Sixth Sense Tutoring System Anil Omanwar Balashaheb Darade Outline Introduction Prototype Design- SSTS Challenges Proposed Design Conclusion and Results.
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Sixth Sense Tutoring System Anil Omanwar Balashaheb Darade Outline Introduction Prototype Design- SSTS Challenges Proposed Design Conclusion and Results Introduction Teaching Learning Cycle ITS – Definition – Needs – Advantages Sixth Sense Fuzzy Logic – fuzzy set theory – approximate rather than precisely deduced from classical predicate logic. Teaching Learning Cycle Access what your students know Diagnose where each student needs help Prescribe the most effective instruction/mode Teach the right material at right time Report the results ITS Definition – A learning technology that dynamically adapts learning content to objectives, needs, and preferences of a learner by making use of his expertise in instructional methods and the subject to be taught. – Focuses on computer tutors that adapts to individual students Needs – – – – Lack of Expert Classroom teaching Knowledge level gaps Different interest Advantages Personal Tutor Reduce burn out of Teacher Any time any where Can be used by Many Fixed- Time Fixed Place Classroom Anytime Anywhere Personal Prototype Design- SSTS System Architecture System Tour Algorithms – Error Rate Processing – Wrong Question Processing System Acquisition System Architecture Human TutoringGoto Instruction 01 And that’s why the Cowboys won’t make the playoffs this year. Simple Algorithm Instruction 01 Uhhh… Test OKAY, why don’t you paraphrase what we just covered? If Fail If Pass Terrell Owens is a nutcase and Bill Parcells is overrated. Let me try that again. Absolutely! Now about the Yankees… Goto Instruction 02 Total Books: 5 Current Book ID: 3 Number of quests to be asked: 5 Learning rate = Total correct answer (3)/ Number of quests to be asked (5) =0.6 NW (Current Book ID) = OW (Current Book ID) * Learning rate = 0.44*0.6=0.264 Error=OW (current book ID) - NW (current book ID) = 0.176 OW (Except current book ID) Total=For Each book NW (i) =OW (i)*share (i) Where, Share= (OW (i)/Total)*Error Old weight New weight B1 B2 B3 B4 B5 0.112 0.21 0.44 0.215 0.324 0.13497 0.253 0.264 0.255 0.390 +ve Filter -ve Filter null Filter System Acquisitions System Student Tutoring Mode Transition Tutoring Mode Acquisition Transition Link Acquisition Challenges If students merely keep guessing until they find an action that gets positive feedback, they can learn to do the right thing for the wrong reasons – shallow learning The tutor does not ask students to explain their actions – multiple choice questions The user interface of tutoring systems requires students to display many of the details of their reasoning – no stepping back to see the “basic approach” When students learn quantitative skills (e.g., algebra or physics problem solving), they are usually not encouraged to see their work from a qualitative, semantic perspective Proposed Design Hardware Design –Emotion Transit –This corresponds to thought, a thought that is aimed to be transmitted from one mind to machine and ultimately to second mind at the blink of an eye. –DSP-FPGA codesign Software Design –Thin Client –Web-based Design Affective States Confusion Frustration Boredom Flow Delight Surprise Neutral Visual – IBM Blue eyes camera Posture – Body Pressure Measurement System Tutor Speech intonation Text dialog Pressure – force sensitive mouse and keyboard Conclusion and Results ITS is to aid the Human teacher not to Replace SSTS –An ITS Developed Web Based Solution to ITS Cost effective solution Related Work "Signal Processing with DSP-FPGA Codesign for hard real time control system" “Emotional Transit”, selected for IEEE Compute Society International Design Contest ’05.