Presented to the xAPI learning cohort in February 2017, these slides outline different models for designing modular learning ecosystems that leverage the Experience API.
Combining Logs, Metrics, and Traces for Unified ObservabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Transforming data into actionable insightsElasticsearch
Learn about the strategic feature areas of the Elastic Stack—Elasticsearch, a data engine like no other, and Kibana, the window into the Elastic Stack.
The session will cover:
Bringing data into the Elastic Stack
Storing data
Analyzing data
Acting on data
An introduction to Elasticsearch's advanced relevance ranking toolboxElasticsearch
The hallmark of a great search experience is always delivering the most relevant results, quickly, to every user. The difficulty lies behind the scenes in making that happen elegantly and at a scale. From App Search’s intuitive drag and drop interface to the advanced relevance capabilities built into the core of Elasticsearch — Elastic offers a range of tools for developers to tune relevance ranking and create incredible search experiences. In this session, we’ll explore some of Elasticsearch’s advanced relevance ranking features, such as dense vector fields, BM25F, ranking evaluation, and more. Plus we’ll give you some ideas for how these features are being used by other Elastic users to create world-class, category defining search experiences.
Webinar: Evolution of Data Management for the IoTSnapLogic
The Internet of Things is here - slowly, unevenly and in vertical markets, creating new data silos. Evolving data management will be required to realize the full potential of the IoT. There are specific needs for properly addressing IoT data, which legacy ETL tools and database management systems simply don't handle well.
This presentation is from a webinar with Joseph A. di Paolantonio, industry expert working at the convergence of IoT with data management and analytics, where he discusses five recommendations on gaining advantage through the latest IoT data management technologies and business processes.
Watch this recorded demonstration of SnapLogic from our team of experts who answer your hybrid cloud and big data integration questions.
demo, ipaas, elastic integration, cloud data, app integration, data integration, hybrid could integration
Elastic@Colruyt: Ensuring business continuity and improving efficiencyElasticsearch
Discover how Colruyt Group, a supermarket retailer that represents 40+ brands (Spar, OKay, Bio-Planet NV, DeamLand, Collishop), ensures business continuity for more than 30,000 employees by using the Elastic Stack and Elastic Observability to monitor events and logs coming from core infrastructure and application components used by internal and external end users. With Elastic, the group reduces cost and increases productivity of the IT team, allowing them to provide excellent customer service both inside and outside the company.
Combining Logs, Metrics, and Traces for Unified ObservabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Transforming data into actionable insightsElasticsearch
Learn about the strategic feature areas of the Elastic Stack—Elasticsearch, a data engine like no other, and Kibana, the window into the Elastic Stack.
The session will cover:
Bringing data into the Elastic Stack
Storing data
Analyzing data
Acting on data
An introduction to Elasticsearch's advanced relevance ranking toolboxElasticsearch
The hallmark of a great search experience is always delivering the most relevant results, quickly, to every user. The difficulty lies behind the scenes in making that happen elegantly and at a scale. From App Search’s intuitive drag and drop interface to the advanced relevance capabilities built into the core of Elasticsearch — Elastic offers a range of tools for developers to tune relevance ranking and create incredible search experiences. In this session, we’ll explore some of Elasticsearch’s advanced relevance ranking features, such as dense vector fields, BM25F, ranking evaluation, and more. Plus we’ll give you some ideas for how these features are being used by other Elastic users to create world-class, category defining search experiences.
Webinar: Evolution of Data Management for the IoTSnapLogic
The Internet of Things is here - slowly, unevenly and in vertical markets, creating new data silos. Evolving data management will be required to realize the full potential of the IoT. There are specific needs for properly addressing IoT data, which legacy ETL tools and database management systems simply don't handle well.
This presentation is from a webinar with Joseph A. di Paolantonio, industry expert working at the convergence of IoT with data management and analytics, where he discusses five recommendations on gaining advantage through the latest IoT data management technologies and business processes.
