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TRENDS IN TECHNOLOGY BASED LEARNING : TOWARDS TRULY INTELLIGENT TUTORING SYSTEMS. Janis Grundspenkis Riga Technical University Faculty of Computer Science and Information Technology Department of Systems Theory and Design E-mail: Janis.Grundspenkis @cs.rtu.lv. AGENDA. - PowerPoint PPT Presentation
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TRENDS IN TECHNOLOGY BASED LEARNING: TOWARDS TRULY
INTELLIGENT TUTORING SYSTEMS
Janis Grundspenkis
Riga Technical UniversityFaculty of Computer Science and
Information TechnologyDepartment of Systems Theory and Design
E-mail: [email protected]
AGENDA TRADITIONAL vs. TECHNOLOGY
BASED LEARNING VIRTUAL LEARNING: DIFFERENT
TERMS AND VIEWS E-LEARNING M-LEARNING
INTELLIGENT TUTORING SYSTEMS HYBRID SYSTEMS FOR LEARNING CONCLUSIONS
TRADITIONAL LEARNING (1)
FACE-TO-FACE (“TALK AND CHALK”)
“+” Explanation Communication
• Between the teacher and students• Among students
Adaptation to individual students (in case of small number of students)
TRADITIONAL LEARNING (2)
FACE-TO-FACE (“TALK AND CHALK”)
“-” Different teaching quality depending on
teacher (pace dependent) Strict schedule (time and place
dependent) Weak adaptation to individual students
(in case of large number of students)
VIRTUAL LEARNING: DIFFERENT TERMS AND VIEWS* (1)
* Anohina A. Clarification of the Terminology Used in the Field of Virtual Learning. In: Scientific Proceeding of Riga Technical University, 5th Series, Computer Science, Applied Computer Systems, Vol. 17, RTU Publishing, Riga, 2003, pp. 94-102.
Basic term Connective Educational concept
Computer
AidedAssisted
AugmentedBased
ExtendedManagedMediatedMonitoredRelated
Supported
EducationInstructionLearningTeachingTraining
VIRTUAL LEARNING: DIFFERENT TERMS AND VIEWS* (2)
* Anohina A. Clarification of the Terminology Used in the Field of Virtual Learning. In: Scientific Proceeding of Riga Technical University, 5th Series, Computer Science, Applied Computer Systems, Vol. 17, RTU Publishing, Riga, 2003, pp. 94-102.
Basic term Educational concept
Distance
EducationInstructionLearningTeachingTraining
VIRTUAL LEARNING: DIFFERENT TERMS AND VIEWS* (3)
* Anohina A. Clarification of the Terminology Used in the Field of Virtual Learning. In: Scientific Proceeding of Riga Technical University, 5th Series, Computer Science, Applied Computer Systems, Vol. 17, RTU Publishing, Riga, 2003, pp. 94-102.
Basic term Educational concept
Internet based
EducationInstructionLearningTeachingTraining
VIRTUAL LEARNING: DIFFERENT TERMS AND VIEWS* (4)
* Anohina A. Clarification of the Terminology Used in the Field of Virtual Learning. In: Scientific Proceeding of Riga Technical University, 5th Series, Computer Science, Applied Computer Systems, Vol. 17, RTU Publishing, Riga, 2003, pp. 94-102.
Basic term Educational concept
Online
EducationInstructionLearningTeachingTraining
VIRTUAL LEARNING: DIFFERENT TERMS AND VIEWS* (5)
* Anohina A. Clarification of the Terminology Used in the Field of Virtual Learning. In: Scientific Proceeding of Riga Technical University, 5th Series, Computer Science, Applied Computer Systems, Vol. 17, RTU Publishing, Riga, 2003, pp. 94-102.
Basic term Educational concept
Technology based
EducationInstructionLearningTeachingTraining
VIRTUAL LEARNING: DIFFERENT TERMS AND VIEWS* (6)
* Anohina A. Clarification of the Terminology Used in the Field of Virtual Learning. In: Scientific Proceeding of Riga Technical University, 5th Series, Computer Science, Applied Computer Systems, Vol. 17, RTU Publishing, Riga, 2003, pp. 94-102.
Basic term Educational concept
Web based
EducationInstructionLearningTeachingTraining
VIRTUAL LEARNING: DIFFERENT TERMS AND VIEWS (7)
RELATIONSHIPS OF TERMS
ComputerBased
Technology BasedDistance
Online
InternetBased
WebBased
E-LEARNING (1) “+”
Teaching and self-paced learning of anyone, at anytime, anywhere
Substantial cost savings due to elimination of travel expenses
Just-in-time access to timely information Modularity of presentation (facilitates
different construction of learning events)
E-LEARNING (2) “+”
Improved collaboration and interactivity among students
Content can be updated and delivered in real-time
Higher retention of content through personalized learning
Online training is less intimidating than instructor-led courses
E-LEARNING (3)
“-” Learning materials cost quite a lot more
than textbooks Requires more time, dedication, and
time management skills Weak motivation (absence of teacher) Lack of real time communication Weak support from the e-learning
environment
M-LEARNING
Mobile devices open the possibility of collaborative and independent learningCellular phonesSmart phonesPersonal digital assistants (PDA)
INTELLIGENT TUTORING SYSTEMS (1)
AIM To provide sophisticated
instructions on one-to-one basis adapting the learning process to the strength, weaknesses and the level of knowledge and skills of each particular learner
INTELLIGENT TUTORING SYSTEMS (2)TASKS Monitoring of actions of the learner in
the learning environment Appropriate responding to them Assessment of learner’s knowledge Choice and presentation of learning
material Presentation of feedback and help Adaptation of teaching strategy
INTELLIGENT TUTORING SYSTEMS (3) Incorporation of a new concept Web
semantics thanks to the development of “more expressive” mark-up languages and mainly to the use of ontologies
Convergence of Artificial Intelligence and Learning Environments
Convergence of Knowledge Management Systems and Multi-Agent Systems
AGENT BASED INTELLIGENT TUTORING SYSTEMS* (1)STRUCTURE Expert module (the domain knowledge concerns
objects and their relationships taught by the system) Tutoring module (holds teaching strategies and
instructions needed to implement the learning process)
Student diagnosis module (infers the student model for each individual)
Communication module (responsible for the interaction between the system and the learner)
* Grundspenkis J. and Anohina A. Agents in Intelligent Tutoring Systems: State of the Art. In: Scientific Proceedings of Riga Technical University, 5th Series, Computer Science, Applied Computer Systems, Vol. 22, RTU Publishing, Riga, 2005, pp. 110-120.
