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Viser: Artificial Intelligence and the Future of Testing
Artificial Intelligence and the Future of Testing Vital Source e-bog
Roy Freedle
(2014)
Artificial Intelligence and the Future of Testing
Roy Freedle
(2016)
Sprog: Engelsk
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages): 344 sider
- Udgiver: Taylor & Francis (Februar 2014)
- ISBN: 9781317785743
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Detaljer om varen
- Paperback: 344 sider
- Udgiver: Taylor & Francis Group (September 2016)
- ISBN: 9781138987562
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.
Part I: Assessment of Quantitative Skills. T. Ager, From Interactive Instruction to Interactive Testing. R. Milson, M. Lewis, J.R. Anderson, The Teacher's Apprentice Project: Building an Algebra Tutor.
Part II: Graphs and Computer Vision: Selected Applications. S. Pinker, A Theory of Graph Comprehension. L. Kitchen, A Sketch of Accomplishments in Computer Vision with Speculations on Its Use in Educational Testing
Part III: Learning, Memory, Reasoning and Language Issues. M. Burstein, B. Adelson, Issues for a Theory of Analogical Learning. B. Ross, The Access and Use of Relevant Information: A Specific Case and General Issues. B. Adelson, Modeling Software Design Within a Problem-Space Architecture. L. Rau, Memory Organization and Retrieval. P. Jacobs, Two Hurdles for Natural Language Systems.
Part IV: Invited Critique. S. Amarel. A. Joshi.
Part V: Toward the Future of Testing at ETS. R. Bennett, B. Gong, R. Kershaw, D. Rock, E. Soloway, A. Macalalad, Assessment of an Expert System's Ability to Automatically Grade and Diagnose Student's Constructed Responses to Computer Science Problems.