Making the introductory science lab accessible online apr 2012gregkp
Presentation to the 5th Annual Student Success Mid-Atlantic Regional Conference, Apr 2012; a look at the state and use of simulations and otehr approaches to making science lab content available online.
Designing a synergistic relationship between undergraduate Data Science educa...Ciera Martinez
Biodiversity data is extremely approachable – the concept of a specimen existing in time and place is clear to grasp and interesting to a wide range of people. I exploited this inherent feature of Biodiversity data to create an educational framework for teaching undergraduate Data Science. The project utilized Discovery Learning theory, based in the belief that it is best for learners to discover facts and relationships for themselves. Students were given a choice of databases and were mentored through an entire data analysis pipeline, including gathering, cleaning, analyzing, and visualization of the data. Their work culminates into a tutorial posted online (curiositydata.org) – instilling proper documentation, open science, and data management techniques. These tutorials can then be used and remixed as documentation for the databases, curriculum, and workshops detailing how to access and analyze the databases data. Increased documentation will overcome accessibility challenges that plague many Biodiversity databases, in an overarching aim to increase the usage and in turn value of these vital data resources. Computer Science, Statistics, and Biology undergraduates are increasingly “data literate”, and if mentored properly, we can foster a symbiotic relationship between the real-world Data Science education and the increase of usability of Biodiversity databases.
Follow this academic DMI community bridging design science and business science .
What are the major trends in the academic discourse on Design Management ?Where are the experts ? Which labs ?
Major themes this year
#Design leadership
as creative leadership and design concept generation to drive business decisions . Designers in C suite
#Design value in business
more metrics needed ;going beyond indicators of design impact researchers looking for actual evidence of the value of design science and of specific design skills in strategy definition and implementation . going deeper on the WHY of design science in Entrepreneurship and Business transformation
#Design Thinking
Service design , User oriented design, spreading in all activities Showing evidence of design pertinence for more customer centric management and consequently business performance . Many papers facing the challenges of design for public good city transformation , design for care , circular economy
Design research labs
focusing on design led innovation through inclusive design towards aging populations and the new concept of "decolonized design " Blockchain and Virtual Reality in innovation process .Great examples of university and business collaborative research .
Thanks all for this fantastic research journey www.dmi.org for more information . #Designence .#Brigitte Borja de Mozota
A Pragmatic Perspective on Software VisualizationArie van Deursen
Slides of the keynote presentation at the 5th International IEEE/ACM Symposium on Software Visualization, SoftVis 2010. Salt Lake City, USA, October 2010.
This presentation has been designed as a starting point for anyone thinking about online learning. It's a very brief overview that looks at some of the outcomes and interactions that might be desired, along with a tool that may be used to help achieve this (with careful learning design). It is not supposed to be exhaustive...more of an indication of potential and something that leads to more questions.
Analytics to understand learning environmentsAbelardo Pardo
Seminar for the CHAI Group at The University of Sydney. A summary of the initiatives I have worked on in the past years plus a brief account of my current work.
Making the introductory science lab accessible online apr 2012gregkp
Presentation to the 5th Annual Student Success Mid-Atlantic Regional Conference, Apr 2012; a look at the state and use of simulations and otehr approaches to making science lab content available online.
Designing a synergistic relationship between undergraduate Data Science educa...Ciera Martinez
Biodiversity data is extremely approachable – the concept of a specimen existing in time and place is clear to grasp and interesting to a wide range of people. I exploited this inherent feature of Biodiversity data to create an educational framework for teaching undergraduate Data Science. The project utilized Discovery Learning theory, based in the belief that it is best for learners to discover facts and relationships for themselves. Students were given a choice of databases and were mentored through an entire data analysis pipeline, including gathering, cleaning, analyzing, and visualization of the data. Their work culminates into a tutorial posted online (curiositydata.org) – instilling proper documentation, open science, and data management techniques. These tutorials can then be used and remixed as documentation for the databases, curriculum, and workshops detailing how to access and analyze the databases data. Increased documentation will overcome accessibility challenges that plague many Biodiversity databases, in an overarching aim to increase the usage and in turn value of these vital data resources. Computer Science, Statistics, and Biology undergraduates are increasingly “data literate”, and if mentored properly, we can foster a symbiotic relationship between the real-world Data Science education and the increase of usability of Biodiversity databases.
Follow this academic DMI community bridging design science and business science .
What are the major trends in the academic discourse on Design Management ?Where are the experts ? Which labs ?
