Scaling learning: Learning about our users.

111
Dublin, OH April 12, 2016 Scaling Learning: Learning About Our Users Lynn Silipigni Connaway, PhD Senior Research Scientist William Harvey, PhD Consulting Software Engineer

Transcript of Scaling learning: Learning about our users.

Page 1: Scaling learning: Learning about our users.

Dublin, OH April 12, 2016

Scaling Learning: Learning About Our Users

Lynn Silipigni Connaway, PhDSenior Research Scientist

William Harvey, PhDConsulting Software Engineer

Page 2: Scaling learning: Learning about our users.

Digital Visitors and Residents: What Motivates Engagement with the Digital Information Environment?• Identify

individuals’ modes of engagement

• How they acquire their information

• Why they make their choices(White, Connaway, Lanclos, Hood,

and Vass 2014)

Page 3: Scaling learning: Learning about our users.

V&R Framework

(White and Le Cornu 2011)

#vandrVisitors and Residents resources http://goo.gl/vxUMRD

Page 4: Scaling learning: Learning about our users.

Visitor Mode

•Functional use of technology•Formal need•Invisible online presence•Internet is a toolbox

(White and Connaway 2011-2014)

Page 5: Scaling learning: Learning about our users.

Resident Mode

•Visible and persistent online presence•Collaborative activity online•Contribute online•Internet is a place

(White and Connaway 2011-2014)

Page 6: Scaling learning: Learning about our users.

“Nearly 60 percent of the world’s people are still offline.”(Pattillo 2016)

Page 7: Scaling learning: Learning about our users.

A MENAGERIE OF MAPS

Page 8: Scaling learning: Learning about our users.

Fiona Parsons

Page 9: Scaling learning: Learning about our users.

Fiona Parsons

Page 10: Scaling learning: Learning about our users.

Cendrella Habre

Page 11: Scaling learning: Learning about our users.

Cendrella Habre

Page 12: Scaling learning: Learning about our users.

Linda

Page 13: Scaling learning: Learning about our users.

Linda

?

Page 14: Scaling learning: Learning about our users.

NOS App

Page 15: Scaling learning: Learning about our users.

Jeff Gima

Page 16: Scaling learning: Learning about our users.

Sarah Campbell

Page 17: Scaling learning: Learning about our users.

Anja Smit

Page 18: Scaling learning: Learning about our users.

Melinda Loof

Page 19: Scaling learning: Learning about our users.

UCLA MAPS FEBRUARY 2016

Page 20: Scaling learning: Learning about our users.

Ginny Steel

Page 21: Scaling learning: Learning about our users.

1st Year Undergrad

Page 22: Scaling learning: Learning about our users.

2nd Year Undergrad

Page 23: Scaling learning: Learning about our users.

2nd Year Undergrad

Page 24: Scaling learning: Learning about our users.

3rd Year Undergrad

Page 25: Scaling learning: Learning about our users.

3rd Year Undergrad

Page 26: Scaling learning: Learning about our users.

4th Year Undergrad

Page 27: Scaling learning: Learning about our users.

Grad Student

Page 28: Scaling learning: Learning about our users.

Grad Student

Page 29: Scaling learning: Learning about our users.

Grad Student

Page 30: Scaling learning: Learning about our users.

Librarian

Page 31: Scaling learning: Learning about our users.

Library Assistant

Page 32: Scaling learning: Learning about our users.

Library Assistant

Page 33: Scaling learning: Learning about our users.

DATA AND ANALYSIS

Page 34: Scaling learning: Learning about our users.

• 83 maps total– 44 Global Council maps– 39 UCLA maps

• Librarians (n=53)• UCLA students (n=30)

Dataset Overview

Page 35: Scaling learning: Learning about our users.

Dataset Demographics

19-25 26-34 35-44 45-54 55-64 65+ Unknown0

5

10

15

20

25

30

Age Ranges

LibrariansStudents

Page 36: Scaling learning: Learning about our users.

