streamlining technology-driven orchestration in formal learning spaces

1
Streamlining Technology-driven Orchestration in Formal Learning Spaces Lighton Phiri 1 · Christoph Meinel 2 · Hussein Suleman 1 1 Department of Computer Science, University of Cape Town, South Africa 2 Hasso Plattner Institute, University of Potsdam, Germany Motivation Educators can be more effective when supported with orchestration—the management of learning activities. Orchestration is Flawed Technology-driven orchestration is challenging [1] and, arguably, ad hoc. It is multi-faceted and not standardised. Proposed Solution Streamline orchestration by facilitating organisation of learning activities. Organisation could lead to effectiveness. Streamlined Orchestration Workflow Streamlining orchestration takes the form of a software orchestration workbench which facilitates the integration and centralised access to tools and services required to orchestrate learning activities. Orchestration workflow procedure involves four steps. Step 1: Activities Define activities hierarchical structures for modules and sessions. Step 2: Resources Organised learning resources (e.g. PDFs, videos and URLs). Step 3: Sequencing Create sequence chain to define orchestration order of activities. Step 4: Orchestration Playback saved sequence chain during learning session. Pre-session management is performed in steps 1–3 and session management is performed in step 4. Study 1: Orchestrating a Flipped Class Flipped class case study conducted using prototpye Workbench to assess evaluate approach in authentic educational setting [4]. Organisation Timer Feature Activity Listing 100 50 0 50 100 Percentage Strongly Disagree Disagree Neutral Agree Strongly Agree Figure 1. Learners’ Experience Survey Results Noticeable neutral flow of activities and potential positive effect on learners’ learning experience. Study 2: Peer-led Guided Orchestration Controlled study involving 24 Tutors, for first year Computer Science courses, aimed at measuring orchestration load. Frustration Effort Performance Temporal Demand Mental Demand Physical Demand 0 20 40 60 80 100 Mean Raw Rating NASA-TLX Subscales Figure 2. Sequencing Workload Ratings NASA-TLX used to mea- sure orchestration load. High values imply high workload. Width of bars reflects importance of weight. Height of bars represents magnitude of rating. Results suggest minimal workload requirement during scripting. Study 3: Ad Hoc vs. Organised Orchestration Controlled study conducted with 61 educators in order to compare ad hoc orchestration and organised orchestration [3]. Workbench prototype UI simulated organised orchestration. PortableApps simulated ad hoc orchestration. Superfluous Superfluous Too Too Self- Self- Oriented Oriented Self- Self- Oriented Oriented Too Too Task- Task- Oriented Oriented Neutral Neutral Task- Task- Oriented Oriented Desired Desired Pragmatic Quality (PQ) Hedonic Quality (HQ) PortableApps Workbench Figure 3. Portfolio Presentation 6.74 5.57 PortableApps Workbench 0 2 4 6 8 10 Mean Task Time (Min) Technique Figure 4. Time on Tasks -3 -1 1 3 PQ HQ-I HQ-S ATT Dimensions Mean Score PortableApps Workbench Figure 5. Dimension Means AttrakDiff 2 used an measure- ment instrument. Organised orchestration is: Desirable and 21% faster. Correlated with improved user experience. Organised orchestration more effective than ad hoc. Study 4: Reusable Orchestration OERs Practical usage scenario assessed through implementation of reusable virtual orchestration appliances (rVOA) [2]. rVOA player: Flexible offline UI workflow component. rVOA repository: Scalable online repository platform. Feasibility of integrating orchestration packages with OERs. Acknowledgements This work is funded, in part, by the Hasso Plattner Institute. Bibliography [1] Dillenbourg, P. Design for Classroom Orchestration. Computers & Education. 69:485–492, November 2013. [2] Parker, N. and Valentyn, M. Reusable Virtual Orchestration Appliances. Retrieved from https://goo.gl/qNOF7V [3] Phiri, L., Meinel, C., and Suleman, H. Ad hoc vs. Organised Orchestration. In 8 th IEEE International Conference on Technology for Education. December 2016. [4] Phiri, L., Meinel, C., and Suleman, H. Streamlined Orchestration. Computers & Education. 95:231–238, April 2016.

