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    human-centered

    Explore " human-centered" with insightful episodes like "Best of: How do we educate a new kind of engineer?", "Dan Lyons: How to Improve Your Life By Shutting Up", "AI in Education with Ryan Baker", "S2: E1 Innovation vs. The Human Element" and "Menschzentrierung durch UX Research" from podcasts like ""The Future of Everything", "Guy Kawasaki's Remarkable People", "Learning Futures", "Lead On with Greg & Mark" and "menschzentriert"" and more!

    Episodes (18)

    Best of: How do we educate a new kind of engineer?

    Best of: How do we educate a new kind of engineer?

    A perspective on the need for diversity and empathy in the engineering profession.  As we enter a new academic year, it’s an opportune time to think about how we’re educating the next generation of engineers. Russ's conversation in 2020 with Sheri Sheppard, an emeritus professor of mechanical engineering and founder of the Designing Education Lab at Stanford, sheds light on this important topic. 

    Professor Sheppard shares about ways that will help us educate engineers who not only are technically trained but also bring empathy into their work.

    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces the episode and the importance of engineering education in society.

    (00:00:46) The Core of Engineering

    Russ Altman discusses the overarching themes of engineering education: problem-solving, scientific grounding, social context, and design.

    (00:02:11) The Need for Diversity in Engineering

    Introduction to Professor Sheri Sheppard and her efforts in expanding engineering education. Discussion on the lack of diversity in the engineering profession and its implications. The influence of engineers on everyday life and the need for diverse perspectives in product design.

    (00:06:51) Beyond Traditional Sciences

    Reflecting on the historical shift from a focus on sciences to incorporating design and social sciences in engineering education.

    (00:09:11) Human-Centered Engineering

    Examining the importance of considering human factors, ergonomics, and cognitive aspects in engineering solutions.

    (00:10:35) Student Challenges and Responses

    Addressing student responses to the expanded approach in engineering education. Discussing the importance of learning to interpret qualitative data and the openness to learning in various fields.

    (00:12:26) Diverse Perspectives in Engineering Education

    Russ Altman discusses the expansion of engineering education beyond traditional sciences and mathematics. Professor Sheri Sheppard emphasizes the importance of empathy, ethics, and diverse perspectives in engineering problem-solving. Exploring the challenges of integrating these principles into the curriculum and industry practices.

    (00:14:42) Industry Response and Cultural Change

    How companies are recognizing the positive impact of diversity on innovation and bottom-line performance. Challenges faced by companies in integrating diversity into their organizational culture and recognizing it in job descriptions.

    (00:17:00) Challenges Faced by Trailblazers

    Professor Sheri Sheppard shares her experiences as a woman engineer in the automotive industry. Navigating the feelings of isolation and strategies for finding allies and support within organizations.

    (00:18:34) Industry Perspectives and Evidence of Diversity Impact

    The evidence supports the positive impact of diverse teams on innovation. Challenges faced by companies in recognizing diversity efforts and integrating them into performance evaluations.

    (00:21:50) Empowering Change Agents

    Strategies for individuals to become change agents within their organizations. Introduction to the concept of "Tempered Radicals" and navigating organizational change while maintaining professional integrity.

    (00:25:35) Building Relationships and Gaining Respect

    The challenges faced by young and female engineers in gaining respect and credibility in their roles. Encouraging students to find allies and create a supportive network in the workplace.

    (00:26:58) Navigating Workplace Dynamics

    Advice for students entering the workforce as potential change agents. The significance of finding allies and creating spaces for diverse voices to be heard. Developing soft skills, such as networking and communication, as essential tools for success in engineering careers.

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads or Twitter/X

    Connect with School of Engineering >>> Twitter/X

    Dan Lyons: How to Improve Your Life By Shutting Up

    Dan Lyons: How to Improve Your Life By Shutting Up

    How can we improve our communication skills and speak more intently in an endlessly noisy world? Join the conversation on the latest episode of Remarkable People with Dan Lyons.

    13:08 to 14:06 - Dan Lyons is a fan of Guy Kawasaki
    39:17 to 39:56 - People’s account of working at Amazon + Teaser
    39:56 to 40:19 - CTA + Rejoiner
    48:48 to 49:32 - Introducing Dan’s wife/Phone Call
    54:04 to 54:57 - Outro

    Remember to follow the show, so you don't miss upcoming episodes!

    ********************

    Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Neil deGrasse Tyson, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable.

    With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People.

    Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable.

    Episodes of Remarkable People organized by topic: https://bit.ly/rptopology

    Listen to Remarkable People here: https://wavve.link/remarkablepeople

    Text to get notified of new episodes: https://joinsubtext.com/guy

    Like this show? Please leave us a review -- even one sentence helps! Consider including your Twitter handle so we can thank you personally!

    Thank you for your support; it helps the show!

