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Harry Day�Matteo Di Benedetti

Institutional Inertia & Digital Revolution

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Objective

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  • Identify actions we can take (as institutions) to improve our responsiveness to rapidly evolving digital technologies.

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HE Role in Society

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  • Current HE ensures Engineering graduates are ready to….

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HE Role in Society

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  • Current HE ensures Engineering graduates are ready to….
    • Work with current state of the art tech
    • Engineer something, deliver a product
    • Depth not breadth?
    • Holistic/societal systems thinking?

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HE Role in Society

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  • Current HE ensures Engineering graduates are ready to….
    • Work with current state of the art tech
    • Engineer something, deliver a product
    • Depth not breadth?
    • Holistic/societal systems thinking?

  • Established practice may no longer be effective, relevant, competitive, or aiding societal good.

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HE Role in Society

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  • Current HE ensures Engineering graduates are ready to….
    • Work with current state of the art tech
    • Engineer something, deliver a product
    • Depth not breadth?
    • Holistic/societal systems thinking?

  • Established practice may no longer be effective, relevant, competitive, or aiding societal good.

Reactive enough?

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HE Role in Society

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  • Current HE ensures Engineering graduates are ready to….
    • Work with current state of the art tech
    • Engineer something, deliver a product
    • Depth not breadth?
    • Holistic/societal systems thinking?

  • Established practice may no longer be effective, relevant, competitive, or aiding societal good.
    • Climate change?

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HE Role in Society

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  • Current HE ensures Engineering graduates are ready to….
    • Work with current state of the art tech
    • Engineer something, deliver a product
    • Depth not breadth?
    • Holistic/societal systems thinking?

  • Established practice may no longer be effective, relevant, competitive, or aiding societal good.
    • Climate change?
    • Digital revolution & AI?

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HE Role in Society

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  • Current HE ensures Engineering graduates are ready to….
    • Work with current state of the art tech
    • Engineer something, deliver a product
    • Depth not breadth?
    • Holistic/societal systems thinking?

  • Established practice may no longer be effective, relevant, competitive, or aiding societal good.
    • Climate change?
    • Digital revolution & AI?

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Two Provocations

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HE is not agile enough to accommodate digital revolution.

AI can replace most parts of an academic’s role.

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Discussion Questions

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1a) What is Agile in the HE context?

1b) How much does institutional inertia conflict with an Agile approach?

1c) Actions?

2a) Risks/opportunities of AI in HE?

2b) How much should we embrace or resist academics being replaced by AI, individualised learning systems and analytics?

2c) Actions?

HE is not agile enough to accommodate digital revolution.

AI can replace most parts of an academic’s role.

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Discussion Questions

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HE is not agile enough to accommodate digital revolution.

AI can replace most parts of an academic’s role.

1a) What is Agile in the HE context?

1b) How much does institutional inertia conflict with an Agile approach?

1c) Actions?

2a) Risks/opportunities of AI in HE?

2b) How much should we embrace or resist academics being replaced by AI, individualised learning systems and analytics?

2c) Actions?

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Agile Approach

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What is Agile? (recap)

  • Reflecting and rapidly respond to change (rather than follow a plan)
  • Success is a useful working product (rather than arbitrary documentation)
  • Collaborate (rather than negotiate)
  • Valuing people (rather than processes)

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Agile Approach

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What is Agile? (recap)

  • Reflecting and rapidly respond to change (rather than follow a plan)
  • Success is a useful working product (rather than arbitrary documentation)
  • Collaborate (rather than negotiate)
  • Valuing people (rather than processes)

…additional prompts on your table

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Odd# Tables

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1) How much does institutional inertia conflict with an Agile approach?

Discuss as you see fit, but here is some food for thought:

  • Perhaps we are agile enough already? If not, how can we be more agile?
  • To what extent should we give up established (perhaps rigorous yet slow) systems to allow agility?
  • Do institutions need to be more agile in a world of rapidly accelerating advances?
  • Can we teach Graduates to be Agile while remaining non-agile as institutions?

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Even# Tables

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2) How much should we embrace or resist academics being replaced by AI, individualised learning systems and analytics?

Discuss as you see fit, but here is some food for thought:

  • Is it too early to decide?
  • How can we prepare for future unseen changes, and advances?
  • Are there elements of academic roles which cannot be replaced? Or elements that shouldn’t be replaced?
  • Is a revolution in HE inevitabile?...or will it be gradual and readily manageable?

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Activity

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Outputs

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On your group’s paper/jambord

  • Record your key discussion points
  • Key actions/recommendations

Get ready to share a 30 second summary

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Outputs

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On your group’s paper/jambord

  • Record your key discussion points
  • Key actions/recommendations

Get ready to share a 30 second summary

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Discuss & Answer

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HE is not agile enough to accommodate digital revolution.

AI can replace most parts of an academics role.

15 mins (Paper/Jamboard)

1a) What is Agile in the HE context?

1b) How much does institutional inertia conflict with an Agile approach?

1c) Actions?

2a) Risks/opportunities of AI in HE?

2b) How much should we embrace or resist academics being replaced by AI, individualised learning systems and analytics?

2c) Actions?

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Ideas Swap

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30 Second Summaries

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Odd# Tables

  • How much does institutional inertia conflict with an Agile approach?
  • Actions?

Even# Tables

  • How much should we embrace or resist academics being replaced by AI, individualised learning systems and analytics?
  • Actions?

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Follow-up Discussion

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Room Discussion

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With the remaining time we have

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Closing

remarks

https://www.sheffield.ac.uk/engineering/cee

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Digital/AI Prompts

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Consider the following

  • Big Data & Analytics
  • AI & Machine learning
  • Physical, Cognitive, & Emotional Labour
  • Cognitive technologies (autonomous decision making)
  • IoT
  • Hyperconnectedness (communication networks)
  • Cyber-physical systems
  • AR, VR & Digital Twins

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Agile Prompts

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Consider the following

  • Flexible, fast, and continuous improvement (effective)
  • Working in small phases rather than one big project
  • Each phase guided by customer feedback
  • Embraces changing requirements to ensure product is useful
  • Constant comms. between developers and stakeholders
  • Success metric is value to the customer (‘working software’ rather than documentation)
  • Sustainable pace for staff
  • Work Smart not Hard (essentials only, minimize unnecessary work)
  • Self-organising teams - more ownership (less management)
  • Routine reflection and adjustment