Watch this recorded demonstration of SnapLogic from our team of experts who answer your hybrid cloud and big data integration questions.
demo, ipaas, elastic integration, cloud data, app integration, data integration, hybrid could integration
Elastic@Colruyt: Ensuring business continuity and improving efficiencyElasticsearch
Discover how Colruyt Group, a supermarket retailer that represents 40+ brands (Spar, OKay, Bio-Planet NV, DeamLand, Collishop), ensures business continuity for more than 30,000 employees by using the Elastic Stack and Elastic Observability to monitor events and logs coming from core infrastructure and application components used by internal and external end users. With Elastic, the group reduces cost and increases productivity of the IT team, allowing them to provide excellent customer service both inside and outside the company.
Conferencia principal: Evolución y visión de Elastic ObservabilityElasticsearch
Elastic Observability ayuda a conducir el tiempo medio de resolución hacia cero con una visibilidad de extremo a extremo en una sola plataforma. Escuche las últimas características y capacidades, y dele un vistazo al futuro.
Combining logs, metrics, and traces for unified observabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Reinventing enterprise defense with the Elastic StackElasticsearch
In 2020 Uber's security team landed on a search and discovery platform heavily dependent on the Elastic Stack. While the security engineering challenges Uber faces on a day-to-day basis span far and wide, they're certainly not all unique to Uber — from correlating behaviors across data sources to building interfaces for examining security logs and crafting detection logic to surface malicious behaviors, to name a few. Hear the most impactful lessons learned from Uber's security journey, and how security practitioners everywhere can tackle pervasive enterprise security challenges using the Elastic Stack.
Enterprise IT landscapes have become complex with hybrid platforms for everything – Physical servers, VMs, containers, Kubernetes on one hand, monolith, and micro-services application architecture on the other hand. To ensure the smooth functioning of such a complex environment requires more than just monitoring tools. These platforms generate huge amounts of data in the form of logs, metrics, traces, etc. Capturing them on a realtime basis and getting insight is a daunting task. Elastic Stack is a very powerful technology that helps to build versatile observability platform.
Learn how you can effectively build an ‘observability’ platform using the Elastic Stack.
Watch video on demand: https://www.ashnik.com/webinars/monitoring-container-kubernetes-and-openshift-environment-using-elk-stack-th/
Infrastructure monitoring made easy, from ingest to insightElasticsearch
Discover how simplified data onboarding with prebuilt integrations, automated insights with alerting and machine learning, and new visual tools are streamlining the infrastructure monitoring use case.
Values & Vision - Cloud Sandboxes for BIG Earth Sciencesterradue
Terradue is now engaging in the race for developing innovative solutions that aim at better prepared people for the new digital, data-intensive science era.
Elastic APM: Amping up your logs and metrics for the full pictureElasticsearch
No matter where you are in your journey to cloud native, Elastic APM helps deliver better customer experiences by spotting performance bottlenecks and identifying regressions from new deployments faster.
Building a centralized observability platformElasticsearch
See how Elastic Observability empowers platform teams to create centers of excellence with features like central management for agents, index lifecycle management, and searchable snapshots.
These slides are from EdTechWomen's annual facilitated networking discussion at SXSWedu and feature questions on a discussion on the intersectionality of race and the women's rights movement, as it relates to roles in education, technology, and the workplace.
SCORM, which has been the de facto standard for publishing, launching, and tracking eLearning on learning management systems, is not properly equipped to manage non-traditional learning that is mobile and informal. Experience API, or xAPI, however, provides the eLearning community an interface that is able to collect and record details from any learning experience in one central location, regardless of where the learning takes place. With xAPI’s extreme potential to improve the way learning is captured and administered, it is vital for eLearning professionals to understand:
- xAPI’s capabilities for managing mobile, non-traditional learning
- SCORM’s place in the future of eLearning
- Integration of xAPI into HTML5 for tracking user activity within currently-adopted LMS or LRS
- Real world examples of xAPI implementation
A Difference in Leadership - RCC's Dean of Technology & Learning ResourcesMichael Greene
Presented to RCC Employees in summer 2014. This presentation examines the differences between RCC's Dean of Technology and Learning Resources and the typical Academic CIO
Conferencia principal: Evolución y visión de Elastic ObservabilityElasticsearch
Elastic Observability ayuda a conducir el tiempo medio de resolución hacia cero con una visibilidad de extremo a extremo en una sola plataforma. Escuche las últimas características y capacidades, y dele un vistazo al futuro.