    AI in Education with Ryan Baker

    AI in Education with Ryan Baker

    Sean and Punya welcome special guests Dr. Scotty Craig (ASU) and Dr. Ryan Baker (Penn) to discuss rapidly evolving field of Artificial Intelligence (AI), machine learning, and what implications it may have for education

    Guest Information

    Dr. Scotty Craig
    Is an associate professor of human systems engineering within The Polytechnic School of the Ira A. Fulton Schools of Engineering at Arizona State University. Dr. Craig is a learning engineer and has investigated research areas of emotion and learning, multimedia learning, and intelligent tutoring systems (ITS)in both laboratory and applied classroom settings. Scotty is also a fellow member of our own AI in Education Learning Futures Collaborative here at ASU.

    Dr. Ryan Baker
    Is a professor of education and computer science at the University of Pennsylvania, and also directs the Penn Center for Learning Analytics.

    Dr. Baker researches how students use and learn from educational games, intelligent tutors, and other kinds of educational software. Drawing on the fields of educational data mining, learning analytics, and human–computer interaction, he develops methods for mining the data that come out of the interactions between students and educational software. He then uses this information to improve our understanding of how students respond to educational software, and how these responses influence their learning.

    Topics discussed:

    • UNESCO publications on Artificial Intelligence in education
    • Maturity of AI in Education from both a technical perspective and practical / pedagogical perspective
    • Parsing student behaviors in moocs and other environments, including one that caught our eye, what Dr. Baker called “wtf” behaviors
    • Calls for future developments of AI to be grounded in a human-centered approach
    • Algorithmic bias, challenges, pitfalls and opportunities
    • How does a system like ChatGPT from Open AI impact the possible future of online learning and behavior?
    • Big picture idea, What are we gaining and losing in seeing ourselves as essentially streams of data?

    Resources and Links:
    -Chiou, E. K., & Lee, J. D. (2021). Trusting automation: Designing for responsivity and resilience. Human factors, 0018720821100999

    -Penn Center for Learning Analytics

    -Algorithmic Bias in Education

    -U Penn Learning Analytics (Online) Master of Science in Education Degree Program

     

    MS in Human Systems Engineering with a Concentration in Intelligent Systems at ASU

    The Intelligent Systems Concentration provides students with a Master of Science in Human Systems Engineering that prepares them with the skills needed to improve our world by creating innovative technology-based systems that integrate into human environments. Our faculty provide a guided experience with training in theory, development, and evaluation. For more information, check out our website or email  Dr. Craig

    Link: https://poly.engineering.asu.edu/hse/ms/

     

    The Learning Futures Podcast is jointly produced by Enterprise Technology and the Mary Lou Fulton Teachers College at Arizona State University.

    Menschzentrierung durch UX Research

    Menschzentrierung durch UX Research
    In dieser Podcastfolge von „menschzentriert“ wird es nicht nur mensch- sondern auch teamzentriert bei uns! Denn heute sind zwei absolute UX Research Expertinnen bei uns, die wunderbarerweise auch Teil des interfacewerk Teams sind! Anna und Laura sprechen fast täglich mit Nutzenden und finden ihre Bedürfnisse heraus, um digitale Produkte zu entwickeln, die Menschen helfen, einen positiven Impact haben und mit denen Unternehmen am Ende auch ihre Businessziele erreichen.

    Sie kennen die Fallstricke, wenn es darum geht Nutzende zu befragen. Sie beantworten heute einige brennende Fragen rund um einen guten UX Research  – von der Planung, zum Durchführung bis hin zur Auswertung und dem Umgang mit tricky Situationen.

    UX Research ist die Methode für menschzetrierte Projekte und Produkte. Doch wie wird der UX Research selbst menschzentriert? Diese und weitere spannende Themen beantworten wir in der aktuellen Podcastfolge mit Anna Matzat, Anna Stumper und Laura Fiona Holder!

    Diversity and Inclusion with Brian McComak

    Diversity and Inclusion with Brian McComak

    Brian McComak is a diversity & inclusion consultant, speaker, author and facilitator with over 20 years of experience in D&I, HR, company culture, change management, internal communications, and employee experience. He is the founder and CEO of Hummingbird Humanity, a consulting firm that cultivates and champions inclusive workplace cultures and human-centered leadership.

    After the interview, look for Brian’s upcoming book, “Humanity in the Workplace: A Blueprint for Building an Inclusive & Equitable Company Culture”.

    Connect with Brian

    • Website: https://hummingbirdhumanity.com/
    • Instagram: https://www.instagram.com/brianmccomak
    • LinkedIn: https://www.linkedin.com/in/bmccomak

    During the interview, we discuss…

    • why we need to reframe representation
    • how to bring humanity to the workplace
    • infusing DEI (diversity, equity and inclusion) in HR
    • visible vs invisible identities
    • how to increase representation

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    Build Trust and Generate Customer Leads with Amelia Sordell of Personal Branding

    Build Trust and Generate Customer Leads with Amelia Sordell of Personal Branding

    Amelia Sordell started her branding business, Klowt, by branding human beings and not just companies. In this podcast with Amelia, she discusses how she got her business up and running through skills and techniques for building confidence, accepting rejection, and focusing on personal branding. Amelia's human-centered marketing approach has generated real results in a surprisingly short time! In our discussion, she explains how she has made the marketing world work for her, instead of the other way around! 

