Authors:
Sandro Reis
;
Denis Shirnin
and
Denis Zampunieris
Affiliation:
University of Luxembourg, Luxembourg
Keyword(s):
Technology Enhanced Learning, Intelligent Tutoring Systems, Proactive System.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Computer-Supported Education
;
e-Learning
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Technology Enhanced Learning
;
Ubiquitous Learning
Abstract:
We show in this position paper how we designed Proactive Scenarios for an automatic and enhanced management
of the online assignments on MoodleTM for both student and teacher users, through their implementation
with Proactive Rules to be run on top of our prototype Proactive Engine developed for this LMS. According
to the diversity of issues that arise from the users activity on LMS, Proactive Scenarios are of two main types,
which differ in their main goals, features and complexity. Meta Scenarios are devoted to capture major events
of interest and to trigger off the dedicated Target Scenarios, which will undertake the appropriate actions.
These Proactive Scenarios will thus take care of specifically predefined situations such as notifications, reminders,
problem prevention, user guiding etc. In our opinion, LMS supplemented by such capabilities could
provide a boosted effect on the students’ learning process as it takes an individual approach for each user and
therefore could be ch
aracterized as a type of intelligent tutoring system. However, in order to sustain or modify
the direction of our research activity, we now consider to undertake empirical studies on real-life online
courses using the Enhanced E-learning Platform, which runs our Proactive Scenarios.
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