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| Baker, Eva L. | 6 |
| Alkin, Marvin C. | 1 |
| Butler, Frances A. | 1 |
| Herman, Joan L. | 1 |
| Linn, Robert L. | 1 |
| O'Neil, Harold F., Jr. | 1 |
| Schacter, John | 1 |
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Download full textBaker, Eva L.; Butler, Frances A. – 1991
This report summarizes the work conducted for the Artificial Intelligence Measurement System (AIMS) Project which was undertaken as an exploration of methodology to consider how the effects of artificial intelligence systems could be compared to human performance. The research covered four areas of inquiry: (1) natural language processing and…
Descriptors: Artificial Intelligence, Cognitive Processes, Comparative Testing, Evaluation Methods
PDF pending restorationBaker, Eva L.; Alkin, Marvin C. – 1984
This chapter discusses current methods of formative evaluation and suggests that these methods themselves need to be subjected to more critical research and evaluation in order to provide them with a more scientific base. Topics addressed include problems and methods associated with data gathering, evaluation designs, number of subjects available,…
Descriptors: Data Collection, Evaluation Methods, Evaluation Problems, Evaluation Utilization
Herman, Joan L.; Baker, Eva L.; Linn, Robert L. – Center for Research on Evaluation Standards and Student Testing CRESST, 2004
This focus of this newsletter asserts that if one accepts that accountability systems are intended to serve both symbolic and technical functions, one can ask how well they are operating symbolically to motivate action and how well they are doing in providing adequate technical information to support intended inferences. In this column, it is…
Descriptors: Educational Improvement, Performance Based Assessment, Evaluation Methods, Student Evaluation
O'Neil, Harold F., Jr.; Baker, Eva L. – 1987
Among opportunities to advance the state of the art of intelligent computer-assisted instruction (ICAI) are the evaluation of ICAI systems and the use of the underlying technology in ICAI systems to develop tests. Each issue is addressed via its theoretical context, key constructs, appropriate references to the literature, methodological aspects,…
Descriptors: Academic Achievement, Artificial Intelligence, Computer Assisted Instruction, Computer Software
Peer reviewedBaker, Eva L.; Schacter, John – Gifted Child Quarterly, 1996
This discussion of the use of expert performance as the basis for inferring assessment scoring criteria in evaluating student performance considers characteristics of experts and difficulties in use of adult expertise to evaluate student performance. The use of gifted students' performances as benchmarks is suggested as possibly providing…
Descriptors: Academic Achievement, Academic Standards, Alternative Assessment, Benchmarking
Direct linkBaker, Eva L. – Yearbook of the National Society for the Study of Education, 2005
Over the last 20 years, writing about technology (and more recently about its use in assessment systems) has been a joyful experience, in part because the author was usually right about how fast and how unexpected technology progress would be made. In this article, the author suggests to rethink assessment systems from design perspectives and the…
Descriptors: Student Evaluation, Educational Assessment, Computer Assisted Testing, Educational Technology