Combining logs, metrics, and traces for unified observabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Reinventing enterprise defense with the Elastic StackElasticsearch
In 2020 Uber's security team landed on a search and discovery platform heavily dependent on the Elastic Stack. While the security engineering challenges Uber faces on a day-to-day basis span far and wide, they're certainly not all unique to Uber — from correlating behaviors across data sources to building interfaces for examining security logs and crafting detection logic to surface malicious behaviors, to name a few. Hear the most impactful lessons learned from Uber's security journey, and how security practitioners everywhere can tackle pervasive enterprise security challenges using the Elastic Stack.
Enterprise IT landscapes have become complex with hybrid platforms for everything – Physical servers, VMs, containers, Kubernetes on one hand, monolith, and micro-services application architecture on the other hand. To ensure the smooth functioning of such a complex environment requires more than just monitoring tools. These platforms generate huge amounts of data in the form of logs, metrics, traces, etc. Capturing them on a realtime basis and getting insight is a daunting task. Elastic Stack is a very powerful technology that helps to build versatile observability platform.
Learn how you can effectively build an ‘observability’ platform using the Elastic Stack.
Watch video on demand: https://www.ashnik.com/webinars/monitoring-container-kubernetes-and-openshift-environment-using-elk-stack-th/
Infrastructure monitoring made easy, from ingest to insightElasticsearch
Discover how simplified data onboarding with prebuilt integrations, automated insights with alerting and machine learning, and new visual tools are streamlining the infrastructure monitoring use case.
Values & Vision - Cloud Sandboxes for BIG Earth Sciencesterradue
Terradue is now engaging in the race for developing innovative solutions that aim at better prepared people for the new digital, data-intensive science era.
Elastic APM: Amping up your logs and metrics for the full pictureElasticsearch
No matter where you are in your journey to cloud native, Elastic APM helps deliver better customer experiences by spotting performance bottlenecks and identifying regressions from new deployments faster.
Building a centralized observability platformElasticsearch
See how Elastic Observability empowers platform teams to create centers of excellence with features like central management for agents, index lifecycle management, and searchable snapshots.
These slides are from EdTechWomen's annual facilitated networking discussion at SXSWedu and feature questions on a discussion on the intersectionality of race and the women's rights movement, as it relates to roles in education, technology, and the workplace.
SCORM, which has been the de facto standard for publishing, launching, and tracking eLearning on learning management systems, is not properly equipped to manage non-traditional learning that is mobile and informal. Experience API, or xAPI, however, provides the eLearning community an interface that is able to collect and record details from any learning experience in one central location, regardless of where the learning takes place. With xAPI’s extreme potential to improve the way learning is captured and administered, it is vital for eLearning professionals to understand:
- xAPI’s capabilities for managing mobile, non-traditional learning
- SCORM’s place in the future of eLearning
- Integration of xAPI into HTML5 for tracking user activity within currently-adopted LMS or LRS
- Real world examples of xAPI implementation
A Difference in Leadership - RCC's Dean of Technology & Learning ResourcesMichael Greene
Presented to RCC Employees in summer 2014. This presentation examines the differences between RCC's Dean of Technology and Learning Resources and the typical Academic CIO
xAPI Making Sense of Industry and PracticeAaron Silvers
An overview of questions @MeganBowe and I recommend asking when considering your first big project with xAPI, and how the consortium that will steward xAPI will make this easier.
