9b0da4f40f2e5c3afa5f90ea544fca5a.ppt
- Количество слайдов: 26
Le. Active. Math Language-enhanced, user-adaptive, interactive e. Learning for Mathematics Erica Melis Competence Center for Technology-Enhanced Learning German Research Center for Artificial Intelligence (DFKI) and University of Saarland Source: Erica Melis
The Partners and Disciplines Helen Pain Source: Erica Melis
Technology-Oriented but Aware of …Contexts • • • Adaptivity and personalisation, pedagogical scenarios Tutorial dialogues and other language facilities Motivational and emotional diagnosis and reaction (autonomy & approval) Open student modeling Learning-effective tools • Reusable tools • Semantic Web application • semantic representation and reuse • Web services/distributed architecture • Open repository of interactive exercises • … • Classroom evaluation, work with schools Source: Erica Melis
Some Research Questions Moderate constructivist view • • • How to design feedback and tutorial dialogues for – discovery of mistakes – deep reasoning – self-explanation, reflection How to evaluate student input (equivalence? …) Other support of meta-cognition How to diagnose and react to motivation and emotions – approval, autonomy, anxiety How open should learner model be How to learn from errors What is useful adaptivity and how to generate adaptively How to reuse material How to operationalize competencies Which useful tools and how to employ them Interoperability of tools Source: Erica Melis
Active. Math 2004 http: //www. activemath. org - personalized/adapted content - variety of types of exercises - feedback and prototypical learning suggestions - OMDoc (XML)-representation -Internationalized system -… Source: Erica Melis
Active. Math in Action Source: Erica Melis
Adapts to Learning Goals Source: Erica Melis Le. AM: competencies
… and Scenarios: English Source: Erica Melis
and Scenarios: Chinese Source: Erica Melis
and Scenarios: Russian Source: Erica Melis
Scenario: Detailed Source: Erica Melis
Scenario: Overview Le. AM: More pedagogically validated scenarios replanning, editable Source: Erica Melis
Adaptivity: Field Le. AM: more adaptivity and flavours Mathematics Biology Engineering Source: Erica Melis
Learner Model Source: Erica Melis Le. AM: extended learner model… what should be open?
Feedback Various tutorial strategies • Orienting feedback (modulo equivalence) • Effort by student • … • Knowledge of correct result Source: Erica Melis
Tutorial Dialogue Source: Erica Melis
Interactive Concept Map Tool Source: Erica Melis
Exercises with CAS Maple Source: Erica Melis Le. AM: services based on Open. Math
Conclusion • Collaboration of pedagogy, cognition, computer science, users • Improve learning and motivation by technology – Intelligent tutoring – Adaptive hypermedia – User modeling – Computational linguistics – Web technology – Language technology – Automated reasoning – Machine learning – Computer algebra systems Source: Erica Melis
Personalization, Motivation , Dialogues - Jan. 2004 – Dec. 2006 - best rating in first FP 6 call Source: Erica Melis DFKI Eurice Gmb. H University Edinburgh University Northumbria TU Eindhoven Universidad Malaga Universität Augsburg Ernst Klett Verlag Universität des Saarlandes
Feedback Le. AM: more tutorial strategies, tutorial dialogues • Local and global feedback • State correctness/incorrectnes THEN give away correct solution • Check for final solution and return correctness • Feedback on every step vs. on evaluation request Source: Erica Melis
Knowledge Representation in Active. Math – OMDoc XML-language: • structures • semantics (Open. Math, Math. ML) – ontology for Mathematics – Active. Math extensions by • didactical metadata • several relations • several verbosities (book, slide, summary) – educational ontology Source: Erica Melis
Metadata… Two Ontologies • Relations – xxx-for, – depends-on – prerequisite – similar-to – counterexample • Exercises and examples – difficulty – field – – abstractness type learning activity learning context Source: Erica Melis • Dublin Core
Instructional items in OMDoc
xml html Web. Server Session Manager Architecture of Active. Math XSLT request Course generator MBase Pedagogical rules User model profile Source: Erica Melis Math CAS systems evaluator history http browser
Pedagogical Rules IF field(user) = ? F THEN add. Ex(? C, field)=? F IF learn. Goal=appl AND uk(? C low) THEN add. Ex(? C, diff)=(1, 1, 2, 3) IF learn. Goal=appl AND NOT uk(? C low) THEN add. Ex(? C, diff)=(3) IF scenario(overview) THEN pattern=(concept, exm, ex) IF scenario(detail) pattern=(motiv, intro, THEN concept, exm, exc) Source: Erica Melis


