Implementation of artificial intelligence assessment in engineering laboratory education

dc.contributor.author	Σαμαράκου, Μαρία Τ.	el
dc.contributor.author	Φυλλαδιτάκης, Εμμανουήλ Δ.	el
dc.contributor.author	Πρεντάκης, Παντελής	el
dc.contributor.author	Αθηναίος, Σπύρος Σ.	el
dc.date.accessioned	2015-06-07T16:36:29Z
dc.date.available	2015-06-07T16:36:29Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15488
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.researchgate.net/profile/Emmanouil_Fylladitakis/publication/269278298_Implementation_Of_Artificial_Intelligence_Assessment_In_Engineering_Laboratory_Education/links/5485f0c90cf268d28f02b939.pdf	en
dc.subject	εκπαίδευσης υποβοηθούμενη από υπολογιστή
dc.subject	Διαδραστικό περιβάλλον μάθησης
dc.subject	Εργαστήριο εκπαίδευσης
dc.subject	προφίλ φοιτητή
dc.subject	Διασκευή
dc.subject	Distance education--Computer-assisted instruction
dc.subject	Interactive learning environment
dc.subject	Laboratory education
dc.subject	Student profiling
dc.subject	Text adaptation
dc.title	Implementation of artificial intelligence assessment in engineering laboratory education	en
heal.type	conferenceItem
heal.classification	Πληροφορική
heal.classification	Πληροφοριακά συστήματα
heal.classification	Computer science
heal.classification	Information systems
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	N/A-Πληροφοριακά συστήματα
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	http://skos.um.es/unescothes/C01993
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2009123556
heal.identifier.secondary	ISBN: 978-989870408-5
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Ενεργειακής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2014-07-15
heal.bibliographicCitation	Samarakou, M., Fylladitakis, E.D., Prentakis, P. and Athineos, S. (2014) Implementation of artificial intelligence assessment in engineering laboratory education. Proceedings of the International Conference e-Learning 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014. International Conference e-Learning 2014. pp.299-303. Lisbon, Portugal	en
heal.abstract	In laboratory courses, the assessment of exercises and assignments typically is treated as a simple, quantifiable approach. This approach however rarely includes qualitative factors, especially if the grading is being automatically performed by the system, and provides little to no feedback for the students to reflect on their work. The role of the laboratory in engineering education however is very critical and engineering students must possess knowledge that goes beyond mere theory, therefore a diverse and multidimensional assessment of laboratory students is a necessity. In this paper, an educational tool for laboratory students implementing automatic assessment based on artificial intelligence is being proposed, based on a pilot version that has been developed for MATLAB-related coursework. The highlights of the proposed tool is that it is based on a proven cognitive theory, it is easy to compile and or modify its contents, it is based on the same laboratory environment that the students are being trained in, it can include qualitative evaluation and it can save time that the educators would otherwise require to manually evaluate the exercises.	en
heal.fullTextAvailability	true
heal.conferenceName	Proceedings of the International Conference e-Learning 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014	en
heal.conferenceItemType	full paper