Artificial Intelligence and the Future of Testing

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Roy O. Freedle
Psychology Press, 1990 - Psychology - 329 pages
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This volume consists of a series of essays written by experts, most of whom participated in a conference conducted by the Educational Testing Service to explore how current fields of artificial intelligence might contribute to ETS's plans to automate one or more of its testing activities.

The papers presented in Artificial Intelligence and the Future of Testing touch on a variety of topics including mathematics tutors, graph comprehension and computer vision, student reasoning and human accessing, modeling software design within a general problem-space architecture, memory organization and retrieval, and natural language systems. Also included: speculation on possible uses each AI specialty might have for a wide number of testing activities, and selective critical commentaries by two eminent AI researchers.

As Roy Freedle notes in his introduction, "We are at an exciting juncture in applying AI to testing activities." The essays presented in this collection convey some of that excitement, and represent an important step toward the merging of AI and testing -- a powerful combination that has the potential to instruct and inspire.
 

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Contents

Artificial Intelligence and Its Implications
1
The Teachers Apprentice Project Building
53
Selected Applications
73
A Sketch
127
Issues for a Theory of Analogical Learning
137
Modeling Software Design Within a ProblemSpace
213
An Artificial
239
Two Hurdles for Natural Language Systems
257
Invited Critique
279
Communicative Functions in Interactions in Natural
287
Towards the Future of Testing at
293
Author Index
321
Subject Index
327
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