Figure 4: 6th grade students' conceptual tool for the “Relay Race” MEA
Figure 4 illustrates the conceptual tools developed by 6th grade students for the "Relay Race" MEA. The foundation of their conceptual tool or, as the students described it,“The key to this procedure is averages,” referring to the average of the 200 m results for each runner in all four competitions. Here the students used averaged time as the key element of their model, while their conceptual tool was based on comparison, as demonstrated in the dashed rectangle in Figure 4. The team defined the comparison as“the person who has the lowest score [is the best] will participate in the relay race."Though the average was the key element, students continued to mathematically elaborate on the developed model, engaging other essential elements such as the season in which the relay race took place and the teacher evaluations for each runner;
they considered the data relations and mathematized them according to their
interpretation; teacher evaluation was ranked from 1 to 3 (the “best”) and was
subtracted from the average time, and the results of the 200 m race in autumn were added.
Figure 4: 6th grade students' conceptual tool for the “Relay Race” MEAFigure 4 illustrates the conceptual tools developed by 6th grade students for the "Relay Race" MEA. The foundation of their conceptual tool or, as the students described it,“The key to this procedure is averages,” referring to the average of the 200 m results for each runner in all four competitions. Here the students used averaged time as the key element of their model, while their conceptual tool was based on comparison, as demonstrated in the dashed rectangle in Figure 4. The team defined the comparison as“the person who has the lowest score [is the best] will participate in the relay race."Though the average was the key element, students continued to mathematically elaborate on the developed model, engaging other essential elements such as the season in which the relay race took place and the teacher evaluations for each runner;they considered the data relations and mathematized them according to theirinterpretation; teacher evaluation was ranked from 1 to 3 (the “best”) and wassubtracted from the average time, and the results of the 200 m race in autumn were added.
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