How artificial intelligence is revolutionizing and disrupting learning and development practices throughout the ADDIE value chain - analysis, design, development, delivery and evaluation
Presentation shared by author at the 2019 EDEN Annual Conference "Connecting through Educational Technology" held on 16-19 June, 2019 in Bruges, Belgium.
Find out more on #eden19 here: http://www.eden-online.org/2019_bruges/
Presentation by Olaf Zawacki-Richter, University of Oldenburg, Senior EDEN Fellow, at the 2019 European Distance Learning Week's fourth-day webinar on "Artificial Intelligence (AI) in Higher Education" - 14 November 2019
Recording of the discussion is available: https://eden-online.adobeconnect.com/p7d4zev81s1s/ & https://www.youtube.com/watch?v=4eebqKEIcM8
Generative AI: Redefining Creativity and Transforming Corporate LandscapeOsaka University
The advent of Generative AI is redefining the boundaries of creativity and markedly transforming the corporate landscape. One of the pioneering technologies in this domain is the Reinforcement Learning from Human Feedback (RLHF). Combined with advancements in LLM (Language Model) has emerged as a notable player. LLM offers two primary interpretations: firstly, as a machine capable of generating highly plausible texts in response to specific directives, and secondly, as a multi-lingual knowledge repository that responds to diverse inquiries.
The ramifications of these technologies are widespread, with profound impacts on various industries. They are catalyzing digital transformation within enterprises, driving significant advancements in research and development, especially within the realms of drug discovery and healthcare. In countries like Japan, Generative AI is heralded for its potential to bolster creativity. The value generated by such AI-driven innovations is estimated to be several trillion dollars annually. Intriguingly, about 75% of this value, steered by creative AI applications, is predominantly concentrated within customer operations, marketing and sales, software engineering, and R&D. These applications are pivotal in enhancing customer interactions, generating innovative content for marketing campaigns, and even crafting computer code from natural language prompts. The ripple effect of these innovations is palpable in sectors like banking, high-tech, and life sciences.
However, as with every innovation, there are certain setbacks. For instance, the traditional business model of individualized instruction, as seen in the context of professors teaching basic actions, is on the brink of obsolescence.
Looking ahead, the next five years pose pertinent questions about humanity's role amidst this technological evolution. A salient skillset will encompass the adept utilization of generative AI, paired with the discernment to accept or critique AI-generated outputs. Education, as we know it, will be reimagined. The evaluative focus will transition from verifying a student's independent work to gauging their ability to produce content surpassing their AI tools. Generative AI's disruptive nature will compel us to re-evaluate human value, reshaping the paradigms of corporate management and educational methodologies
This presentation looks at how AI works, how it is being used presently in Education and then outline some concerns about how AI might be used in education in the future.
I argue that AI has a much greater part to play in Education – particularly in making education more widely available in the developing world and in reducing the cost of education.
The talk then moves on to discuss general ethical concerns about how AI is being used in society, looking at the issue of how we program autonomous vehicles as a case in point. I then outline five areas of concern about the use (and potential abuse) of AI in education arguing that we need to have a much more informed debate before things go too far. With this in mind, I close with some suggestions for courses and reading that might help colleagues to become better informed about the subject.
Presentation shared by author at the 2019 EDEN Annual Conference "Connecting through Educational Technology" held on 16-19 June, 2019 in Bruges, Belgium.
Find out more on #eden19 here: http://www.eden-online.org/2019_bruges/
Presentation by Olaf Zawacki-Richter, University of Oldenburg, Senior EDEN Fellow, at the 2019 European Distance Learning Week's fourth-day webinar on "Artificial Intelligence (AI) in Higher Education" - 14 November 2019
Recording of the discussion is available: https://eden-online.adobeconnect.com/p7d4zev81s1s/ & https://www.youtube.com/watch?v=4eebqKEIcM8
Generative AI: Redefining Creativity and Transforming Corporate LandscapeOsaka University
The advent of Generative AI is redefining the boundaries of creativity and markedly transforming the corporate landscape. One of the pioneering technologies in this domain is the Reinforcement Learning from Human Feedback (RLHF). Combined with advancements in LLM (Language Model) has emerged as a notable player. LLM offers two primary interpretations: firstly, as a machine capable of generating highly plausible texts in response to specific directives, and secondly, as a multi-lingual knowledge repository that responds to diverse inquiries.
