Six home-schooled students and one adult participant each initially practiced to accuracy two decks of five previously unknown multiplication facts. The decks were yoked for practice and reinforcement. Once accurate performance was achieved, overpractice was undertaken using custom computer software that allowed either fast (free-operant) or rate controlled responding. Rate-building practice, to an established fluency performance standard, was used with one deck while practice with the other deck was rate-controlled. The number of times a fact was practiced was the same for both methods. Response rate and accuracy was assessed after training to accuracy, at the end of overpractice and after 4 and 8-weeks of no practice. The assessment at the end of rate-building confirmed that rate building resulted in fast and accurate responding. It also confirmed that, for the rate controlled facts, response rates did not meet the fluency performance standard. However, the 4- and 8-week retention assessments showed no consistent differences in accuracy or response rate between the rate-controlled and rate built decks. After 8 weeks without practice, performance on the rate-built deck was not significantly different to that prior to rate building. These results suggest that practice to fluency does not lead to superior retention when compared to the same amount of rate-controlled practice. The results also indicate that when a skill is practiced to fluency, a period without practice leads to deterioration, to pre-rate-building levels, of accuracy and response rate. This study highlights the need for research examining the role of maintenance in the effectiveness of fluency based learning like Precision Teaching.
Identifer | oai:union.ndltd.org:ADTP/238382 |
Date | January 2006 |
Creators | McGregor, Susan Jennifer |
Publisher | The University of Waikato |
Source Sets | Australiasian Digital Theses Program |
Language | English |
Detected Language | English |
Rights | http://www.waikato.ac.nz/library/research_commons/rc_about.shtml#copyright |
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