Rethinking Learning Systems with Tin Can — ASTD ICE, May 2014

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Mike presented at ASTD ICE in May of 2014. The topic was "Rethinking Learning Systems with Tin Can." These are the slides from

Technology Education

Connecting Learning Experiences —
#TinCanAPI
Rethinking Learning Systems
with Tin Can
Mike Rustici
mike.rustici@tincanapi.com * @mike_rustici
Twitter Hash Tag: #tincanapi
http://tincanapi.com
CC image by @boetter on flickr

Connecting Learning Experiences —
#TinCanAPI
How familiar are you with Tin Can?

Connecting Learning Experiences —
#TinCanAPI

Connecting Learning Experiences —
#TinCanAPI
A Quick Refresher

Connecting Learning Experiences —
#TinCanAPI
Layer 1: Use any training modality
Mobile
Simulations
Educational Games
Offline Access
Real World Activities
Performance Support

Connecting Learning Experiences —
#TinCanAPI
Layer 2: Everything is Learning

Connecting Learning Experiences —
#TinCanAPI
Layer 3: Free the Data

Connecting Learning Experiences —
#TinCanAPI
Layer 4: Correlate Performance with
Training

Connecting Learning Experiences —
#TinCanAPI
Five Key Enablers
CC image by Richard-G on flickr

Connecting Learning Experiences —
#TinCanAPICC image by Richard-G on flickr
1. Transfer of data between learning systems

Connecting Learning Experiences —
#TinCanAPICC image by Richard-G on flickr
1. Transfer of data between learning systems
2. Capture learning data from any system

Connecting Learning Experiences —
#TinCanAPI
The World Today

Connecting Learning Experiences —
#TinCanAPI
The Real World

Connecting Learning Experiences —
#TinCanAPI
Our Learning Systems Today

Connecting Learning Experiences —
#TinCanAPI
80 / 20

Connecting Learning Experiences —
#TinCanAPI
Do you work at an organization with
more than one LMS?

Connecting Learning Experiences —
#TinCanAPI
LRS Data
Exchange

Connecting Learning Experiences —
#TinCanAPI
Where else can we share data?
• Talent management systems.
• Compliance or regulatory tracking.
• Directly with a regulatory body?
• With past or future employers?
• With the learner?
• ….wait, what did he just say?

Connecting Learning Experiences —
#TinCanAPI
What can I do today?

Connecting Learning Experiences —
#TinCanAPI
Personal Accomplishments

Connecting Learning Experiences —
#TinCanAPI
Analytics

Connecting Learning Experiences —
#TinCanAPI
Learning Analytics

Connecting Learning Experiences —
#TinCanAPI
Moving to an LRS-centric architecture

Connecting Learning Experiences —
#TinCanAPI
Actual System Usage

Connecting Learning Experiences —
#TinCanAPI
Outcome Analysis

Connecting Learning Experiences —
#TinCanAPI
Think in Feedback Loops
CC image by austingovella on slideshare

Connecting Learning Experiences —
#TinCanAPI
“Use-cases we have never been able to come
close to trying.”

Connecting Learning Experiences —
#TinCanAPI
More Examples:
http://site.watershedlrs.com/six-watershed-first-organizations/

Connecting Learning Experiences —
#TinCanAPI
Migrating From SCORM

Connecting Learning Experiences —
#TinCanAPI
How to start:
Connect narrow things
to solve specific problems.

Connecting Learning Experiences —
#TinCanAPI
Experiment-Centered Analytics

Connecting Learning Experiences —
#TinCanAPI
Where does that leave the LMS?

Connecting Learning Experiences —
#TinCanAPI
Rethink YOUR learning systems
http://tincanapi.com/talk
Mike Rustici
mike.rustici@tincanapi.com
@mike_rustici
http://tincanapi.com

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In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

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Explore 'The Codex of Business: Writing Software for Real-World Solutions,' a compelling SlideShare presentation that delves into digital transformation in healthcare. Discover through a detailed case study how Agile methodologies empower healthcare providers to develop, iterate, and refine digital solutions that address real-world challenges. Learn how strategic planning, user feedback, and continuous improvement drive success in deploying technologies that enhance patient care and operational efficiency. Ideal for healthcare professionals, IT specialists, and digital transformation advocates seeking actionable insights and practical examples of technology making a real difference.

