Teaching code

4S02405

Teacher

Gaetano Bruno Ronsivalle

Coordinator

Gaetano Bruno Ronsivalle

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

Sem. 2B dal Apr 7, 2025 al May 24, 2025.

Courses Single

Authorized

Lessons timetable Moodle Seminars 0

Learning objectives

General aims : Knowing and understanding methods of research and measurement of psychological phenomena related to the individual, interpersonal relationship and groups Specific learning objectives:  define the fundamental concepts of computer science  describe the functionality of the Office Automation  describe the applications of computer science in the knowledge society  illustrate the fundamental concepts and tools of multimedia  illustrate multimedia applications in communication and entertainment  define the principles of Multimedia Learning by Mayer  describe the characteristics of online teaching and mobile learning  describe the different formats and characteristics of digital andmultimedia contents  illustrate the functions of a Learning Management System (LMS)  designe and implement a LO, Learning Object linked to the gamefication.

Prerequisites and basic notions

No prior knowledge is required.

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 teaching
- General principles of Instructional Design and Multimedia Learning
- Digital Learning, LMS platforms and technologies for dual teaching
- New technologies to support human resource management processes
(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

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 both attending and non-attending students) is divided into three steps:
STEP 1: A questionnaire to verify knowledge relating to parts 1 and 2 of the program. This test is mandatory and consists of 60 questions of various types. Test duration: 60 minutes.
STEP 2: A questionnaire to verify knowledge relating to part 3 of the program. This test is mandatory and involves answering open-ended questions. Test duration: 60 minutes. Access to this test is contingent upon passing Step 1.
STEP 3 (optional):
3.A. Oral interview to verify the knowledge related to one of the books indicated by the teacher. Access to the test is subject to passing the written exam (Step 1) and the oral exam (Step 2).
3.B. 3.B. Optional Artificial Intelligence project work.
During the lessons, students will have the opportunity to take some intermediate tests.

Evaluation criteria

Step 1 - 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 = 75%.
Step 2 - The structure of the questionnaire reflects the logical architecture of the didactic objectives relating to part 3 of the program. The open questions correspond to the different levels of complexity of the contents (levels 1 and 2 of Bloom's Taxonomy). Minimum exceeding threshold = 60%.
Step 3
- 3.A. 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 = 3 points. There is no minimum threshold for exceeding.
- 3.B. 3.B. The exam consists of the submission and presentation of an AI Project Work. Maximum score = 3 points. There is no minimum threshold for exceeding.

Criteria for the composition of the final grade

The final grade for the module is calculated on a scale of thirty and is equivalent to the sum of the scores obtained in the mandatory tests and the optional oral exam. Any points exceeding the maximum value (30) will automatically be converted into “laude”. Minimum passing threshold for the exam = 18/30.

Exam language

Italiana

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