The ramifications of these technologies are widespread, with profound impacts on various industries. They are catalyzing digital transformation within enterprises, driving significant advancements in research and development, especially within the realms of drug discovery and healthcare. In countries like Japan, Generative AI is heralded for its potential to bolster creativity. The value generated by such AI-driven innovations is estimated to be several trillion dollars annually. Intriguingly, about 75% of this value, steered by creative AI applications, is predominantly concentrated within customer operations, marketing and sales, software engineering, and R&D. These applications are pivotal in enhancing customer interactions, generating innovative content for marketing campaigns, and even crafting computer code from natural language prompts. The ripple effect of these innovations is palpable in sectors like banking, high-tech, and life sciences.
However, as with every innovation, there are certain setbacks. For instance, the traditional business model of individualized instruction, as seen in the context of professors teaching basic actions, is on the brink of obsolescence.
Looking ahead, the next five years pose pertinent questions about humanity's role amidst this technological evolution. A salient skillset will encompass the adept utilization of generative AI, paired with the discernment to accept or critique AI-generated outputs. Education, as we know it, will be reimagined. The evaluative focus will transition from verifying a student's independent work to gauging their ability to produce content surpassing their AI tools. Generative AI's disruptive nature will compel us to re-evaluate human value, reshaping the paradigms of corporate management and educational methodologies
This presentation looks at how AI works, how it is being used presently in Education and then outline some concerns about how AI might be used in education in the future.
I argue that AI has a much greater part to play in Education – particularly in making education more widely available in the developing world and in reducing the cost of education.
The talk then moves on to discuss general ethical concerns about how AI is being used in society, looking at the issue of how we program autonomous vehicles as a case in point. I then outline five areas of concern about the use (and potential abuse) of AI in education arguing that we need to have a much more informed debate before things go too far. With this in mind, I close with some suggestions for courses and reading that might help colleagues to become better informed about the subject.
Chat GPT and Generative AI in Higher Education - Empowering Educators and Lea...Alain Goudey
If you failed to join us for this inspiring and groundbreaking conference that explores the transformative potential of ChatGPT and generative AI in higher education at AACSB Innovative Curriculum Conference in 2023. This slidedeck brings together some ideas in education, technology, and artificial intelligence to delve into the exciting possibilities that these innovative technologies hold for educators and learners alike.
Discover how ChatGPT and generative AI are revolutionizing teaching methods, enhancing student engagement, and promoting personalized learning experiences. Gain insights into the latest developments in AI-powered educational tools and platforms, and learn how they can help students overcome academic challenges, foster critical thinking, and unlock their full potential.
At NEOMA we are at the forefront of integrating AI into the classroom, and explore successful case studies that showcase the immense benefits of this digital transformation. We also address the ethical considerations, best practices, and strategies for harnessing the power of ChatGPT and generative AI to create more equitable and inclusive educational environments.
Let's embark together on a thrilling journey that will redefine the way we teach, learn, and grow with AI, connect on social networks with me.
AI vs Machine Learning vs Deep Learning | Machine Learning Training with Pyth...Edureka!
Machine Learning Training with Python: https://www.edureka.co/python )
This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on "AI vs Machine Learning vs Deep Learning" talks about the differences and relationship between AL, Machine Learning and Deep Learning. Below are the topics covered in this tutorial:
1. AI vs Machine Learning vs Deep Learning
2. What is Artificial Intelligence?
3. Example of Artificial Intelligence
4. What is Machine Learning?
5. Example of Machine Learning
6. What is Deep Learning?
7. Example of Deep Learning
8. Machine Learning vs Deep Learning
Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm
Artificial Intelligence in Education focusing on the Skills3.0 projectInge de Waard
This presentation was given during the Elearning Fusion conference in Warsaw, Poland - April 2019. The presentation begins with a bit of algorithm, AI, machine learning history and background, provides some examples of AI in learning and finalizes with the Skills 3.0 project where InnoEnergy is working on.
Introduction To Artificial Intelligence PowerPoint Presentation SlidesSlideTeam
Introduction to Artificial Intelligence is for the mid level managers giving information about what is AI, AI levels, types of AI, where AI is used. You can also know the difference between AI vs Machine learning vs Deep learning to understand expert system in a better way for business growth. https://bit.ly/3er7KWI
Why it’s unethical to focus on ‘AI Ethics’Kye Andersson
Reasoning around the danger of using AI ethics as an excuse to AVOID CHANGE and cling on to power.
1.
AI holds the potential for humans to change beyond our limitations.
2.
AI ethics is commonly used excuse, by those in power, to not change.
