Ιωάννης Χαϊδούλης

O Ιωάννης Χαϊδούλης είναι υποψήφιος Διδάκτορας στο τμήμα Μηχανικών Πληροφορικής και Υπολογιστών του Πανεπιστημίου Δυτικής Αττικής, κάτοχος μεταπτυχιακού στα Πληροφοριακά Συστήματα MSc, Πτυχιούχος Ηλεκτρονικός Μηχανικός - Εκπαιδευτικός BEng και κάτοχος επίσης δεκάδων πιστοποιήσεων από την Adobe, Cisco, CompTIA και Microsoft.
Έχει τριάντα (30) χρόνια εργασιακή θητεία στον ιδιωτικό τομέα σε διάφορες θέσεις ευθύνης και τριάντα τέσσερα (34) χρόνια διδακτική εμπειρία, (21 χρόνια MCT, 8 σε ΚΕΚ-Πιστοποιημένος, 14 ΛΑΕΚ) και τα τελευταία έξι στην ΑΣΠΑΙΤΕ, σε διάφορα ΙΕΚ καθώς και αναπληρωτής καθηγητής σε ΕΠΑΛ (ΠΕ84).
Είναι μέλος των ACM, CSTA, IAMCT, IEEE, IEEE Computer Society, E3STEM, ΕΕΕΕ, ΕΠΥ, ΕΤΕ και κάποιων ακόμη.

The speaker's profile picture

Sessions

09-24
17:45
15min
An implementation of the STEM epistemology in a Training Framework for in-vehicle networks
Ιωάννης Χαϊδούλης

This paper has two aims: (a) is a study and proposition for changes, based in the STEM epistemology, in some lab lessons of the training framework, concerning the Electrical & Electronic and Mechanical Sector of Universities, the Electrical & Electronic and Mechanical Sector of the Vocational High School (EPAL) and the Mechatronics Specialty of the Vocational Training Institutes and Lifelong Learning Centers (IEK & KEDIVIM) in Greece (and not only them) and (b) is a first step in the construction of a modular, low cost microcontroller based computer system that can implement a large scenario variety both in education and industry. Both the teaching and the learning process are implemented through motivational technics based on the latest educational theories on how to keep your audience more intrigue and make their learning most efficient and pleasant. Arduino, ESP32 & 8266, Raspberry Pi and STM32, micro-controllers, some shields, sensors, actuators and some parts and measurement devices are the hands-on partners that motivate the students to be involved in the whole project that looks simply but it is based in computational experiment methodology and requires engineering knowledge and way of thinking and must combine pieces from different knowledge bases. It is the first of its kind, so it will be tested this year and we will have the actual results next year to make the comparisons with our today predictions, based on our experience.

--
Αίθουσα Εκδηλώσεων ΕΜΠ