TY - GEN
T1 - Work in progress - Intelligent tutoring system framework for the acquisition of knowledge and competences
AU - Vernet, David
AU - Nicolas, Ruben
AU - Golobardes, Elisabet
AU - Fornells, Albert
AU - Garcia-Piquer, Alvaro
PY - 2010
Y1 - 2010
N2 - Even though there are many tutoring systems to help students achieve their goals in terms of theoretical knowledge, as yet there is no system to foment the acquisition of the competences which form an integral part of university degree programs. This issue is crucial because the Higher Education System is changing in Europe. New educational models are being created to introduce competences which correspond specifically to degree programs. In this work-in-progress the general framework to develop an Intelligent Tutoring System (ITS) based on competences is presented. The system monitorizes the acquisition of theoretical knowledge and also the assessment of the competences related to the subject and it takes corrective actions when needed to fix a negative evolution of the student. The framework is divided into four main phases based on artificial intelligence techniques: construction, location, prediction and reinforcement. The main feature of the proposed framework is the fact that it promotes the academic development of the student in the future educational context by providing guidance and supervision to ensure the successful acquisition of both theoretical knowledge and the corresponding subject-related competences.
AB - Even though there are many tutoring systems to help students achieve their goals in terms of theoretical knowledge, as yet there is no system to foment the acquisition of the competences which form an integral part of university degree programs. This issue is crucial because the Higher Education System is changing in Europe. New educational models are being created to introduce competences which correspond specifically to degree programs. In this work-in-progress the general framework to develop an Intelligent Tutoring System (ITS) based on competences is presented. The system monitorizes the acquisition of theoretical knowledge and also the assessment of the competences related to the subject and it takes corrective actions when needed to fix a negative evolution of the student. The framework is divided into four main phases based on artificial intelligence techniques: construction, location, prediction and reinforcement. The main feature of the proposed framework is the fact that it promotes the academic development of the student in the future educational context by providing guidance and supervision to ensure the successful acquisition of both theoretical knowledge and the corresponding subject-related competences.
KW - Assessment
KW - Competences
KW - Distance learning
KW - Intelligent tutoring systems
UR - http://www.scopus.com/inward/record.url?scp=78751528202&partnerID=8YFLogxK
U2 - 10.1109/FIE.2010.5673610
DO - 10.1109/FIE.2010.5673610
M3 - Conference contribution
AN - SCOPUS:78751528202
SN - 9781424462599
T3 - Proceedings - Frontiers in Education Conference, FIE
SP - T4G1-T4G2
BT - 40th Annual Frontiers in Education Conference
T2 - 40th Annual Frontiers in Education Conference: Celebrating Forty Years of Innovation, FIE 2010
Y2 - 27 October 2010 through 30 October 2010
ER -