First delivered as a Learning Solutions 'Data and Measurement' Track Conference Session on March 22, 2017 by Janet Laane-Effron and Sean Putman.
Find out more about HT2 Labs' research and development at HT2Labs.com
xAPI in Action: Sending an data to an LRS (FocusOn Session)Jeff Batt
Here are my slides of how to send xAPI (TinCan) statements over to an LRS. This is a brief overview of the concept and then download files have walk through examples.
Experience API recipes/visualization services are free for education institutions, partners are welcome
Contact: mlearning@classroomaid.org
See detailed features list:
http://classroom-aid.com/xapi-and-analytics-services/
From our xAPI Camp at Amazon's Headquarters in Seattle, WA on July 21, 2015. The decision to go with xAPI is an exciting one, but a successful xAPI project hinges on an understanding of what success looks like. In this presentation, I share a number of questions one should ask of technology partners and your own team depending on different ways one might use xAPI.
The Impacts of the Tin Can API: How 8 Companies are Using the Tin Can API (xAPI)Rustici Software
The Tin Can API is having major impacts on the direction of the e-learning industry.
Organizations and vendors of various types are rushing to adopt Tin Can because it enables many things they have wanted to do for a long time. Things like mobile delivery, offline delivery, serious games and hosting content outside the LMS were all difficult or impossible with SCORM. These are easy with Tin Can.
This webinar lets you get an in-depth look at what Tin Can means to various types of software and organizations, and learn what you need to be doing to make sure that you're keeping up with the trends that Tin Can has enabled in our industry. It features eight companies, each of which will tell you how they're using the Tin Can API, and what it means for their business.
Megan Torrance's presentation at Learning Technologies UK, on xAPI, data providers, Learning Record Stores, and what xAPI has to offer learning & development above and beyond what SCORM provides. (Note these are only Megan Torrance's slides and do not include the case study presented by R Pedley)
ATD ICE 2018 Building the xAPI Ecosystem Houck & TorranceTorranceLearning
In this session, we'll start with the learner-facing tools that will capture your xAPI data: elearning, mobile tools, performance support, social and informal activities, and data sources from the business. We'll review your options when it comes to LRS and how they work (or don't work) with your LMS. Will you work with a standalone LRS? A front end xAPI solution with a built-in LRS? Or an LRS that is aligned with your LMS and your current learning infrastructure? We'll share real-world stories of three different xAPI implementations to help you plot your organization's course toward your next-generation learning ecosystem.
Over 90% of today’s data has been generated in the last two years, and growth rates continue to climb. In this session, we’ll step through challenges and best practices with data capturing, how to derive meaningful insights to help predict the future, and common pitfalls in data analysis.
Come discover how integrated solutions involving Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon Machine Learning/Deep Learning result in effective data systems for data scientists and business users, alike.
LSCon 407 Building the xAPI Learning Ecosystem of Your DreamsTorranceLearning
You’re excited about the promise of an xAPI-enabled world, but you’ve got a learning management system, a catalog full of SCORM-based courses that you need, and a handful of learning tool vendors that don’t use xAPI. What if you could get the most out of an LMS and an LRS at the same time as you move to your next-generation learning and performance infrastructure?
This session will start with the learner-facing tools that will capture your xAPI data: eLearning, mobile tools, performance support, social and informal activities, and data sources from the business. You’ll review your options when it comes to LRSs and how they work (or don’t work) with your LMS. Will you work with a standalone LRS? A front-end xAPI solution with a built-in LRS? Or an LRS that is aligned with your LMS and your current learning infrastructure? You’ll hear real-world stories of three different xAPI implementations to help you plot your organization’s course toward your next-generation learning ecosystem.
