Development of Intelligent Tutoring System Framework: Using Guided Discovery Learning
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1 Development of Intelligent Tutoring System Framework: Using Guided Discovery Learning Raja Shekhar M.Tech-2 Under the guidance of Prof. Sridhar Iyer June 25, 2012 Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 1 / 52
2 Outline Existing Systems Guided Discovery Learning ITS Support for Guided Discovery Architecture and Modules Integration of the System Conclusion and Future Work Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 2 / 52
3 Existing Systems Developed in- geography, circuits, medical diagnosis, computer programming Some Example ITSs: SQLT-Web: SQL Tutor Autotutor: Physics Tutor. Supports voice interaction. Activemath: Mathematics Tutor Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 3 / 52
4 SQLT-Web Tutor Figure: SQLT GUI Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 4 / 52
5 SQLT-Web Tutor- Architecture Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 5 / 52
6 SQLT-Web Tutor- Architecture Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 5 / 52
7 SQLT-Web Tutor- Architecture Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 5 / 52
8 SQLT-Web Tutor- Architecture Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 5 / 52
9 Assessment- CBM No data Find top 5 students of the semester who have taken atleast 4 courses Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 6 / 52
10 Assessment- CBM No data Uses Constraint Based Modeling(CBM) for assessment Syntax Verification Equivalent constructs checking - Constraints Feedback - Associated to constraints Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 7 / 52
11 Our Framework Problems with existing systems Single teaching style Subject specific - Due to assessment process Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 8 / 52
12 Our Framework Problems with existing systems Single teaching style Subject specific - Due to assessment process Our ITS Framework 4 teaching styles Is not subject specific - Using MCQ for our ITS Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 8 / 52
13 Existing Systems Guided Discovery Learning ITS Support for Guided Discovery Architecture and Modules Integration of the System Conclusion Future Work Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: Using June Guided 25, Discovery 2012 Learning 9 / 52
14 Guided Discovery Learning Hands-on activities Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 10 Learning / 52
15 Guided Discovery Learning Hands-on activities Example: Goal: array memory allocation concept What is the output of the following snippet main(){ int a[]={1,2,3,4}; float b[5]={3.2,8.7,8,9.8}; printf("%u %u %u %u %u",sizeof(int),&a[0],&a[1],&a[2],&a[3]); printf("%u %u %u %u %u",sizeof(float),&b[0],&b[1],&b[2],&b[3]); } Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 10 Learning / 52
16 Guided Discovery Learning-Steps Figure: Steps in guided discovery learning Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 11 Learning / 52
17 Existing Systems Guided Discovery Learning ITS Support for Guided Discovery Architecture and Modules Integration of the System Conclusion Future Work Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 12 Learning / 52
18 ITS Support for Guided Discovery Course Structure Course - C Language Topic - Arrays Subtopic - 1D Arrays Quiz Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 13 Learning / 52
19 ITS Support for Guided Discovery Course Structure Course - C Language Topic - Arrays Subtopic - 1D Arrays Quiz Order of teaching/pre-requisite relation 1 Topic dependency 2 Subtopic dependency Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 13 Learning / 52
20 Quiz Quiz- Multiple choice questions 2 types of questions 1 Guiding questions : Hands-on activities Interactive pop-up window Not used for assessment 2 Testing questions : Used for assessment Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 14 Learning / 52
21 Steps to be followed by instructor 1 Select/create course 2 Create topic 3 Enter Topic Dependency Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 15 Learning / 52
22 Steps to be followed by instructor 1 Select/create course 2 Create topic 3 Enter Topic Dependency Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 15 Learning / 52
23 Steps to be followed by instructor 1 Select/create course 2 Create topic 3 Enter Topic Dependency 4 Create subtopic 5 Enter Subtopic Dependency Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 16 Learning / 52
24 Steps to be followed by instructor 1 Select/create course 2 Create topic 3 Enter Topic Dependency 4 Create subtopic 5 Enter Subtopic Dependency Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 16 Learning / 52
25 Steps to be followed by instructor 1 Select/create course 2 Create topic 3 Enter Topic Dependency 4 Create subtopic 5 Enter Subtopic Dependency 6 Enter questions 7 Enter threshold value Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 17 Learning / 52
