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 05 Updated Territory Map 06 Research Insights 07 Design Principles & Implications 08 Target Stakeholders 09 Opportunity Space 10 Next Steps
Addressing the Brief 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.
Narrowing the Scope After our initial territory map presentation, we narrowed our scope to teaching soft skills to students “As technology becomes entering the workforce. We recognize that the future more pervasive, the world of work is evolving due to automation in different of work becomes more industries. However, what is not ambiguous is the collaborative, education need for soft skills. Soft skills will be a key differentiator in “the world of work” as they are is more about teaching extremely difficult to automate. them how to respond to a fast-paced world of relentless change.” - Economist Intelligence Unit
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Research Objective Research current methods for learning soft skills and opportunities for AI in education in order to find gaps and opportunity areas.
Research Strategy
Research Methods Overview 11 Survey Respondents 8 Guest Lectures 7 Expert Interviews 2 Student Interviews Literature Reviews Comparative Analysis
Expert Interviews Interviewees Anita Woolley Marc Rettig Carolyn Rose Distinguished Adjunct Professor Language Associate Professor at the Professor of Practice CMU Technologies Institute CMU Tepper School of Business CMU Judy Brooks Stuart Candy Jeff Pipe Design Manager & Creative Director, Educational Associate Professor in the Lead, Philips Technology & Design School of Design CMU Eberly Centre CMU
Research Insights
Research Insights Overview Soft Skills Learning Methods AI & Technology Insight 01, 02, 03 Insight 04, 05, 06, 07 Insight 08, 09
Research Insights INSIGHT #01 On Soft Skills Communication skills are coveted and teachable “Some soft skills like resilience and Active listening and emotional Teamwork is the result of intelligence are ingredients of good communication. adaptability are harder good communication. to teach because they tied more closely to an individual’s personality and upbringing.” - Anita Woolley
Research Insights INSIGHT #02 On Soft Skills Increased efforts in teaching soft skills, but current applications are not engaging “ It's important to build a sense of relatedness among people.” Current methods lack active interaction. - Mark Rettig
Research Insights INSIGHT #03 On Soft Skills The current education system is not preparing students for industry “ Ti ere is great correlation to how people are paid and their soft Current school systems There is a misalignment makes students less between what industry skills.” self-reliant. expects and what - Anita Woolley schools provide in terms of soft skills.
Research Insights INSIGHT #04 On Learning Methods Learning is most effective when individual is continuously engaging with content “ Learning models should be oriented around continuous learning.” - Stacie Rohrbach
Research Insights INSIGHT #05 On Learning Methods Effective learning follows an established model. Explicit Goals. Assessment. Feedback. Reflection. “ Consensus from a panel or feedback from other people is a recognized way to assess soft skills” Learning goals explicitly Feedback should happen articulated at the outset as often as possible and - Anita Woolley benefit students’ learning. at multiple levels. Performance data can be motivating.
Research Insights INSIGHT #06 On Learning Methods People learn and are motivated in different ways “Connect with individuals based on Learners have different Failure can be demotivating. motivations and goals. Still, people learn the most by their background.” Personalized learning is reflecting on their failures. - Marsha Lovett essential for identifying an user’s mental models and blind spots.
Research Insights INSIGHT #07 On Learning Methods Environments significantly influence learning “Psychological safety is important for the group If the right environment is not Group settings are ideal for created, learning will not be practicing and interacting. members.” as effective. - Mark Rettig
Research Insights INSIGHT #08 On AI & Technology AI has the potential to facilitate human to human interactions. “ AI can be good for sca fg olding conversations.” AI can do more than just AI can identify gaps, personalization, it can breakdown, and - Carolyn Rose engage with a human’s weaknesses that humans cognitive, social and cannot recognize. emotive dimensions.
Research Insights INSIGHT #09 On AI & Technology AI can be a powerful feedback and assessment tool “ Consensus from a panel or feedback from other people is one recognized AI can be used to provide “smart” feedback. way to assess soft skills” - Anita Woolley
Design Principles
Design Principles & Implications 01 02 03 Create more Learning should be Promote continuous transparency between engaging and interactive learning schools and industry Research Insight: Research Insight: Research Insight: There is a misalignment between what Increased efforts in teaching soft Learning models should be oriented industry expects and what schools skills, but current applications are around continuous learning. provide in terms of soft skills. not engaging. Feedback should happen as often as Group settings are ideal for possible and at multiple levels. practicing and interacting.
Design Principles & Implications 04 05 06 Follow the established Cater to individuals Foster a conducive learning model: Explicit learning environment Goals. Assessment. Feedback. Reflection. Research Insight: Research Insight: Research Insight: Environments significantly Learners have different motivations Learning goals should be explicitly influence learning and goals. Personalized learning is articulated at the outset. essential for identifying an user’s Mission goals and clear assessment mental models and blind spots. rubrics at the beginning benefit student’ learning. Feedback loop are essential
Target Stakeholders CMU CCAC Pitt Private University Community College Public University 14,000 Students 43,000 Students 35,000 Students
Opportunity Space 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?
Next Steps Generative Research 2 Expert Interviews Graffiti Wall Pre/Post Confluence Workshop + Survey Cultural Probes Card Games
Thank You
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