Evaluating Peer Assisted Learning
Evaluation of a PAL programme will most likely need to take place for any number of the following:
Retention and Achievement - Numerical Analysis
It is important to be able to demonstrate that PAL can increase the grades of students and lower their chaces of dropping out of a course. The most simplistic analysis will be to compare those students who have regularly attended SI against those who have not, and apply a statistical procedure to see if the former students have fared better than the latter. Such a procedure would not take into account what has been termed `self-selection bias´- those students attending PAL may differ from those who do not. Examples of possible differences include:
Of these, prior academic achievement has been most frequently accounted for in published studies. Motivation has to an extent also been accounted for in the literature, though as a variable has tended to be interpreted differently by different researchers. An example of how such data might be collected and subsequently analysed is shown below:
As most studies are from the US, prior academic achievement has usually been entered into statistical analysis as a student´s SAT (Scholastic Aptitude Test) score. It is worth noting that in most studies, PAL (or Supplemental Instruction as it is called in the US) has been shown to have an effect over and above a student´s previous academic achievement. In the UK, an appropriate controlling variable would be a student´s A-Level points.
Methods to Determine the Impact of SI Programes on Colleges and Universities
Follow
this link to view the US paper:This paper details at length methods to assess PAL (SI).
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