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This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

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In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

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The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx

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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

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Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

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Rethinking Learning Systems with Tin Can — ASTD ICE, May 2014

1. Connecting Learning Experiences — #TinCanAPI Rethinking Learning Systems with Tin Can Mike Rustici mike.rustici@tincanapi.com * @mike_rustici Twitter Hash Tag: #tincanapi http://tincanapi.com CC image by @boetter on flickr

2. Connecting Learning Experiences — #TinCanAPI How familiar are you with Tin Can?

3. Connecting Learning Experiences — #TinCanAPI

4. Connecting Learning Experiences — #TinCanAPI A Quick Refresher

5. Connecting Learning Experiences — #TinCanAPI Layer 1: Use any training modality Mobile Simulations Educational Games Offline Access Real World Activities Performance Support

6. Connecting Learning Experiences — #TinCanAPI Layer 2: Everything is Learning

7. Connecting Learning Experiences — #TinCanAPI Layer 3: Free the Data

8. Connecting Learning Experiences — #TinCanAPI Layer 4: Correlate Performance with Training

9. Connecting Learning Experiences — #TinCanAPI Five Key Enablers CC image by Richard-G on flickr

10. Connecting Learning Experiences — #TinCanAPICC image by Richard-G on flickr 1. Transfer of data between learning systems

11. Connecting Learning Experiences — #TinCanAPICC image by Richard-G on flickr 1. Transfer of data between learning systems 2. Capture learning data from any system

12. Connecting Learning Experiences — #TinCanAPICC image by Richard-G on flickr 1. Transfer of data between learning systems 2. Capture learning data from any system 3. Learning doesn’t have to originate in an LMS

13. Connecting Learning Experiences — #TinCanAPICC image by Richard-G on flickr 1. Transfer of data between learning systems 2. Capture learning data from any system 3. Learning doesn’t have to originate in an LMS 4. Correlation of general activity with learning data

14. Connecting Learning Experiences — #TinCanAPICC image by Richard-G on flickr 1. Transfer of data between learning systems 2. Capture learning data from any system 3. Learning doesn’t have to originate in an LMS 4. Correlation of general activity with learning data 5. Specialized analytics

15. Connecting Learning Experiences — #TinCanAPI The World Today

16. Connecting Learning Experiences — #TinCanAPI The Real World

17. Connecting Learning Experiences — #TinCanAPI Our Learning Systems Today

18. Connecting Learning Experiences — #TinCanAPI Our Learning Systems Today

19. Connecting Learning Experiences — #TinCanAPI 80 / 20

20. Connecting Learning Experiences — #TinCanAPI 80 / 20

21. Connecting Learning Experiences — #TinCanAPI

22. Connecting Learning Experiences — #TinCanAPI

23. Connecting Learning Experiences — #TinCanAPI

24. Connecting Learning Experiences — #TinCanAPI

25. Connecting Learning Experiences — #TinCanAPI

26. Connecting Learning Experiences — #TinCanAPI

27. Connecting Learning Experiences — #TinCanAPI Do you work at an organization with more than one LMS?

28. Connecting Learning Experiences — #TinCanAPI

29. Connecting Learning Experiences — #TinCanAPI

30. Connecting Learning Experiences — #TinCanAPI LRS Data Exchange

31. Connecting Learning Experiences — #TinCanAPI Where else can we share data? • Talent management systems. • Compliance or regulatory tracking. • Directly with a regulatory body? • With past or future employers? • With the learner? • ….wait, what did he just say?

32. Connecting Learning Experiences — #TinCanAPI

33. Connecting Learning Experiences — #TinCanAPI What can I do today?

34. Connecting Learning Experiences — #TinCanAPI Personal Accomplishments

35. Connecting Learning Experiences — #TinCanAPI Analytics

36. Connecting Learning Experiences — #TinCanAPI Learning Analytics

37. Connecting Learning Experiences — #TinCanAPI Moving to an LRS-centric architecture

38. Connecting Learning Experiences — #TinCanAPI Actual System Usage

39. Connecting Learning Experiences — #TinCanAPI Outcome Analysis

40. Connecting Learning Experiences — #TinCanAPI Think in Feedback Loops CC image by austingovella on slideshare

41. Connecting Learning Experiences — #TinCanAPI “Use-cases we have never been able to come close to trying.”

42. Connecting Learning Experiences — #TinCanAPI

43. Connecting Learning Experiences — #TinCanAPI More Examples: http://site.watershedlrs.com/six-watershed-first-organizations/

44. Connecting Learning Experiences — #TinCanAPI Migrating From SCORM

45. Connecting Learning Experiences — #TinCanAPI How to start: Connect narrow things to solve specific problems.

46. Connecting Learning Experiences — #TinCanAPI Experiment-Centered Analytics

47. Connecting Learning Experiences — #TinCanAPI Where does that leave the LMS?

48. Connecting Learning Experiences — #TinCanAPI Rethink YOUR learning systems http://tincanapi.com/talk Mike Rustici mike.rustici@tincanapi.com @mike_rustici http://tincanapi.com

Rethinking Learning Systems with Tin Can — ASTD ICE, May 2014

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