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Intelligent Tutoring Systems

Intelligent Tutoring Systems. Applicable Learning theories. Affect / emotional influences on learning Communal knowledge Constructivism Information (Miller) Learning Spiral Model. Evolution of ITS. Frequently Asked Questions (FAQs) / knowledge base Matching questions with existing answers

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Intelligent Tutoring Systems

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  1. Intelligent Tutoring Systems

  2. Applicable Learning theories • Affect / emotional influences on learning • Communal knowledge • Constructivism • Information (Miller) • Learning Spiral Model

  3. Evolution of ITS • Frequently Asked Questions (FAQs) / knowledge base • Matching questions with existing answers • Failed matches sent to experts • Results updated to database • PHelpS (peer matching system) • Cyber Tutoring Agent (CTA) • Scenarios • Teacher monitoring • Virtual Teaching Assistance • EINO • Facial recognition • m-learning (mobile platforms) • Watson (IBM)

  4. Tutoring approaches • System tutors some aspects / teacher tutors balance • System tutors some students / teacher the rest • Determine affective state / choose strategy

  5. ITS considerations • Task domain / knowledge classification • User interface • Typing / mouse • Natural language • Facial recognition • Affective computing • Posture • Feedback • Formative • Correct / incorrect • Adaptive responses • Summative

  6. Efficacy / outcomes • Affective • Frustration • Motivation • Confidence • Task performance • Cost-benefit

  7. Possible design framework

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