1,720,977 research outputs found
Analysing SET over time using multilevel multidimensional explanatory IRT models
This contribution makes an attempt to analyze students' ratings of university teaching on a broad prospective, trying to adjust the final assessment
from a wide range of factors which jointly may influence the process under evaluation: academic year peculiarities, course characteristics, students' characteristics and item dimensionality. From a methodological point of view, by setting complex
Item Response models as special case of Generalized Linear or Mixed Models a
large flexibility is introduced in the specification of ad hoc modelling approaches for the analysis of students' ratings
Building up adjusted indicators of students' evaluation of university courses using generalized item response models
This article advances a proposal for building up adjusted composite indicators of the quality of university
courses from students’ assessments. The flexible framework of Generalized Item Response Models is
adopted here for controlling the sources of heterogeneity in the data structure that make evaluations across
courses not directly comparable. Specifically, it allows us to: jointly model students’ ratings to the set of
items which define the quality of university courses; explicitly consider the dimensionality of the items
composing the evaluation form; evaluate and remove the effect of potential confounding factors which may
affect students’ evaluation; model the intra-cluster variability at course level. The approach simultaneously
deals with: (i) multilevel data structure; (ii) multidimensional latent trait; (iii) personal explanatory latent
regression models. The paper pays attention to the potential of such a flexible approach in the analysis of
students evaluation of university courses in order to explore both how the quality of the different aspects
(teaching, management, etc.) is perceived by students and how to make meaningful comparisons across
them on the basis of adjusted indicators
Evaluation lecturer's capability over time. Some evidence from surveys on university course quality
The attention towards the assessments of quality of courses, degree programs
and faculties has determined an increasing interest in collecting and analyzing
longitudinal data on students’ evaluations. This study focuses on students’
opinions gathered in three consecutive academic years. The main aim is to test a
suitable method to evaluate lectures’ performance over time moving
from students’
assessments on several aspects of lecturers’ capabilities. The use of
the same measurement
instrument to assess lecturer’s performance allows to shed some light on
changes that occur over time and to attribute them to different
factors. Longitudinal
analysis is a tool to build up specific paths of performance of
lecturer’s capability
and to highlight units characterized by particular positive or
negative performance
trends
The high school effect on students’ mobility choices
This paper looks into the relationship between students’ university choices and their secondary school background. The main aim is to assess the role of secondary schools in steering university applications toward local or non-local institutions, also in the light of the tertiary education supply available in students’ areas of residence. With this aim, we classify students’ mobility choices by using a robust definition of local and non-local universities that accounts for the uncertainty in the definition of students’ local areas and their characteristics. In this framework, we apply a multilevel model to jointly consider the high school effect on the probability of students belonging to one specific category of mobility (local, forced non-local, free non-local) conditional upon students’ macro areas of residence, their chosen university and field of study. The findings highlight that high schools have a relevant role in affecting students’ mobility choices, especially when considering local universities. The magnitude of the effect depends on students’ macro area of residence. In particular, this result highlights that schools may pursue specific guidance policies to address students’ choices toward local universities; furthermore, it suggests that their influence on students is stronger in areas hosting the most important universities
Correction to: Analysing the determinants of Italian university student mobility pathways, (Genus, (2021), 77, 1, (34), 10.1186/s41118-021-00146-2)
Following the publication of the original article (Columbu et al., 2021) we were informed that the authors’ given and family names had unfortunately been interchanged. The author names have been corrected in the author list of this Correction and updated in the original article
University choice and the attractiveness of the study area. Insights from an analysis based on generalized mixed-effect models
Differences of cultural capitol among students in transition to university some first survey evidences
The role played by ‘Cultural Capital’ is crucial in shaping students’ decisions with respect to the school university transition. This work is based on an ad hoc survey carried out on a sample of students enrolled in 2006 in the University of Cagliari. The ‘cultural capital’ is a latent variable which students are supposed to possess at a greater or lesser degree. It has been here operationalized in four sub-components: (i) built-up by activities made by students themselves; (ii) built up by activities made by students’ parents; (iii) transmitted by students’ parents; (iv) built-up by formal education experiences. Each sub-component has been evaluated via students’ responses to a battery of items in a questionnaire. Latent Class Analysis has been adopted in order to provide non arbitrary scaling of some of the sub-components and to sort out mutually exclusive classes of students, characterized by a different intensity of the latent variable. Moreover, Item Response Models have been used to assess the calibration of the questionnaire as an instrument to measure the cultural capital of the targeted population
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