Dataset Demographics

HS Diploma Bachelor's Master's Ph.D. Unknown0

5

10

15

20

25

30

35

40

45

Highest Level of Education Achieved

LibrariansStudents

Page 37: Scaling learning: Learning about our users.

• Top Countries of Origin– United States (54)– Canada (4)– Netherlands (2)– Germany (2)

• Other Countries (21)

Dataset Demographics

Page 38: Scaling learning: Learning about our users.

• Interesting multiplicity in modes of engagement

• Any guesses?

Most Commonly Reported Activities

(Sarah Campbell’s map)

Page 39: Scaling learning: Learning about our users.

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Not UsedMultiple Modes

Top 20 Activities (1-10)

Page 40: Scaling learning: Learning about our users.

0%10%20%30%40%50%60%

70%80%90%

100%

Not UsedMultiple Modes

Top 20 Activities (11-20)

Page 41: Scaling learning: Learning about our users.

• What kinds of websites and activities are reported? • Top five most popular web-based sources:

1. Social Media2. Email3. Messaging4. Search5. Video

Most Common Web-Based Sources

Page 42: Scaling learning: Learning about our users.
Page 43: Scaling learning: Learning about our users.

• Do the shapes corresponding to an activity exhibit patterns when multiple maps are considered?

• Can we identify behavioral archetypes based on an activity’s pattern of appearance?

Understanding Behavior

Page 44: Scaling learning: Learning about our users.

GoogleSearch

Personal

Institutional

Visitor Resident

Page 45: Scaling learning: Learning about our users.

Facebook Personal

Institutional

Visitor Resident

Page 46: Scaling learning: Learning about our users.

YouTube Personal

Institutional

Visitor Resident

Page 47: Scaling learning: Learning about our users.

Linkedin Personal

Institutional

Visitor Resident

Page 48: Scaling learning: Learning about our users.

Twitter Personal

Institutional

Visitor Resident

Page 49: Scaling learning: Learning about our users.

Email Personal

Institutional

Visitor Resident

Page 50: Scaling learning: Learning about our users.

Amazon Personal

Institutional

Visitor Resident

Page 51: Scaling learning: Learning about our users.

Instagram Personal

Institutional

Visitor Resident

Page 52: Scaling learning: Learning about our users.

Wikipedia Personal

Institutional

Visitor Resident

Page 53: Scaling learning: Learning about our users.

Gmail Personal

Institutional

Visitor Resident

Page 54: Scaling learning: Learning about our users.

Snapchat Personal

Institutional

Visitor Resident

Page 55: Scaling learning: Learning about our users.

GoogleDrive

Personal

Institutional

Visitor Resident

Page 56: Scaling learning: Learning about our users.

• Librarians (n=53)• Students from UCLA (n=30)• How are they similar? Different?

Compare and Contrast

Page 57: Scaling learning: Learning about our users.

Snapchat Spotify Tumblr Netflix Yelp Instagram Buzzfeed YouTube Pandora Reddit0

0.10.20.30.40.50.60.7 Activities Correlated With Students

Wikipedia Banking Bills Evernote Email Texting Games Linkedin Google Search

Gmail0

0.10.20.30.40.50.60.7 Activities Correlated With Librarians

Page 58: Scaling learning: Learning about our users.

Google Search

Facebook YouTube Twitter Linkedin Email Amazon Google Drive

Shopping Skype0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Activities Common Among Librarians and Students

Page 59: Scaling learning: Learning about our users.

• Clearly there are differences between reported activities

• What about differences or similarities in map geometry?

Compare and Contrast

Page 60: Scaling learning: Learning about our users.

GoogleSearch

Librarians

Personal

Institutional

Visitor Resident

Page 61: Scaling learning: Learning about our users.

GoogleSearch

Students

Personal

Institutional

Visitor Resident

Page 62: Scaling learning: Learning about our users.

