Search

As the debate on data in the society and in education grows the attention on data-trace as 'primary material' for governance, educational quality and innovation falls under the spotlights. In this context, HEIs have been put under pressure to adopt quantitative metrics and evaluation approaches enhancing the massive collection of trace data. Nonetheless, each university overall, and the academics specifically, might respond differently to this context of innovation. The present article aims to explore data practices in two higher education institutions. Two relevant areas for the imaginaries related to data and quantification were explored: (a) evaluation of quality in teaching and learning; (b) data to support assessment. The study is based on a survey distributed to the whole university teaching staff of two institutions. Descriptive and inferential statistics comparing multivariate sample means (MANOVA) were applied to 601 responses collected. The results indicated the prevalence of institutionally consolidated data practices relative to quality teaching evaluation, with fragmentation and isolation in some emerging data practices connected to decision-making and teaching and learning. Moreover, each of the universities revealed distinct institutional profiles which could be put in connection with the organisational culture. The results are discussed in light of the potential strategies at the institutional level, particularly regarding faculty development as means to build a visible, contextualised data culture.

The spread of COVID-19 pandemic upturned higher education routines, inducing a shift to online learning which sometimes translated into a huge leap towards didactic experimentation. While exposing critical issues in existing teaching methodologies and assessment processes, such emergency distance education condition could spark meaningful educational innovation. This paper describes an international study engaging teachers of professionalizing courses in the educational area across the world (N=120). The aim was to investigate their perception of the induced distance education in terms of teaching methodology and assessment practices. Emerging findings indicate a silver lining in the midst of the pandemic storm, as teaching practices gear more towards being student-centred.

This work discusses the professional outcomes of University of Padova graduates in academic year 2007/08. Its aim was to carry out an overall assessment of higher education professional outcomes, involving all the main actors of the learning process, students, teachers and tutors, in a perspective of participatory evaluation, to improve teaching and tutoring. The research design complements qualitative and quantitative approaches to data analysis. First, professional outcomes were analyzed according to longitudinal survey data, on a random sample of 210 graduates in Educational Sciences, interviewed within three years of obtaining their degree. The results of two parallel studies, sequential to the quantitative survey, are presented, involving 98 professors and 10 tutors in evaluation of professional outcomes. In particular, discourse analysis was applied to actors' free answers during semi-structured interviews, which focused on positive aspects and criticism of the courses analyzed, and potential improvements to them.

Feedback is crucial for improving student learning. In this regard, overcoming the transmissive conception of feedback in favour of its dialogic function introduces new reflections concerning the internal generative feedback process. In this regard, Nicol [(2020). The power of internal feedback: Exploiting natural comparator processes. Assessment & Evaluation in Higher Education, 46(5), 756–778. ; (2021). Guiding learning by activating students' inner feedback. Times Higher Education] outlines the concept of self-feedback, i.e., the continuous comparative process that students produce from various external information and sources triggering internal feedback. In this context, the present research aims to explore students' perceptions concerning the activation of internal/self-feedback, investigating which sources are most effective from their point of view, and researching the relationships between different individual characteristics. The results show that students' individual differences and contextual cultural factors might play a crucial role in creating ideal environments to enable the generation of self-feedback. Finally, students consider the teacher to be most effective in activating self-feedback, and many have never experienced self-feedback or automated feedback situations. [ABSTRACT FROM AUTHOR]

The spread of Covid-19 pandemic upturned higher education routines, inducing a shift to online learning which sometimes translated into a huge leap towards didactic experimentation. While exposing critical issues in existing teaching methodologies and assessment processes, such emergency distance education condition could spark meaningful educational innovation. This paper describes an international study engaging teachers of professionalizing courses in the educational area across the world (N=120). The aim was to investigate their perception of the induced distance education in terms of teaching methodology and assessment practices. Emerging findings indicate a silver lining in the midst of the pandemic storm, as teaching practices gear more towards being student-centred.

In recent years, there has been increasing emphasis on the benefits of social media and social network sites to foster young people's participation in digital public spaces and their civic engagement. Using the principles of the Student Voice approach, this study investigated the use of a Facebook group to support secondary school students' voices and viewpoints on school quality and policy (N = 98). The results showed that students were reluctant to be active in the group for several reasons, such as mistrust of school policies and resistance to combining Facebook use with school-related issues. The low participation provided clues to reflect on the design of Student Voice projects to support civic engagement at school and to evaluate the use of digital sites to support Student Voice. Some considerations on the reasons for project failure and how to successfully reach student participation in a technology-enhanced environment at school that addresses power relations, authenticity and inclusion are provided.

Copyright of Ricerche di Pedagogia e Didattica is the property of Universita di Bologna, Dipartimento di Scienze dell'Educazione and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As the debate on data in the society and in education grows the attention on data‐trace as 'primary material' for governance, educational quality and innovation falls under the spotlights. In this context, HEIs have been put under pressure to adopt quantitative metrics and evaluation approaches enhancing the massive collection of trace data. Nonetheless, each university overall, and the academics specifically, might respond differently to this context of innovation. The present article aims to explore data practices in two higher education institutions. Two relevant areas for the imaginaries related to data and quantification were explored: (a) evaluation of quality in teaching and learning; (b) data to support assessment. The study is based on a survey distributed to the whole university teaching staff of two institutions. Descriptive and inferential statistics comparing multivariate sample means (MANOVA) were applied to 601 responses collected. The results indicated the prevalence of institutionally consolidated data practices relative to quality teaching evaluation, with fragmentation and isolation in some emerging data practices connected to decision‐making and teaching and learning. Moreover, each of the universities revealed distinct institutional profiles which could be put in connection with the organisational culture. The results are discussed in light of the potential strategies at the institutional level, particularly regarding faculty development as means to build a visible, contextualised data culture. [ABSTRACT FROM AUTHOR]