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What Does "100% Juice" Mean? Exploring Adult Learners' Informal Knowledge of Percent
Lynda Ginsburg Key Findings:
Key Recommendations:
Introduction Although percents are central to many everyday aspects of adults' lives, little is known about what adults with limited formal mathematical skills know about the percent system or how they approach common percents when they encounter them while shopping or as information presented by the media. National surveys suggest that many adults leave school with incomplete knowledge of percents. However, in order to cope with everyday demands, they may informally develop some percent-related ideas, skills, and strategies. Information about self-developed, context-bound informal knowledge is important for the design of effective instruction that builds on students' strengths, tries to ameliorate knowledge gaps or misunderstandings, and aims to enhance students' ability and willingness to put new learning to use in their lives.
Methodology
The adults were presented with explanatory, shopping, visual,
and computation tasks involving the benchmark percents, 100%,
50%, and 25%. Questioning centered around the adults'
interpretations of the meaning and use of the percents as
embedded in everyday percent-laden stimuli such as newspaper
articles and advertising flyers. For the computation task,
interviewees completed a school-like series of percent
exercises.
Analyses looked at individual adults' patterns of responses and
patterns within groupings of those whose pre-instruction scores
on standardized tests were below 7th grade, between 7th and 8th
grade, and above 8th grade.
Implications
Students' knowledge is often limited in depth and tied to the
context(s) in which it was developed, whether those contexts
were specific everyday situations or earlier school-based,
context-free computational skill instruction. Teachers need to
be concerned with transfer of existing and new knowledge to an
expanded range of situations. Towards this end, instruction
should develop students' conceptual understanding,
interpretation skills, and informal computation, as well as
formal computational skills within realistic problem contexts.
Similarly, assessments should not be limited to evaluation of
decontextualized computational skills, but should explore
performance on realistic tasks and evaluate depth of
understanding by requiring that students justify or explain
responses.
Further Reading
Leinhardt, G. (1988). Getting to know: Tracing students'
mathematical knowledge from intuition to competence. Educational
Psychologist, 23(2), 119-144.
Nunes, T., Schliemann, A. D., & Carraher, D. W. (1993). Street
Mathematics and School Mathematics. Cambridge: Cambridge
University Press.
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