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Chef de cuisine: Prof. Mária Bieliková Smolenice, Slovakia April 18, 2010 Jozef Tvarožek Cooking a Intelligent Tutoring Platform.

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Presentation on theme: "Chef de cuisine: Prof. Mária Bieliková Smolenice, Slovakia April 18, 2010 Jozef Tvarožek Cooking a Intelligent Tutoring Platform."— Presentation transcript:

1 Chef de cuisine: Prof. Mária Bieliková Smolenice, Slovakia April 18, 2010 Jozef Tvarožek Cooking a Intelligent Tutoring Platform

2 Intelligent tutoring Tools for learning Direct instruction Cognitive tutors – Surpass human tutors Why would students want to take part? They dont! – Gaming the system… Affective support / Narrative-centered Peoplia: Cooking a Socially Intelligent Tutoring Platform2

3 An ideal teacher? Student thinks: – I want to know, fast!! What she really wants: – I am bored, please motivate me!!! And do it fast, of course… – Learn me the morals along the way… Peoplia: Cooking a Socially Intelligent Tutoring Platform3

4 SOCIALLY Intelligent Tutoring – Perfect Dish Learning: Problem solving, Course notes Modes: Individual, Social (Collaborative) It does what I WANT !!!! How does the system know? – It doesnt… We need a REAL person for that !!! Socially Intelligent Tutoring agent – Tutoring FRIEND Peoplia: Cooking a Socially Intelligent Tutoring Platform4 NEED

5 Learning opportunities in Peoplia Peoplia: Cooking a Socially Intelligent Tutoring Platform5

6 Learning (1) – Course notes Peoplia: Cooking a Socially Intelligent Tutoring Platform6

7 Learning (2) – Problem solving Peoplia: Cooking a Socially Intelligent Tutoring Platform7

8 Tasks for assessment and practice Experts idea Task scheme Task instance Answer Answer category Ability estimate Adaptive selection Generator StudentJudge Estimation 8Peoplia: Cooking a Socially Intelligent Tutoring Platform

9 Task schemes and instances Experts idea Task scheme Task instance Answer Answer category Ability estimate Adaptive selection Generator StudentJudge Estimation 9Peoplia: Cooking a Socially Intelligent Tutoring Platform

10 Task scheme specification A B C A - C A - B Solution tree B - C Tasks scheme tree Parameters, constraints, tree of subtasks and answers Psychometric IRT parameters, usage indicators Task scheme: correct incorrect 10Peoplia: Cooking a Socially Intelligent Tutoring Platform

11 Subtask descriptions RichContent : XHTML, MathML, SVG fragments collects pictures of ice-hockey players. | Peter collects pictures of Canadian ice-hockey players. Maria collects pictures of Slovak ice-hockey players. genitive-plural, adjective-masculine 11Peoplia: Cooking a Socially Intelligent Tutoring Platform

12 Task instance Parameters specification Instantiated parameters Scheme tree Instance tree Pruned backtracking Combine Instance generation 12Peoplia: Cooking a Socially Intelligent Tutoring Platform

13 Modeling social context Semantic memory – Ontologies of interests and identities – DMOZ, Wikipedia Episodic memory – Scaling-events timeline Peoplia: Cooking a Socially Intelligent Tutoring Platform13

14 Scaling-events timeline Encodes: – One time and regular events, users future plans and goals – Adaptive level of abstraction Facilitates planning, social dialogues Time Scale school get uptravel to school travel homeclasses walk to bustravel by buswalk to school 14Peoplia: Cooking a Socially Intelligent Tutoring Platform

15 Scaling by knowledge Events are unwrapped by knowledge rules – Appropriate level of detail Rules = types of events – Tiny algorithms (reasoning by default) – Driven by user model Application of rules = instances of events … Scale 15Peoplia: Cooking a Socially Intelligent Tutoring Platform

16 Updating users profile Off-task dialogues – Qs/As scripted to perform actions Extracting users preferences & behaviors Extracting event attributes Recommending events to attend Negotiating events with others – Relationship maintenance Dialogue manager – Users utterances are mapped to signatures and compared with stored sentences – Topical continuity with previous threads 16Peoplia: Cooking a Socially Intelligent Tutoring Platform

17 Extracting interests Peoplia: Cooking a Socially Intelligent Tutoring Platform17 Tutor: now, look around and solve exercises, ok? see you around! Student ack / Turn initiative Tutor: interesting, I for example like to read books, swim, play volleyball and soccer 40 chars < 40 chars Extract features (e.g. to draw, watch TV, friends) Tutor: Hello Kate, how are you? I'm here to make you feel comfortable, so that you learn much... :-) Tutor: ok, write me about yourself, what you like, and all... I can then prepare exercises that you will like... ;) Student greeting Tutor: tell me more, pls.

