learning analytics and libraries: a natural partnership

Learning Analytics and

Libraries: A Natural

Partnership

WiLS World 2016

August 2, 2016

Kimberly Arnold

Agenda

• What is Learning Analytics

• Learning Analytics and Libraries

• Accountability

• Student Success

• Public Libraries

• Other Intersections

• Discussion

Who b u

data

What is this learning

analytics thing?

Source: Barua, A., Mani, D., & Mukherjee, R. (2012). Measuring the business

impacts of effective data. Report accessed at http://www. sybase.

com/files/White_Papers on Sep, 15, 2015.

Educause’s Top 10 IT Issues 2016

1. Information security

2. Optimizing educational technology

3. Student success technologies

4. IT workforces hiring and retention

5. Institutional data management

6. IT funding models

7. BI & Analytics

8. Enterprise application integrations

9. IT organizational development

10. Elearning and online education

Gartner Top Business Trends in HE 2016

1. Student success

2. Competency based education

3. Reinventing credits

4. Analytics everywhere

5. Institutional branding

6. Breaking boundaries

7. Rethinking business models

8. Increased political interventions

9. Innovative learning spaces

10. E-research

2016 ALA Top Technology Trend

Learning Analytics

8/5/2016University of Wisconsin–Madison 8

Learning analytics is the measurement, collection,

analysis, and reporting of data about learners and their

contexts, for the purposes of understanding and

optimizing learning and the environments in which it

occurs.

~Society for Learning Analytics Research

Adapted from: Eckerson, W. W. (2006) Performance Dashboards: Measuring,

Monitoring, and Managing Your Business. John Wiley & Sons, Inc. Hoboken, NJ.

RE

FI

N

E

Developing “Actionable Intelligence”

Learning Analytics and Libraries:

Accountability

Learning Analytics & Metrics

Project

View library resources usage by subject,

course, and level of student attainment

Reveal statistically significant trends

View resource usage against NSS

What “types” of learners are using which

resources least/most

http://jisclamp.mimas.ac.uk/

Other Library Examples

There is a correlation between student

(grade) attainment and library activity data–

Stone & Ramsden (2012); Stemmer & Mahan

(2015)

There is a link between library usage and

retention—Haddow & Joseph (2010); Soria,

Fransen, & Nackerud (2013)

There is a link between GPA and library

workshop attendance –Wong & Cmor (2010)

Being part of library-related activities

correlated with collaborative learning and

student engagement—Laird & Kuh (2005)


Student Success

Predictive analytics encompasses a variety of

statistical techniques from predictive modeling that

analyze current and historic facts to make predictions

about future or otherwise unknown events.

~The Data Warehouse Institute

…an example

Challenge: How do you find the student at risk?

Student Dashboard

Dashboard measure students’ engagement—

this is a stronger predictor of success than

back ground characteristics

Library usage (composite) is more predictive

than VLE

When interventions are presented, library

usage goes up

Transparency is critical

https://analytics.jiscinvolve.org/wp/files/2016/04/CASE-STUDY-I-

Nottingham-Trent-University.pdf

JISC Student Activity Pulse

JISC Reports

Use of Digital Resources

Lessen focus on “at risk”

What are successful pattern in terms of

digital learning resources access

Self-regulation lens and course performance

(more empirical)

the use of learning resources influences

course performance differently for different

groups of students

https://www.researchgate.net/publication/293333321_Student_diffe

rences_in_regulation_strategies_and_their_use_of_learning_resource

s_implications_for_educational_design


Public Libraries

Analytics on Demand

Combines LIS data with US demographics,

census, voter registration, and geographical

data

Emmet O’Neal Library: Data informed

programming and collection development

King County Library System: Targeted

outreach

Sacramento Public Library: Patron profiles

e-book and studio books profiles


Other Areas

Other Areas of Interest

Open Educational Resources

Space redesign/collaborative learning

Course Design/Content Selection

E-books (and general e-resources)

Data/Information Literacies

Privacy/Ethics

Recent Library Resources

College & Research Libraries May 2016; 77 (3)

http://crl.acrl.org/content/current

UC Berkeley's Academic Innovation Studio’s three part webinar

series: Learning Analytics and the Academic Library

http://ais.berkeley.edu/events/learning-analytics-and-

academic-library-state-art-and-art-connecting-library-campus

Advancing Learning Transforming Scholarship

http://www.ala.org/acrl/learninganalytics

http://crl.acrl.org/content/current

http://ais.berkeley.edu/events/learning-analytics-and-academic-library-state-art-and-art-connecting-library-campus

http://www.ala.org/acrl/learninganalytics

Upcoming Events

Library Assessment Conference

Oct 31-Nov 2

Arlington, VA

http://libraryassessment.org/schedule/

http://libraryassessment.org/schedule/

References

Bos, N., & Brand-Gruwel, S. (2016, April). Student differences in regulation strategies

and their use of learning resources: implications for educational design. In Proceedings

of the Sixth International Conference on Learning Analytics & Knowledge (pp. 344-353).

ACM.

De Jager, K. (1997). Library Use and Academic Achievement. South African Journal of

Library & Information Science, 13(2), 26-30.

Haddow, G., & Joseph, J. (2010). Loans, logins, and lasting the course: Academic library

use and student retention. Australian Academic & Research Libraries, 41(4), 233-244.

Jantti, M., & Cox, B. (2013). Measuring the value of library resources and student

academic performance through relational datasets. Evidence Based Library and

Information Practice, 8(2), 163-171.

Laird, T. F. N., & Kuh, G. D. (2005). Student experiences with information technology

and their relationship to other aspects of student engagement.Research in Higher

Education, 46(2), 211-233.

Soria, K. M., Fransen, J., & Nackerud, S. (2013). Library use and undergraduate student

outcomes: New evidence for students' retention and academic success. portal: Libraries

and the Academy, 13(2), 147-164.

Stemmer, J. K., & Mahan, D. M. (2015). Investigating the Relationship of Library Usage

to Student Outcomes. College & Research Libraries, crl15-704.

Stone, G., & Ramsden, B. (2012). Library Impact Data Project: looking for the link

between library usage and student attainment. College & Research Libraries, crl12-406.

Wong, S. H. R., & Cmor, D. (2010). Measuring association between library instruction and

graduation GPA. College & Research Libraries, crl-151.

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