3.
An excuse that comes at a huge cost for those without power.
Regulations alone protects institutions, but suffocates change
Positive change is powered by incentives, designed based on the future we want to create.
In six months of research prior to setting up the AI Sweden AI ethics lab we were able to find ZERO ethical cases that were specific to AI.
Those who push AI ethics often do not fully understand AI.
And may be hindering progress towards a more ethical world.
It’s much easier to discuss AI Ethics than to actually make critical decisions about what future we want to create.
It’s up to you to you elect democratic representatives with a vision for the future.
Then AI can help create that future.
AI in Education must be an opportunity for allMarco Neves
Living tremendous and very challenging days impacted by the Digital Transformation mainly supported by Artificial Intelligence is important that all students learn about AI.
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckSlideTeam
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck is loaded with easy-to-follow content, and intuitive design. Introduce the types and levels of artificial intelligence using the highly-effective visuals featured in this PPT slide deck. Showcase the AI-subfield of machine learning, as well as deep learning through our comprehensive PowerPoint theme. Represent the differences, and interrelationship between AI, ML, and DL. Elaborate on the scope and use case of machine intelligence in healthcare, HR, banking, supply chain, or any other industry. Take advantage of the infographic-style layout to describe why AI is flourishing in today’s day and age. Elucidate AI trends such as robotic process automation, advanced cybersecurity, AI-powered chatbots, and more. Cover all the essentials of machine learning and deep learning with the help of this PPT slideshow. Outline the application, algorithms, use cases, significance, and selection criteria for machine learning. Highlight the deep learning process, types, limitations, and significance. Describe reinforcement training, neural network classifications, and a lot more. Hit download and begin personalization. Our AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3ngJCKf
Artificial Intelligence (AI) refers to the ability of machines to perform cognitive tasks like thinking, perceiving, learning, problem solving and decision making; it is inspired by the ways people use their brains to perceive, learn, reason out and decide the action. Especially, AI makes a lot of footprints in education such as automated feedback, Intelligent tutoring, learning analytics, virtual agents, virtual reality, and an online proctored examination. This presentation describes the concept of Artificial intelligence and its pedagogical practices.
An introduction to the ethics of AI in educationJisc
Presentation slides from Jisc's "an introduction to the ethics of AI in education" event held on 7 December 2021.
This presentation aims:
- To introduce the ethical issues associated with using AI in education
- To explain how ethical issues can be avoided, managed, mitigated and/or overcome
- To introduce you to the Ethical Framework for AI in Education and the Pathway to Ethical AI
Presented at All Things Open RTP Meetup
Presented by Karthik Uppuluri, Fidelity
Title: Generative AI
Abstract: In this session, let us embark on a journey into the fascinating world of generative artificial intelligence. As an emergent and captivating branch of machine learning, generative AI has become instrumental in myriad of sectors, ranging from visual arts to creating software for technological solutions. This session requires no prior expertise in machine learning or AI. It aims to inculcate a robust understanding of fundamental concepts and principles of generative AI and its diverse applications. Join us as we delve into the mechanics of this transformative technology and unpack its potential.
Generative AI Use-cases for Enterprise - First SessionGene Leybzon
In this presentation, we will delve into the exciting applications of Generative AI across various business domains. Leveraging the capabilities of artificial intelligence and machine learning, Generative AI allows for dynamic, context-aware user interfaces that adapt in real-time to provide personalized user experiences. We will explore how this transformative technology can streamline design processes, facilitate user engagement, and open the doors to new forms of interactivity.
Navigating the Future of Learning and Development 2024 Outlook by Ravinder Tu...MdSaifulIslam289
Navigating the Future of Learning and Development 2024 Outlook by Ravinder Tulsiani
As we approach 2024, the landscape of Learning and Development (L&D) is undergoing a transformative shift, propelled by rapid advancements in technology and evolving workplace dynamics.
https://ravindertulsiani.com/
Learning and Development 2024 Predictions, L&D 2024 Outlook, Ravinder Tulsiani, Learning and Development
#LearningandDevelopment2024Predictions #L&D2024Outlook #RavinderTulsiani #LearningandDevelopment
Chat GPT and Generative AI in Higher Education - Empowering Educators and Lea...Alain Goudey
If you failed to join us for this inspiring and groundbreaking conference that explores the transformative potential of ChatGPT and generative AI in higher education at AACSB Innovative Curriculum Conference in 2023. This slidedeck brings together some ideas in education, technology, and artificial intelligence to delve into the exciting possibilities that these innovative technologies hold for educators and learners alike.
