The document discusses different types of tasks involving data collection and analysis. It defines data collection and analysis tasks as those where students gather real-world information about a problem and study the data to find a solution. Data analysis tasks involve finding patterns and trends, classifying information, and relating different elements. Data collection tasks involve students gathering their own data or finding existing data sets. The document provides examples of data analysis tasks from different subject areas and notes that data analysis makes learning more meaningful by allowing students to draw their own conclusions from real data.

1. CATEGORIES OF TOOLS FOR TASKS
Gaining
Knowledge
Complete teaching
and/or learning Showcase and
activities more apply
efficiently knowledge
Gather real world Interact,
collaborate, and
information to make connect with
decisions others
EDUC W200 Week 9

2. DATA COLLECTION AND ANALYSIS TASKS
EDUC W200 Week 9

3. DATA COLLECTION AND ANALYSIS:
TASKS DEFINED
Data Collection and Analysis (DC&A) tasks:
o Tasks where students gather real world information about a problem and
study/evaluate to come up with a conclusion/solution for the problem.
Data analysis tasks
o Finding patterns & trends
o Working with words, ideas, and/or numbers
o Classify, sequence, relate things to each other
Data collection tasks
o Students collect their own data OR
o Students find existing data sets
EDUC W200 Week 9

4. DC&A TASK DISCUSSION
Discuss the questions below
Data Collection Data Analysis
• Have you ever collected data for a • Have you ever analyzed data for a
(K-12) school project? (K-12) school project?
• What was the project? • What were you looking for?
• What data was collected? • How did you analyze the data?
• Did you use technology to collect • Did you use technology to collect
the data? If so, what did you use? the data? If so, what did you use?
Have you seen any Data Collection and Analysis tasks that crossed disciplines?
EDUC W200 Week 9

5. DATA ANALYSIS TASKS
EDUC W200 Week 9

6. WHAT ARE DATA ANALYSIS TASKS?
• It’s all about organizing and looking for patterns in
data.
o Provide students with raw materials
• facts, numbers, words, etc
o Asks them to draw conclusions on their own (based on the
data)
o Not limited to numbers – it’s about patterns of all types
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7. EXAMPLES OF ANALYZING DATA
• Taking measurements of three different plants over the course of a month
(science)
• Looking up the parties of presidential election winners and recording them
for each election year (social studies)
• Looking at multiple poems and finding the common meters, themes,
structures
• Measuring angles and using these measurements to create “rules” for
geometry
• Using surveys to compare favorite style of music, favorite instrument,
favorite concept studied in Music Appreciation class across grade levels
(Fine Arts)
• Investigating the number of football related deaths in high schools across
the country for the past 30 years to detect trends (Health/Physical
Education)
EDUC W200 Week 9

8. WHY BOTHER WITH DATA ANALYSIS TASKS?
• Analyzing your real data makes learning more
meaningful
• Provides a visual way to view information (Ex: Wordle
or InspireData)
• It also teaches problem solving
EDUC W200 Week 9