1 / 14

Intelligent Software Tutors in the Virtual Cell Game

Phillip E. McClean Brian M. Slator Alan R. White North Dakota State University, Fargo. Intelligent Software Tutors in the Virtual Cell Game. Overview. Outcomes of the VCell Overview of the Virtual Cell (VCell) Intelligent Software Tutors in the VCell Demo of the VCell Questions.

tuan
Download Presentation

Intelligent Software Tutors in the Virtual Cell Game

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Phillip E. McClean Brian M. Slator Alan R. White North Dakota State University, Fargo Intelligent Software Tutors in the Virtual Cell Game

  2. Overview • Outcomes of the VCell • Overview of the Virtual Cell (VCell) • Intelligent Software Tutors in the VCell • Demo of the VCell • Questions

  3. Outcomes: Cell Biology Content Learning-by-Doing Problem Solving Hypothesis Formation Deductive Reasoning Mature Thinking

  4. You are a Biologist who can “fly around” inside the cell.

  5. Biologists also perform experiments to draw conclusions.

  6. You are assigned goals which range from “identify the nucleus” early to “synthesize ATP” later.

  7. Users set up experiments in the Cell to accomplish their assigned goals

  8. User movements and actions are tracked by MOO software

  9. VCell Tutoring Agents • Provide guidance without deterring student’s ability to independently draw conclusions • Deductive Reasoning: The tutor collects player actions and produces a conclusion dependent upon the collection.

  10. VCell Tutoring Agents • Displays remediation to encourage student thinking and utilize resources in the VCell game • Repetitive student actions reesult in more detailed remediations

  11. VCell Tutor: Multiple Agents • Goal-Specific Agents: • Handles independent tasks • Receive player information (actions) • Tutor Controller • Distribute information to goal-specific tutoring agents

  12. Goal-Specific Agents • Store information in a collection of student actions • Collections distinguished by the tutor into categories • The categories also classifies the response issued by the tutor • Response used to select remediation

  13. Category Examples • type I - correct choice, did experiment, • type II - incorrect choice, did experiment , • type III - did not do experiment, correct choice • type IV - did not do experiment, incorrect choice

  14. VCell Demo http://vcell.ndsu.nodak.edu/

More Related