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Promoting the use of INVALSI data for scientific research and teaching.
The Seminar “INVALSI data: a tool for teaching and scientific research” will be held in Rome from 25th to 28th November 2021. This event, which has reached its 6th edition, has the purpose to promote the use of INVALSI data for scientific research and teaching. The data collected every year by INVALSI are a useful tool for investigating the characteristics of the Italian school system and for defining appropriate support or enhancement interventions. All interested parties are invited to submit research works based on INVALSI data.
We inform our kind users that the modality of carrying out, either in person or electronically, the VI edition of the Seminar “INVALSI data: a tool for teaching and scientific research” has not yet been decided; the decision will be made in October based on the evolution of the health situation.
The event takes place under the patronage of
National students’ tests: how to make them comparable
Session co-organized with Espanet Italia
Scientific coordinator: Emmanuele Pavolini (Espanet Italia), Patrizia Falzetti (INVALSI)
An increasing number of countries has been introducing in recent decades tests in order to measure students’ achievements during their school years. It is a very rich and interesting material that allows policy makers, education professionals and researchers to study in-depth how the education system works and to improve it. At the same time, there are difficulties in partially homogenising the data collected in different countries in order to make them more comparable. Therefore, An important goal for the professionals and scientific community working on education systems would be to start discussing on how to adopt protocols and data collection choices that would allow for partial comparability of the data collected, following what has been done, for instance, by the Luxemburg Income Study in relation to measures of wealth and income.
Keywords: educational systems, comparability, skills
Support and evaluation of education and training policies: synergies between institutions
Session co-organized with ISTAT
Scientific coordinator: Barbara Baldazzi (ISTAT), Patrizia Falzetti (INVALSI)
The National Statistical Systems are called upon to respond to issues that the last year has highlighted and further accentuated: school drop-outs, inadeguate skills, difficulties in accessing tertiary education, educational poverty and the vulnerability of some categories of subjects. The PNRR also presents a mission entirely devoted to the education, training and research system. A fundamental prerequisite for responding to these stimuli is harmonisation and standardisation of administrative and survey sources and their integration for a comprehensive reading of the phenomenon. Indeed, it becomes important and necessary to have timely and accurate monitoring data, included in international frameworks such as the SDGs, shared and produced in synergy among the various providers of statistics. The papers presented in the session will try to highlight the potential of interaction between different data sources.
Keywords: Early leavers from education and training, skills, interactions, integrated systems, monitoring
The postpandemic educational challenges
Session co-organized with Save the Children
Scientific coordinators: Antonella Inverno (Save the Children), Patrizia Falzetti (INVALSI)
Italy is characterized by unequal educational offer: lack of early childhood services, full-time programmes in primary and lower secondary schools, school feeding programmes and sports equipment and infrastructures, along with unsafe, not innovative or inclusive learning environments, insufficient new media education. In addition, the cooperation between schools and non profit organizations, civil society and cultural institutions is, in many areas, very limited. All these factors lead a large number of children and youth leaving school early. A reversal of the trend in public investments in schools is necessary. However, it is essential to establish which territories to prioritize limited financial resources available, and what indicators of severe educational deprivation to be used to channel resources. Can a “data collaborative” system help to identify the areas most at risk in terms of educational poverty?
Keywords: educational poverty, inequalities, indicators, data collaboratives, territories, public investments
Citizenship competences among Italian youth. A comparative perspective
Scientific coordinators: Maria Magdalena Isac (researcher, KU Leuven, Centre for Political Research), Patrizia Falzetti (INVALSI)
In light of recent crises, not least the COVID-19 pandemic, citizenship competences (e.g., civic knowledge and skills, norms of good citizenship, political trust, political participation, tolerance) have been highlighted as central mechanisms ensuring the functioning of democracies and of a sustainable, equitable, and inclusive world. International data gathered by INVALSI such as the International Civic and Citizenship Education Study (ICCS) can help to advance our understanding of the development of such competences in youth as well as the social and educational factors associated with such development. In this session, we welcome contributions that focus on citizenship competences in Italian youth in an internationally comparative perspective and include reflections on implications for educational policy and practice.
