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EDUC W200 Week 9 Categories of tools For tasks Gaining knowledge Showcase and apply knowledge Interact, collaborate, and connect with others Gather real world information about to make decisions Complete teaching and/or learning activities more efficiently

Lecture part1 definitions

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Page 1: Lecture part1 definitions

EDUC W200 Week 9

Categories of tools For tasks

Gaining knowledge

Showcase and apply knowledge

Interact, collaborate, and connect with others

Gather real world information about to make decisions

Complete teaching and/or learning activities more efficiently

Page 2: Lecture part1 definitions

EDUC W200 Week 9

DATA COLLECTION AND ANALYSIS TASKS

Page 3: Lecture part1 definitions

EDUC W200 Week 9

DATA COLLECTION & ANALYSIS (DC&A) TASKS:

• Discussion Questions :o What is your definition of “data analysis?” What do

you think of?o What about “data collection?” What do you think

of for that?o In your school experiences, when have you

collected data? Analyzed data?

Page 4: Lecture part1 definitions

EDUC W200 Week 9

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 taskso Finding patterns & trendso Working with words, ideas, and/or numberso Classify, sequence, relate things to each other

Data collection taskso Collecting your own data o Finding existing data: gathering and collecting it

Page 5: Lecture part1 definitions

EDUC W200 Week 9

DATA COLLECTION AND ANALYSIS: ACROSS SUBJECT AREAS

• And tools for DC&A tasks help them do this.But how does this work across subject areas and grade levels…?

Discussion Question: How can students in my subject area learn

through collecting data? Analyzing data?

Page 6: Lecture part1 definitions

EDUC W200 Week 9

DATA ANALYSIS TASKS

Page 7: Lecture part1 definitions

EDUC W200 Week 9

WHAT ARE DATA ANALYSIS TASKS?

• Its all about thinking about, moving around, organizing and looking for patterns in data.

• Provide students with raw materials (facts, numbers, words, etc)

• Asks them to draw conclusions and facts on their own

• Not limited to numbers – it’s about patterns of all types

Page 8: Lecture part1 definitions

EDUC W200 Week 9

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, etc

• Measuring angles and using these measurements to create “rules” for geometry

Page 9: Lecture part1 definitions

EDUC W200 Week 9

Data collection and analysis: across subject areas

• And tools for DC&A tasks help them do this.But how does this work across subject areas and grade levels…?

Think-Pair-Share – 3 minutes: How can students in my subject area learn

through collecting data? Analyzing data?

Page 10: Lecture part1 definitions

EDUC W200 Week 9

WHY BOTHER WITH DATA ANALYSIS TASKS?

• Analyzing your own data makes it more ‘real’• Gives a visual way to view information (Ex:

Wordle or InspireData)• It also teaches problem solving