AGENT BASED INTELLIGENT TUTORING SYSTEMS* (2) Agents comprising the student diagnosis module of
intelligent tutoring system
* Grundspenkis J. and Anohina A. Agents in Intelligent Tutoring Systems: State of the Art. In: Scientific Proceedings of Riga Technical University, 5th Series, Computer Science, Applied Computer Systems, Vol. 22, RTU Publishing, Riga, 2005, pp. 110-120.
AGENT BASED INTELLIGENT TUTORING SYSTEMS* (3) Agents comprising the tutoring module of intelligent
tutoring system
* Grundspenkis J. and Anohina A. Agents in Intelligent Tutoring Systems: State of the Art. In: Scientific Proceedings of Riga Technical University, 5th Series, Computer Science, Applied Computer Systems, Vol. 22, RTU Publishing, Riga, 2005, pp. 110-120.
AGENT BASED INTELLIGENT TUTORING SYSTEMS* (4) Agents comprising the expert module of intelligent
tutoring system
* Grundspenkis J. and Anohina A. Agents in Intelligent Tutoring Systems: State of the Art. In: Scientific Proceedings of Riga Technical University, 5th Series, Computer Science, Applied Computer Systems, Vol. 22, RTU Publishing, Riga, 2005, pp. 110-120.
AGENT BASED INTELLIGENT TUTORING SYSTEMS* (5)
A set of agents comprising the architecture of an intelligent tutoring system (gray boxes are managing agent in a given component)
* Grundspenkis J. and Anohina A. Agents in Intelligent Tutoring Systems: State of the Art. In: Scientific Proceedings of Riga Technical University, 5th Series, Computer Science, Applied Computer Systems, Vol. 22, RTU Publishing, Riga, 2005, pp. 110-120.
ANIMATED PEDAGOGICAL AGENTS Animated pedagogical agents emulate
aspects of dialogue between the teacher and the learner
Roles of animated pedagogical agents Agent as an expert (it is similar to human expert
and exhibits mastery of extensive knowledge and performs better than the average within a domain
Agent as a motivator (it suggests its own ideas and encourages the learner)
Agent as a mentor (it incorporates characteristics of both the expert and the motivator
HYBRID COURSES (1) Hybrid courses offer a blend of in-class
teaching and online learning and is an attempt to combine the best elements of traditional face-to-face teaching with the best aspects of distance education
Hybrid courses combine traditional lecture, seminar or lab sections with online and other technology based learning
HYBRID COURSES (2) A significant part of the course
learning is online, and as a result, the amount of classroom seat-time is reduced
Hybrid courses encourage active, independent study and reduce the amount of time students spend in the classroom
HYBRID COURSES (3) Students spend more time working
individually and collaboratively on assignments, projects, and activities
Students who successfully complete hybrid courses are typically self-motivated learners who possess a working knowledge of computers and the Internet
HYBRID COURSES (4) Faculty spend less time lecturing
and more time reviewing and evaluating student work and guiding and interacting with students
Allow students much more flexible scheduling, while maintaining the face-to-face contact with the teacher
HYBRID COURSES (5) “+”
More learning, understanding, and retention
More interaction and discussion•Students are more engaged
More student and learning centered•Less listening and more active learning•Students are more accountable for own
learning
HYBRID COURSES (6) “+”
Teachers can document & examine student work more thoroughly online than face-to-face
Faculty can teach in new ways•Accomplish new learning goals and
objectives•More hands on student involvement with
learning•Provides opportunities to learn in different
ways
HYBRID COURSES (7) “-”
Involves an extensive course redesign Difficult to define optimal proportion
between traditional face-to-face teaching and online learning
Difficult to select which topics include in traditional face-to-face teaching and which topics left for online learning
RESOURCES FOR HYBRID COURSES UWM Hybrid Course Web Site
http://www.uwm.edu/Dept/LTC/hybrid.html
UWM Student Hybrid Course Web Site http://www.uwm.edu/Dept/LTC/hybridcourses.html
Teaching With Technology Today – Hybrid issue http://www.uwsa.edu/ttt/browse/hybrid.htm
CONCLUSIONS A lot of work has been done in technology
based learning but many problems still exist New technologies offer new opportunities
and new challenges Intelligent tutoring systems and animated
pedagogical agents provide more adaptive support for learning
Hybrid courses offer a good balance between traditional face-to-face teaching and distance learning