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Page 1: Streamlining Technology-driven Orchestration in Formal Learning Spaces

Streamlining Technology-drivenOrchestration in Formal Learning

SpacesLighton Phiri1 · Christoph Meinel2 · Hussein Suleman1

1Department of Computer Science, University of Cape Town, South Africa2Hasso Plattner Institute, University of Potsdam, Germany

MotivationEducators can be more effective whensupported with orchestration—themanagement of learning activities.

Orchestration is FlawedTechnology-driven orchestration ischallenging [1] and, arguably, ad hoc.It is multi-faceted and not standardised.

Proposed Solution

Streamline orchestration by facilitatingorganisation of learning activities.Organisation could lead to effectiveness.

Streamlined Orchestration WorkflowStreamlining orchestration takes the form of a softwareorchestration workbench which facilitates the integration andcentralised access to tools and services required to orchestratelearning activities.

Orchestration workflow procedure involves four steps.

Step 1: Activities

– Define activitieshierarchical structures formodules and sessions.

Step 2: Resources

– Organised learningresources (e.g. PDFs,videos and URLs).

Step 3: Sequencing

– Create sequence chain todefine orchestration orderof activities.

Step 4: Orchestration

– Playback saved sequencechain during learningsession.

Pre-session management is performed in steps 1–3 andsession management is performed in step 4.

Study 1: Orchestrating a Flipped Class

Flipped class case study conducted using prototpye Workbenchto assess evaluate approach in authentic educational setting [4].

Organisation

Timer Feature

Activity Listing

100 50 0 50 100Percentage

Strongly Disagree Disagree Neutral Agree Strongly Agree

Figure 1. Learners’ Experience Survey Results

Noticeable neutral flow of activities and potential positive effecton learners’ learning experience.

Study 2: Peer-led Guided Orchestration

Controlled study involving 24 Tutors, for first year ComputerScience courses, aimed at measuring orchestration load.

Frustration

Effort

Performance

Temporal Demand

Mental Demand

Physical Demand

0 20 40 60 80 100

Mean Raw Rating

NA

SA

-TL

XS

ubsc

ales

Figure 2. Sequencing Workload Ratings

NASA-TLX used to mea-sure orchestration load.

– High values imply highworkload.

– Width of bars reflectsimportance of weight.

– Height of barsrepresents magnitude ofrating.

Results suggest minimal workload requirement during scripting.

Study 3: Ad Hoc vs. Organised Orchestration

Controlled study conducted with 61 educators in order tocompare ad hoc orchestration and organised orchestration [3].

– Workbench prototype UI simulated organised orchestration.

– PortableApps simulated ad hoc orchestration.

SuperfluousSuperfluous

TooTooSelf-Self-

OrientedOrientedSelf-Self-

OrientedOriented

TooTooTask-Task-

OrientedOriented

NeutralNeutral Task-Task-OrientedOriented

DesiredDesired

Pragmatic Quality (PQ)

Hed

onic

Qua

lity

(HQ

)

PortableApps Workbench

Figure 3. Portfolio Presentation

6.74

5.57

PortableApps

Workbench

0 2 4 6 8 10

Mean Task Time (Min)

Tec

hniq

ue

Figure 4. Time on Tasks

-3

-1

1

3

PQ HQ-I HQ-S ATT

Dimensions

Mea

nS

core

PortableApps Workbench

Figure 5. Dimension Means

AttrakDiff 2 used an measure-ment instrument.Organised orchestration is:

– Desirable and 21% faster.

– Correlated with improveduser experience.

Organised orchestration more effective than ad hoc.

Study 4: Reusable Orchestration OERs

Practical usage scenario assessed through implementation ofreusable virtual orchestration appliances (rVOA) [2].

– rVOA player: Flexible offline UI workflow component.

– rVOA repository: Scalable online repository platform.

Feasibility of integrating orchestration packages with OERs.

Acknowledgements

This work is funded, in part, by the Hasso Plattner Institute.

Bibliography

[1] Dillenbourg, P. Design for Classroom Orchestration.Computers & Education. 69:485–492, November 2013.

[2] Parker, N. and Valentyn, M. Reusable Virtual OrchestrationAppliances. Retrieved from https://goo.gl/qNOF7V

[3] Phiri, L., Meinel, C., and Suleman, H. Ad hoc vs. OrganisedOrchestration. In 8th IEEE International Conference onTechnology for Education. December 2016.

[4] Phiri, L., Meinel, C., and Suleman, H. StreamlinedOrchestration. Computers & Education. 95:231–238, April2016.