Keywords: citizenship competences, citizenship education, internationally comparative research, International Civic and Citizenship Education Study (ICCS)
INVALSI data: a tool to improve teaching
Scientific coordinators: Ellen Claes (associate professor, KU Leuven, Centre for Political Research), Patrizia Falzetti (INVALSI)
Achieving quality teaching is one of the main objectives of the school system. On the one hand, it must be able to give adequate responses to the expectations of all stakeholders and, on the other hand, to introduce tools, actions and checks through which the training offer can be constantly improved. the contributions presented in this session must be about the difficulties and perspectives of teaching and pave the way for new solutions, thanks to INVALSI data.
Keywords: teaching practices, learning, educational research, technologies and tools in education, innovation and school improvement
INVALSI data and student characteristics
Some learning milestones are valid for all students. However, these goals are achieved with different times and methods. The study of individual characteristics such as gender, origin, background socio-economic-cultural background, etc. highlights differences and similarities that have always distinguished school results. Contributions presented in this session, of which the INVALSI data constitute a valuable resource, require surveys to discuss the issue of school inclusion and strategic proposals in order to fill learning gaps.
Keywords: background socio-economic-cultural background, gender, origin, gaps, school performance, inclusion, school effect
The Covid-19 pandemic and the effects on school results
Scientific coordinators: Andres Sandoval Hernandez (Head of Department of Education, University of Bath), Patrizia Falzetti (INVALSI)
School education is an organized form of education that takes place in schools and practices a great influence on members of society. What happens when the organization loses its best known form? The closure of the school was, in fact, one of the first measures put in place to counter the spread of the Covid-19 virus. The works presented in this session will be able to use INVALSI data to investigate how and to what extent the closure of schools may have influenced students' learning.
Keywords: covid-19, Dad, DID, results, strategies, quality of the education system
Methods and models applied to INVALSI data
Scientific coordinators: Daniele Vidoni (policy officer, European Commission, DG Competition), Patrizia Falzetti (INVALSI)
The purpose of a mathematical model is to represent a specific object or phenomenon as incisively as possible and its purpose is to make future prognoses on a system. INVALSI data therefore constitute a large-scale database for their application. In this session we will welcome those contributions that will indicate new solutions and perspectives for the school system as a whole.
Keywords: mathematical models, methodologies, data, innovation, experimentation
Interested parties must send an abstract (in Italian and English, maximum 6,000 characters including spaces for each) together with 3-6 keywords (in Italian and English) and a short biography (maximum 350 characters including spaces , in Italian and English) of each author / co-author.
Guidelines for abstracts' submission
For both the scientific research and the teaching tier, abstracts must summarize the entire work in order to allow readers to quickly get an idea of the contribution. Therefore they should be:
- accurate: the abstract should reflect the aims and content of the contribution. Do not include information that does not appear in the contribution;
- non-evaluative: must report data and not judge;
- coherent and legible: the language must be clear and concise; use verbs rather than equivalent nouns and the active form rather than the passive one.
In order to improve the evaluation, both abstracts must be prepared in the following format and using the following paragraph style:
- Introduction, which will help to clarify the work orientation by using references available in literature;
- Object and research hypothesis;
- Data used;
Guidelines for abstracts' submission
- Contributions relating to a scientific research work should be written in English with slide presentation in English.
- Contributions relating to a work on teaching should be written in Italian with slide presentation in Italian.
At the end of the Seminar, authors will have the opportunity to publish their works, if not already published or in the process of being published, in a volume with an ISBN code.
An anti-plagiarism software will be used to check the works.
All the specifications concerning the editorial rules will be provided later by e-mail.
August 9th, 2021
Start call for paper.
September 1st, 2021
Abstract presentation opening.
September 25th, 2021 October 2nd, 2021
Deadline abstract submission.
October 15th, 2021
Communication of accepted abstracts.
October 16th - November 2nd, 2021
15 21 novembre 2021
November 15th, 2021
30 gennaio 2022
Submission of the contribution.
Esteemed keynote speakers will introduce the main themes of the conference.