Learning analytics and personalisation: Observe, think act

•

0 likes•757 views

A review of different ideas that fit into the generic framework of observing an environment, thinking about it and acting based on these observations.

Julien Carnot ﬂickr.com
Learning analytics and personalisation
Observe, Think, Act

LATTE Retreat
Sydney, November 23 2012

Abelardo Pardo (@abelardopardo)
www.slideshare.net/abelardo_pardo

Ribarnica ﬂickr.com
Observe

Think

Act

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 2

sjdunphy ﬂickr.com
Repeat in a feedback loop

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 3

Tulane Public Relations ﬂickr.com
Laparoscopic surgery

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 4

Nick_r ﬂickr.com
>300 Km/h

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 5

jbgeronimi ﬂickr.com
Fly by wire

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 6

Shaylor ﬂickr.com
Did they lea
r n?

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 7

libraryman ﬂickr.com
Journey to 10 years from now

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 8

Ribarnica ﬂickr.com
Observe

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 9

http://blog.stephenwolfram.com/2012/03/the-personal-analytics-of-my-life/
Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 10

heydrienne ﬂickr.com
Which variables to sample?

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 11

xJasonRogersx ﬂickr.com
You liked it, you payed for it!

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 12

Slaunger ﬂickr.com
Activity in LMS is only the tip

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 13

pvanees ﬂickr.com
Are you in the
LMS?

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 14

Pepe Ortuño ﬂickr.com
A clearly identiﬁed
environment within
your computer

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 15

qmnonic ﬂickr.com
Observe while they learn

Procedural activities

Collection of related events

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 16

orangebrompton ﬂickr.com
Fully conﬁgured

Partial observation

Only while you learn

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 17

Ribarnica ﬂickr.com
Observe

Think

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 18

Sean Dreilinger ﬂickr.com
Automatic discovery
of complementary
learning resources

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 19

IAN RANSLEY DESIGN + ILLUSTRATION ﬂickr.com
Measure engagement in
out-of-class activities

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 20

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 21

Just in time teaching

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 22

Browser add-in

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 23

Quick intuitive
feedback

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 24

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 25

Learning Glass (WS)

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 26

jfravel ﬂickr.com
Team dynamics.
Emotions?

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 27

Mood
changes

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 28

Ribarnica ﬂickr.com
Observe

Think

Act

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 29

VanessaO ﬂickr.com
Closer to the user

Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 30

Link Prediction Algorithms
Sean MacEntee ﬂickr.com

Graph: nodes = entities, edges = relationships

Similar nodes, similar connections
Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 31

Document Recommendation

Recommend D2 to U3 and U4
Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 32

Action Recommendation

Recommend Thread to U3
Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 33

The provision of student feedback is a challenging and resource intensive task for any instructor but at the same time it has the potential of significantly improve the overall quality of a learning experience. This challenge is magnified even further in the context of large student cohorts. Current initiatives such as the one captured by the OnTask project have explored how to use data about student engagement to support instructors of large student cohorts in this process. But despite the use of technology there are still important aspects to consider. What is the ideal tone of the message? Should they focus on the material? Assessments? Strategies? How often is idea to send these messages? In this talk we will cover some principles and examples of how instructors are addressing the problem.

Using data to provide personalised feedback at scale

Abelardo Pardo

The current state of higher education has increasing pressure over academics to offer high quality experience at scale. But what could be the actions that can be deployed to achieve this increase? What would be a good guiding principle to decide these actions? In this talk we explore first the possibility of using feedback and a coach mentality to provide student support, and then how data can help us scale that technique. There are examples of potential scenarios to deploy this at the level of a course, program or overall student experience.

Facilitating feedback processes at scale through personalised support actions

Abelardo Pardo

As education keeps advancing into the era of ubiquitous data availability there are certain challenges that are also increasing. The connection between data and direct improvements or benefit for students in terms of the overall quality of the learning experience is still an area under significant evolution. Learning analytics promises the use of data to improve learning experiences, but bridging the distance between widespread data availability and meaningful, effective and relevant actions informed by this data is still important. The current focus when considering the use of data tends to gravitate towards institutional interventions that target only a subset of the students (e.g. those at risk of dropping a course or abandoning the institution). But the student experience is much more complex and varied. In this talk we will describe OnTask, a platform and approach to facilitate the connection between data and actions in the context of a learning experience. The framework used by the tool contains a generic architecture to simplify the combination of multiple data sources under a single data structure with an intuitive design of rule-based personalized support actions that can be scaled to large student cohorts. OnTask approaches the problem from the benefits of feedback processes that rely on a conversation between students and instructors at the level of a course.

Providing personalised student support in blended learning at scale

Abelardo Pardo

Blended learning environments can be used to deploy strategies to increase student engagement in learning experiences. However, for these strategies to be effective, this increase in engagement requires an increase in student support which can pose serious challenges for large cohorts. The increase in technology mediation offers unprecedented opportunities to collect information about how students interact in a learning environment. Can this data be used to provide student support at scale? Is it feasible to blend data management techniques as part of a learning design to provide personalised suggestions to students? This talk will offer various practical examples of personalised student support actions in the context of a large flipped classroom.

Designing Engaging Learning Experiences in Digital Environments

Abelardo Pardo

Provision of personalized feedback at scale using learning analytics

Abelardo Pardo

The increasing presence of technology mediation offers an unprecedented opportunity to use detailed data sets about the interactions that occur while a learning experience is being enacted. Areas such as Learning Analytics or Educational Data Mining have explored numerous algorithms and techniques to process these data sets. Additionally, technology now offers the opportunity to increase the immediacy of interventions. However, not much emphasis has been placed on how to extract truly actionable knowledge and how to bring it effectively as part of a learning experience. In this talk, we will use the concept of feedback as the focus to establish a specific connection between the knowledge derived from data-analysis procedures and the actions that can be immediately deployed in a learning environment. We will discuss how there is a trade-off between low-level automatic feedback and high-level complex feedback and how technology can provide efficient solutions for the case of large or highly diverse cohorts.

Articulating the connection between Learning Design and Learning Analytics

Abelardo Pardo

Learning analytics is a discipline that uses data captured by technology during a learning experience to increase our level of understanding, increase its quality, and improve the environment in which it occurs. But these experiences need to be designed first. In this talk we start from the statement that there is no such thing as a neutral design. In the era of increasing technology mediation Learning experiences need to be designed considering the capacity to capture data, the possibility of making sense and derive knowledge from the data, and the need to act on that knowledge. In this talk we will explore some initiatives to make these connections explicit in a learning design. Using a flipped learning experience, we will explore how to embed data and data analysis as part of the design tasks.

Increasing Student Engagement with Personalised Feedback

Abelardo Pardo

The role of data in the provision of feedback at scale

Abelardo Pardo

Technology mediation allows to capture comprehensive data sets about interactions occurring in learning experiences. Although these data sets have the potential of increasing the insight on how learning occurs, their use strongly depends on two aspects: the data has to be properly situated in the learning design, and the insights derived need to be translated into actions. In this talk we will explore how to establish this connection for the case of the provision of feedback. We will approach the problem from the point of view of intelligence amplification, that is, how data can support instructors to provide better support to learners through feedback. The talk will discuss some preliminary results from the Ontasklearning.org project.

Designing Effective Flipped Learning Experiences

Abelardo Pardo

The role of data in the provision of feedback at scale

Abelardo Pardo

Exploring hands-on multidisciplinary STEM with Arduino Esplora

Abelardo Pardo

What is sustained innovation anyway?

Abelardo Pardo

One of the objectives of the recently created Faculty of Engineering and IT Education Innovation unit is to promote "sustained innovation" in engineering educaiton. Innovation is a word that gets thrown around quite frequently and it is assumed we all know what it means. In recent times the term appears in more complex expressions such as "sustained innovation" or "culture of innovation". Organisations in general are facing challenges to go from stating the intent of adopting a culture of innovation and actually achieving it. Engineering and IT education is no exception. In fact, there are recent studies that point to the disparity of perception among academics about what exactly means innovation in the context of learning and teaching engineering and IT disciplines. In this session we will discuss several elements that need to be present for innovation to occur and collaboratively distil some conditions that would provide the right climate so that learning and teaching innovation flourishes in the faculty.

The role of institutional data in Learning Analytics

Abelardo Pardo

Feedback at scale with a little help of my algorithms

Abelardo Pardo

Generating Actionable Predictive Models of Academic Performance

Abelardo Pardo

Exploring the relation between Self-regulation Online Activities, and Academi...

Abelardo Pardo

Data2U: Scalable Real time Student Feedback in Active Learning Environments

Abelardo Pardo

Designing Flipped Learning Experiences

Abelardo Pardo

Scaling the provision of feedback from formative assessment

Abelardo Pardo

BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...

Nguyen Thanh Tu Collection

Normal Labour/ Stages of Labour/ Mechanism of Labour

Wasim Ak

Recently uploaded

BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...

Nguyen Thanh Tu Collection

Normal Labour/ Stages of Labour/ Mechanism of Labour

Wasim Ak

Group Presentation 2 Economics.Ariana Buscigliopptx

ArianaBusciglio

A Survey of Techniques for Maximizing LLM Performance.pptx

thanhdowork

The approach at University of Liverpool.pptx

Jisc

Guidance_and_Counselling.pdf B.Ed. 4th Semester

Atul Kumar Singh

Francesca Gottschalk - How can education support child empowerment.pptx

EduSkills OECD

1.4 modern child centered education - mahatma gandhi-2.pptx

JosvitaDsouza2

Embracing GenAI - A Strategic Imperative

Peter Windle

Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction. This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.

Thesis Statement for students diagnonsed withADHD.ppt

EverAndrsGuerraGuerr

Chapter -12, Antibiotics (One Page Notes).pdf

Kartik Tiwari

special B.ed 2nd year old paper_20240531.pdf

Special education needs

Marketing internship report file for MBA

gb193092

CACJapan - GROUP Presentation 1- Wk 4.pdf

camakaiclarkmusic

The Accursed House by Émile Gaboriau.pptx

DhatriParmar

Best Digital Marketing Institute In NOIDA

deeptiverma2406

Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification. for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.

STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC

kimdan468

Azure Interview Questions and Answers PDF By ScholarHat

Scholarhat

Acetabularia Information For Class 9 .docx

vaibhavrinwa19

Operation Blue Star - Saka Neela Tara

Balvir Singh

Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup. The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.

Recently uploaded (20)

BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...

Normal Labour/ Stages of Labour/ Mechanism of Labour

Group Presentation 2 Economics.Ariana Buscigliopptx

A Survey of Techniques for Maximizing LLM Performance.pptx

The approach at University of Liverpool.pptx

Guidance_and_Counselling.pdf B.Ed. 4th Semester

Francesca Gottschalk - How can education support child empowerment.pptx

1.4 modern child centered education - mahatma gandhi-2.pptx

Embracing GenAI - A Strategic Imperative

Thesis Statement for students diagnonsed withADHD.ppt

Chapter -12, Antibiotics (One Page Notes).pdf

special B.ed 2nd year old paper_20240531.pdf

Marketing internship report file for MBA

CACJapan - GROUP Presentation 1- Wk 4.pdf

The Accursed House by Émile Gaboriau.pptx

Best Digital Marketing Institute In NOIDA

STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC

Azure Interview Questions and Answers PDF By ScholarHat

Acetabularia Information For Class 9 .docx

Operation Blue Star - Saka Neela Tara

Learning analytics and personalisation: Observe, think act

1. Julien Carnot ﬂickr.com Learning analytics and personalisation Observe, Think, Act LATTE Retreat Sydney, November 23 2012 Abelardo Pardo (@abelardopardo) www.slideshare.net/abelardo_pardo

2. Ribarnica ﬂickr.com Observe Think Act Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 2

3. sjdunphy ﬂickr.com Repeat in a feedback loop Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 3

4. Tulane Public Relations ﬂickr.com Laparoscopic surgery Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 4

5. Nick_r ﬂickr.com >300 Km/h Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 5

6. jbgeronimi ﬂickr.com Fly by wire Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 6

7. Shaylor ﬂickr.com Did they lea r n? Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 7

8. libraryman ﬂickr.com Journey to 10 years from now Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 8

9. Ribarnica ﬂickr.com Observe Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 9

10. http://blog.stephenwolfram.com/2012/03/the-personal-analytics-of-my-life/ Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 10

11. heydrienne ﬂickr.com Which variables to sample? Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 11

12. xJasonRogersx ﬂickr.com You liked it, you payed for it! Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 12

13. Slaunger ﬂickr.com Activity in LMS is only the tip Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 13

14. pvanees ﬂickr.com Are you in the LMS? Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 14

15. Pepe Ortuño ﬂickr.com A clearly identiﬁed environment within your computer Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 15

16. qmnonic ﬂickr.com Observe while they learn Procedural activities Collection of related events Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 16

17. orangebrompton ﬂickr.com Fully conﬁgured Partial observation Only while you learn Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 17

18. Ribarnica ﬂickr.com Observe Think Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 18

19. Sean Dreilinger ﬂickr.com Automatic discovery of complementary learning resources Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 19

20. IAN RANSLEY DESIGN + ILLUSTRATION ﬂickr.com Measure engagement in out-of-class activities Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 20

21. Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 21

22. Just in time teaching Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 22

23. Browser add-in Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 23

24. Quick intuitive feedback Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 24

25. Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 25

26. Learning Glass (WS) Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 26

27. jfravel ﬂickr.com Team dynamics. Emotions? Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 27

28. Mood changes Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 28

29. Ribarnica ﬂickr.com Observe Think Act Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 29

30. VanessaO ﬂickr.com Closer to the user Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 30

31. Link Prediction Algorithms Sean MacEntee ﬂickr.com Graph: nodes = entities, edges = relationships Similar nodes, similar connections Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 31

32. Document Recommendation Recommend D2 to U3 and U4 Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 32

33. Action Recommendation Recommend Thread to U3 Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 33

34. Julien Carnot ﬂickr.com Learning analytics and personalisation Observe, Think, Act LATTE Retreat Sydney, November 23 2012 Abelardo Pardo (@abelardopardo) www.slideshare.net/abelardo_pardo Abelardo Pardo Learning analytics and personalisation Observe, Think, Act 34

Learning analytics and personalisation: Observe, think act

Recommended

Recommended

More Related Content

More from Abelardo Pardo

More from Abelardo Pardo (20)

Recently uploaded

Recently uploaded (20)

Learning analytics and personalisation: Observe, think act