    Here's what you'll learn:

    • How to gain the confidence you need to succeed in the workplace or in starting your own business.
    • How Amelia created the mindset she needed to start her successful business, Klowt.
    • What’s important in a human-centered marketing environment. 
    • Techniques geared towards being more comfortable in the marketing and branding industry, such as confidence and resilience to rejection. 

    If you’re interested in learning more about Amelia Sordell or Klowt, visit Klowt’s website or her social media!

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    Learn more about our host Lara Schmoisman, CEO & Founder of The Darl and Marketing Simplificado

    Instagram: @laraschmoisman

    Facebook: @LaraSchmoisman

    LinkedIn: @laraschmoisman

    Twitter: @LaraSchmoisman





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    The Internet of Nature: applying emerging technologies to improve the health of urban ecosystems, with Nadina Galle

    The Internet of Nature: applying emerging technologies to improve the health of urban ecosystems, with Nadina Galle

    In this episode, we are joined by Nadina Galle (PhD), award-winning ecological engineer and entrepreneur. 

    We talk about how she applies emerging technologies to improve the health of urban ecosystems, through the “Internet of Nature”: a framework she developed during her PhD under the supervision of Dr Francesco Pilla (UCD Spatial Dynamics Lab). 

    We also discuss Green City Watch, an open-source geoAI initiative, which Nadina co-founded. Green City Watch's flagship product, TreeTect, is an open-source urban tree detection algorithm to help create AI-enabled tree inventories.

    Head to Head: The Even Bigger ML Smackdown!

    Head to Head: The Even Bigger ML Smackdown!

    Yannick and David’s systems play against each other in 500 games. Who’s going to win? And what can we learn about how the ML may be working by thinking about the results?

    See the agents play each other in Tic-Tac-Two!


    For more information about the show, check out pair.withgoogle.com/thehardway/.


    You can reach out to the hosts on Twitter: @dweinberger and @tafsiri

    Enter tic-tac-two

    Enter tic-tac-two

    David’s variant of tic-tac-toe that we’re calling tic-tac-two is only slightly different but turns out to be far more complex. This requires rethinking what the ML system will need in order to learn how to play, and  how to represent that data.

    For more information about the show, check out pair.withgoogle.com/thehardway/.


    You can reach out to the hosts on Twitter: @dweinberger and @tafsiri

    Give that model a treat! : Reinforcement learning explained

    Give that model a treat! : Reinforcement learning explained

    Switching gears, we focus on how Yannick’s been training his model using reinforcement learning.  He explains the differences from David’s supervised learning approach. We find out how his system performs against a player that makes random tic-tac-toe moves.

    Resources: 

    Deep Learning for JavaScript book

    Playing Atari with Deep Reinforcement Learning

    Two Minute Papers episode on Atari DQN

    For more information about the show, check out pair.withgoogle.com/thehardway/.


    You can reach out to the hosts on Twitter: @dweinberger and @tafsiri


    Beating random: What it means to have trained a model

    Beating random: What it means to have trained a model

    David did it! He trained a machine learning model to play tic-tac-toe! (Well, with lots of help from Yannick.) How did the whole training experience go? How do you tell how training went? How did his model do against a player that makes random tic-tac-toe moves?

    For more information about the show, check out pair.withgoogle.com/thehardway/.


    You can reach out to the hosts on Twitter: @dweinberger and @tafsiri

    From tic-tac-toe moves to ML model

    From tic-tac-toe moves to ML model

    Once we have the data we need—thousands of sample games--how do we turn it into something the ML can train itself on? That means understanding how training works, and what a model is.

    Resources:
    See a definition of one-hot encoding

    For more information about the show, check out pair.withgoogle.com/thehardway.


    You can reach out to the hosts on Twitter: @dweinberger and @tafsiri

    What does a tic-tac-toe board look like to machine learning?

    What does a tic-tac-toe board look like to machine learning?

    How should David represent the data needed to train his machine learning system? What does a tic-tac-toe board “look” like to ML? Should he train it on games or on individual boards? How does this decision affect how and how well the machine will learn to play? Plus, an intro to reinforcement learning, the approach Yannick will be taking.

    For more information about the show, check out pair.withgoogle.com/thehardway.


    You can reach out to the hosts on Twitter: @dweinberger and @tafsiri

    Howdy, and the myth of “pouring in data”

    Howdy, and the myth of “pouring in data”

    Welcome to the podcast! We’re Yannick and David, a software engineer and a non-technical writer. Over the next 9 episodes we’re going to use two different approaches to build machine learning systems that play two versions of tic-tac-toe. Building a machine learning app requires humans making a lot of decisions. We start by agreeing that David will use a “supervised learning” approach while Yannick will go with “reinforcement learning.”

    For more information about the show, check out pair.withgoogle.com/thehardway


    You can reach out to the hosts on Twitter: @dweinberger and @tafsiri