Major themes this year
#Design leadership
as creative leadership and design concept generation to drive business decisions . Designers in C suite
#Design value in business
more metrics needed ;going beyond indicators of design impact researchers looking for actual evidence of the value of design science and of specific design skills in strategy definition and implementation . going deeper on the WHY of design science in Entrepreneurship and Business transformation
#Design Thinking
Service design , User oriented design, spreading in all activities Showing evidence of design pertinence for more customer centric management and consequently business performance . Many papers facing the challenges of design for public good city transformation , design for care , circular economy
Design research labs
focusing on design led innovation through inclusive design towards aging populations and the new concept of "decolonized design " Blockchain and Virtual Reality in innovation process .Great examples of university and business collaborative research .
Thanks all for this fantastic research journey www.dmi.org for more information . #Designence .#Brigitte Borja de Mozota
A Pragmatic Perspective on Software VisualizationArie van Deursen
Slides of the keynote presentation at the 5th International IEEE/ACM Symposium on Software Visualization, SoftVis 2010. Salt Lake City, USA, October 2010.
This presentation has been designed as a starting point for anyone thinking about online learning. It's a very brief overview that looks at some of the outcomes and interactions that might be desired, along with a tool that may be used to help achieve this (with careful learning design). It is not supposed to be exhaustive...more of an indication of potential and something that leads to more questions.
Analytics to understand learning environmentsAbelardo Pardo
Seminar for the CHAI Group at The University of Sydney. A summary of the initiatives I have worked on in the past years plus a brief account of my current work.
The Generative AI System Shock, and some thoughts on Collective Intelligence ...Simon Buckingham Shum
Keynote Address: Team-based Learning Collaborative Asia Pacific Community (TBLC-APC) Symposium (“Impact of emerging technologies on learning strategies”) 8-9 February 2024, Sydney https://tbl.sydney.edu.au
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Sankey, M. 2023. Reimagining authentic curriculum in the age of AI. Exploring AI in Education: Leveraging AI to transform teaching and learning outcomes. The Sydney Boulevard Hotel. 24-25 November.
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Computation Thinking describes the ability to purposefully use computers for problem solving. Computation Thinking and Acting focuses on using technologies for solving real world problems. The slides give examples and solutions how to include COTA in primary schools.
OntoSoft: A Distributed Semantic Registry for Scientific Softwaredgarijo
Credit to Yolanda Gil.
OntoSoft is a distributed semantic registry for scientific software. This paper describes three major novel contributions of OntoSoft: 1) a software metadata registry designed for scientists, 2) a distributed approach to software registries that targets communities of interest, and 3) metadata crowdsourcing through access control. Software metadata is organized using the OntoSoft ontology along six dimensions that matter to scientists: identify software, understand and assess software, execute software, get support for the software, do research with the software, and update the software. OntoSoft is a distributed registry where each site is owned and maintained by a community of interest, with a distributed semantic query capability that allows users to search across all sites. The registry has metadata crowdsourcing capabilities, supported through access control so that software authors can allow others to expand on specific metadata properties.
Applying participatory learning to STEM
E. Shaw, M. La, R. Phillips, and E. Reilly, “PLAY Minecraft! Assessing Secondary Engineering Education using Game Challenges within a Participatory Learning Environment,” in Proceedings of the 2014 ASEE Annual Conference, Indianapolis, IN, June 2014, Session W447.
Talk at 8th Annual Central and Eastern European Software Engineering Conference in Russia
Nov 2, 2012
Moscow, Russia
Note that original (downloadable) .pptx file has embedded videos.
How to do science in a large IT company (ICPC World Finals 2021, Moscow)Alexander Borzunov
The talk covers:
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- What researchers do?
- Research at Yandex
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- Our group's research: Distributed deep learning over the Internet
Innovating computer science education at the high school level through techno...George Veletsianos
In this presentation we describe various features and scaffolds embedded in a Computer Science high school course that is supported by an online learning environment. To develop this course we followed a design-based research approach with problem-based learning as our underlying pedagogy. In collaboration with computer scientists, Computer Science teachers, and instructional designers, we sought to re-envision Computer Science instruction while creating an innovation that is flexible enough to adapt to local contexts without losing its essence.
Innovating Computer Science Education at the High School Level through Techno...Gregory Russell
We describe various features and scaffolds embedded in a computer science high school course that is supported by an online learning environment. To develop this course we followed a design-based research approach with problem-based learning as our underlying pedagogy. In collaboration with computer scientists, computer science teachers, and instructional designers, we sought to re-envision Computer Science instruction while creating an innovation that is flexible enough to adapt to local contexts without losing its essence.
