population; and (c) problems with teachers' use of subjective judgment. Well-controlled studies on test accommodations are too scarce to draw firm conclusions about effects for the group of students labeled learning disabled (LD). Moreover, in light of the heterogeneity of learning disabilities, the individual, rather than the LD label, may be the more appropriate unit for deciding which test accommodations preserve the validity of test scores for students with LD. In this paper, we provide a rationale for a data-based approach to help teachers formulate decisions about the validity of test accommodations for individual students with LD. Then we describe an objective assessment process teachers may use in determining valid test accommodations. We conclude with recommendations for practitioners.     

Analysis of external degree student participation and attitudinal variables

Adult student participation and attitudinal variables were examined in a university external capstone degree program utilizing Cross's Chain-of-Response model. Future goal orientation, anticipated educational benefits, attitude toward prior learning, program barriers, and program supports were all examined. Demographic characteristics were cross-tabulated with the responses to the variables and no differences were found. A number of important variables were identified and discussed using Cross's Chain-of-Response model.     

Query Expansion with Long-Span Collocates

The paper presents two novel approaches to query expansion with long-span collocates—words, significantly co-occurring in topic-size windows with query terms. In the first approach—global collocation analysis—collocates of query terms are extracted from the entire collection, in the second—local collocation analysis—from a subset of retrieved documents. The significance of association between collocates was estimated using modified Mutual Information and Z score. The techniques were tested using the Okapi IR system. The effect of different parameters on performance was evaluated: window size, number of expansion terms, measures of collocation significance and types of expansion terms. We present performance results of these techniques and provide comparison with related approaches.