18 Sample conversation Peoplia: Cooking a Socially Intelligent Tutoring Platform18 Joe:Hello Kate, how are you? Im here to make you feel comfortable, so that you learn much… : -) Kate:thnx Joe:ok, write me about yourself, what you like, and all… I can then prepare some exercises that you will definitely like : P Kate:like to draw sleep watch TV … Joe:write a bit more please … Kate:like to go out go out with my dog Joe:interesting, I for example like to read books, from sports volleyball, swimming, and also some soccer Kate:okay Joe:now, look around this environment and solve some of the exercises, ok? see you around!

19 Real-life adaptation of tasks Parameters specification Instantiated parameters Scheme tree Instance tree Pruned backtracking Combine Instance generation, guided by students hobbies 19Peoplia: Cooking a Socially Intelligent Tutoring Platform Semantic similarity with students favorite concepts

20 Evaluation study Middle school mathematics 18 parametric algebra tasks Tutoring friend – Extract hobbies Students did participate in a pilot previously – Familiar with the environment Peoplia: Cooking a Socially Intelligent Tutoring Platform20

21 Is it better than paper&pencil? 32 students – Control group = traditional classroom – Experimental group = Peoplia – Learning gain: 1.2% vs 10.3% Peoplia: Cooking a Socially Intelligent Tutoring Platform21 pre-testpost-testGaint-test meanst.devmeanst.devmeanst.devt statp-value Control group0.6970.2300.7090.2110.0120.258-0.180.428 Exp. group0.4340.2530.5380.2690.1030.172-2.400.015

22 Are they willing to do it? 16 students Detect student interests in the initial welcome dialogue: to draw, sleep, watch TV, go out, go out with dog Mean word count 11.6 (st.dev 8.7) Mean feature count 1.56 (st.dev 1.7) 44% IGNORED the tutor – Others: mfc 2.78 (st.dev 1.39) Peoplia: Cooking a Socially Intelligent Tutoring Platform22

23 Motivating students? Peoplia: Cooking a Socially Intelligent Tutoring Platform23 Those that did engage with the tutor – Less problems attempted, higher success rate. ControlExperimental meanst.devMeanst.dev Number of tasks attempted7.713.867.001.80 Number of tasks solved correctly2.851.464.002.45 Questions (response scale: 1=worst, 5=best) 1. How much did you learn in Peoplia?2.291.253.330.71 2. How much did Peoplia help you on the post-test? 2.291.113.331.12 3. How much would you like to use Peoplia again? 3.141.074.331.12 4. How did you like Peoplia?2.861.074.220.97

24 Motivating students? (contd.) Peoplia: Cooking a Socially Intelligent Tutoring Platform24 Is the tutoring friend any good? – We dont know. – Learning gain: 3.7% vs. 12.3% – We can filter students that are engaged, and do well. pre-testpost-testGaint-test meanst.devmeanst.devmeanst.devt statp-value Control group0.4290.2450.4650.2830.0370.283-1.680.071 Exp. group0.4390.2730.5620.2840.1230.192-1.920.045

25 Summing up – wheres the platform? We not only teach you, we engage you! Artificial tutoring friend: – gets to know you better, – guides you to what you need… Tutoring platform: – Bootstrapping tutoring agents from WOZ data Create your own tutor! Peoplia: Cooking a Socially Intelligent Tutoring Platform25 Revolutionize by cloud computing?... How?!

26 Chef de cuisine: Prof. Mária Bieliková Smolenice, Slovakia April 18, 2010 Jozef Tvarožek Cooking a Intelligent Tutoring Platform www.peoplia.sk


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