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Intelligent Tutoring Systems (ITS) (What is ITS (computer learning…
Intelligent Tutoring Systems (ITS)
conventional computer-based training (CBT)
studies material presented in a lesson,
gets tested with a multiple-choice test or another objective test
gets feedback on the test performance,
re-studies the material if the performance in
progresses to a new topic if performance exceeds threshold
ITSs enhance CBT with respect to the adaptability, grain size, and the power of computerized learning environments.
Components of Intelligent Tutoring Systems
Interactivity.
The system systematically responds to actions of the student.
Adaptivity
. The system presents information that is contingent on the behavior, knowledge, and
characteristics of the student.
Feedback.
The system immediately gives feedback to the student on the quality of the student’s
performance and how the quality could be improved.
Choice.
The system gives students options on what to learn to encourage self-regulated learning
Nonlinear access.
The technology allows the student to select or receive learning activities in an
order that deviates from a rigid scripted order.
Linked representations
. The system provides quick connections between representations that
emphasize different conceptual viewpoints, pedagogical strategies, and media
Open-ended learner input
. The system allows the students to express themselves through natural
language, drawing pictures, and other forms of open-ended communication
communication with other people
, where the student communicates with one or more other people who are either peers or experts on the subject matter
What is ITS
computer learning environment that helps
students master knowledge and skills by implementing intelligent algorithms that adapt to students at a fine-grained level and that instantiate complex principles of learning
also possible to have an automated tutor or mentor interact with small teams of learners in collaborative learning and problem-solving environments
stronger verbal foundation as opposed to mathematics and precise analytical reasoning
one student at a time
developed for mathematics and other computationally well-formed topics.
exist in other STEM areas
knowledge, skills, and other psychological attributes and adaptively responds to the learner by applying computational models in artificial intelligence
frequently improve
learning over reading text and traditional teacher-directed classroom teaching
interaction is unique and the space of possible interactions is extremely large, if not infinite
Pedagogical Interactions in Intelligent Tutoring Systems