evaluation of linked data tools for learning analytics

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Using Linked Data in Learning Analytics LAK 2013 tutorial Hendrik Drachsler (@hdrachsler, drachsler.de) (CELSTEC, Open Universiteit Nederland, NL) Eelco Herder (L3S Research Center, DE) Mathieu d’Aquin (@mdaquin, mdaquin.net) (Knowledge Media InsHtute, The Open University, UK) Stefan Dietze (L3S Research Center, DE) EvaluaHon of Linked Data tools for Learning AnalyHcs

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Presentation given in the tutorial on 'Using Linked Data for Learning Analytics' at LAK13. http://portal.ou.nl/documents/363049/ca242534-8996-4fc7-8e42-073cc194c763http://creativecommons.org/licenses/by-nc-sa/3.0/Drachsler, H., Herder, E., d'Aquin, M., Dietze, S. (2013). Presentation given in the tutorial on 'Using Linked Data for Learning Analytics' at LAK2013, the Third Conference on Learning Analytics and Knowledge, Leuven, Belgium.

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Page 1: Evaluation of Linked Data tools for Learning Analytics

 

Using Linked Data in Learning Analytics LAK 2013 tutorial

Hendrik  Drachsler  (@hdrachsler,  drachsler.de)  (CELSTEC,  Open  Universiteit  Nederland,  NL)  Eelco  Herder  (L3S  Research  Center,  DE)  Mathieu  d’Aquin  (@mdaquin,  mdaquin.net)  (Knowledge  Media  InsHtute,  The  Open  University,  UK)  Stefan  Dietze    (L3S  Research  Center,  DE)  

EvaluaHon  of  Linked  Data  tools  for  Learning  AnalyHcs  

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2

Criteria: •  Damage •  Aggression •  Control •  Applause

probabilistic combination of – Item-based method – User-based method – Matrix Factorization – (May be) content-based method

What are the evaluation criteria of Robot Wars?

Example of scientific competitions

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RecSysTEL Evaluation criteria

Kirkpatrick model by Manouselis et al. 2010

Combine approach by Drachsler et al. 2008

1. Accuracy 2. Coverage 3. Precision 4. Recall

1. Reaction of learner 2. Learning improved 3. Behaviour 4. Results

1. Effectiveness of learning 2. Efficiency of learning 3. Drop out rate 4. Satisfaction

1. Accuracy 2. Coverage 3. Precision 4. Recall

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Manouselis, N., Drachsler, H., Vuorikari, R., Hummel, H. G. K., & Koper, R. (2011). Recommender Systems in Technology Enhanced Learning. In P. B. Kantor, F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (pp. 387-415). Berlin: Springer.

TEL RecSys::Review study

Conclusions:

Half of the systems (11/20) still at design or prototyping stage only 9 systems evaluated through trials with human users.

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The TEL recommender research is a bit like this...

We need to design for each domain an appropriate recommender system that fits the goals and tasks"

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6

Kaptain Koboldhttp://www.flickr.com/photos/kaptainkobold/3203311346/

“The performance results of different research efforts in recommender systems are hardly comparable.” (Manouselis et al., 2010)

TEL recommender experiments lack transparency and standardization. They need to be repeatable to test: •  Validity •  Verification •  Compare results

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7 7

Data-driven Research and Learning Analytics"

Hendrik Drachsler (a), Katrien Verbert (b)""(a) CELSTEC, Open University of the Netherlands"(b) Dept. Computer Science, K.U.Leuven, Belgium""

EATEL-

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"Drachsler, H., Bogers, T., Vuorikari, R., Verbert, K., Duval, E., Manouselis, N., Beham, G., Lindstaedt, S., Stern, H., Friedrich, M., & Wolpers, M. (2010). Issues and Considerations regarding Sharable Data Sets for Recommender Systems in Technology Enhanced Learning. Presentation at the 1st Workshop Recommnder Systems in Technology Enhanced Learning (RecSysTEL) in conjunction with 5th European Conference on Technology Enhanced Learning (EC-TEL 2010): Sustaining TEL: From Innovation to Learning and Practice. September, 28, 2010, Barcelona, Spain.""

