SILO 5.3 (DRAFT)Year 5, Term 3: LogisticsFocus: Logistics Scope
and sequence: Logistics,
Analytics, Affordances
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Learning
intention: Students
design their own enterprises and explore how the associated
logistics and data can be represented in different ways.
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Overview: This unit builds
on prior knowledge from SILO 1.1
'Graphs' but also has some overlap with design. The main focus
is engaging each child to design their own enterprise where they
use mathematics and design principles to identify logistical
issues. For example, a music festival would involve ticket sales
and other elements relating to event management. An online
jewelry store would involve a web presence. Both would benefit
from a budget created as an Excel spreadsheet.
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NSW Syllabus
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Australian Curriculum
(version 9.0)
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"A student constructs graphs using
many-to-one scales." (MA3-DATA-01)
"A student develops understanding
and fluency in mathematics through exploring and connecting
mathematical concepts, choosing and applying mathematical
techniques to solve problems, and communicating their thinking
and reasoning coherently and clearly." (MAO-WM-01)
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"Students learn to recognise
different types of data and explore how the same data can be
represented differently depending on the purpose." (AC9TDI4K03)
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Introduction to the topic
Logistics involves supply chain management and deals with the flow of goods and services. A major consideration here is efficiency as shown in this short video (0:51) titled, What is Logistics? The Basics.
Creating budgets in Excel (or Google sheets)
Affordances
The word 'affordances' was first used by Gibson in 1966 but more clearly expounded in his writing from 1979 as follows:
The affordances of the environment are what it offers the animal, what it provides or furnishes, either for good or ill. The verb to afford is found in the dictionary, the noun affordance is not. I have made it up. I mean by it something that refers to both the environment and the animal in a way that no existing term does. It implies the complementarity of the animal and the environment (p. 127).
Affordances are the inherent properties of an object, either virtual or tangible. For example, ropes are good for binding and pulling but not for pushing.
Types of data
Descriptive data
Predictive data
Prescriptive data
Data analytics
The following video (3:16) about data analytics further explains descriptive data, predictive data, and prescriptive data and how they related to decision making.
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