This paper presents a framework for the treatment of ethical and social issues in science and engineering curricula. This framework is based on the basic foundations of applied engineering ethics, adaptation of the structure of the meta-discipline of social informations, and a developmental variant of the service-learning pedagogy based on Perry's cognitive-structural model for intellectual development. The paper shows how the framework can be implemented across a curriculum and in an issue-specific manner.

Article Free Access Share on Toward an HCI research and practice agenda based on human needs and social responsibility Authors: Michael J. Muller US WEST Advanced Technologies, 4001 Discovery Drive, Boulder, CO US WEST Advanced Technologies, 4001 Discovery Drive, Boulder, COView Profile , Cathleen Wharton US WEST Advanced Technologies, 4001 Discovery Drive, Boulder, CO US WEST Advanced Technologies, 4001 Discovery Drive, Boulder, COView Profile , William J. McIver US WEST Advanced Technologies, 4001 Discovery Drive, Boulder, CO US WEST Advanced Technologies, 4001 Discovery Drive, Boulder, COView Profile , Lila Laux US WEST Communications, 1801 California Street, Denver, CO US WEST Communications, 1801 California Street, Denver, COView Profile Authors Info & Claims CHI '97: Proceedings of the ACM SIGCHI Conference on Human factors in computing systemsMarch 1997 Pages 155–161https://doi.org/10.1145/258549.258640Published:27 March 1997Publication History 25citation943DownloadsMetricsTotal Citations25Total Downloads943Last 12 Months57Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

A likely trend in the development of future CAD, CASE and office information systems will be the use of object-oriented database systems to manage their internal data stores. The entities that these applications will retrieve, such as electronic parts and their connections or customer service records, are typically large complex objects composed of many interconnected heterogeneous objects, not thousands of tuples. These applications may exhibit widely shifting usage patterns due to their interactive mode of operation. Such a class of applications would demand clustering methods that are appropriate for clustering large complex objects and that can adapt on-line to the shifting usage patterns. While most object-oriented clustering methods allow grouping of heterogeneous objects, they are usually static and can only be changed off-line. We present one possible architecture for performing complex object reclustering in an on-line manner that is adaptive to changing usage patterns. Our architecture involves the decomposition of a clustering method into concurrently operating components that each handle one of the fundamental tasks involved in reclustering, namely statistics collection, cluster analysis, and reorganization. We present the results of an experiment performed to evaluate its behavior. These results show that the average miss rate for object accesses can be effectively reduced using a combination of rules that we have developed for deciding when cluster analyses and reorganizations should be performed.