Computing tools and methodologies for e-learning
Educational objectives: The course aims to provide students with the notions of IT technologies and methodologies in the field of e-learning and media education. In particular, the course introduces students to basic IT notions that allow them to understand the mechanisms and software underlying the development and utilisation of systems for e-learning, distance learning, promotion and communication of socio-educational activities, cultural animation and digital publishing. Aspects of artificial intelligence related to education will also be covered.
Expected learning outcomes:
Knowledge and understanding:
Solid knowledge of IT methodologies and tools to be applied in e-learning and media education, knowledge and utilization of new media and the role of artificial intelligence in innovating teaching and learning processes.
Applying knowledge and understanding:
Application of knowledge related to IT methodologies and technologies in an effective and intelligent way in the fields of e-learning and media education and development of awareness of the use of these tools.
Making judgements:
Development of self-assessment and selection of the most suitable teaching strategies and intelligent solutions that can be proposed in the field of e-learning and media education.
Communication skills:
Communicating, conveying and developing knowledge and skills in the field of education using appropriate vocabulary.
Learning skills:
Being able to navigate the constant innovations in technology and intelligent systems for distance learning, e-learning and media education.
Educational objectives: The course aims to provide students with the notions of IT technologies and methodologies in the field of e-learning and media education. In particular, the course introduces students to basic IT notions that allow them to understand the mechanisms and software underlying the development and utilisation of systems for e-learning, distance learning, promotion and communication of socio-educational activities, cultural animation and digital publishing. Aspects of artificial intelligence related to education will also be covered.
Expected learning outcomes:
Knowledge and understanding:
Solid knowledge of IT methodologies and tools to be applied in e-learning and media education, knowledge and utilization of new media and the role of artificial intelligence in innovating teaching and learning processes.
Applying knowledge and understanding:
Application of knowledge related to IT methodologies and technologies in an effective and intelligent way in the fields of e-learning and media education and development of awareness of the use of these tools.
Making judgements:
Development of self-assessment and selection of the most suitable teaching strategies and intelligent solutions that can be proposed in the field of e-learning and media education.
Communication skills:
Communicating, conveying and developing knowledge and skills in the field of education using appropriate vocabulary.
Learning skills:
Being able to navigate the constant innovations in technology and intelligent systems for distance learning, e-learning and media education.
teacher profile teaching materials
Information encoding. Binary positional encoding, character encoding, image and sound representation.
Computer networks. Local area Networks (LAN). Internet protocols: ip, tcp/udp, http.
Operating systems cand client-server architectures. Web servers
Formal languages: python, html, css, php.
Systems and languages for database management. Database design and SQL language.
Programme
theory of computatio. While language.Information encoding. Binary positional encoding, character encoding, image and sound representation.
Computer networks. Local area Networks (LAN). Internet protocols: ip, tcp/udp, http.
Operating systems cand client-server architectures. Web servers
Formal languages: python, html, css, php.
Systems and languages for database management. Database design and SQL language.
Core Documentation
Teacher's lecturer notesType of delivery of the course
There are classroom lecturers but mainly there are laboratory activities and exercises in the Piazza Telematica laboratoryType of evaluation
Written and oral exam teacher profile teaching materials
The roles in e-learning
The role of the instructional designer
Technologies for e-learning: CMS and LMS
Designing an e-learning course
Content creation and storyboard
Development and delivery of an e-learning course
E-learning and artificial intelligence
Programme
Introduction to e-learning: history and developmentThe roles in e-learning
The role of the instructional designer
Technologies for e-learning: CMS and LMS
Designing an e-learning course
Content creation and storyboard
Development and delivery of an e-learning course
E-learning and artificial intelligence
Core Documentation
Online material, lecturer's handouts.Type of delivery of the course
The course consists of lectures in the classroom and laboratory activities at the Piazza Telematica.Type of evaluation
Project or thesis on one of several proposed topics and oral discussion upon it.