26 Steps to be followed by Learner 1 Select course 2 Select topic 3 Select subtopic 4 Use pop-up window 5 Submit answers 6 Reattempt or attempt remaining questions Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 18 Learning / 52
27 Steps followed by ITS 1 Topic dependency check Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 19 Learning / 52
28 Steps followed by ITS 1 Topic dependency check Figure: Topic dependency check Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 19 Learning / 52
29 Steps followed by ITS 1 Topic dependency check 2 Subtopic dependency check Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 20 Learning / 52
30 Steps followed by ITS 1 Topic dependency check 2 Subtopic dependency check Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 20 Learning / 52
31 Steps followed by ITS 1 Topic dependency check 2 Subtopic dependency check 3 Use adaptation logic Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 21 Learning / 52
32 Steps followed by ITS 1 Topic dependency check 2 Subtopic dependency check 3 Use adaptation logic 1)Present guiding question 2)Evaluate 3)Update learner knowledge 4)Repeat steps 1 to 3 until all guiding questions finish 5)if(#correct ans > threshold) reattempt/attempt remaining option else display the testing question 6)Evaluate 7)Update learner knowledge 8)Repeat steps 5 to 7 until all testing questions finish Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 21 Learning / 52
33 Adaptation levels Where is the adaptation applied? Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 22 Learning / 52
34 Adaptation levels Where is the adaptation applied? Strategy Switching for learner Topic level: Topic Dependency Subtopic level: Subtopic Dependency Promoting to next subtopic Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 22 Learning / 52
35 Existing Systems Guided Discovery Learning ITS Support for Guided Discovery Architecture and Modules Integration of the System Conclusion and Future Work Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 23 Learning / 52
36 Directory Structure Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 24 Learning / 52
37 Directory Structure Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 24 Learning / 52
38 Architecture of ITS Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 25 Learning / 52
39 Architecture of ITS Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 25 Learning / 52
40 Architecture of ITS Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 25 Learning / 52
41 Architecture of ITS Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 25 Learning / 52
42 Session Manager Authentication Access Control Php Session Variables Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 26 Learning / 52
43 Domain module Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 27 Learning / 52
44 Domain module Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 27 Learning / 52
45 Topic Module Content creation Topic dependency Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 28 Learning / 52
46 Topic Module Content creation Topic dependency Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 28 Learning / 52
47 Topic Module-Loop Detection Content creation Topic dependency Figure: Topic Dependency Graph Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 29 Learning / 52
48 Topic Module-Loop Detection Content creation Topic dependency Figure: Loop formation Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 30 Learning / 52
49 Topic Module-Loop Detection Modified DFS Algorithm ) All nodes are colored white 2) When a node is visited it is turned into red 3) Move on to descendants using DFS algorithm 4) When a node is visited completely it is turned into green 5) If we ever visit a red node during traversal then we have a cycle Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 31 Learning / 52
50 Topic Module-Loop Detection Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 32 Learning / 52
51 Topic Module-Ensuring Dependency Learner can attempt an independent topic Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 33 Learning / 52
52 Topic Module-Ensuring Dependency Learner can attempt an independent topic Independent topic: If topic is independent of all topics Topic-A is independent of Topic-B iff No edge from Topic-A to Topic-B or All subtopics in topic-b are completed Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 33 Learning / 52
53 Domain module-subtopic Module Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 34 Learning / 52
54 Subtopic Module Content creation Subtopic dependency- Loop detection Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 35 Learning / 52
55 Subtopic Module Content creation Subtopic dependency- Loop detection Learner can attempt an independent subtopic Independent subtopic: If subtopic is independent of all subtopics Subtopic-A is independent of Subtopic-B iff No edge from Subtopic-A to Subtopic-B or Subtopic-B is completed Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 35 Learning / 52
