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1st International Conference on Measurement in #STEM #Education (MESE1)
30/01/2023 – 01/02/2023
The Political Sciences and Physics “E. Pancini” Departements of Federico II University organize the 1๐๐ ๐ฐ๐๐๐๐๐๐๐๐๐๐๐๐ ๐ช๐๐๐๐๐๐๐๐๐ ๐๐ ๐ด๐๐๐๐๐๐๐๐๐๐ ๐๐ #๐บ๐ป๐ฌ๐ด #๐ฌ๐ ๐๐๐๐๐๐๐ (MESE1).
The complete programme for the MESE1 Conference is already available in the website:
https://indico.unina.it/event/60/program
Our colleague, Michele Marsili, is one the invited keynotes: ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐๐
๐๐๐๐-๐๐๐๐๐ ๐๐๐๐๐๐๐๐ ๐๐
๐๐๐๐๐๐๐ ๐๐๐๐๐
https://indico.unina.it/event/60/page/85-keynotes
๐ผ๐๐ฃ๐๐ก๐๐ ๐๐๐ ๐ ๐๐๐
๐๐ฌ๐ ๐จ๐ ๐๐๐๐๐๐๐ ๐๐๐ญ๐ ๐๐จ๐ซ ๐ซ๐๐ฌ๐๐๐ซ๐๐ก ๐จ๐ง ๐๐๐๐ ๐๐๐ฎ๐๐๐ญ๐ข๐จ๐ง
๐๐๐ญ๐ซ๐ข๐ณ๐ข๐ ๐๐ข๐๐ง๐ง๐๐ง๐ญ๐จ๐ง๐ข ๐๐ง๐ ๐๐๐ญ๐ซ๐ข๐ณ๐ข๐ ๐
๐๐ฅ๐ณ๐๐ญ๐ญ๐ข โ A Study Of Gender Differences In The Selection Of Stem Courses At University With Large Scale Assessment Data Of INVALSI
๐๐จ๐ซ๐๐ง๐ณ๐จ ๐๐๐ซ๐๐ฏ๐ข๐ ๐ฅ๐ข๐ โ Open Research Using INVALSI Data And Multilevel Models
๐๐ง๐๐ซ๐๐ ๐๐๐ง๐๐ข๐ง๐๐ฅ๐ฅ๐ข โ A Counterfactory Approach To The Evaluation Of Educational Policies: Methodology, Variables And Results
๐๐ฆ๐ข๐ฅ๐ข๐๐ง๐จ ๐๐๐ฆ๐ฉ๐จ๐๐ข๐๐ข๐จ๐ซ๐ข โ The Calculation Of Socio-Economic-Cultural Status Indicator Of Learners From INVALSI Data
๐๐๐๐๐ โ๐๐๐
๐๐ง๐ญ๐ซ๐จ๐๐ฎ๐๐ญ๐ข๐จ๐ง ๐จ๐ง ๐๐๐ฑ๐ญ ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐๐๐ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ (M. Marsili)
https://indico.unina.it/event/60/page/67-invited-sessions-and-workshops
Others information at this link:
https://indico.unina.it/event/60/overview
Clicca sull’immagine per scaricare la slide “Automated corrections of open ended question of INVALSI tests”.
Clicca sull’immagine per scaricare la slide “A COUNTERFACTUAL APPROACH TO THE EVALUATION OF SCHOOL POLICIES: METHODS AND MODELS OF ANALYSIS”.
Clicca sull’immagine per scaricare la slide “The Calculation Of Socio-Economic-Cultural Status Indicator Of Learners From InvalsiData”.
Clicca sull’immagine per scaricare la slide “A STUDY OF GENDER DIFFERENCES IN THE SELECTION OF STEM COURSES AT UNIVERSITY WITH LARGE SCALE ASSESSMENT DATA OF INVALSI”.
Clicca sull’immagine per scaricare la slide “Open Research using INVALSI data and multilevel models”.