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Multiple Intelligences as Strategy for Teaching EFL to high school graduates

one of the following scores:

One dimensions recorded;

1.disorganized recording of one dimension (either adults and children or on and off);

2.labeled, accurate recording of one dimension;

3.disorganized recording of two dimensions;

4.disorganized recording of one dimension and labeled, accurate recording of one dimension; or 5labeled, accurate recording of two dimensions . They have also created a related instrument, the Modified Spectrum Field Inventory, that samples several intelligences in the course of two one-hour sessions. Although this inventory does not draw directly from the curriculum, it is based on the kinds of materials and activities that are common in many preschools. In addition, related

materials from the Spectrum curriculum can be implemented in the classroom to ensure that the children will be familiar with the kinds of tasks and materials used in the inventory. Preliminary Results from Project Spectrum Although none of these programs is in final form, and thus any evaluation must be considered preliminary and tentative, the results so far at the pilot sites seem promising. The value of rich and evocative materials has been amply documented. In the classrooms in Pittsburgh, Indianapolis, and Boston, teachers report heightened motivation on the part of the students, even as students themselves appreciate the opportunity to reflect on their own growth and development. Moreover, our programs with both older and younger children confirm that a consideration of a broader range

of talents brings to the fore individuals who previously had been considered unexceptional or even at risk for school failure. As for the assessment instruments under development, only those of Project Spectrum have been field tested in classrooms. In 1987-89, they used these instruments in two different settings to investigate the hypothesis that the intelligences are largely independent of one another. To examine this hypothesis, we sought to determine (a)

whether young children exhibit distinct profiles of intellectual strengths and weaknesses, and (b) whether or not performances on activities designed to tap different intelligences are significantly correlated. In the 1987-88 academic year, twenty children from a primarily white, upper-middle-income population took part in a year-long Spectrum program. In the 1988-89 academic year, the Modified Spectrum

Field Inventory was piloted with fifteen children in a combined kindergarten and first-grade classroom. This classroom was in a public school in a low- to middle-income school district. In the preschool study, children were assessed on ten different activities (story telling, drawing, singing, music perception, creative movement, social analysis, hypothesis testing, assembly, calculation and counting, and number and notational logic) as well as the Stanford-Binet Intelligence Scale, Fourth Edition. To compare children's

performances across each of the activities, standard deviations were calculated for each activity. Children who scored one or more standard deviations above the mean were judged to have a strength on that activity; those who scored one or more standard deviations below the mean were considered to have a weakness on that activity. This analysis revealed that these children did not perform at the same level across activities and suggested that they do have distinct intellectual profiles. Of the

twenty children, fifteen demonstrated a strength on at least one activity, and twelve

children showed a weakness on one or more activities. In contrast, only one child was identified as having no strengths or weaknesses, and her scores ranged from -.98 to +.87 standard deviations from the mean. These results were reinforced by the fact that, for the most part, children's

performances on the activities were independent. Using Spearman rank-order correlations, only the number activities, both requiring logical-mathematical intelligence, proved significantly correlated with one another (r = .78, p < .01). In the other areas, music and science, where there were two assessments, there were no

significant correlations. Conceivably, this result can be attributed to the fact that the number activities, both of which involved calculation, shared more features than the music activities (singing and music perception) or the science activities (hypothesis testing and mechanical skill). Of course, the small sample size also may have contributed to the absence of powerful correlations among measures. A comparison of the Spectrum and Stanford-Binet assessments revealed a limited relationship between children's performances on these different instruments.

Spearman rank-order correlations showed that only performances on the number activities were significantly correlated with IQ (dinosaur game, r = .69, p < .003; bus game, r = .51, p < .04). With its concentration on logical-mathematic and linguistic skills, one might have expected a significant correlation with the Spectrum language activity as well. Conceivably, there was no significant correlation because the