Best Practices for Distributed Machine Learning and Predictive Analytics Usin...Amazon Web Services
This session, we focus on common use cases and design patterns for predictive analytics using Amazon EMR. We address accessing data from a data lake, extraction and preprocessing with Apache Spark, analytics and machine learning code development with notebooks (Jupyter, Zeppelin), and data visualization using Amazon QuickSight. We cover other operational topics, such as deployment patterns for ad hoc exploration and batch workloads using Spot and multi-user notebooks. The intended audience for this session includes technical users who are building statistical and data analytics models for the business using tools, such as Python, R, Spark, Presto, Amazon EMR, Notebooks.
Megan Torrance's presentation deck with bonus material from TechLearn 2019 in New Orleans. Intro to xAPI, Tools, Instructional Design models, infrastructure options
This slide was used in ISO/IEC JTC1 SC36 Plenary Meeting in June 22, 2015.
Title of this slide is 'Proof of Concept for Learning Analytics Interoperability and subtitle is 'Reference Model based on open source SW'.
apidays LIVE Paris - The Business of APIs by Jed Ngapidays
apidays LIVE Paris - Responding to the New Normal with APIs for Business, People and Society
December 8, 9 & 10, 2020
The Business of APIs: Lessons from building the world's largest API Marketplace
Jed Ng, Tech & API Investor
Adding xAPI to your RFPs: Rethinking your processRustici Software
Trying to decide whether to add xAPI, SCORM or cmi5 to your eLearning software procurement RFP and don't know where to start? We can help.
Chris Tompkins, Director of Sales at Rustici Software, gave this xAPI-focused presentation at the eLearning Guild's Learning Solution's Conference 2018 as well as xAPI Cohort's Spring xAPI Party. You can view a recording of the later online: https://torrancelearning.adobeconnect.com/p1qmwvnxbyra/?proto=true.
Early stage startups are time and resource constrained and need to quickly get to product market fit. This presentation is for startups who want to find out about the best was to build their minimal viable product (MVP) on AWS. You’ll get an overview of how startups build MVPs using services like API Gateway, Amplify, Lambda, Managed Kubernetes on AWS, Lightsail, and Database options. After this session you’ll be able to pick the right technologies and use pre-configured architectures to speed up your development.
Every business is looking for a game-changer in data science, machine learning, and AI. Most organizations are also looking for ways to tap into open-source and commercial data science tools such as Python, RStudio, Apache Spark, Jupyter, and Zeppelin notebooks, to accelerate predictive and machine learning model building and deployment while leveraging the scale, security and governance of the Hortonworks Data Platform and other commercial platforms.
Ana Maria Echeverri will demonstrate how to accelerate data science, machine learning, and deep learning workflows by using IBM Watson Studio, an integrated environment for data scientists, application developers, and subject matter experts. This suite of tools allows to collaboratively connect to data, wrangle that data and use it to build, train and deploy models at scale while using Open Source skills (i.e.: Python) and expanding into cognitive capabilities through access to Watson APIs to build AI-powered applications. If you love Python and want to tap into the power of IBM Watson, this is the session for you.
Why xAPI? A Business Leader's Getting Started GuideMargaret Roth
For many L&D teams, getting started with xAPI is all about finding the balance between meeting strategic organization-wide data transformation goals and defining an achievable, feasible, and valuable team-level proof of concept. Getting to this happy medium requires not only an understanding of technical functionality, but more importantly the ability to help your stakeholders understand how they will benefit from an xAPI-powered learning ecosystem and data strategy.
In this webinar, you'll gain an understanding of the foundational conceptual and technical components of xAPI, see examples of xAPI-powered learning ecosystem pilot projects, and learn the necessary first steps to get your team xAPI ready for 2019!
This content was originally shared as part of the Why xAPI? webinar on December 13, 2018.
Powering Next-Gen Learning with VR and xAPI - DevLearn 2018Margaret Roth
Virtual reality technologies have long been the promise of the future but just out of reach for the mainstream. Recent VR innovations, though, have allowed instructional designers and learning engineers to create and distribute custom VR content in ways that make VR a transformative part of training and learning programs across industries. When combined with xAPI, these futuristic technologies allow you to gain never-before-captured insights from next-gen digital experiences.