Discover how ChatGPT and generative AI are revolutionizing teaching methods, enhancing student engagement, and promoting personalized learning experiences. Gain insights into the latest developments in AI-powered educational tools and platforms, and learn how they can help students overcome academic challenges, foster critical thinking, and unlock their full potential.
At NEOMA we are at the forefront of integrating AI into the classroom, and explore successful case studies that showcase the immense benefits of this digital transformation. We also address the ethical considerations, best practices, and strategies for harnessing the power of ChatGPT and generative AI to create more equitable and inclusive educational environments.
Let's embark together on a thrilling journey that will redefine the way we teach, learn, and grow with AI, connect on social networks with me.
AI vs Machine Learning vs Deep Learning | Machine Learning Training with Pyth...Edureka!
Machine Learning Training with Python: https://www.edureka.co/python )
This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on "AI vs Machine Learning vs Deep Learning" talks about the differences and relationship between AL, Machine Learning and Deep Learning. Below are the topics covered in this tutorial:
1. AI vs Machine Learning vs Deep Learning
2. What is Artificial Intelligence?
3. Example of Artificial Intelligence
4. What is Machine Learning?
5. Example of Machine Learning
6. What is Deep Learning?
7. Example of Deep Learning
8. Machine Learning vs Deep Learning
Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm
Artificial Intelligence in Education focusing on the Skills3.0 projectInge de Waard
This presentation was given during the Elearning Fusion conference in Warsaw, Poland - April 2019. The presentation begins with a bit of algorithm, AI, machine learning history and background, provides some examples of AI in learning and finalizes with the Skills 3.0 project where InnoEnergy is working on.
Introduction To Artificial Intelligence PowerPoint Presentation SlidesSlideTeam
Introduction to Artificial Intelligence is for the mid level managers giving information about what is AI, AI levels, types of AI, where AI is used. You can also know the difference between AI vs Machine learning vs Deep learning to understand expert system in a better way for business growth. https://bit.ly/3er7KWI
Why it’s unethical to focus on ‘AI Ethics’Kye Andersson
Reasoning around the danger of using AI ethics as an excuse to AVOID CHANGE and cling on to power.
1.
AI holds the potential for humans to change beyond our limitations.
2.
AI ethics is commonly used excuse, by those in power, to not change.
3.
An excuse that comes at a huge cost for those without power.
Regulations alone protects institutions, but suffocates change
Positive change is powered by incentives, designed based on the future we want to create.
In six months of research prior to setting up the AI Sweden AI ethics lab we were able to find ZERO ethical cases that were specific to AI.
Those who push AI ethics often do not fully understand AI.
And may be hindering progress towards a more ethical world.
It’s much easier to discuss AI Ethics than to actually make critical decisions about what future we want to create.
It’s up to you to you elect democratic representatives with a vision for the future.
Then AI can help create that future.
AI in Education must be an opportunity for allMarco Neves
Living tremendous and very challenging days impacted by the Digital Transformation mainly supported by Artificial Intelligence is important that all students learn about AI.
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckSlideTeam
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck is loaded with easy-to-follow content, and intuitive design. Introduce the types and levels of artificial intelligence using the highly-effective visuals featured in this PPT slide deck. Showcase the AI-subfield of machine learning, as well as deep learning through our comprehensive PowerPoint theme. Represent the differences, and interrelationship between AI, ML, and DL. Elaborate on the scope and use case of machine intelligence in healthcare, HR, banking, supply chain, or any other industry. Take advantage of the infographic-style layout to describe why AI is flourishing in today’s day and age. Elucidate AI trends such as robotic process automation, advanced cybersecurity, AI-powered chatbots, and more. Cover all the essentials of machine learning and deep learning with the help of this PPT slideshow. Outline the application, algorithms, use cases, significance, and selection criteria for machine learning. Highlight the deep learning process, types, limitations, and significance. Describe reinforcement training, neural network classifications, and a lot more. Hit download and begin personalization. Our AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3ngJCKf
Artificial Intelligence (AI) refers to the ability of machines to perform cognitive tasks like thinking, perceiving, learning, problem solving and decision making; it is inspired by the ways people use their brains to perceive, learn, reason out and decide the action. Especially, AI makes a lot of footprints in education such as automated feedback, Intelligent tutoring, learning analytics, virtual agents, virtual reality, and an online proctored examination. This presentation describes the concept of Artificial intelligence and its pedagogical practices.