GoogleSearch

LibrariansStudents

Personal

Institutional

Visitor Resident

Page 63: Scaling learning: Learning about our users.

Email

LibrariansStudents

Personal

Institutional

Visitor Resident

Page 64: Scaling learning: Learning about our users.

Twitter

Librarians

Personal

Institutional

Visitor Resident

Page 65: Scaling learning: Learning about our users.

Twitter

Students

Personal

Institutional

Visitor Resident

Page 66: Scaling learning: Learning about our users.

Twitter

LibrariansStudents

Personal

Institutional

Visitor Resident

Page 67: Scaling learning: Learning about our users.

Wikipedia

LibrariansStudents

Personal

Institutional

Visitor Resident

Page 68: Scaling learning: Learning about our users.

• You are handed a random V&R map• Question: Was it drawn by a Librarian or a Student?

Librarian or Student?

Page 69: Scaling learning: Learning about our users.

• How much can we deduce from a single question?Librarian or Student?

YesNo

Snapchat?

Page 70: Scaling learning: Learning about our users.

• How much can we deduce from a single question?Librarian or Student?

You’re a librarian. You’re a student.

YesNo

Snapchat?

How’d we do?Librarians: 50 of 53Students: 20 of 30

Page 71: Scaling learning: Learning about our users.

Snapchat

Librarians

Personal

Institutional

Visitor Resident

Page 72: Scaling learning: Learning about our users.

Snapchat

Students

Personal

Institutional

Visitor Resident

Page 73: Scaling learning: Learning about our users.

Snapchat

LibrariansStudents

Personal

Institutional

Visitor Resident

Page 74: Scaling learning: Learning about our users.

• How about two questions?Librarian or Student?

You’re a librarian.

YesNo

Snapchat?

CCLE? Swarm?

No Yes No Yes

You’re a student. You’re a student. You’re a librarian.

How’d we do?Librarians: 52 of 53Students: 24 of 30

Page 75: Scaling learning: Learning about our users.

CCLE

Students

Personal

Institutional

Visitor Resident

Page 76: Scaling learning: Learning about our users.

MyUCLA

Students

Personal

Institutional

Visitor Resident

Page 77: Scaling learning: Learning about our users.

Student

YesNo

Snapchat?

Student

YesNo

CCLE?

YesNo

Reddit?

YesNo

Swarm?

YesNo

Games?

Librarian Student Librarian

Librarian

How’d we do?Librarians: 52 of 53Students: 26 of 30

Page 78: Scaling learning: Learning about our users.

Student

YesNo

Snapchat?

Student

YesNo

CCLE?

YesNo

Reddit?

YesNo

Swarm?

YesNo

Games?

Librarian Student Librarian

Librarian

Page 79: Scaling learning: Learning about our users.

You’re a librarian.

YesNo

Snapchat?

Spotify? Swarm?

No Yes No Yes

You’re a student. You’re a student. You’re a librarian.

How’d we do?Librarians: 51 of 53Students: 24 of 30

Page 80: Scaling learning: Learning about our users.

Student

YesNo

Snapchat?

Student

YesNo

Spotify?

YesNo

Banking?

YesNo

Swarm?

YesNo

Games?

Librarian Student Librarian

Librarian

How’d we do?Librarians: 51 of 53Students: 24 of 30

Page 81: Scaling learning: Learning about our users.

WHAT HAVE WE LEARNED?

Page 82: Scaling learning: Learning about our users.

• The activities reported in our maps, & how they appear on our maps tell us about ourselves & others– With which activities/websites are we engaged?– How do we, as a group, engage?– Can we compare ourselves with other cohorts?– What can we learn from this?

V&R Maps as Mirrors & Lenses

Page 83: Scaling learning: Learning about our users.

“You spend many hours, with Saint Google. We entrust ourselves to Saint Google, and that solves it for us.”

(Digital Visitors and Residents, UOCFI6, Male, Age 53, Arts & Humanities)

Page 84: Scaling learning: Learning about our users.