This session will take a look at how VR powered by xAPI is currently being used by instructional designers, learning engineers, and L&D professionals to gain new insights from next-gen learning experiences. You will explore case studies that demonstrate how VR interactions allow learners to explore and participate in engaging and intuitive 360-degree virtual environments designed to expand their vision and promote learning, impact, and retention. You will see case studies demonstrating how organizations are using xAPI-enabled VR content to enhance learning, from safety and compliance to onboarding and training.
* Originally presented on 10/26/18 at DevLearn 2018 with Margaret Roth, Mel Milloway and John Blackmon.
How to Plan for Your xAPI Pilot - xAPI Camp at DevLearn 2018 - Yet Analytics Margaret Roth
From an organization-wide executive directive to become more data-driven, a retail corporate L&D team took an internal look at their own data practices. Realizing that they had an overwhelming lack of transparency into their learning initiatives and a great amount of data that had gone unused, the team developed a transformation vision to create a single system of record for learning to enable observability, granularity, and accountability for all team members. The team was committed to the vision of xAPI; however, the data and information they needed in order to make actionable change for their learners was locked away in non-interoperable formats, and they recognized the need to develop a data strategy and implementation plan.
*Originally presented on 10/23/2018 at xAPI Camp during DevLearn 2018 by Allie Tscheulin
Creating a Data Driven L&D Team - an xAPI Case Study - DevLearn 2018Margaret Roth
From an organization-wide executive directive to become more data-driven, a retail corporate L&D team took an internal look at their own data practices. Realizing that they had an overwhelming lack of transparency into their learning initiatives and a great amount of data that had gone unused, the team developed a transformation vision to create a single system of record for learning to enable observability, granularity, and accountability for all team members. The team was committed to the vision of xAPI; however, the data and information they needed in order to make actionable change for their learners was locked away in non-interoperable formats, and they recognized the need to develop a data strategy and implementation plan.
In this case study session, you will see how the organization’s L&D team created an xAPI data roadmap to not only achieve early wins when it came to the executive business objectives but also begin work on a scalable plan to build out a modern, flexible ecosystem that has the needs of learners at its center.
* Originally presented on 10/25/18 at DevLearn by Allie Tscheulin and Margaret Roth
Creating Virtual Reality Training Using Interactive 360 Videos and Images wit...Margaret Roth
We’ve all heard that VR training experiences have a proven higher retention rate, with retention gains reaching 75 percent in comparison to standard video, eLearning, or textbook training. What we need to know is how to create and deploy VR training quickly and cost effectively, with the systems we have today. This session will cover the creation, editing, publishing, and tracking of VR training using 360 video.
In this session, you will learn about the creation, editing, publishing, and tracking of VR training using 360 video. You will explore the potential learning applications for using VR, and how it can be integrated into your current learning environment.
These slides were originally presented in San Jose, CA on June 26, 2018 at the Realities360 conference as part of the launch of CenarioVR.
Yet LXi — Learning Experience Interface Overview Margaret Roth
Yet’s Learning Experience Interface (LXi) enables the collection and tagging of resources across any source on the internet, providing a unified discovery and experience platform for informal, self-directed learning. Related content suggestions and a fully xAPI instrumented interface make the Yet LXi the best way to unify both your learner experience and your learning analytics.
This presentation was originally shared as part of the eThink Partner Webinar series on April 25, 2018. View the webinar recording at https://www.youtube.com/watch?v=rgxSEO-x2co&feature=youtu.be.
IEEE TAG xAPI Webinar Series: Improving the Learner Experience Through an xAP...Margaret Roth
As part of the xAPI Case Studies Webinar Series hosted by the IEEE LTSC TAG xAPI, this presentation gives an overview of the creation of the Learning Commons. The Learning Commons is a shared space for connecting and accelerating educator learning created in partnership by the Learning Accelerator and Yet Analytics with support from innovative education organizations. The Learning Commons is an xAPI-enabled, multi-source content portal designed from the ground up with xAPI as part of the data model, powering a unified learner experience interface that allows learners to see how the informal learning content they work with aligns to competencies and skills they are working to build. As learners utilize content through curated playlists, skill and competency development is automatically tracked and presented back to learners, cohort leaders, and content providers through xAPI data.
