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Artificial Intelligence and the Future of Testing

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Ai Program
algebra
Algebra Tutor
analogical
analogical learning theory
Analogical Problem Solving
automated student response analysis
Base Domain
Buggy Rules
Category=CFDC
Category=JMA
Category=JMC
Category=JMR
Cd Derive
Computer Vision
computer vision assessment
Computer Vision System
Conceptual Message
Decision Cycle
eq_bestseller
eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
ETS
flags
graph comprehension research
Graph Reader
Graph Schema
Integer Arithmetic
Intelligent CAI
machine
Machine Translation
memory retrieval models
message
Message Flags
natural language processing education
Natural Language Programs
Natural Language Systems
problem-space architecture
Progressive Deepening
reasoning
solutions
student
Ta Te
Target Domain
Text Inferences
translation
tutor
Visual Description
Visual Predicates

Product details

  • ISBN 9781138987562
  • Weight: 453g
  • Dimensions: 152 x 229mm
  • Publication Date: 06 Sep 2016
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

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.