TEL RecSys::Evaluation/datasets

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10

17

5. Dataset FrameworkFormal Datasets

Informal

Data A Data B Data C

Algorithms: Algoritmen A Algoritmen B Algoritmen C

Models: Learner Model A Learner Model B

Measured attributes: Attribute A Attribute B Attribute C

Algorithms: Algoritmen D Algoritmen E

Models: Learner Model C Learner Model E

Measured attributes: Attribute A Attribute B Attribute C

Algorithms: Algoritmen B Algoritmen D

Models: Learner Model A Learner Model C

Measured attributes: Attribute A Attribute B Attribute C

dataTEL evaluation model

42

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17

5. Dataset FrameworkFormal Datasets

Informal

Data A Data B Data C

Algorithms: Algoritmen A Algoritmen B Algoritmen C

Models: Learner Model A Learner Model B

Measured attributes: Attribute A Attribute B Attribute C

Algorithms: Algoritmen D Algoritmen E

Models: Learner Model C Learner Model E

Measured attributes: Attribute A Attribute B Attribute C

Algorithms: Algoritmen B Algoritmen D

Models: Learner Model A Learner Model C

Measured attributes: Attribute A Attribute B Attribute C

dataTEL evaluation model

42

In LinkedUp we have the opportunity to apply a structured approach to develop a

community accepted evaluation framework.

1.  Top-Down by a literature study 2.  Bottom-up by GCM with experts in the field

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Development  of  the  Evalua=on  Framework    

13

P1: Initialisation P2: Establishment and Evaluation

P3: Exit and Sustainability

M0-M6: Preparation M7-M18: Competition cycle M18-M24: Finalising

Literature review Cognitive Mapping

Group Concept Mapping

Documentation Dissemination

EF proposal Expert validation

Final release

of EF

Competition

Review of EF

Refinement of EF

New versio

n

Draft 3x

Practical experiences and refinement

25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

14

•  Group Concept Mapping resembles the Post-it notes problem solving technique and Delphi method

•  GCM involves participants in a few simple activities (generating, sorting and rating of ideas) that most people are used to.

GCM is different in two substantial ways: 1. Robust analysis (MDS and HCA) GCM takes up the original participants contribution and then quantitatively aggregate it to show their collective view (as thematic clusters) 2. Visualisation GCM presents the results from the analysis as conceptual maps and other graphical representations (pattern matching and go-zones).

25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

25 February 2013 15

•  innovations in way network is delivered •  (investigate) corporate/structural alignment •  assist in the development of non-traditional partnerships (Rehab with the

Medicine Community) •  expand investigation and knowledge of PSN'S/PSO's •  continue STHCS sponsored forums on public health issues (medicine

managed care forum) •  inventory assets of all participating agencies (providers, Venn Diagrams) •  access additional funds for telemedicine expansion •  better utilization of current technological bridge •  continued support by STHCS to member facilities •  expand and encourage utilization of interface programs to strengthen the

viability and to improve the health care delivery system (ie teleconference) •  discussion with CCHN

...organize the issues...

brainstorm

Work quickly and effectively under pressure

49

Organize the work when directions are

not specific. 39

Decide how to manage multiple

tasks. 20 Manage resources effectively.

4

sort

1 2

3 4

5

1 2

3 4

5

3 Scan a multitu

de of information and

decide what is important.

1 2

3 4

5

1 2

3 4

5

1 2

3 4

5

1 2

3 4

5

1 2

3 4

5

1 Manage tim

e effectively

2 Manage resources effectively.

3 Scan a multitu

de of information

and decide what is important.

4 Decide how to manage multiple tasks.

5 Organize the work when directions are not specific.

1 Manage tim

e effectively

Rating Sheet

rate

Hendrik Drachsler

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Group  Concept  Mapping    

16 25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

17 25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

18 25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

19

•  innovations in way network is delivered •  (investigate) corporate/structural alignment •  assist in the development of non-traditional partnerships (Rehab with the

Medicine Community) •  expand investigation and knowledge of PSN'S/PSO's •  continue STHCS sponsored forums on public health issues (medicine

managed care forum) •  inventory assets of all participating agencies (providers, Venn Diagrams) •  access additional funds for telemedicine expansion •  better utilization of current technological bridge •  continued support by STHCS to member facilities •  expand and encourage utilization of interface programs to strengthen the

viability and to improve the health care delivery system (ie teleconference) •  discussion with CCHN

Work quickly and effectively under

pressure 49

Organize the work when directions are not

specific. 39

Decide how to manage multiple

tasks. 20 Manage resources effectively.