The Google Slides version can be accessed at http://goog.gl/HfuscA. This presentation was presented in the xAPI Case Studies Webinar Series hosted by the IEEE LTSC TAG xAPI group on April 17, 2018.
Modern Learning Ecosystem Design with xAPIMargaret Roth
While the L&D community is increasingly familiar with the Experience API (xAPI) and its value for data collection and interoperability, few examples exist to clarify the value of xAPI as applied within different existing learning infrastructures. This session focused on sharing the ways xAPI can connect and provide value in any eLearning environment.
These slides present a series of different learning ecosystem configurations and the ways xAPI and a learning record store (LRS) can provide value in each case. The three main learning ecosystem configurations examined range from the simplest (LMS and LRS) to three systems connected (LMS, LRS, and CMS) to the fully modular (LRS, LMS, simulations, microlearning, performance assessment, and other tools). For each of these configurations, the presentation shares specific values and practical applications gained by connecting an xAPI LRS to the existing system.
This presentation was originally shared as part of the eLearning Guild's 2018 Learning Solutions conference on March 28, 2018.
Data Visualization and Learning Analytics with xAPIMargaret Roth
With the Experience API we are able to collect more granular, high-resolution data from our learning tools and platforms. But once we have that data, how do we present it in ways that easily communicate the right insights to our stakeholders?
In this presentation from the xAPI Cohort's Spring 2018 session, you'll find a brief historical survey of data visualizations, three keys to designing good data visualizations, and case studies of xAPI specific data visualizations and the insights they provided to organizations.
A Business User's Guide to Getting Started with xAPIMargaret Roth
This session was presented at the 2018 Association for Talent Development's TechKnowledge Conference in San Jose, CA.
The Experience API (xAPI) and the learning record store (LRS) are powerful tools for any learning organization, providing improved visibility into learning data. This session focuses on practical business outcomes, using high-level case studies to demonstrate short- and long-term benefits of xAPI. In this session, we will address how xAPI can fit into your learning ecosystem, and how it compares with other learning standards. We'll also discuss the first steps to testing and validating the value of xAPI for your organization.
Learn more at https://www.yetanalytics.com.
Augmented Reality? Virtual Reality? What do they have to do with eLearning? When powered by xAPI, these futuristic technologies open our eyes to next-gen learning and training possibilities. Industry experts Chad Udell, Managing Partner of Float, Hugh Seaton, CEO of Aquinas Training, and Melissa Milloway, Sr. Learning Experience Designer at Amazon, join Yet Analytics to take a look at how AR and VR are currently being used by eLearning designers and L&D professionals to gain never before captured insights from tracking these digital experiences with xAPI.
Interested in learning more? Watch the webinar recording on YouTube >> https://youtu.be/GUF6giD49BI.
Reimagining Progress Reports for Mastery-Based EducationMargaret Roth
Leveraging xAPI and the Yet xAPI Learning Record Store, data from across learning tools and platforms have been unified to provide automated reporting to learners and other stakeholders at Khan Lab School.
Khan Lab School is an independent school associated with Khan Academy that runs a personalized, mixed-age program with a project-based learning approach. Because KLS tracks mastery instead of letter grades and groups students by independence level instead of age, a new kind of reporting system is needed to show student progress. Yet Analytics has built role-specific data dashboards for students, teachers, and leadership that pulls data from digital and in-person learning activity to provide a unified view of student progress at KLS.
This presentation was presented at xAPI Camp at DevLearn 2017.