An introduction to the ethics of AI in educationJisc
Presentation slides from Jisc's "an introduction to the ethics of AI in education" event held on 7 December 2021.
This presentation aims:
- To introduce the ethical issues associated with using AI in education
- To explain how ethical issues can be avoided, managed, mitigated and/or overcome
- To introduce you to the Ethical Framework for AI in Education and the Pathway to Ethical AI
Presented at All Things Open RTP Meetup
Presented by Karthik Uppuluri, Fidelity
Title: Generative AI
Abstract: In this session, let us embark on a journey into the fascinating world of generative artificial intelligence. As an emergent and captivating branch of machine learning, generative AI has become instrumental in myriad of sectors, ranging from visual arts to creating software for technological solutions. This session requires no prior expertise in machine learning or AI. It aims to inculcate a robust understanding of fundamental concepts and principles of generative AI and its diverse applications. Join us as we delve into the mechanics of this transformative technology and unpack its potential.
Generative AI Use-cases for Enterprise - First SessionGene Leybzon
In this presentation, we will delve into the exciting applications of Generative AI across various business domains. Leveraging the capabilities of artificial intelligence and machine learning, Generative AI allows for dynamic, context-aware user interfaces that adapt in real-time to provide personalized user experiences. We will explore how this transformative technology can streamline design processes, facilitate user engagement, and open the doors to new forms of interactivity.
Navigating the Future of Learning and Development 2024 Outlook by Ravinder Tu...MdSaifulIslam289
Navigating the Future of Learning and Development 2024 Outlook by Ravinder Tulsiani
As we approach 2024, the landscape of Learning and Development (L&D) is undergoing a transformative shift, propelled by rapid advancements in technology and evolving workplace dynamics.
https://ravindertulsiani.com/
Learning and Development 2024 Predictions, L&D 2024 Outlook, Ravinder Tulsiani, Learning and Development
#LearningandDevelopment2024Predictions #L&D2024Outlook #RavinderTulsiani #LearningandDevelopment
How Technology Can Transform Learning - KNOLSKAPE Webinar SeriesKNOLSKAPE
We live in a golden era of learning. With rapid technological advancements, L&D professionals today have access to a plethora of choices to enable learning in their firms. However, challenges such as poor UI/UX features, low user engagement, dismal adoption and completion rates, etc remain. What kind of learning design can help overcome some of these challenges?
Vijay Kalangi and Subramanian Kalpathi help uncover some of the best practices when it comes to learning technology design, and also offer tips on what learning professionals can do to successfully adopt cutting-edge technology to enable learning for their organization.
Is your organization keeping pace with the speed of digital transformation? Many companies are struggling to define new job roles and approaches to management. As AI and machine learning take on tasks and services, what are the best ways to evolve your work force? This session will offer practical insights on:
Understanding what it means to be a digital organization.
Why learning and development must be everyone’s responsibility.
How to work across functions to co-create key new systems.
How to upskill using design thinking, agile practices and AI.
Ways to measure success.
How Xerox Services is Driving Learning Culture with New L&D TechnologiesDavid Blake
Bersin by Deloitte research suggests that the single biggest driver of business impact tends to be the strength of an organization’s learning culture. But most of today’s workers are increasingly overwhelmed, distracted and impatient. They’re also now empowered to direct more and more of their development, often using outside resources. As a result, building a culture of continuous, everyday learning is a growing challenge for many L&D teams. New tools and emerging technologies can help, but building and sustaining an effective learning culture also demands that L&D professionals embrace new ways of thinking and working.
In this presentation you will learn:
-What learners can teach L&D professionals about learning
-What types of technologies can enable continuous learning
-How Xerox Services University is leveraging a culture of continuous experimentation to build a habit of everyday learning
Learning & Development: A Prescriptive Vision for Accelerating Business SuccessCognizant
Corporate learning is increasingly critical to business, but traditional approaches are inefficient, overly rigid, fragmented and unconnected from employees' daily work - and thus ripe for transformation - as recent research reveals.
Thinking of Learners as Consumers – Can L&D deliver more than just Compliance...LearningCafe
What if employees were free to make a choice to consume or reject the Learning developed by L&D i.e be consumers? Mandatory learning including compliance courses has been the engine that has driven the adoption of eLearning as it provides trackable, cost effective and a scalable solution to ensure that employees have acquired essential knowledge.