Teaching cognitive computing with ibm watsondiannepatricia
Ralph Badinelli, Lenz Chair in the Department of Business Information Technology, Pamplin College of Business of Virginia Tech. presented "Teaching Cognitive Computing with IBM Watson" as part of the Cognitive Systems Institute Speaker Series.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
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What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Leading Change strategies and insights for effective change management pdf 1.pdf
Using Watson for Enhancing Human-Computer Co-Creativity
1. Design & Intelligence Lab - Georgia Institute of Technology
Using Watson to Enhance
Human-Computer Co-Creativity
Presented by: Bryan Wiltgen
Based on work by: Ashok Goel, Brian Creeden, Mithun Kumble,
Shanu Salunke, Abhinaya Shetty, & Bryan Wiltgen
2. Design & Intelligence Lab - Georgia Institute of Technology
Acknowledgments
● IBM
○ Watson Engagement Advisor
○ Two IBM Faculty Awards in Cognitive Systems.
● Students in the Georgia Tech’s Spring 2015
CS 4803/8803: Computational Creativity class
● Dianne Fodell for inviting me to speak!
3. Design & Intelligence Lab - Georgia Institute of Technology
IBM’s Watson
Engagement Advisor
CS 4803/8803:
Computational Creativity
Human-Computer Co-Creativity
Watson Best Practices
Biologically Inspired Design Apps
Watson in Education
4. Design & Intelligence Lab - Georgia Institute of Technology
Outline
1. Background
2. Class Projects
3. Conclusions
6. Design & Intelligence Lab - Georgia Institute of Technology
The Design & Intelligence Lab (http://dilab.gatech.edu)
Faculty
Goel Joyner McGreggor Rugaber
Ph.D. Students
Banerjee Delgado Ehsan Fitzgerald Wiltgen
Awasthy
Azad
Frazer
Kulkarni
Koushik
Sarathy
Shetty
Hartman Tuchez
Spiliopoulou
M.S. Students UG Students
7. Design & Intelligence Lab - Georgia Institute of Technology
Computational
Creativity
Design
Thinking
Systems
Thinking
Analogical
Thinking
Visual
Thinking
Meta
Thinking
Abductive
Thinking
The Design & Intelligence Lab (http://dilab.gatech.edu)
8. Design & Intelligence Lab - Georgia Institute of Technology
CS 4803/8803: Computational Creativity Class
Spring 2015
24 Students - 21 graduate, 3 undergraduate
Learning Goals:
1. To become familiar with the literature on computational creativity (concepts,
methods, tasks)
2. To become familiar with the state of art in computational creativity (systems,
techniques, tools)
3. To learn about the processes of designing, developing and deploying
interactive/autonomous creative systems from ideation to realization
4. To acquire experience in designing an interactive creative tools
5. To become an independent thinker in computational creativity.
9. Design & Intelligence Lab - Georgia Institute of Technology
Class Projects in Computational Creativity Class
Six, self-organized teams of four students each
Goal:
Deeply address a problem in computational creativity,
specifically in the domain of biologically inspired design.
10. Design & Intelligence Lab - Georgia Institute of Technology
Class Projects in Computational Creativity Class
Phase 1: Initial Learning Phase
1. Select case-study of Biologically Inspired Design
2. Seed Watson with articles
3. Generate and answer questions relative to selected case
4. Train Watson on Q&A pairs
5. Evaluate Watson for answering design questions relevant to selected case
Phase 2: Open-ended Research Phase
● Teams grew the number of documents in our Watson KB
● Teams developed custom-made software
● Teams evaluated aspects of their projects
● Teams wrote reflective design reports and made short videos
11. Design & Intelligence Lab - Georgia Institute of Technology
Biologically Inspired Design
Core Idea:
Take inspiration from nature to develop creative
solutions to design challenges.
12. Design & Intelligence Lab - Georgia Institute of Technology
Example of Biologically Inspired Design
Shinkansen 500: Japanese bullet train
13. Design & Intelligence Lab - Georgia Institute of Technology
Example of Biologically Inspired Design
Shinkansen 500: Japanese bullet train
14. Design & Intelligence Lab - Georgia Institute of Technology
IBM’s Watson
(Specifically: Watson Engagement Advisor)
Automated question-answering.