“It’s like a taboo I guess with all teachers, they just all say – you know, when they explain the paper they always say, ‘Don’t use Wikipedia.’”

(Digital Visitors and Residents, USU7, Female, Age 19, Political Science)

The Learning Black Market

Page 85: Scaling learning: Learning about our users.

Last year high school & first year undergraduate students did not mention email as much as others. As they progressed through their academic studies, 100% of them mentioned email for “official academic things.”

Email mentioned by 100% of upper level undergraduate & graduate students & faculty.

A undergraduate student referred to “Jurassic email.”

(Universita Cattolica del Sacre Cuore, Female, Age 19)

Page 86: Scaling learning: Learning about our users.

Just because students indicate they use apps, social media, etc. does not mean they will want to engage with the academy in these places or ways.

Page 87: Scaling learning: Learning about our users.

WHAT CAN WE DO?

Page 88: Scaling learning: Learning about our users.

“Whatever their performance level, students report that they prefer to study in the library.” 

(Thaler and Pittman 2015)

Physical Spaces

Page 89: Scaling learning: Learning about our users.

Virtual Spaces

Page 93: Scaling learning: Learning about our users.

Model Library Services on Popular Services

Page 94: Scaling learning: Learning about our users.

Model Library Services on Popular Services

Page 95: Scaling learning: Learning about our users.

Special Events & Activities

Page 96: Scaling learning: Learning about our users.

Special Events & Activities

Page 97: Scaling learning: Learning about our users.

Social Media Presence

Page 98: Scaling learning: Learning about our users.

Advertise Resources, Brand, & Value

Page 99: Scaling learning: Learning about our users.

Build Relationships

Page 100: Scaling learning: Learning about our users.

“By focusing on relationship building instead of service excellence, organizations can uncover new needs and be in position to make a stronger impact.”

(Mathews 2012)

Page 101: Scaling learning: Learning about our users.

ReferencesAnderson, Matt. 2012. “Libraries Help Stressed Students During Finals.” Mattanderson.org blog. http://www.mattanderson.org/blog/2012/12/19/libraries-help-stressed-students-during-finals/.

Barthel, Michael. 2016. “Around Half of Newspaper Readers Rely Only on Print Edition.” Pew Research Center, January 6. www.pewresearch.org/fact-tank/2016/01/06/around-half-of-newspaper-readers-rely-only-on-print-edition.

Colorado Virtual Library. “FindIT Colorado.” http://www.coloradovirtuallibrary.org/finditcolorado/.

Connaway, Lynn S., David White, and Donna Lanclos. 2011. “Visitors and Residents: What motivates engagement with the digital information environment?” Proceedings of the 74th ASIS&T Annual Meeting 48: 1-7.

Dempsey, Lorcan. 2012. “Thirteen Ways of Looking at Libraries, Discovery, and the Catalog: Scale, Workflow, Attention.” EDUCAUSE Review Online. http://www.educause.edu/ero/article/thirteen-ways-looking-libraries-discovery-and-catalog-scale-workflow-attention.

Page 102: Scaling learning: Learning about our users.

ReferencesDeSantis, Nick. 2012. “On Facebook, Librarian Brings 2 Students From the Early 1900s to Life.” The Chronicle of Higher Education, January 6. http://chronicle.com/blogs/wiredcampus/on-facebook-librarian-brings-two-students-from-the-early-1900s-to-life/34845.

Digital Promise. “The New Librarian: Leaders in the Digital Age.” Digital Promise, October 1, 2014. http://digitalpromise.org/2014/10/01/teacher-librarians-chart-a-new-course-in-vancouver-public-schools/.

Earl Gregg Swem Library. 2013. “De-stress at the Library During Final Exams.” https://swem.wm.edu/news/2013/12/de-stress-library-during-final-exams.

Kraft, Amanda, and Aleck F. Williams, Jr. 2016. “#Shelfies are Encouraged: Simple, Engaging Library Instruction with Hashtags.” College & Research Libraries News 77, no. 1 (2016): 10-13.