4

sort

1 2

3 4

5

1 2

3 4

5

3 Scan a multitu

de of information and

decide what is important.

1 2

3 4

5

1 2

3 4

5

1 2

3 4

5

1 2

3 4

5

1 2

3 4

5

1 Manage tim

e effectively

2 Manage resources effectively.

3 Scan a multitu

de of information and

decide what is important.

4 Decide how to manage multiple tasks.

5 Organize the work when directions are not specific.

1 Manage tim

e effectively

Rating Sheet

rate

organize

Management Financing

Regionalization

STHCS as model

Community & Consumer Views

Information Services Technology

…”map” the issues...

25 February 2013 Hendrik Drachsler

Page 20: Evaluation of Linked Data tools for Learning Analytics

 

Group  Concept  Mapping    

20

Management Financing

Regionalization

Mission & Ideology

Community & Consumer Views

Information Services Technology

•  innovations in way network is delivered •  (investigate) corporate/structural alignment •  assist in the development of non-traditional partnerships (Rehab with the

Medicine Community) •  expand investigation and knowledge of PSN'S/PSO's •  continue STHCS sponsored forums on public health issues (medicine

managed care forum) •  inventory assets of all participating agencies (providers, Venn Diagrams) •  access additional funds for telemedicine expansion •  better utilization of current technological bridge •  continued support by STHCS to member facilities •  expand and encourage utilization of interface programs to strengthen the

viability and to improve the health care delivery system (ie teleconference) •  discussion with CCHN

Work quickly and effectively under

pressure 49

Organize the work when directions are not

specific. 39

Decide how to manage multiple

tasks. 20 Manage resources effectively.

4

sort

1 2

3 4

5

1 2

3 4

5

3 Scan a multitu

de of information and

decide what is important.

1 2

3 4

5

1 2

3 4

5

1 2

3 4

5

1 2

3 4

5

1 2

3 4

5

1 Manage tim

e effectively

2 Manage resources effectively.

3 Scan a multitu

de of information and

decide what is important.

4 Decide how to manage multiple tasks.

5 Organize the work when directions are not specific.

1 Manage tim

e effectively

Rating Sheet

rate

organize

Management Financing

Regionalization

STHCS as model

Community & Consumer Views

Information Services Technology

map

...prioritize the issues...

25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

21

D2.1 Evaluation Criteria and Methods

•  Invited 122 external experts •  56 experts contributed 212 indicators for the

evaluation framework •  After cleaning -> 108 indicators remained •  26 experts sorted on similarity in meaning •  26 experts rated on priority and

applicability

25 February 2013 Hendrik Drachsler

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Plus Minus Interesting rating

Look at and listen to the presentation of the Evaluation Framework Meanwhile…create notes on P: Plus M: Minus I: Interesting Write down everything that comes to your mind, generate as many ideas as possible, do not filter your ideas.

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Group  Concept  Mapping    

23

A point map

25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

24

A cluster map 15

25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

25

A cluster map 6

25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

26

Clusters’ labels

25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

27

Rating Map Priority

25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

28

Rating Map Applicability

25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

29 25 February 2013 Hendrik Drachsler

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Group  Concept  Mapping    

30 25 February 2013 Hendrik Drachsler

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WP2: Literature review

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WP2: Literature review

1. Literature review of suitable evaluation approaches and criteria 2. Review of comprising initiatives such as LinkedEducation, MULCE, E3FPLE and the SIG dataTEL

 

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WP2: Literature review

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34 25 February 2013 Hendrik Drachsler

This silde is available at:http://www.slideshare.com/Drachsler

Email: [email protected]: celstec-hendrik.drachslerBlogging at: http://www.drachsler.deTwittering at: http://twitter.com/HDrachsler

Many thanks for your attention!