learning analytics and libraries

Using analytics to transform the library agenda

Dr Linda Corrin@lindacorrin

DEFINITION

the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs

Society for Learning Analytics Research

http://www.youtube.com/watch?v=ZwTKXEoWcRE

Long P. & Siemens G. (2011) Penetrating the fog: analytics in learning and education. EDUCAUSE Review 46, 31–40. Available at: http://www.educause.edu/ero/article/penetrating-fog-analytics-learning-and-education

Micro

Meso

Macro

Buckingham Shum, S., Knight, S., & Littleton, K. (2012). Learning analytics. In UNESCO Institute for Information Technologies in Education. Policy Brief.

PossibilitiesLearning analytics

Personalised learning

Understanding the learning process

Information about the students’ context

Pedagogical and assessment improvements

Understanding student motivation and attitude

Academic analytics

IT service provision

Curriculum mapping

Review of teaching structures

Student support services

Student retention

Drachsler, H., & Greller, W. (2012). The pulse of learning analytics. Understandings and expectations from the stakeholders. In S. Buckingham Shum, D. Gasevic, & R. Ferguson (Eds.), 2nd International Conference Learning Analytics & Knowledge (pp. 120-129). April, 29-May, 02, 2012, Vancouver, BC, Canada.

Libraries and Student Success

Positive impact on grades a

Positive impact on retention b

Positive impact on grades and retention c

a. 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.

b. Haddow, G. (2013). Academic library use and student retention: A quantitative analysis. Library & Information Science Research, 35(2), 127-136.c. Soria, K. M., Fransen, J., & Nackerud, S. (2014). Stacks, serials, search engines, and students' success: First-year undergraduate students' library use, academic

achievement, and retention. The Journal of Academic Librarianship, 40(1), 84-91.

LA Implementation in Australia

1. Conceptualisation

2. Capacity & culture

3. Leadership

4. Rapid innovation cycle

5. Ethics

What do libraries want/need to know?

How can learning analytics help answer these questions?

QUESTION:

Image source: https://edtechdigest.wordpress.com/2012/05/10/learning-analytics-the-future-is-now/

1. Performance

2. Effort

3. Prior academic history

4. Student characteristics

Current Research

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?

Current Research

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Focus Groups

Student engagement

The learning experience

Quality of teaching and curriculum

Administrative functions associated with L&T

Student performance‘At risk’ studentsAttendanceAccess to learning resourcesParticipation in communicationPerformance in assessment

Corrin, L., Kennedy, G., & Mulder, R. (2013). Enhancing learning analytics by understanding the needs of teachers. In H. Carter, M. Gosper & J. Hedberg (Eds.), Electric Dreams. Proceedings ascilite 2013 Sydney. (pp. 201-205).

Focus Groups

Student engagement




Student performance += ? (ideal student)


Focus Groups

Student engagement




Student performance

Feedback


Focus Groups

Student engagement



Administrative functions associated with learning & teaching

Student performance

Greater understanding of how students develop knowledge Track prior knowledge and it’s development through learning activities Data?

Focus Groups

Student engagement




Student performance

Automated textual analysis of messages sent to student support services Assessment (formative and summative) to identify areas for review Access to support resources

Focus Groups

Student engagement




Student performance

Assessment of consistency of student placements Enrolment and profiling of tutorial groups Tracking safety requirements for field trips Guidance for students on future subject selection

Interviews

Interviews with 12 teaching academics (UoM, Macquarie, UniSA)

1. Fairly basic analytics requests

2. Focus on engagement analytics

3. Limited use of technological tools (blended)

4. Concerns over ability to interpret data

Kennedy, G., Corrin, L., Lockyer, L., Dawson, S., Williams, D., Mulder, R., Khamis, S., & Copeland, S. (2014). Completing the loop: returning learning analytics to teachers. In B. Hegarty, J. McDonald, & S.-K. Loke (Eds.), Rhetoric and Reality: Critical perspectives on educational technology. Proceedings ascilite Dunedin 2014 (pp. 436-440).

Learning Design

“Learning design provides a semantic

structure for analytics” Mor, Ferguson & Wasson, 2015

“a documentation of pedagogical intent”

Lockyer, Heathcote & Dawson, 2013

Interaction with resources

Hadwin, A. F., Nesbit, J. C., Jamieson-Noel, D., Code, J., & Winne, P. H. (2007). Examining trace data to explore self-regulated learning. Metacognition and Learning, 2(2-3), 107-124.

GIVING THE DATA TO STUDENTS…

Student Perspectives“I just log into the [LMS] to download learning materials

and print them. I do not think my online learning behaviours such as log-ins would reflect my general

efforts for learning and learning outcomes”

Park, Y., & Jo, I. H. (2015). Development of the Learning Analytics Dashboard to Support Students' Learning Performance. Journal of Universal Computer Science, 21(1), 110-133.

Plan learning schedule

Manage learning processes

Set learning goals

Get an objective and accurate perspective

Do not want such data to impact final score and grade

Student Dashboards

Corrin, L., & de Barba, P. (2014). Exploring students’ interpretation of feedback delivered through learning analytics dashboards. In B. Hegarty, J. McDonald, & S.-K. Loke (Eds.), Rhetoric and Reality: Critical perspectives on educational technology. Proceedings ascilite Dunedin 2014 (pp. 629-633).

JISC Student Learning Analytics App

Source: Sclater, N. (2015) What do students want from a learning analytics app?. http://analytics.jiscinvolve.org/wp/2015/04/29/what-do-students-want-from-a-learning-analytics-app/

Situation Theory Question Data Representation Timing

Situation Theory Question Data Representation Timing

Planning for Libraries