Lally, Ann M., and Carolyn E. Dunford. 2007. “Using Wikipedia to Extend Digital Collections.” D-Lib Magazine 13, no. 5/6. http://www.dlib.org/dlib/may07/lally/05lally.html.

Mannes, Tanya. 2012. “A Library…In a Mall?” The San Diego Union-Tribune, February 29, 2012. http://www.sandiegouniontribune.com/news/2012/feb/29/library-mall/.

Page 103: Scaling learning: Learning about our users.

ReferencesMathews, Brian. 2012. Think Like a Startup: A White Paper to Inspire Library Entrepreneurialism [White paper]. http://chronicle.com/blognetwork/theubiquitouslibrarian/2012/04/04/think-like-a-startup-a-white-paper/.

Mudd Library. “Library Events.” Lawrence University. https://www.lawrence.edu/library/about/events.

Pattillo, Gary. 2016. “Fast Facts.” College & Research Libraries News 77, no. 3: 164.

Priestner, Andy, and Elizabeth Tilley. 2012. Personalising Library Services in Higher Education: The Boutique Approach. Farnham, Surrey, England: Ashgate.

Radford, Marie L., Lynn Silipigni Connaway, and Chirag Shah. 2011-2013. Cyber Synergy: Seeking Sustainability through Collaboration between Virtual Reference and Social Q&A Sites. Funded by the Institute of Museum and Library Services (IMLS), Rutgers University, and OCLC. http://www.oclc.org/research/activities/synergy/default.htm.

Rua, Robert J. 2011. “Running a Passport Acceptance Facility at Your Library.” American Libraries, February 1, 2011. http://americanlibrariesmagazine.org/2011/02/01/running-a-passport-acceptance-facility-at-your-library/.

Page 104: Scaling learning: Learning about our users.

ReferencesThaler, Mark, and Tim Pittman. 2015. “A Student View of Academic Libraries.” Dialogue 27: 10-11. http://www.gensler.com/design-thinking/publications/dialogue/27/a-student-view-of-academic-libraries.

University of Minnesota. “Managing Stress on the Road to Finals Week.” https://twin-cities.umn.edu/managing-stress-road-finals-week.

White, David S., and Lynn Silipigni Connaway. 2011-2014. Visitors & Residents: What Motivates Engagement with the Digital Information Environment. Funded by JISC, OCLC, and Oxford University. http://www.oclc.org/research/activities/vandr/.

White, David, Lynn Silipigni Connaway, Donna Lanclos, Erin M. Hood, and Carrie Vass. 2014. Evaluating Digital Services: A Visitors and Residents Approach. http://www.jiscinfonet.ac.uk/infokits/evaluating-services/.

World Bank. 2016. “World Development Report 2016: Digital Dividends.” Washington, DC: World Bank. www.worldbank.org/en/publication/wdr2016.

Zimmerman, Jess. 2013. “There’s a Secret Library in the New York City Subway.” Grist, October 3, 2013. http://grist.org/cities/theres-a-secret-library-in-the-new-york-city-subway/.

Page 105: Scaling learning: Learning about our users.

NEW RELEASE OF MAPPING APP

Page 106: Scaling learning: Learning about our users.

http://experimental.worldcat.org/vandrmapping

Page 107: Scaling learning: Learning about our users.

• Draw your own V&R map on a computer, tablet, or smartphone using a “scrapbooking” interface

Visitors and Residents Mapping App

Page 108: Scaling learning: Learning about our users.
Page 109: Scaling learning: Learning about our users.

http://experimental.worldcat.org/vandrmapping

Page 110: Scaling learning: Learning about our users.

http://experimental.worldcat.org/vandrmapping

Page 111: Scaling learning: Learning about our users.

Thanks!Lynn Silipigni ConnawaySenior Research [email protected]

William HarveyConsulting Software [email protected]