data driven decision making jessica fries-gaither [email protected] kim lightle...

13
Data Driven Decision Making Jessica Fries-Gaither [email protected] Kim Lightle [email protected]

Upload: buck-harmon

Post on 18-Jan-2016

220 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Data Driven Decision MakingJessica Fries-Gaither

[email protected] Lightle

[email protected]

Page 2: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Multiple Sources of Data from Multiple Sources**

Tell us something about…• Our users• Their needs• And where they are on the webAnd informs…• Content Development• Delivery Decisions**OSU, ExpertVoices, Content Clips, Google

Page 3: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Data Streams

• Survey data– General web use– Specific content

• Expert reviews (external evaluator)• User Feedback

- User testing (homepage, issue page, article format)- Focus groups (science content knowledge)- Blog comments and in-links- Comments of guest contributors

Page 4: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Web Metrics• Referrals (front door or side window)• Search logs – Search engine referral logs– Site search logs

• Number of Pageviews• Sessions• Requested Pages• Click Paths• Time Frames• Session Length – How “sticky” are pages?

Page 5: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Cyberzine Usage Statisticshttp://beyondpenguins.nsdl.org/

Basic Usage Statistics• Pageviews• Visits• Unique visitors• Average

pages/visit• Average time on

site• Bounce rate• New visits

Page 6: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Who is our audience?

Intended audience = elementary teachersActual audience = ?Infer from:• Traffic sources• Keywords• Landing Pages• Top Content

Page 7: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Traffic Sources

Direct Traffic ~ 6%Referring Sites ~13%Search Engines ~ 81%

Decisions• Maximize search

engine optimization• Solicit links from

related sites• Promote site to

increase direct traffic• Design site to

encourage further exploration

Page 8: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Traffic Sources: Referring SitesReferring Sites• Expert Voices• internet4classrooms.com• NSDL• Byrd Polar Research Center• NSF• Yukon Education Student Network• International Polar Year

Compare to site averages:

Decisions

• Identify where teachers are on web and solicit links/distribute content.

Visitors from NSDL.org

Site average

Pages/visit 8.06 1.92

Time on site 12:54 1:35

Page 9: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Keyword Searches(September 2008)

Water cycle lesson plansDiscrepant eventsTeaching context cluesBeyond penguins and polar bearsRocks and minerals lessonTeaching day and nightCause and effect activitiesExpository articlesScience notebooksSeasons misconceptions

Page 10: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Top Landing Pages (September 2008)

Rock and Mineral lessonsHome pageLiteracy Content Knowledge: Context CluesWater Cycle lessonsDiscrepant Events in Elementary ClassroomsSeason Misconceptions Aurora art lessons Rock and mineral misconceptions

Page 11: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Top Content(September 2008)

Rock and Mineral lessonsHome pageWater Cycle lessonsLiteracy Content Knowledge: Context CluesSeptember IssueSeason misconceptionsRocks and Minerals feature story Discrepant Events in Elementary ClassroomsWeather and Climate lessonsDay/Night and Seasons lessonsAurora art lessonsRock and Mineral misconceptions

Page 12: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Where on the web are teachers?

Monitor referring sites for number and depth of visits

Digital stories uploaded to YouTube and TeacherTube.

YouTube TeacherTube Blog*

Polar Sense of Place

79 471 64

Antarctic Rocks 35 227 52

*Only includes “clicks” on that particular post. Does not represent all views (general blog traffic and RSS subscribers).

Page 13: Data Driven Decision Making Jessica Fries-Gaither fries-gaither.1@osu.edu Kim Lightle lightle.16@osu.edu

Conclusions

• Web metrics are useful, but don’t provide conclusive data about audience and needs

• Need to triangulate data across multiple data streams

• Need to consider context: project design, and users themselves