EU-StORe Creating European Standards for Open Education and Open Learning Resources ( RO01-KA ) Gabriella Agrusti LUMSA University (Rome, Italy) Third EU-StORe Meeting – Rome, Italy January 27th – 29th 2016
Target group: teachers and would-be teachers of different school levels Content areas: 1.Students’ transversal basic skills improvement Literacy (reading, writing) Numeracy 2.Fostering students’ prospective active citizenship Environmental sustainability Civic Education Financial literacy Tackling effectively bullying at school 3.Teachers’ Professional development ICT OERs Overview of national OER integrated in the EU-StORe database (1) ITALY
Overview of national OER integrated in the EU-StORe database (2) ITALY TopicContent AreaLink Writing and re- writing texts Literacy e.it/nuove_risorse/scrivere- testi-da-testi/ Relationships between Math and Language Numeracy e.it/nuove_risorse/una- merenda-dalla-lepre- marzolina Food sovereignty explained to students Environmental sustainability t/tool-kit Human Rights Education at school Civic Education m/pages/ServeBLOB.php/L/I T/IDPagina/51http:// nesty.it/scuola/secondaria- primo-grado How to select an OER, how to create it and share it Professional Development in ICT e.it/nuove_risorse/come- scegliere-una-risorsa- didattica-documentare- unesperienza-in-classe/
An OER example: “A snack by the March Hare” Competences: Reading/numeracy Target group: Primary school - Grade 4-5 Average estimated time: hours Reading (finding explicit information in the text) Numeracy (directly and inversely proportional)
Chances and challenges concerning the use of the database Chances: To professionalize the OERs’ use by teachers To provide final users with a “sneak peek” of OERs produced in other European countries To create a common set of well-established core values for quality definition To identify the minimum set of features necessary to fruitfully use an OER in daily classes Challenges: “Disappearances” of one OER from the Italian selected pool, that was substituted. How to deal with this issue? Difficulties in reading the long text fields in the DB Need for descriptive/summary statistics on the scores assigned (e.g. per country, per topic, per target group..) Need for “word labels” assigned to scores (0= not provided, 1 = extremely poor ….6= excellent), explaining N/A functioning in the DB
Contacts Skype: gagrusti Phone: Mobile: Skype: valedamiani1982 Skype: elisa.muscillo LUMSA University Via di Porta Castello, Roma (Italy) Facebook: