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Learning Analytics at Large: the Lifelong Learning Network of 160, 000 Europe...Ralf Klamma
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Prof.ir. Ton Koonen (hoogleraar Technische Universiteit Eindhoven)
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Computational Thinking and Acting: Future Technologies for Future GenerationsJan Pawlowski
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Learning Analytics at Large: the Lifelong Learning Network of 160, 000 Europe...Ralf Klamma
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Intelligent tutoring systems (ITS) for online learningBrandon Muramatsu
Kurt VanLehn's presentation at Conversations on Quality: A Symposium on K-12 Online Learning hosted by MIT and the Bill and Melinda Gates Foundation, January 24-25, 2012, Cambridge, MA.
Science meets IT
Wat heeft de Nederlandse wetenschap eigenlijk in de naaste toekomst te bieden op het gebied van duurzaamheid. Discussie met Nederlandse topwetenschappers Prof.ir. Ton Koonen en
Prof. dr. ir. Gerard Smit.
Moderator: Roel Croes (mede-oprichter en bestuurslid Stichting GreenICT)
Prof.ir. Ton Koonen (hoogleraar Technische Universiteit Eindhoven)
Prof. dr. ir. Gerard Smit (hoogleraar Universiteit Twente)
Integrating an intelligent tutoring system into a virtual worldParvati Dev
The project goal was to provide effective training to medical professionals on the SALT Triage Protocol, and to improve communication between medical professionals and military during disaster situations.
Deep Learning: Towards General Artificial IntelligenceRukshan Batuwita
For the past several years Deep Learning methods have revolutionized the areas in Pattern Recognition, namely, Computer Vision, Speech Recognition, Natural Language Processing etc. These techniques have been mainly developed by academics, closely working with tech giants such as Google, Microsoft and Facebook where the research outcomes have been successfully integrated into commercial products such as Google image and voice search, Google Translate, Microsoft Cortana, Facebook M and many more interesting applications that are yet to come. More recently, Google DeepMind Technologies has been working on Artificial General Intelligence using Deep Reinforcement Learning methods, where their AlphaGo system beat the world champion of the complex Chinese game 'Go' in March 2016. This talk will present a thorough introduction to major Deep Learning techniques, recent breakthroughs and some exciting applications.
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Preparing future teachers to integrate technology in education: Ready for take-off?
Presentation @TIES2012, Barcelona
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EF-ODL - E-learning & Future Internet
1. E-learning & future Internet
New Vistas in Educational Technology
Prof. Dr. Piet Desmet
(K.U.Leuven/KULAK – itec)
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
2. 0. Say it with metaphors….
1. Beyond closed tasks: intelligent building blocks
2. Adaptivity: construction of learning environment
3. Mobile learning: device
4. Serious gaming: type of learning environment
5. Social software: contact is king
6. Integrated learning environment:
relationship c-learning & e-learning
7. The digital world: the new normal
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
3. 0. Future technologies, past didactics?
0. Say it images...
Say it with with metaphors….
0.1. Future technology & past pedagogy?
(technology-driven vs pedogogy-driven)
Metaphor 1: A new shop or just a new window?
Exercise environment for verb conjugation or vocabulary
Dos diskette -> Windows on cd-rom -> website -> LMS -> …
But: extra didactical features?
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
4. Technological progress
vs
Pedagogical innovation
-> Technology is no longer king….
Computerpower doubles every 2 years
The Penrose impossible stairs
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
5. Metaphor 2: Can we drive our four-wheel drive?
first: setting up multimedia language lab or e-learning centre
then: question of usefulness
-> need for digital didactics
(extra driving license)
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
6. 0.2. Blended learning: relationship c- & e-learning?
Metaphor 3: Build a garden house or renovate the entire house?
impact of e on c
Metaphor 4 : Cherry on the cake or javanais?
e –learning offered as extra feature (bonus)
or as integrated part of the offer
users: focus on engine or on driving comfort?
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
7. 1. Beyond closed tasks:
intelligent building blocks
1.1. Global typology: EDUMA-TIC
1.2. Approximate string matching and half-open learning tasks
1.3. Extension of the typology: supported open
(cf. legal cases online: Jurim@tic)
1.4. New half-closed types: select text
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
8. 1.1. Global typology of learning activities
# possible correct Predictability of Automated correction
answers answers
Closed exercise One Total Yes
half-open exercise Multiple High Yes
open exercise any Limited No
Closed: MC, drag-and-drop, fill in the blank,
ordering/matching, cross words, etc.
Half-open: translation
rephrasing
correction
dictation
www.edumatic.be
Open: essay-question
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
9. 1.2. Half-open: based on Approximate String Matching
cf. Vous dites?!
xxx = substitute
(…) = insert
(xxx) = delete
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
13. 1.3. Supported open questions: online legal cases (Jurim@tic)
• Open question: free input entered by learner
• Creation of feedback, based on:
Model answers
keyword matching
• white list (+ score)
– and
– if
– if then
• black list (0 or – score)
• negations (and range)
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
14. Supported open: frontend (legal case & input zone)
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
15. Supported open: back office – white list & black list
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
17. Supported open: adapt score and select feedback
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
18. Use of supported open in two steps:
– Step 1 : testing
as highlight and feedback tool (support), used by
teacher
-> manual check and eventual optimization
of black and white list
– Step 2 : learning
Use results of step 1 as exercise with automatic
correction and extensive feedback (without human
intervention)
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
19. 1.4. New half-closed exercise type: Select text
• Half-closed (possible answers are not given)
• Indicate keyword(s) in a sentence/ paragraph/ textmark
• Indicate the “range” for the selection (“range” as such does
not influence the score)
• feedback
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
20. select text: learning activity
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
21. select text: feedback
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
22. 2. Adaptivity: construction of the
learning environment
• Automobile industry
(e.g. adaptive lighting, adaptive windscreen wipers, adaptive cruise
control, etc.)
Time and place, weather conditions, traffic, etc.
= external/ contextual factors
• adaptive marketing
User profiles
= internal factors
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
23. Adaptive learning (cf. Brusilovsky)
(a) Adaptivity: to what?
- difficulty level of the tasks
- learner profile (prior knowledge, motivation, cognitive load, interests & preferences)
- context (time and place, device, etc.)
(b) What to adapt?
- adaptive form representation (form in which content is presented to the learner, e.g.
dynamically generated hypermedia pages)
- adaptive content representation (e.g. with or without learner support)
- adaptive curriculum sequencing (e.g. selection of items in function of difficulty level,
learner profile, etc.)
(c) How to implement adaptivity?
- full program control (via reasoning component ‘if.. then…’ rules)
- full learner control
- shared control
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
24. Proficiency level: A1 – C2
Motivation: 0.50, 0.60, 0.70, …
chance of good answer
Creation and selection Interests: themes
of learning objects
Database
Backoffice
anytime, anywhere
E-screening
prior FRONTEND
knowledge
(motivation, Adaptive Learning
interests) Environment
tracking & logging data
etc.
Reasoner
Adaptive selection
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
25. Demo Maribel Camtasia
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
26. 3. Mobile learning: device
Definition? Mobility of:
– technology: Handheld devices: Smartphone, cell phone,
MP3 players, tablet PC’s, etc.
– learning: anywhere & anytime freedom
– learner : “learner on the go”
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
27. Mobile learning
• Trends & topics in literature:
– Adaptation of learning activities to
• technology (cf. limitations of mobile devices)
• location contextualized learning
– “rethinking” of some pedagogical aspects leads to new
learning experiences:
• Informal learning: mobile learning situation vs. formal
classroom context
• Personalized learning: learner = at the centre
• Collaborative learning: emphasis on social interaction
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
28. Mobile assisted language learning (MALL)
• 2 types of MALL applications (based on Kukulska-Hulme &
Shield 2008):
– Content-related approach: applications based on
delivering content
– Design-related approach: applications specifically designed
for mobile context
• The potential of language learning has already been proven in
a number of studies
Examples of mobile language learning
vocabulary
grammar
pronunciation
listening (multimedia)
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
29. Content-delivery: vocabulary
• Thornton & Houser (2005):
– Learners receive vocabulary via e-mail on their
Smartphones
Results of study: higher learning effect than study of
vocabulary on paper BUT: learners studying on
Smartphone were prodded more often to study (via e-
mails)
• Kennedy & Levy (2008):
– Learners receive SMS with Italian vocabulary (every week)
Content delivery is still a teacher-led approach (vs. learner
who controls the learning process)
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
30. Design-based: Grammar
• Tense ITS (Cui & Bull 2005): exercises on verb conjugation,
adapted to learners’ location and context
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
31. Design-based: Pronunciation
• Uther et al. (2005): exercises for Japanese learners of English.
E.g. difficult sounds /r/ en /l/:
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
34. Demo: film franel.mobi
http://www.youtube.com/watch?v=wS579FeJB1g
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
35. Challenges
• More empirical research studies on the effectiveness of
mobile applications.
• Towards a pedagogy of mobile learning?
• Design of learning activities, based on empirical research and
a sound theoretical framework.
• Adaptation of learning materials to technological limitations
while still providing rich input.
• Explore the use of social interaction and collaborative learning
in a mobile learning environment.
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
36. MAPLE
• Mobile Adaptive Language Learning Experience
• Mobile and adaptive learning environment for
French
• Content:
– Listening comprehension
– Reading comprehension
– Vocabulary
– Spoken interaction
• Based on authentic text and video material
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
37. 4. Serious gaming: type of learning
environment
Added value?
A. Situated, authentic content/input (multimedia)
B. Authentic language learning tasks
C. Dynamic assessment (integrated, tiered feedback) (e.g.
Purushotma, Thorne, & Wheatley, 2008)
D. Social aspects: cooperation and negotiation with native
speakers in highly motivating gaming environment (e.g.
Thorne, 2008)
E. Higher retention of vocabulary (e.g. Neville et al, 2009)
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
39. Serious games: how to recognize one?
Elements of game (Prensky, 2001) Result (Prensky, 2001) Serious game?
1. Fun enjoyment, pleasure, motivation
2. Play intense involvement, absorbing
3. Rules structure procedural/basic knowledge
4. Goals & objectives motivation learning /learner goals
5. Interactive doing
6. Adaptive flow
7. Outcomes & feedback learning assessment
8. Win states ego gratification
9. Conflict/competition/challenge adrenaline 1-1, 1-other, 1-computer
10. Problem solving creativity
11. Interaction social groups 1-tutor, 1-other, 1-teacher
12. Representation & story emotion context
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
40. Situated Avatar-Based Immersive Learning (SAIL)
language as “resource”, as instrument to achieve certain goals
Mostly task-based, which requires a task-oriented
instructional design
Mini-games
Competition
Adaptivity (levels)
Time constraints
etc.
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
41. LLINGO
• Language Learning in an Interactive Game
Environment
Immersive language learning environment
Avatar-based
Task-based
Role-playing game
Recast as feedback
User-generated dialog system
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
53. 6. Level of integration in the curriculum
Need for Integrated Language Learning Environments (ILLE)
6.1. infrastructure: c- and e-environment are not in tune
no e possible in c-environment (cf. traditional classroom)
no c possible in e-environment (cf. PC room)
6.2. domains: e-learning: dominance of knowledge components
(lexicon, grammar, etc.)
c-learning: also skills
(reading, listening, writing, speaking)
6.3. content: Limited interaction between c- and e-content
6.4. coaching: e-learning often used for remedying and differentiation
-> not a central component of the didactical process
limited interaction between c-coach and e-coach
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
54. 6.1. Infrastructure: multimedia language lab
K.U.Leuven Kulak
30 networked Pc’s (learners): 5 trapezial tables with 6 computers each
(eye contact with central console is possible + possibilities to
communicate around the table)
Central console (coach): 2 Pc’s (one for the supervision of the lab and one
to select equipment) + data projector connected to second PC
Central communication area
Equipment: CD, DVD, television channels, document reader, 2 cameras (fix &
mobile camera), tape recorder
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
56. 4 layers of a language lab
1) PC class with extra features (placing, extra equipment, etc.)
2) Operating system for communication between central console and tables
(forward documents, take over learner PC’s, monitor learners, etc.)
3) Control system for learning content often LMS
LMS offers particular advantages:
- learners start applications from the LMS (central console ↓)
- teachers focus exclusively on their role as coach
- learners do not all have to work on the same materials
(autonomy↑)
- learners can continue their work outside the classroom sessions
4) Specific applications
- existing applications
- proper developments with authoring system
6.2. Domains: no exclusive e- or c-domains
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
57. 6.3. Content: optimal tuning of e- and c-content
At least 2 strategies:
a) c-content as central part of the learning materials
-> optimal tuning of e-content to c-content
cf. electronic manuals (CD-rom and web)
cf. use of authoring systems (Hot Potatoes, Edumatic, etc.)
b) e-content as central part of the learning materials
-> optimal tuning of c-content to e-content
cf. use complete language learning environments (learning platform,
authoring system, etc.)
cf. develop communicative language tasks for e-environment
Right now a) especially for schools, b) for vocational training
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
59. Deliverable 1 : e-learning modules – 62 hours e-learning
Generic modules Specific modules
Le patient et les examens Gynécologie/IVG/Maternité/Néonat
alogie
Situations délicates Orthopédie
L’anamnèse Oncologie
L’hospitalisation Radiologie
Les complications Radiothérapie
Le patient et les détails pratiques de Urologie
son hospitalisation
Médecine nucléaire
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
60. Deliverable 2: learning materials for c-learning
8x 3 hours
•For each e-learning module:
• Communicative activities
• Communicative drill exercices
•50 role plays
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
61. 6.4. Coaching
Basic principles:
• E-environment should allow for e-coaching
for the learner: intelligent feedback
partly learner-controlled environment, etc.
for the coach: reports based on tracking & logging data
• C-coach continues where e-environment left off
determined problems,
level of activity, etc.
And stimulates more intense use of the e-environment
via regular mails at intervals
via assignment of additional tasks in the e-environment
ideally e-coach = c-coach
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
62. 7. The digital world: the new normal
1994 2006
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
63. Digital (learning) is
the new normal
a must
trivial
mainstream
It’s not about technology. It’s about usage & added value!
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation
64. Some Key rules:
Zero Tolerance for Digital Failure
Good Enough Beats Perfect (cf. MP3, Skype, Netbooks, etc.)
Abandon Absolute Control
EFODL – 01.03.2011 – Piet Desmet (Hinssen 201: 119)
E-Brain. The @rt of Innovation
65. Contact
• Prof. Dr. Piet Desmet
Piet.Desmet@kuleuven-kortrijk.be
http://wwwling.arts.kuleuven.ac.be/franling_e/pdesmet/
• ITEC
www.kuleuven-kortrijk.be/itec
EFODL – 01.03.2011 – Piet Desmet
E-Brain. The @rt of Innovation