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Introducing PETE: computer support for teaching ethics
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Source International Conference on Artificial Intelligence and Law archive
Proceedings of the 8th international conference on Artificial intelligence and law table of contents
St. Louis, Missouri, United States
Pages: 94 - 98  
Year of Publication: 2001
ISBN:1-58113-368-5
Authors
Ilya M. Goldin  Intelligent Systems Program, LRDC 508, University of Pittsburgh
Kevin D. Ashley  Intelligent Systems Program, LRDC 519, University of Pittsburgh
Rosa L. Pinkus  Center for Bioethics and Health Law, Medical Arts Building 300, University of Pittsburgh
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper, we discuss the challenges in providing computer support for teaching professional ethics using a case-based approach. We describe our tutoring software, PETE, which helps students prepare cases for class discussion. PETE enables students to practice methods of moral reasoning. It also encourages them to compare their work to a range of other peer responses. We discuss how the program could incorporate AI techniques and how to evaluate its effectiveness.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Andersen, D., Cavalier, R., Covey, P. A Right to Die? The Dax Cowart Case. Routledge, 1996.
 
2
Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995). Cognitive tutors: Lessons learned. The Journal of the Learning Sciences, 4 (2), 167-207.
 
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Ethical Judgments in Professional Life. http://www.andrew.cmu.edu/course/80-241/. login: guest, password: guest.
 
5
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6
Foltz, P., Laham, D., Landauer, T. Automated essay scoring: applications to educational technology. 1999. In Proceedings of EdMedia '99.
 
7
Graesser, A., Wiemer-Hastings, P., Wiemer-Hastings, K., Harter, D., Person, N., & the Tutoring Research Group. (2000). Using Latent Semantic Analysis to evaluate the contributions of students in AutoTutor. Interactive Learning Environments, 8(2), 129-147.
 
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Harris, Jr., C.E., Pritchard, M.S., and Rabins, M.J. Engineering ethics: concepts and cases. 2nd ed. Wadsworth, 2000.
 
10
Landauer, T. K., Foltz, P. W., & Laham, D. (1998). Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259-284.
 
11
Jonsen, Albert R., "Of Balloons and Bicycles, or, the Relationship Between Ethical Theory and Practical Judgment," Hastings Center Report, September-October 1991, pp. 14-16.
 
12
Online Ethics Center for Engineering and Science. http://onlineethics.org/.
 
13
Pinkus, R., Ashley, K., Chi, M., Moore, J. 1997. Modeling Learning to Reason with Cases in Engineering Ethics: A Test Domain for Intelligent Assistance. NSF Proposal # #9720341. Project Statement.
 
14
Pinkus, R. Chi, M., McQuaide, J., Ashley, K., Pollack, M. Some Preliminary Thoughts On Reasoning with Cases: A Cognitive Science Approach. Presentation to Association for Moral Education Conference, 1999.
 
15
Strong, C. 1988. Justification in Ethics. In Baruch A. Brody, ed., Moral Theory and Moral Judgments in Medical Ethics. pp. 193-211. Kluwer: Dordrecht, The Netherlands.


Collaborative Colleagues:
Ilya M. Goldin: colleagues
Kevin D. Ashley: colleagues
Rosa L. Pinkus: colleagues