Abstract/Details

Characterizing and optimizing the performance of younger and older adults in paired associate tasks: A Markov modeling approach


1999 1999

Other formats: Order a copy

Abstract (summary)

Developing a theory of learning and a strategy for training paired associates (i.e., associations between stimuli and responses) is important since proficiency in many real-world tasks critically depends on memorizing paired associates. In the first part of this dissertation, I propose a theory for the learning of paired associates that can be mathematically expressed by a Markov model. In a first experiment, this Markov model is found to account nicely for paired associate data of younger and older adults. It is also formally shown that this proposed Markov model is the minimally complex Markov model that can account for critical findings in the paired associate learning literature. In the second part of this dissertation, I investigate if the performance of younger and older adults in paired associate tasks is affected In the same way when different training strategies are employed and I propose a strategy for training paired associates. Specifically, in a second experiment, the performance of younger and older adults is found to be affected in the same way when the training strategy is varied. Then, an optimal training strategy according to the proposed Markov learning model is developed. This strategy is tested in a third experiment and is found to lead to significant improvements over standard practices of training paired associates.

Indexing (details)


Subject
Industrial engineering;
Cognitive therapy;
Operations research;
Developmental psychology
Classification
0546: Industrial engineering
0633: Cognitive therapy
0796: Operations research
0620: Developmental psychology
Identifier / keyword
Psychology, Applied sciences, Markov, Paired associate tasks, Performance
Title
Characterizing and optimizing the performance of younger and older adults in paired associate tasks: A Markov modeling approach
Author
Katsikopoulos, Konstantinos V.
Number of pages
150
Publication year
1999
Degree date
1999
School code
0118
Source
DAI-B 60/02, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
0599199466, 9780599199460
Advisor
Fisher, Donald L.
University/institution
University of Massachusetts Amherst
University location
United States -- Massachusetts
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
9920616
ProQuest document ID
304514397
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304514397
Access the complete full text

You can get the full text of this document if it is part of your institution's ProQuest subscription.

Try one of the following:

  • Connect to ProQuest through your library network and search for the document from there.
  • Request the document from your library.
  • Go to the ProQuest login page and enter a ProQuest or My Research username / password.