Ψηφιακό Μάθημα για την υποστήριξη της συμπεριληπτικής διδασκαλίας αξιοποιώντας πολυτροπικά μέσα συμπεριλαμβανομένων εργαλείων τεχνητής νοημοσύνης στη διδασκαλία του μαθήματος ΤΠΕ στην πρωτοβάθμια εκπαίδευση για καθηγητές πληροφορικής

Αθανασοπούλου, Αγγελική

A digital self study course for inclusive teaching using multimodal media, including Artificial Intelligence tools, in teaching ICT in primary education for computer science teachers

Master Thesis

Author

Αθανασοπούλου, Αγγελική

Date

2025-10

Abstract

In the modern era, it is observed that more and more young people are incorporating Ar-tificial Intelligence into various aspects of their daily lives. This phenomenon does not leave the field of education unaffected, as it appears that many students also make use of Artificial Intelligence within the learning process. However, although students often use Artificial Intelligence in their daily lives, there is a risk that they may not employ it in a proper and effective way within the educational pro-cess. Therefore, it is necessary that they be trained in its correct use from an early stage, starting already in primary school, so that they can solve real-world problems and adopt a critical approach toward its outcomes, without accepting them uncritically. Despite the increasing importance of Artificial Intelligence in education, there is a notice-able lack of skills in AI literacy among computer science teachers, a fact that makes the cultivation and strengthening of their competencies imperative, so that they can guide all students toward the effective and responsible use of Artificial Intelligence. Within the framework of the present thesis, a digital course was developed with the theme of supporting inclusive teaching by utilizing multimodal means, including Artificial Intelligence tools, for primary school computer science teachers. The purpose of the the-sis is to enhance teachers’ skills in Artificial Intelligence and to cultivate abilities for de-signing inclusive and effective pedagogical methods, such as Project-Based Learning and Problem-Based Learning. These methods promote the solving of authentic problems through the design of AI systems, the critical evaluation of AI outcomes, and the devel-opment of formative assessments in programming lessons, by utilizing the Block Model and digital tools for timely and targeted feedback to students. The digital course, developed within the framework of the present thesis, was imple-mented through the Google Classroom platform and was designed according to the prin-ciples of micro learning. In this context, the innovation of the course lies in training teachers to guide students in the design of AI systems for solving real-world problems and in the evaluation of AI outcomes in accordance with the AILit Framework.

Postgraduate Studies Programme

Ηλεκτρονική Μάθηση

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών Συστημάτων

Number of pages

420

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/18306

Collections

Τμήμα Ψηφιακών Συστημάτων

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα