Seamless learning and learning analytics - Marcus Specht - OWD13

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Sessieronde 2 Zaal: Rotterdam Hall Titel: Seamless learning and learning analytics Spreker: Marcus Specht (Open Universiteit)

Technologies for
Seamless Learning Analytics
prof. dr. marcus specht
Centre for Learning Sciences and Technologies
Open Universiteit Nederland
marcus.specht@ou.nl
twitter, flickr, facebook: marcuspecht

!1

#1 THERE ARE SEAMS IN
T O D AY ’ S L E A R N I N G S U P P O R T

SEAMS IN LEARNING SUPPORT 
(WONG ET AL, 2009)

• (MSL1) Formal and informal learning;
• (MSL2) Personalized and social learning;
• (MSL3) Across time;
• (MSL4) Across locations;
• (MSL7) Combined use of multiple device types;
• …

4

#2 TRENDS AND OPPORTUNITIES
OF NEW TECHNOLOGIES

#lots of data and more sensors

ensors, up
wearable s
http://quantiﬁedself.com/

6

#display technology can create
feedback loops ...

Goetz, T. (2011). Harnessing the Power of Feedback Loops | Magazine.
wired.com. Retrieved August 22, 2011, from http://www.wired.com/magazine/
2011/06/ﬀ_feedbackloop/5/
7

#visualisation and LA can
support personal sense making

Heer, J., Shneiderman, B. (2012). Interactive Dynamics for Visual Analysis. Communications of
the ACM. Vol 55. No 04. pp. 45-54.
8

#potenial van Learning Analytics  
SURF SIG GCM Study

10
years

10
years
3.76

Teacher
empowerment

3.88
Teacher
empowerment

Teacher Empowerment
Research Design

Research

Learning
Design

Research

Learning
Design

Personalisation

Personalisation

Feedback Performance
Personalisation
Feedback

Performance

Feedback

Performance

Students
empowerment

Students
empowerment

Student Empowerment
Management Economics

Management

Economics

Management

Economics

Risks

Risks
3.10

r
=
0.99

9

2.77

Risks

# 3 F E AT U R E S O F T E C H N O L O G I E S
AND HUMAN LEARNING AND
COGNITION

Mobile, Seamless, Ubiquitous

Technology

Personalised and Context-Aware
Sensors, BigData, and Analytics
…

enhanced
Learning
Awareness

Curiosity

Episodes
!12

...

Reﬂection

# 4 L I N K E D D ATA A N D
SEAMLESS LEARNING
A N A LY T I C S

M E TA D ATA I S U S E D T O M A K E D ATA S PA C E S E X P L O R A B L E

Linked Data …

M U LT I - D E V I C E O U T P U T

personal and social views ...

#5 SOME TECHNOLOGIES FOR
C O N T E X T- A W A R E ,
C R O S S - C O N T E X T,
PERSONALIZED,
AND FLEXIBLE OUTPUT

ARLearn Framework,VR and AR
http://code.google.com/p/arlearn/

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ies
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!

!

!

ARLearn, Mozilla Badges, Signage System
http://code.google.com/p/arlearn/

t,

tpu
i-o u
lt
d 
an
mu
tion
o rt
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upp
ts
g am
tex
con
osscr

Personal Context Notiﬁcations

an d
tion
iﬁca
not
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ext
mp
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e sa
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pe r
ex

Learning
Analytics
Framework

Greller,
W.

Drachsler,
H.
(2012).Translating
Learning
into
Numbers:
Toward
a
Generic
Framework
for
Learning
Analytics,
In:
JETS

15/3:
Special
Issue
on
Learning
Analytics
(edt.
George
Siemens)

!

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.

SO …

• #1 There are seams between the different learning

contexts, location, time, social context, …

• #2 There are opportunities with new technologies that

are open, ubiquitous, context-aware, and
personalized.

• …

SO …

• #3 Seamless Learning Analytics should

support ubiquitous open content access,
sensor data aggregation, adaptation (to
context and person), and ﬂexible
aggregation, visualization and output
indicators (ambient displays).

The document summarizes information about the Centre for Learning Sciences and Technologies (CELSTEC) at the Open University of the Netherlands. CELSTEC conducts research on contextualized mobile learning and aims to advance learning for work, school, home and on the move. It employs over 110 staff from various countries. CELSTEC operates three programs focused on learning and cognition, learning networks, and learning media. It also manages an open innovation laboratory for experiments and implementation of learning solutions.

Mobile leaning nik amanatidis

Nikos Amanatidis

The document discusses several frameworks for conceptualizing mobile learning, including: 1. Koole's FRAME model which considers the overlap between the learner, social, and device aspects of mobile learning. 2. Activity theory which views learning as situated within a social context and influenced by mediating tools/artifacts. Mobile devices can expand the tools available for learning activities. 3. The sociocultural theory of learning which emphasizes that learning occurs through communication and collaboration between learners, teachers, and experts. Mobile devices can facilitate these interactions. The document analyzes how these frameworks apply to different contexts of mobile learning like museums, field studies, and problem-based learning.

GloCALL 2015 keynote November Agnes Kukulska-Hulme

Institute of Educational Technology

Designing and Evaluating a Contextual Mobile Application to Support Situated ...

HCI Lab

SKERG Seminar on Aug 18, 2015 titled, "Designing and Evaluating a Contextual Mobile Application to Support Situated Learning" by Dr. Abeer Ali Alnuaim, the Vice Chair of the Natural Sciences and Engineering Department at KSU. Synopsis: This research emerged from seeking to identify ways of getting Human-Computer Interaction Design students into real world environments, similar to those in which they will eventually be designing, thus maximising their ability to identify opportunities for innovation. In helping students learn how to become proficient and innovative designers and developers, it is crucial that their ‘out of the classroom’ experience of the environments in which their designs will be used, augments and extends in-class learning. The aim of this research is to investigate the process of designing a mobile learning application in a blended learning model. This app was designed to support students in a design task and to develop their independent learning and critical thinking skills, as part of their Human-Computer Interaction coursework. It explores the challenges in implementing and deploying such an app in the learning context. A number of evaluations were conducted to assess the design, usability and effectiveness of the app. Promising results show that the app has helped students in developing critical skills for designing technology. However, there were a number of concerns discovered regarding the context of use of a mobile device, including usability of interface elements and acceptability of using the app in a public place.

Seamless Learning Technologies

Marcus Specht

This document discusses seamless learning and technologies that can support it. It notes that there are currently seams between formal and informal learning, across locations and time, and between personal and social learning. New technologies like mobile and ubiquitous sensors allow for learning that is context-aware, personalized, and crosses contexts. The document proposes that seamless learning analytics could help by supporting open content access, sensor data aggregation, adaptation to context and individuals, and flexible output displays to help make learning more seamless.

Mindful Learning Technologies

Marcus Specht

Research2.0

Erik Duval

This document summarizes a presentation on dealing with information overload in research. It discusses how technologies like mobile apps, social networks, and information visualization tools can help researchers filter large amounts of information and make new connections. Specific tools presented include More!, a social discovery tool, TiNYARM a reference manager, and ResearchTable for interactive sensemaking of authorship networks. The presentation argues that open access to data and publications as well as open science practices can help address information overload challenges in research.

SXSW2017 @NewDutchMedia Talk: Exploration is the New Search

Lora Aroyo

This document summarizes a presentation on dealing with information overload in research. It discusses tools like More!, TiNYARM, ResearchTable, and Muse that were created to help researchers filter information, increase awareness of new research, and make sense of large amounts of data. The presentation emphasizes opening up research through open access, open data, and open science initiatives to improve collaboration and public understanding of science.

Network Mapping & Data Storytelling for Beginners

Renaud Clément

Emerging Technologies

Andrew Wesolek

The document discusses emerging and existing technologies that can meet the needs of a library's community. It outlines how libraries can become part of the digital landscape by using technologies like social media, Wikipedia, Flickr, and Facebook to do digital outreach and meet researchers where they are online. The document also discusses short and long term goals for using emerging hardware technologies like smartphones to enhance user experience and aggregate metadata.

Differentiation

Joseph Lewczuk

This document discusses how one teacher has used technology to differentiate instruction to meet the needs of diverse students. It provides examples of using Moodle, eportfolios, and Web 2.0 tools to develop independent, critical thinkers who can effectively use technology both in and out of the classroom. Specific tools mentioned include Moodle grouping and learning menus, eportfolios for integrating learning across subjects, and Web 2.0 tools like Bubbl.us, GoAnimate, Tagxedo, Oskope, VoiceThread, and SurveyMonkey.

Visualization for Software Analytics

Margaret-Anne Storey

This document discusses visualization for software analytics and identifies three key trends: 1) developers moving from solo coders to social coders, 2) software development shifting from code-centric to data-centric, and 3) visualization becoming ubiquitous rather than standalone. It provides examples of visualizations for software design, code, dynamic behavior, architecture, and human activities. It discusses how visualization can provide insights, support tasks, and communicate knowledge. It also outlines opportunities and challenges for visual analytics and ubiquitous visualization in software engineering.

Learning analytics

Erik Duval

The document discusses learning analytics, which involves collecting data about learner activities and using it to improve learning. Specifically, it summarizes: 1) Learning analytics traces what learners do online to better understand the learning process and help learners. 2) Inspiration comes from self-tracking tools that quantify personal data to gain self-knowledge and awareness. 3) Issues include data ownership, privacy, capturing meaningful traces, and evaluating the impact of learning analytics.

TECHNOLOGY

acan16

This document provides an overview of technology use in education from the past to future possibilities. It discusses how technology has progressed from early uses of word processors to create worksheets to today's interactive whiteboards and online learning platforms. Teachers have increasingly incorporated more technology into their teaching since the late 20th century with formal training opportunities. The future of education involves more ubiquitous and distributed learning through online platforms that provide lifelong learning opportunities for students and teachers.

Research2.0

Erik Duval

This document summarizes Erik Duval's presentation on dealing with information overload as a researcher. Some of the key challenges discussed include keeping up with the large volume of publications, ensuring relevant papers are not missed, knowing who is engaging with your own work, and identifying potential collaborators. Duval then describes several tools and approaches he and his colleagues have developed to help address these issues, including the social discovery tool More!, the reference manager TiNYARM, visualizations of author networks like ResearchTable, and geospatial visualizations of collaboration networks. The presentation concludes by encouraging attendees to try out these tools and collaborate on related work.

The Elusive Nature of Software Documentation

Margaret-Anne Storey

Keynote at ICSME 2017, Shanghai, China. Title: The Elusive Nature of Software Documentation and Why Understanding How Knowledge Flows Matters Abstract: Many developers consider writing documentation to be a painful and under-appreciated activity, yet the same developers often complain that a lack of documentation significantly hampers their work. Other developers argue that documentation is passé as developers more readily curate and exchange knowledge through networked platforms such as Slack, Twitter, and Stack Overflow. And while the savvy modern developer will know who to follow, who to ask, and where to look when they need software knowledge, finding the right knowledge at the right time remains a serious development bottleneck for many. Recognizing that these platforms contain golden nuggets of useful information, we see tremendous effort being directed at designing methods for capturing, mining, extracting, and distributing software knowledge, but will they succeed if we lack a good understanding of how knowledge flows in software development projects and communities? Through this talk, I will discuss the elusive nature of documentation and why I believe documentation will always be hard to define, capture, distribute, keep up to date, and to find, and I will argue that we should focus more on understanding, supporting, and amplifying knowledge flow in distributed software development.

ESWC 2015 - EU Networking Session

Erik Mannens

The document describes the EU Project Networking Session 2015 that was held on June 3rd 2015 in Portoroz, Slovenia. The session provided an opportunity for EU projects to connect, discuss their research, and identify opportunities for collaboration. The session included one minute "madness presentations" from various projects, a poster session to showcase projects, and thematic tables to facilitate discussions. The purpose was to enable knowledge sharing, technology transfer, and potential future collaborations between EU projects.

UCL Bartlett Real Estate Institute - digital futures

Duncan Wilson

Extracting Social Network Data and Multimedia Communications from Social Medi...

Shalin Hai-Jew

Future of Scholarly Communications

David De Roure

1. The document discusses shifts occurring in scholarly communications, including the end of traditional journal articles and rise of research objects and social machines. 2. Research objects allow research outputs like data, code and workflows to be cited and curated in a machine-readable way. 3. Social machines refer to new forms of collaborative online research processes empowered by technology and humans working together. 4. The future of scholarly communications involves greater use of research objects and social machines to make research more reproducible, reusable and open.

Week 3

Roxy Pilly

The document discusses principles for designing reusable learning objects and human-computer interaction. It describes learning objects as small instructional components that can be reused, describing programming languages like Scratch and Squeak that allow creating them. It also discusses universal design principles for education, ensuring representation, expression and engagement for all learners.

Towards the Design of Intelligible Object-based Applications for the Web of T...

Pierrick Thébault

Desafios e Oportunidades derivados da Explosao de Dados (Big Data)

Francisco Pires

Николаос Мавридис. От Интерактивных роботов к Человеку-машинному облаку

Skolkovo Robotics Center

Ljc

drljcooper

This article proposes a new e-portfolio system called PrPl that addresses key problems with current systems. PrPl leverages semantic indexing and cloud computing to allow users to manage their own data across applications in a sustainable way. It uses an "intelligent agent" or "butler" to track, verify, and intelligently present a user's digital artifacts stored across the cloud based on semantics. The authors argue this system could provide a customizable, responsive, and intelligent e-portfolio solution for lifelong learning. However, the article does not fully address issues of privacy, security, and cultural implications of relying on cloud infrastructure.

Combining Multimedia and Semantics (LACNEM2010)

Oscar Corcho

OpenML Tutorial: Networked Science in Machine Learning

Joaquin Vanschoren

Many sciences have made significant breakthroughs by adopting online tools that help organize, structure and mine information that is too detailed to be printed in journals. In this presentation, we introduce OpenML, a place for machine learning researchers to share and organize data in fine detail, so that they can collaborate more effectively with others to tackle harder problems. We discuss what benefits it brings for machine learning research, individual scientists, as well as students and practitioners. We show practical use cases and APIs for interacting with the system from machine learning software.

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