CT & TuTalk: CT Percent Tutor + Metacognitive TuTalk Prompts Dr. Baba Kofi Weusijana e-mail: [email protected]@u.washington.edu Yvette Aqui e-mail:

CT & TuTalk:CT Percent Tutor + Metacognitive TuTalk Prompts

Dr. Baba Kofi Weusijanae-mail: [email protected]

Yvette Aquie-mail: [email protected]

PSLC Summer School Project 2007

Copyright Dr. B. K. Weusijana & Yvette Aqui, 2007

Learning Environment Context

Primary school aged students learning at home, in library, or after-school lab

Learning Objectives Learning fractions, percentages, and

ratios Translating word problem into an

equation

ITS Roles

CT Model Tracing

Facilitates problem steps Detect a suboptimal & two buggy paths

TuTalk Metacognitive prompts

Encourages self-monitoring & goal settings

Facilitates analogous solution strategies

Demo – CTAT: Start State

Demo – CTAT Middle of Optimal Path

Demo – CTAT Completed Optimal Path

Demo – CTAT Suboptimal Path

Demo – CTAT Incorrect Path 1:Percent Conversion Incorrect 1

Demo – CTAT Incorrect Path 1:Percent Conversion Incorrect 2

Demo – CTAT Incorrect Path 1:% Conversion Unpredicted Incorrect

Demo – TuTalk Script 1 , Example 1

Demo – TuTalk Script 2 , Example 1

Demo – TuTalk Script 2, Example 2

Tutor Development Challenges

CTAT Installation & configuration scripting

needed TuTalk

GUI usability improvements Novice terminology & metaphors Widget feedback Direct access to common features Indirect access to advanced features &

administrative functions

Future Research Questions & Work CT

Expand to ratio & fraction problems Production rule development SimStudent pilot testing

TuTalk Fine-grained studies of robust learning

of reflection through different metacognitive dialogues

What strategies are domain dependent? How much can scripts and goals be reused?