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Script-Aware Monitoring Model: Using Teachers’ Pedagogical Intentions to guide Learning Analytics María Jesús Rodríguez-Triana, Alejandra Martínez Monés, Juan Ignacio Asensio Pérez and Yannis Dimitriadis TaPTA Workshop @ ECTEL 2012 18/09/2012 University of Valladolid Spain

Intentions to guide Learning Analytics

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Page 1: Intentions to guide Learning Analytics

Script-Aware Monitoring Model:

Using Teachers’ Pedagogical

Intentions to guide Learning

Analytics

María Jesús Rodríguez-Triana, Alejandra Martínez

Monés, Juan Ignacio Asensio Pérez and Yannis

Dimitriadis

TaPTA Workshop @ ECTEL 2012

18/09/2012

University of Valladolid Spain

Page 2: Intentions to guide Learning Analytics

Overview Context and motivation

Research goals

Script-aware monitoring model

Conclusions

2

Page 3: Intentions to guide Learning Analytics

Overview Context and motivation

Research goals

Script-aware monitoring model

Conclusions

3

Page 4: Intentions to guide Learning Analytics

Context

4

Research on CSCL & TEL Focus on (non-expert) teachers Focus on learning design / CSCL scripts Focus on higher education (but also

primary)

2011 2012 2013

M. J. Rodríguez thesis …

Middle stage

Page 5: Intentions to guide Learning Analytics

Context Computer Supported Collaborative Learning

5

EVALUATION

ENACTMENT

DESIGN

INSTANTIATION

Teacher-oriented approach

CSCL situation

life-cycle [Gómez-Sánchez et al., 2009]

Page 6: Intentions to guide Learning Analytics

One of the main concerns:

enhance collaboration

6

EVALUATION

ENACTMENT

DESIGN

INSTANTIATION

Scripting

Page 7: Intentions to guide Learning Analytics

However, despite using scripting

...

7

… eventualities may happen

Hmm,

we could try with a

brainstorming by

pairs ...

Having a plan is

not enough ...

Page 8: Intentions to guide Learning Analytics

Monitoring can help to know

what is happening

8

EVALUATION

ENACTMENT

DESIGN

INSTANTIATION

Monitoring

[Soller et al., 2005]

Page 9: Intentions to guide Learning Analytics

However, monitoring approaches

...

9 … often do not satisfy teachers' needs

Being aware of the participants

behaviour when diverse ICT tools are

being used in the classroom ...

is time consuming and error-prone

Ana

lysi

s ef

fort

2 students

1 tool

Amount of data

1 group

1 tool

whole class

1 tool

whole clase

several tools Teachers need a more

global view about what

is happening / has

happened

Page 10: Intentions to guide Learning Analytics

Synergies may appear when combining

scripting and monitoring ...

10

EVALUATION

ENACTMENT

DESIGN

INSTANTIATION

Monitoring

Scripting

… however, the integration is not straightforward (Martínez-Monés et al., 2011)

Design problems

Technological problems

Page 11: Intentions to guide Learning Analytics

Besides … the complexity of current CSCL

scenarios hinders orchestration

11

EVALUATION

ENACTMENT

DESIGN

INSTANTIATION

Distributed Learning

Environments (DLEs)

≠ Locations ≠ Interactivity types

≠ Social levels

(Dillenbourg et al., 2009)

Page 12: Intentions to guide Learning Analytics

Teachers need monitoring tools for

orchestration of blended, scripted CSCL

scenarios supported by DLEs

12

EVALUATION

ENACTMENT

DESIGN

INSTANTIATION

Monitoring

DLEs

Blended CSCL

scenarios

Scripting

Page 13: Intentions to guide Learning Analytics

Overview Context and motivation

Research goals and expected contributions

Script-aware monitoring model

Conclusions

13

Page 14: Intentions to guide Learning Analytics

Main Goal

Provide non-expert teachers

with design and enactment support

capable of linking pedagogical intentions with

monitoring needs

for orchestrating blended CSCL scenarios

in distributed learning environments

14

Page 15: Intentions to guide Learning Analytics

EVALUATION

ENACTMENT

DESIGN

INSTANTIATION

Monitoring

Scripting

Support non-expert teachers/designers to identify and include the monitoring issues

throughout the design process of CSCL activities. 1

Partial objectives

15

Page 16: Intentions to guide Learning Analytics

EVALUATION

ENACTMENT

DESIGN

INSTANTIATION

Monitoring

Scripting

Support non-expert teachers/designers to identify and include the monitoring issues

throughout the design process of CSCL activities. 1

Provide teachers with coarse-grained information about the evolution of the CSCL situation, based on

the constraints obtained from the script 2

Partial objectives

16

Page 17: Intentions to guide Learning Analytics

EVALUATION

ENACTMENT

DESIGN

INSTANTIATION

Monitoring

Scripting

Support non-expert teachers/designers to identify and include the monitoring issues

throughout the design process of CSCL activities. 1

Provide teachers with coarse-grained information about the evolution of the CSCL situation, based on

