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Introduction Analysis Conclusions Expressing Computer Science Concepts Through Kodu Game Lab Kathryn T. Stolee Teale Fristoe March 10, 2011 Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 1 / 26 Introduction


  1. Introduction Analysis Conclusions Expressing Computer Science Concepts Through Kodu Game Lab Kathryn T. Stolee Teale Fristoe March 10, 2011 Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 1 / 26

  2. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Challenge Learning to program is hard Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 2 / 26

  3. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Challenge Learning to program is hard Teaching programming is hard, too Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 2 / 26

  4. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Motivation Educational Programming Languages: Useful to introduce novices to programming Commonly used in a classroom setting Used to create video games, simulations, animations, art ... Focus is on ease-of-use and attractiveness Many examples: Alice, Greenfoot, Scratch ... Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 3 / 26

  5. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions About Kodu A video game for creating 3d Kodu Game Lab video games Designed to compete with modern console games Available on Xbox or PC Uses an Xbox controller as the interface for playing and programming 110,000+ installs in 150+ countries Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 4 / 26

  6. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions How Kodu is Different Integrates common gaming Kodu World concepts (e.g., scoring, camera positioning, termination conditions) Programming model does not resemble syntax and abstraction level of mainstream languages Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 5 / 26

  7. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions How Kodu is Different Integrates common gaming Kodu World concepts (e.g., scoring, camera positioning, termination conditions) Programming model does not resemble syntax and abstraction level of mainstream languages Little is known about how skills learned in Kodu may transfer to more traditional languages Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 5 / 26

  8. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Interacting with Kodu Play Mode Play the game Test or simulate programming logic Edit Mode Modify terrain and objects Program characters Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 6 / 26

  9. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Interacting with Kodu Play Mode Play the game Kodu World Test or simulate programming logic Edit Mode Modify terrain and objects Program characters Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 6 / 26

  10. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Interacting with Kodu Play Mode Kodu Tree Play the game Test or simulate programming logic Edit Mode Turtle Apple Modify terrain and objects Program characters Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 7 / 26

  11. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Programming: Kodu Language Language is a high-level, visual, and event-driven Statements take the form of ’When – Do’ clauses Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 8 / 26

  12. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Programming: Kodu Language Language is a high-level, visual, and event-driven Statements take the form of ’When – Do’ clauses Rule Condition Action → Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 8 / 26

  13. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Programming: Kodu Language Language is a high-level, visual, and event-driven Statements take the form of ’When – Do’ clauses Rule Condition Action → Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 8 / 26

  14. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Programming: Kodu Language Language is a high-level, visual, and event-driven Statements take the form of ’When – Do’ clauses Rule Condition Action → Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 8 / 26

  15. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Programming: Kodu Language Language is a high-level, visual, and event-driven Statements take the form of ’When – Do’ clauses Rule Condition Action → Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 8 / 26

  16. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Programming: User Perspective Programming involves visual composition of tiles Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 9 / 26

  17. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Programming: Rule Prioritization Conflicting Rules Rules are ordered and organized into pages Conflicting rules resolve action using order Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 10 / 26

  18. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Programming: Page Usage Characters can have up to 12 pages of programming Switching pages changes character behavior (e.g., a power-up) Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 11 / 26

  19. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Big Question Big Question Can traditional computer science concepts (e.g., boolean logic, objects, variables, iteration, control flow) be expressed in Kodu? Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 12 / 26

  20. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Research Questions RQ1: Which computer science concepts can be expressed through the Kodu Language? RQ2: How often does each computer science concept appear in the programs created by the Kodu community? Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 13 / 26

  21. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Research Questions RQ1: Which computer science concepts can be expressed through the Kodu Language? Kodu Language Analysis RQ2: How often does each computer science concept appear in the programs created by the Kodu community? Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 13 / 26

  22. Introduction Motivation Analysis Kodu Programming Conclusions Research Questions Research Questions RQ1: Which computer science concepts can be expressed through the Kodu Language? Kodu Language Analysis RQ2: How often does each computer science concept appear in the programs created by the Kodu community? Analysis of ∼ 350 Kodu Programs Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 13 / 26

  23. Language Analysis Introduction Boolean Logic Analysis Control Flow Conclusions Analysis of Programs CS Concepts in Kodu Obviously Supported: Objects: Encapsulation, Creation, Deletion Control Structures: if – then, iteration Variables: Global, Local, Random Boolean Logic: Negation Subtly Supported: Objects: Cloning (class system) Boolean Logic: Conjunction, Disjunction Control Flow: Cycles, Fan-in, Fan-out Yet to be Investigated: Function calls . . . Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 14 / 26

  24. Language Analysis Introduction Boolean Logic Analysis Control Flow Conclusions Analysis of Programs CS Concepts in Kodu Obviously Supported: Objects: Encapsulation, Creation, Deletion Control Structures: if – then, iteration Variables: Global, Local, Random Boolean Logic: Negation Subtly Supported: Objects: Cloning (class system) Boolean Logic: Conjunction, Disjunction Control Flow: Cycles, Fan-in, Fan-out Yet to be Investigated: Function calls . . . Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 14 / 26

  25. Language Analysis Introduction Boolean Logic Analysis Control Flow Conclusions Analysis of Programs Boolean Logic: Negation not A Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 15 / 26

  26. Language Analysis Introduction Boolean Logic Analysis Control Flow Conclusions Analysis of Programs Boolean Logic: Negation 1 when A do B not A 2 when not A do C Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 15 / 26

  27. Language Analysis Introduction Boolean Logic Analysis Control Flow Conclusions Analysis of Programs Boolean Logic: Negation 1 when A do B not A 2 when not A do C Kathryn T. Stolee, Teale Fristoe Computer Science Concepts in Kodu Game Lab 15 / 26

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