Q&A
Training
Styling
Our Students Inputted the Following:
● About 500 Documents
● About 1200 Questions
16. Design & Intelligence Lab - Georgia Institute of Technology
Ask Jill
Search for and manage relevant papers
in a literature survey writing context.
The Class Projects
SustArch
Search tool and marketplace for
sustainable architecture.
17. Design & Intelligence Lab - Georgia Institute of Technology
The Class Projects
Watson BioMaterial
Search for relevant materials.
Watsabi
Automated and community-driven
Q&A for agriculture.
18. Design & Intelligence Lab - Georgia Institute of Technology
The Class Projects
Twenty Questions
Find relevant document through an iterative, game-inspired process.
19. Design & Intelligence Lab - Georgia Institute of Technology
The Class Projects
Twenty Questions
Find relevant document through an iterative, game-inspired process.
20. Design & Intelligence Lab - Georgia Institute of Technology
The Class Projects
Twenty Questions
Find relevant document through an iterative, game-inspired process.
21. Design & Intelligence Lab - Georgia Institute of Technology
The Class Projects
Twenty Questions
Find relevant document through an iterative, game-inspired process.
22. Design & Intelligence Lab - Georgia Institute of Technology
The Class Projects
Erasmus
Explore a concept-space.
23. Design & Intelligence Lab - Georgia Institute of Technology
The Class Projects
Erasmus
Explore a concept-space.
24. Design & Intelligence Lab - Georgia Institute of Technology
The Class Projects
Erasmus
Explore a concept-space.
25. Design & Intelligence Lab - Georgia Institute of Technology
The Class Projects
Erasmus
Explore a concept-space.
27. Design & Intelligence Lab - Georgia Institute of Technology
IBM’s Watson
Engagement Advisor
CS 4803/8803:
Computational Creativity
Human-Computer Co-Creativity
Watson Best Practices
Biologically Inspired Design Apps
Watson in Education
28. Design & Intelligence Lab - Georgia Institute of Technology
Watson Best Practices
● Well structured/annotated data is needed and is time-
consuming to produce.
○ Automation
■ Including automated chunking of documents
○ Crowd-Sourcing
○ Wikipedia is a good source.
● Training Watson
○ Bridge questions to link questions together.
○ Crowd-Sourcing
○ Developer-Responsible Feedback Loop
○ 3-Step Approach to Training
■ Train on all possible questions that the corpus papers can answer
■ Train Watson on alternative versions of those questions
■ If first two steps prove insufficient, add additional papers and train on
those.
29. Design & Intelligence Lab - Georgia Institute of Technology
Human-Computer Co-Creativity
When creativity emerges from interactions
between humans and computers.
Hypothesis: Human-Watson interaction, when mediated through
technologies like those produced by the students, results in
human-computer co-creativity.
Why?
● Users typically will engage in longer-term interactions.
● Techs added semantics and context to Watson interactions.
30. Design & Intelligence Lab - Georgia Institute of Technology
Watson in Education
Variety in the Projects
● Topics
○ 5 Bio-inspired Design
■ 3 Domain Independent
■ 2 Targeted specific domains (Resilient
Materials and Built Architecture)
○ 1 Agriculture
● Interaction
○ All supported human-computer interaction.
○ 2 supported human-human interaction.
● All were Internet-enabled.
● 2 were Android apps.
● 1 inspired by a game.
● 1 integrated another IBM technology
(AlchemyAPI).
Exploring Watson for Online
Classroom FAQ
● Goel teaches the Udacity class CS 7637:
Knowledge-based AI: Cognitive Systems as
part of Georgia Tech’s OMSCS program.
● The class uses Piazza for online discussion.
● In Fall 2014:
○ ~6950 Messages
○ ~170 Students
● In Spring 2015:
○ ~11,000 Messages
○ ~240 Students
● We are developing a Watson-powered
technology to automatically answer FAQ’s in
this future offerings of this class.
31. Design & Intelligence Lab - Georgia Institute of Technology
Thank You For Listening
Bryan Wiltgen
bryan.wiltgen@gatech.edu
Design & Intelligence Lab
http://dilab.gatech.edu
Class Project Video Playlist on YouTube
https://www.youtube.com/playlist?list=PL44rHkM-p0hu5H7oS3OXYgK9qDkVajyqY
Published Version of This Work
Ashok Goel, Brian Creeden, Mithun Kumble, Shanu Salunke, Abhinaya Shetty, & Bryan Wiltgen (2015). Using
Watson for Enhancing Human-Computer Co-Creativity. To appear in procs. of AAAI 2015 Fall Symposium.