Transcript Trends of the Usage of Adaptive Learning in Intelligent Tutoring

RIGA TECHNICAL UNIVERSITY
Faculty of Computer Science and Information Technology
Institute of Applied Computer Science
Trends of the Usage
of Adaptive Learning
in Intelligent Tutoring Systems
PhD student Jānis
DĀBOLIŅŠ
[email protected]
Baltic DB & IS 2012
Tenth International Baltic Conference on Databases and Information Systems
July 8-11, 2012, Vilnius, Lithuania
• Learning
• Technology enhanced learning
• Intellectual Tutoring System,
development
• Adaptive teaching
• Feedback
Time
Time
period
period 11
Time
Time
period
period 22
Experience
Behaviour (the action
or reaction of
something,
observation)
Changed behaviour
Learning process
• Specialized equipment, auditorium
facilities, interactive whiteboards etc.
• Distance learning, Web Seminars –
Webinar
(Webex),
e-learning
(Blackboard, Moodle), m-learning
(mobile phones)
• Intellectual Tutoring Systems - ITS
(animated pedagogical agents, selfappraisal tests, tutoring robots).
• The sequence of curriculum is made so
that the student may easily adapt
himself/herself, besides material is
demonstrated to the student just when
he/she needs it.
• ITS gives detailed feedback to the
learner on the imperfect or false solution,
helping to learn from ones mistakes.
• Problem solving methods - little help is
provided to the learner, so the right
solution is achieved.
Expert Module
Learner Module
Tutoring Module
Interface Module
• ITS is an adaptive computer-based system
• ITS uses methods of artificial intelligence
(natural language processing, knowledge
representation – knowledge of problem
domain, pedagogical knowledge and
knowledge about student, inference, and
machine learning
• ITS ensures adaptive and individualized
tutoring, it partly simulates a human
teacher.
• ITS is based on tutoring and cognitive
theory.
• Assist learners in identifying their false
beliefs, becoming aware of their
misconceptions and inadequacies, and
reconstructing their knowledge.
• Help learners to determine performance
expectations, identify what they have
already learned and what they are able to
do, and judge their personal learning
progress.
• Support
learners
towards
the
achievement of the underlying learning
goals.
• In former studies e-learning systems mostly have been
formed as systems for information supply, where lectures
or distance learning materials are available in e-format.
• In the latest researches target has been set to
individualized e-learning system, directed to the student.
• Technology enhanced learning have adaptation gaps,
where one of the solutions is ITS – where realization of
adaptation is made, so that ITS is brought nearer to the
person’s ability to learn (best examples IKAS and
COMPASS).
• When analyzing existing ITS we may conclude that their
development is progressing, but still it is not at the level
where ITS fully realizes adaptive training.
• ITS drawbacks, elaborating and research is very current
topic because of e-learning privileges, thereby we may
consider development in the direction of ITS to
overcome their imperfections.
Thank you for attention!