the constraints obtained from the script 2

Support the automation of the data gathering and integration

tasks in CSCL DLEs 3

Partial objectives

17

Page 18: Intentions to guide Learning Analytics

Expected contributions

18

EVALUATION

ENACTMENT

DESIGN

INSTANTIATION

Monitoring

Scripting

Monitoring-aware learning design process

Design-aware monitoring process

Architecture for monitoring DLEs

Page 19: Intentions to guide Learning Analytics

Expected contributions

19

EVALUATION

ENACTMENT

DESIGN

INSTANTIATION

Monitoring

Scripting

Monitoring-aware learning design process

Design-aware monitoring process

Script-aware monitoring model

Architecture for monitoring DLEs

Page 20: Intentions to guide Learning Analytics

Overview Context and motivation

Research goals

Script-aware monitoring model

Conclusions

20

Page 21: Intentions to guide Learning Analytics

Script-aware monitoring

model Method followed:

1. Analysis of modelling approaches

Goal: Identify elements relevant to scripting and monitoring

2. Pilot studies

Co-design experiences with teachers in real scenarios

Goals:

Identify attributes needed to answer teacher monitoring interests

Test the usefulness of the overall approach

21

Page 22: Intentions to guide Learning Analytics

Script-aware monitoring model

1. Review of modelling approaches

22

[Weinberger et al., 2009

Dillenbourg & Tchounikine, 2007

Fischer et al., 2007

Kollar et al., 2006]

Groups

Participants

Roles

Resources

Activities

CSCL scripting

Page 23: Intentions to guide Learning Analytics

Script-aware monitoring model

1. Review of modelling approaches

23

[Harrer et al., 2009] [Weinberger et al., 2009

Dillenbourg & Tchounikine, 2007

Fischer et al., 2007

Kollar et al., 2006]

Groups

Participants

Roles

Resources

Activities Actions

Computer Supported Collaboration Analysis Models

CSCL scripting

Page 24: Intentions to guide Learning Analytics

24

Roles Participants Groups

Resources Activities

play belong to

Actions

involve conform

are supported by

dependencies

Script-aware monitoring model

Elements

Page 25: Intentions to guide Learning Analytics

Script-aware monitoring model

2. Case-study

Co-design with a CSCL-design experienced teacher

Two loops of the CSCL life-cycle were enacted

Research goals:

Identify elements and attributes of the model

Collect initial impressions of the teacher after completing

the lifecycle

25

Page 26: Intentions to guide Learning Analytics

26

Roles Participants Groups

Resources Activities

play belong to

Actions

involve conform

are supported by

dependencies

Script-aware monitoring model

Attributes

Page 27: Intentions to guide Learning Analytics

27

Roles Participants Groups

Resources Activities

play belong to

Actions

involve conform

are supported by

dependencies

Script-aware monitoring model

Attributes

Page 28: Intentions to guide Learning Analytics

28

Roles Participants Groups

Resources Activities

play belong to

Actions

involve conform

are supported by

dependencies

Script-aware monitoring model

Attributes

Page 29: Intentions to guide Learning Analytics

29

Roles Participants Groups

Resources Activities

play belong to

Actions

involve conform

are supported by

dependencies

Script-aware monitoring model

Attributes

Page 30: Intentions to guide Learning Analytics

During the period set by the deadlines, and according to the social level, is there any evidence of the specified interactivity type from the monitored actions?

30

Roles Participants Groups

Resources Activities

play belong to

Actions

involve conform

are supported by

dependencies

The model in use

Page 31: Intentions to guide Learning Analytics

During the period set by the deadlines and according to the monitored actions, does the

evidence show that the participants are using the resources as expected?

31

Roles Participants Groups

Resources Activities

play belong to

Actions

involve conform

are supported by

dependencies

The model in use

Page 32: Intentions to guide Learning Analytics

Script-aware monitoring model The model in use

Example of feedback given to the teacher in the pilot

study: http://www.gsic.uva.es/~chus/MASUP

32

Page 33: Intentions to guide Learning Analytics

Script-aware monitoring model

Teachers’ feedback

Preliminary feedback from 3 pilot studies:

Specifying the attributes for monitoring required little extra

effort

The feedback helped to confirm that students were

following properly the script

Unexpected situations could be detected on time

Some “false alarms” were raised by the system, but this

was not considered to be a problem

The monitoring process enabled by the system was useful

and efficient

33

Page 34: Intentions to guide Learning Analytics

Overview Context and motivation

Research goals

Script-aware monitoring model

Final remarks

34

Page 35: Intentions to guide Learning Analytics

Monitoring-aware learning design

process

Design-aware monitoring

process

Script-aware monitoring model

Architecture for monitoring DLEs

Methodology

Design-based research

Evaluation

• Evaluation with experts

• Case studies in CSCL scenarios

Summary

Page 36: Intentions to guide Learning Analytics

16/09/2012 36

Next steps

Page 37: Intentions to guide Learning Analytics

Thank you very much!

Questions? Comments?

[email protected]