56 Quiz Module Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 36 Learning / 52
57 Quiz Module Content creation Evaluation Update student knowledge Adaptation logic Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 37 Learning / 52
58 Quiz Module Pop-up window for hands-on activities Figure: Pop-up window Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 38 Learning / 52
59 Controller Module Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 39 Learning / 52
60 Controller Module Redirects to corresponding strategy s quiz Uses strategy switching logic for student Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 40 Learning / 52
61 Existing Systems Guided Discovery Learning ITS Support for Guided Discovery Architecture and Modules Integration of the System Conclusion and Future Work Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 41 Learning / 52
62 Integration of the System Common database Developed individual systems Controller module Strategy switching logic Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 42 Learning / 52
63 Integration of the System-Adding new strategy Adding new strategy Implement quiz module Edit controller module Edit strategy switching logic Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 43 Learning / 52
64 Sequence Diagram for student Figure: Sequence Diagram for student Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 44 Learning / 52
65 Challenges Interdisciplinary area Non-existing features Choosing teaching-learning strategy Common database Mapping teaching-learning steps to software system Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 45 Learning / 52
66 Existing Systems Guided Discovery Learning ITS Support for Guided Discovery Architecture and Modules Integration of the System Conclusion and Future Work Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 46 Learning / 52
67 Conclusion Developed ITS framework using guided discovery Integrated 3 strategies Limitations MCQs only No collaborative learning Response time not considered Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 47 Learning / 52
68 Future work Improved strategy switching algorithm Add more strategies Subjective questions- Latent semantic analysis Introducing Artificial Intelligence- SmartTutor Collaborative learning Response time Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 48 Learning / 52
69 Thank You Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 49 Learning / 52
70 Key References Artificial intelligence. Wikipedia. tutoring system. Patrick Chipman, Andrew Olney, and Arthur C. Graesser. In The Autotutor3 Architecture, University of Memphis, USA. Albert T. Corbett, Kenneth R. Koedinger, and John R. Anderson. Handbook of Human-Computer Interaction, chapter 37. USA, Farhad Soleimanian Gharehchopogh and Zeynab Abbasi Khalifelu. Using intelligent tutoring systems in instruc- tion and education. In 2nd International Conference on Education and Management Technology, volume 13, Singapore, Jong Suk Kim. The Effects of a Constructivist Teaching Approach on Student Academic Achievement, Self- concept, and Learning Strategy. Asia Pacific Education Review by Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 50 Learning / 52
71 Key References Brown Ann L. and Campione Joseph C. Classroom lessons: Integrating cognitive theory and classroom practice, chapter 9, pages Cambridge, MIT Press, Tom Lord, Holly Travis, Brandi Magill, and Lori King. Comparing Student-Centered and Teacher-Centered Instruction in College Biology Labs. Indiana University of Pennsylvania,Indiana, Richard E. Mayer. Should There Be a Three-Strikes Rule Against Pure Discovery Learning? California, Santa Barbara. University of Erica Melis and J rg Siekmann. In ActiveMath: An Intelligent Tutoring System for Mathematics, German Research Institute for Artificial Intelligence, Germany. Antonija Mitrovic. An intelligent sql tutor on the web. University of Canterbury,New Zealand, Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 51 Learning / 52
72 Key References Muska Mosston and Sara Ashworth. Teaching Physical Education Tom Murray. Authoring intelligent tutoring systems: An analysis of the state of the art. In International Journal of Artificial Intelligence in Education, Computer Science Dept., University of Massachusetts, National Extension Water Outreach Education. Explanation of Teaching Continuum. L Jean Piaget. To Understand Is To Invent. The Future of Education. Grossman publishers., NEW YORK, Michael J. Prince and Richard M. Felder. Inductive teaching and learning methods:definitions, comparisons and research bases. Catherine J. Rezak. In Improving Corporate Training Results with Discovery Learning Methodology. Raja Shekhar M.Tech-2 (U of X) Development of Intelligent Tutoring System Framework: UsingJune Guided 25, 2012 Discovery 52 Learning / 52
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