Exploratory Research TEAM ADA Melody Ma Devika Singh Joseph Hines - - PowerPoint PPT Presentation

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Exploratory Research TEAM ADA Melody Ma Devika Singh Joseph Hines - - PowerPoint PPT Presentation

Exploratory Research TEAM ADA Melody Ma Devika Singh Joseph Hines Denise Nguyen Scott Dombkowski Table of Contents 01 Addressing the Brief 02 Narrowing the Scope 03 Research Methods Overview 04 Research Objective & Strategy


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Exploratory Research

Melody Ma Devika Singh Joseph Hines Denise Nguyen Scott Dombkowski

TEAM ADA

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01 Addressing the Brief
 02 Narrowing the Scope
 03 Research Methods Overview 
 04 Research Objective & Strategy 05 Updated Territory Map 06 Research Insights 07 Design Principles & Implications 08 Target Stakeholders 09 Opportunity Space 10 Next Steps

Table of Contents

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Design a product, service or solution that demonstrates the value and differentiation of AI in learning, teaching, and education.

01 Personalized Education

Supporting different learning styles, background, and motivations.

02 Interactive Education

Fostering a more effective and safe learning environment.

03 Opportunities in AI

Leveraging AI to pick up on nuances that humans can’t.

Addressing the Brief

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After our initial territory map presentation, we narrowed our scope to teaching soft skills to students entering the workforce. We recognize that the future

  • f work is evolving due to automation in different
  • industries. However, what is not ambiguous is the

need for soft skills. Soft skills will be a key differentiator in “the world of work” as they are extremely difficult to automate.

Narrowing the Scope

“As technology becomes more pervasive, the world

  • f work becomes more

collaborative, education is more about teaching them how to respond to a fast-paced world of relentless change.”

  • Economist Intelligence Unit
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3

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Research current methods for learning soft skills and opportunities for AI in education in order to find gaps and opportunity areas.

Research Objective

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Research Strategy

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Research Methods Overview

11 Survey Respondents
 8 Guest Lectures
 7 Expert Interviews
 
 2 Student Interviews Literature Reviews Comparative Analysis

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Expert Interviews

Anita Woolley Marc Rettig Carolyn Rose

Associate Professor at the Tepper School of Business CMU Distinguished Adjunct Professor of Practice CMU Professor Language Technologies Institute CMU

Judy Brooks Stuart Candy Jeff Pipe

Director, Educational Technology & Design Eberly Centre CMU Associate Professor in the School of Design CMU Design Manager & Creative Lead, Philips

Interviewees

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Research Insights

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Research Insights

Overview Soft Skills Learning Methods AI & Technology

Insight 01, 02, 03 Insight 04, 05, 06, 07 Insight 08, 09

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Research Insights

On Soft Skills

Communication skills are coveted and teachable

INSIGHT #01

Teamwork is the result of good communication. Active listening and emotional intelligence are ingredients of good communication. “Some soft skills like resilience and adaptability are harder to teach because they tied more closely to an individual’s personality and upbringing.”

  • Anita Woolley
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Research Insights

On Soft Skills

Increased efforts in teaching soft skills, but current applications are not engaging

INSIGHT #02

Current methods lack active interaction. “It's important to build a sense of relatedness among people.”

  • Mark Rettig

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Research Insights

On Soft Skills

The current education system is not preparing students for industry

INSIGHT #03

Current school systems makes students less self-reliant. There is a misalignment between what industry expects and what schools provide in terms

  • f soft skills.

“Tiere is great correlation to how people are paid and their soft skills.”

  • Anita Woolley

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Research Insights

On Learning Methods

Learning is most effective when individual is continuously engaging with content

INSIGHT #04

“Learning models should be oriented around continuous learning.”

  • Stacie Rohrbach

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Research Insights

On Learning Methods

Effective learning follows an established model. Explicit Goals. Assessment. Feedback. Reflection.

INSIGHT #05

Feedback should happen as often as possible and at multiple levels. Performance data can be motivating. Learning goals explicitly articulated at the outset benefit students’ learning. “Consensus from a panel

  • r feedback from other

people is a recognized way to assess soft skills”

  • Anita Woolley

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Research Insights

On Learning Methods

People learn and are motivated in different ways

INSIGHT #06

Failure can be demotivating. Still, people learn the most by reflecting on their failures. Learners have different motivations and goals. Personalized learning is essential for identifying an user’s mental models and blind spots. “Connect with individuals based on their background.”

  • Marsha Lovett

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Research Insights

On Learning Methods

Environments significantly influence learning

INSIGHT #07

If the right environment is not created, learning will not be as effective. Group settings are ideal for practicing and interacting. “Psychological safety is important for the group members.”

  • Mark Rettig

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Research Insights

On AI & Technology

AI has the potential to facilitate human to human interactions.

INSIGHT #08

AI can identify gaps, breakdown, and weaknesses that humans cannot recognize. AI can do more than just personalization, it can engage with a human’s cognitive, social and emotive dimensions. “AI can be good for scafgolding conversations.”

  • Carolyn Rose

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Research Insights

On AI & Technology

AI can be a powerful feedback and assessment tool

INSIGHT #09

AI can be used to provide “smart” feedback. “Consensus from a panel

  • r feedback from other

people is one recognized way to assess soft skills”

  • Anita Woolley

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Design Principles

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Create more transparency between schools and industry

Design Principles & Implications

Learning should be engaging and interactive Promote continuous learning

Research Insight:

Increased efforts in teaching soft skills, but current applications are not engaging. Group settings are ideal for practicing and interacting.

Research Insight:

Learning models should be oriented around continuous learning. Feedback should happen as often as possible and at multiple levels.

Research Insight:

There is a misalignment between what industry expects and what schools provide in terms of soft skills.

01 02 03

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Follow the established learning model: Explicit

  • Goals. Assessment.
  • Feedback. Reflection.

Design Principles & Implications

Cater to individuals Foster a conducive learning environment


Research Insight:

Learners have different motivations and goals. Personalized learning is essential for identifying an user’s mental models and blind spots.

Research Insight:

Environments significantly influence learning

Research Insight:

Learning goals should be explicitly articulated at the outset. Mission goals and clear assessment rubrics at the beginning benefit student’ learning. Feedback loop are essential

04 05 06

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Target Stakeholders

CMU Pitt
 CCAC Private University 14,000 Students Public University 35,000 Students Community College 43,000 Students

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PREVIOUS

How might we leverage AI to address the evolving nature of work. Through the development of soft skills amongst students entering the workforce?

UPDATED


How might we leverage artificial intelligence to facilitate human to human interactions that promote the development of communication skills amongst students entering the workforce?

Opportunity Space

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Next Steps Generative Research

2 Expert Interviews

Graffiti Wall


Pre/Post Confluence Workshop + Survey Cultural Probes
 Card Games 


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Thank You