From Data Visualization to Role-Specific Data DiscoveryMargaret Roth
When we think about creating an xAPI data ecosystem, we often focus on how will we collect and connect data from across the Learning & Development and HR ecosystem. But once we have that data all in one place in our Learning Record Store, now we can really get to using it. In this presentation to the Fall 2017 xAPI Cohort, we explored why and how we can use data visualizations and interactive analytics to help us see patterns in our data and apply that insight to our work. Additionally, we took a look at some role-specific xAPI data dashboards from the point of view of Managers, Instructors, and Learners.
Intro to xAPI: Perspectives from Across the OrganizationMargaret Roth
Take an intro to xAPI from the perspective of different stakeholders in the learning and development ecosystem. See how leveraging xAPI data with the Yet xAPI Learning Record Store can improve outcomes for individual learners, instructors, instructional designers, managers, and organizations.
Watch this expert-led webinar to learn effective tactics that high-volume hiring teams can use right now to attract top talent into their pipeline faster.
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...SocialHRCamp
Speaker: Erin Patchell
Imagine a world where the needs, experiences, and well-being of people— employees and customers — are the focus of integrating technology into our businesses. As HR professionals, what tools exist to leverage AI and technology as a force for both people and profit? How do we influence a culture that takes a human-centred lens?
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...SocialHRCamp
Speaker: Kinga Petrovai
You have the new AI tools, but how can you help your team use them to their full potential? As technology is changing daily, it’s hard to learn and keep up with the latest developments. Help your team amplify their learning with a new collaborative learning approach called the Learning Hive.
This session outlines the Learning Hive approach that sets up collaborations that foster great learning without the need for L&D to produce content. The Learning Hive enables effective knowledge sharing where employees learn from each other and apply this learning to their work, all while building stronger community bonds. This approach amplifies the impact of other learning resources and fosters a culture of continuous learning within the organization.
2. Yet Analytics, Inc 2017
What is
xAPI?
The Experience API (xAPI)
is an open data interoperability
specification for collecting the
experiences people have across,
with, and through technologies in
the connected world.
Experience
Learning Behavior
Performance
Activity
3. Yet Analytics, Inc 2017
How is
xAPI used?
Value:
• Audit record
• Storage
• Future compatibility
LMS
LRS
4. Yet Analytics, Inc 2017
How is
xAPI used?
Value:
• Exportable
• Insights through reporting
LMS
LRS etc
BI Tools
Reporting
5. Yet Analytics, Inc 2017
How is
xAPI used?
Value:
• Ecosystem begins
• Cross communication
• Alerts, patterns, trends
RMS / LRS
LMS CMS
6. Yet Analytics, Inc 2017
How is
xAPI used?
Value:
• Customization
• Engagement across programs
• All experiences are valued
equally
LRS
LMS
Sims
Apps
etc
Vis
etc
BI Tools
Reporting
7. Yet Analytics, Inc 2017
.csv
Analytics
Experience
Data Store
Yet xAPI LRS
Historical, External,
and Persistent Data
Visualization
Reporting
Other Systems
CSV export
to BI Tools
Experience API
Data Statement
IntegrationsLMS
Live Streaming Data
Native xAPI
Wrappers
Experience Data Ecosystem
8. Yet Analytics, Inc 2017
In-Person Training Mobile Simulatione-Learning
xAPI
Analytics Engine
Yet Data Store
Timeline Interaction
Marketing Simulation
In-Person Training Mobile
Communication
App
LMS
xAPI
Analytics Engine
Yet Data Store
Timeline Frequency Interaction
msi
Two
learning
ecosystem
examples:
10. Yet Analytics, Inc 2017
Creating
an xAPI
Ecosystem
Get started:
yetanalytics.com/free-trial
Margaret Roth
margaret@yetanalytics.com
443.2563673
Put Big Data to Work...
“The data collection and analysis tools
that Yet Analytics has developed offer
a range of applications... Yet Analytics
puts big data to work for companies.”
— Sam Matheny, CTO of the National
Association of Broadcasters
11. Yet Analytics, Inc 2017
yetanalytics.com
Experience intelligence in human capital analytics.