Article

Designing CIspace: pedagogy and usability in a learning environment for AI

Authors:

D. PooleAuthors Info & Claims

ITiCSE '05: Proceedings of the 10th annual SIGCSE conference on Innovation and technology in computer science education

Pages 178 - 182

https://doi.org/10.1145/1067445.1067495

Published: 27 June 2005 Publication History

Abstract

This paper describes the design of the CIspace interactive visualization tools for teaching and learning Artificial Intelligence. Our approach to design is to iterate through three phases: identifying pedagogical and usability goals for supporting both educators and students, designing to achieve these goals, and then evaluating our system. We believe identifying these goals is essential in confronting the usability deficiencies and mixed results about the pedagogical effectiveness of interactive visualizations reported in the Education literature. The CIspace tools have been used and positively received in undergraduate and graduate classrooms at the University of British Columbia and internationally. We hope that our experiences can inform other developers of interactive visualizations and encourage their use in classrooms and other learning environments.

References

[1]

AI Education Repository. <http://www.cs.cofc.edu/ manaris/ai-education-repository/>.

[2]

American Association for Artificial Intelligence. AI Topics. <http://www.aaai.org/AITopics/html/welcome.html>.

[3]

Amershi, S., Arksey, N., Carenini, G., Conati, C., Mackworth, A., Maclaren, H. and Poole, D. Fostering Student Learning and Motivation: an interactive educational tool for AI. Tech. Rep. TR-2005-06, University of British Columbia, 2005.

[4]

Atkinson, R.K., Derry, S.J., Renkl, A., and Wortham, D. Learning from Examples: Instructional Principles from the Worked Examples Research. Review of Educational Research 70, 2 (2000), 181-214.

[5]

Bloom, B. S. (ed.) Taxonomy of Educational Objectives; the Classification of Educational Goals, Handbook I: Cognitive Domain. Addison-Wesley, New York, 1956.

[6]

CIspace: Tools for Learning Computational Intelligence. http://www.cs.ubc.ca/labs/lci/CIspace/.

[7]

Demetriadis, S., Triatafillou, E., and Pombortsis, A. A Phenomenographic Study of Students' Attitudes Toward the Use of Multiple Media for Learning. ITiCSE 2003, ACM Press (2003), 183-187.

Digital Library

[8]

Effective Interactive AI Resources Workshop. IJCAI 2001.

[9]

Greiner, R., and Schaeffer, J. The Aixploratorium: A Vision for AI and the Web. IJCAI 2001 Workshop, 3 pages.

[10]

Hundhausen, C.D., Douglas, S.A., and Stasko J.T. A Meta-Study of Algorithm Visualization Effectiveness. Journal of Visual Languages and Computing 13, 3 (2002), 259--290.

Digital Library

[11]

Ingargiola, G. et al. A Repository that Supports Teaching and Cooperation in the Introductory AI Course. SIGCSE Bulletin 24, 3 (1994), 36--40.

Digital Library

[12]

Kehoe, C., Stasko J., and Taylor, A. Rethinking the evaluation of algorithm animations as learning aids: an observational study. Int. J. Human-Computer Studies 54, 2 (2001), 265--284.

Digital Library

[13]

MIT OpenCourseWare, Aritificial Intelligence Tools. <http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-034Artificial-IntelligenceFall2002/Tools/>.

[14]

Naps, T.L., Roßling, G. and Working Group. Evaluating the Educational Impact of Visualization. ITiCSE 2003, ACM Press (2003), 124-136.

Digital Library

[15]

Naps, T.L., Roßling, G. and Working Group. Exploring the Role of Visualization and Engagement in Computer Science Education. ITiCSE 2002, ACM Press (2003), 131-152.

Digital Library

[16]

Poole, D., Mackworth, A, and Goebel, R. Computational Intelligence: A Logical Approach. Oxford University Press, New York, 1998.

Digital Library

[17]

Russell, N. and Norvig, P. Online Demos (Applets) of AI. <http://aima.cs.berkeley.edu/demos.html>.

[18]

Saraiya, P. et al., Shaffer, C.A., McCrickard D.S. and North, C. Effective Features of Algorithm Visualizations. SIGCSE 2004, ACM Press (2004), 382-3.

Digital Library

Cited By

Shreya HKumar T(2024)Artificial Intelligence Tools and Chatbots for Design EducationSmart Trends in Computing and Communications10.1007/978-981-97-1313-4_33(377-395)Online publication date: 2-Jun-2024
https://doi.org/10.1007/978-981-97-1313-4_33
van Delden S(2010)Industrial robotic game playingJournal of Computing Sciences in Colleges10.5555/1629116.162914025:3(134-142)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.5555/1629116.1629140
Amershi SCarenini GConati CMackworth APoole D(2008)Pedagogy and usability in interactive algorithm visualizationsInteracting with Computers10.1016/j.intcom.2007.08.00320:1(64-96)Online publication date: 1-Jan-2008
https://dl.acm.org/doi/10.1016/j.intcom.2007.08.003
Show More Cited By

Index Terms

Designing CIspace: pedagogy and usability in a learning environment for AI
1. Applied computing
  1. Education
    1. Computer-assisted instruction
2. Computing methodologies
  1. Computer graphics
    1. Animation
  2. Modeling and simulation
    1. Simulation types and techniques
      1. Simulation by animation

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Published In

cover image ACM Conferences

ITiCSE '05: Proceedings of the 10th annual SIGCSE conference on Innovation and technology in computer science education

June 2005

440 pages

ISBN:1595930248

DOI:10.1145/1067445

Conference Chairs:
José Cunha
Universidade Nova de Lisboa, Portugal
,
William Fleischman
Villanova University
,
Program Chairs:
Viera K. Proulx
Northeastern University
,
João Lourenço
Universidade Nova de Lisboa, Portugal

ACM SIGCSE Bulletin Volume 37, Issue 3
September 2005
418 pages
ISSN:0097-8418
DOI:10.1145/1151954
Issue’s Table of Contents

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 27 June 2005

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ITiCSE05

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ITiCSE05: Innovation and Technology in Computer Science Education

June 27 - 29, 2005

Caparica, Portugal

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Overall Acceptance Rate 552 of 1,613 submissions, 34%

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Cited By

Shreya HKumar T(2024)Artificial Intelligence Tools and Chatbots for Design EducationSmart Trends in Computing and Communications10.1007/978-981-97-1313-4_33(377-395)Online publication date: 2-Jun-2024
https://doi.org/10.1007/978-981-97-1313-4_33
van Delden S(2010)Industrial robotic game playingJournal of Computing Sciences in Colleges10.5555/1629116.162914025:3(134-142)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.5555/1629116.1629140
Amershi SCarenini GConati CMackworth APoole D(2008)Pedagogy and usability in interactive algorithm visualizationsInteracting with Computers10.1016/j.intcom.2007.08.00320:1(64-96)Online publication date: 1-Jan-2008
https://dl.acm.org/doi/10.1016/j.intcom.2007.08.003
Amershi SConati C(2006)Automatic recognition of learner groups in exploratory learning environmentsProceedings of the 8th international conference on Intelligent Tutoring Systems10.1007/11774303_46(463-472)Online publication date: 26-Jun-2006
https://dl.acm.org/doi/10.1007/11774303_46
Draskovic DCvetanovic MNikolic B(2018)SAIL—Software system for learning AI algorithmsComputer Applications in Engineering Education10.1002/cae.2198826:5(1195-1216)Online publication date: 28-Jun-2018
https://doi.org/10.1002/cae.21988

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