Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Study Plan

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2014/2015 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010 A.A. 2008/2009

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea in Scienze dell'educazione - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

CURRICULUM TIPO:
Modules Credits TAF SSD
Between the years: 2°- 3°
14
F
-
Between the years: 1°- 2°- 3°
12
D
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Computer Science, Multimedia and Education - TECNOLOGIE INFORMATICHE E MULTIMEDIALI NEI CONTESTI EDUCATIVI  (2022/2023)

Teaching code

4S008159

Teacher

Gaetano Bruno Ronsivalle

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

Sem. 2A dal Feb 13, 2023 al Mar 30, 2023.

Erasmus students

Not available

Lessons timetable MoodleMoodle Seminars 0

To show the organization of the course that includes this module, follow this link:  Course organization

Program

The course program is divided into three parts:

(1) PART ONE: IT and multimedia
- Main concepts: hardware, software, algorithms, usability and accessibility
- Internet, Web, Social Networks, Cybercrime and IT security
- Multimedia technologies and digital formats

(2) PART TWO: Information technologies and educational processes
- General principles of Instructional Design and Multimedia Learning
- Digital Learning, LMS platforms and technologies for dual teaching
- New technologies for teaching and support: Coding and Educational Robotics

(3) PART THIRD: The new digital intelligence
- Human Intelligence, AI and Hybrid Intelligence
- The process of transforming digital data into information
- Acquisition, Memory, Computation, Representation, Activation and Adaptation

Bibliography

Vai alla bibliografia
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

The lessons are divided into moments of frontal teaching and analysis of application cases through the support of multimedia tools (slides, videos, audio fragments, graphics, infographics, animations, applications in demo mode). There are also some testimonies and guided exercises for the deepening of good practices in the management of Web and Social Network tools for training and teaching purposes. The course teaching material is available and can be consulted asynchronously in the online environment dedicated to teaching on the University Moodle platform.

Learning assessment procedures

The exam (for attending and non-attending students) is divided into three steps:
STEP 1: WRITTEN TEST (MANDATORY) Compulsory written test to check the knowledge relating to the contents of parts 1 and 2 of the program (1. Computer and multimedia, 2 . IT technologies and human resources development). In particular, the administration of a digital questionnaire consisting of items (questions) of different types (multiple choice, completion, correspondence, concept map) is foreseen. Duration of the test: 60 minutes.
STEP 2: ORAL TEST (MANDATORY) Compulsory oral exam for verification of knowledge relating to the contents of part 3 of the program (3. The new digital intelligence). Access to the test is subject to passing the written exam (Step 1). Duration of the test: about 10 minutes.
STEP 3 : (OPTIONAL) ORAL TEST Optional oral exam to check knowledge related to teaching coding or educational robotics. Access to the test is subject to passing the written exam (Step 1) and the oral exam (Step 2).

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

Step 1 - Written test The structure of the questionnaire reflects the logical architecture of the didactic objectives relating to parts 1 and 2 of the program. The various types of questions correspond to the different levels of complexity of the contents (levels 1 and 2 of Bloom's Taxonomy). Maximum score = 15 points. Minimum exceeding threshold = 9/15.
Step 2 - Oral exam The outline of the oral exam reflects the logical architecture of the didactic objectives relating to part of the 3 program. The open questions correspond to the different levels of complexity of the contents (levels 1 and 2 of Bloom's Taxonomy). Maximum score = 15 points. Minimum exceeding threshold = 9/15.
Step 3 - Oral exam (optional) The outline of the oral exam reflects the logical architecture of the didactic objectives of the reference manual. The open questions correspond to the different levels of complexity of the contents (levels 1 and 2 of Bloom's Taxonomy). Maximum score = 6 points. There is no minimum threshold for exceeding.
The final grade of the module is calculated out of thirty and is equivalent to the sum of the scores obtained in the two compulsory tests and in the optional oral test. Points exceeding the maximum value (30) will automatically be converted into "honors". Minimum passing threshold = 18/30.

Exam language

Italiano