Mandatory learning however rarely addresses the higher level skills and mindsets required by organisations to stay ahead of the competition today such as innovation, resilience, customer centricity etc. Social, informal and workplace learning falls in the discretionary category and have a poor track record in most organisations. Earlier this year we released the “LearningCafe Digital Manifesto for L&D,” which is the result of thinking at LearningCafe about how L&D should adapt to provide value in a fast changing and digitally disrupted world. One of the principles of this manifesto is “Thinking of Learners as Consumers”.
An experienced online panel discusses the opportunities and challenges of thinking of Learner as Consumers.
[NOTE: To learn more and watch a recording of this webinar, visit: https://www.watershedlrs.com/webinar-how-to-build-a-learning-tech-stack]
If you want to build and scale your learning programs for the future, you must start with a solid technology foundation. It's easy to get excited about the desired end product, and gloss over the most important details—the blueprint. To help you plan for a good program foundation, Watershed and Training Orchestra cover the needs of a good program blueprint.
The analytics education market in India is exploding with analytics institutes providing a slew of instructional courses that are in line with the industry demand. This study aims to provide an overview of the analytics education landscape in India, the type of learning models offered and how online learning has become an inherent part of the analytics ecosystem in India.
Skillslive is a learner-centric Learning Management System (LMS) and Learning Record Store (LRS) that is designed to help organisations increase learning engagement while enhancing an individual’s learning outcomes and improved organisational performance.
Skillslive enables on-demand education and contextual learning, collecting data and presenting analytics and insights to provide a 360° view within an organisation's learning ecosystem. Skillslive contributes to creating visibility across an organisation, its employees and contractors, plus aligning learning pathways with professional development, competencies, compliance, certification and accreditation.
Skillslive remains innovative and at the forefront of education technologies. Focusing on corporate learning ecosystems and the benefits that big data will contribute to creating visibility across an entire organisation at a local and global level. Additionally, the utilisation of cognitive systems that are able to exhibit adaptive, proactive and emotive behaviour. When implemented in support of educational activities a connection between communities and the process of learning, content delivery, assessment and collaboration can all be individualised, measured and presented in an enterprise dashboard. What drives this process is a common cognitive framework that humans use to inform their decisions: Observe, Interpret, Evaluate, and Decide.
The Skillslive Digital Learning Solution has identified with the need for a software application upon which an individual can engage with content through self-organised educational models, benefit from proven social collaboration and be encouraged through the sharing of their efforts with industry professional mentors and peer groups. The purpose of this tool is to assemble the large concepts of education and make them more accessible and consumable by the individual.
Skillslive Pty Ltd was recently acquired by Loft Ventures Pty Ltd. Loft Ventures has a portfolio of technology companies focused on global opportunities though cloud infrastructure and scalable technology. Skillslive was formed to execute a global commercialisation strategy for the Loft Group Digital Education Platform.
Read the latest Product Deck for the SkillsLive LMS. SkillsLive is a learner-centric Learning Management System (LMS) and Learning Record Store (LRS) that is designed to help organisations increase learning engagement while enhancing an individual’s learning outcomes and improved organisational performance.
This Learning Assessments contains Roadmap with
• 12 New HR Trends and predictions for 2022 you should plan
• Use Online Assessment tools to create a greater impact on L&D 2022
• Creating an assessments toolkit for data driven L&D in 2022
• How will AI/ML Define the Future of Recruitment in Tech?
• A Successful Plan for Your Next Campus Recruiting Strategy
• How to Conduct Coding Interviews – Cheat Sheet
For more Information visit on https://yaksha.com/?utm_source=Referral&utm_medium=SEO+Submission&utm_campaign=Doc
The Democratization of Learning and DevelopmentDavid Blake
The future of learning and development (L&D) is already here. This new reality includes workers and their managers sharing more of the responsibility than you might be used to. That doesn’t mean your L&D organization, practices, and tools are obsolete—they still play an important role. But they do need to evolve. These days, the most successful chief learning officers do more than just supply learning. They also enable their workers to take learning into their own hands.
Strategic Talent Management and Development online learning programme, facilitated by Dr Charles Cotter. Best practice principles, tools and processes.
Four (4) Critical Success Factors to Build Sustainable Remuneration Strategies_Balancing People and Profit_presented by Dr Charles Cotter at the SLAZEISI Conference on 20 November 2023
Evidence based Talent Analytics and Data driven Talent Management Strategies.pdfCharles Cotter, PhD
Evidence based Talent Analytics and Data driven Talent Management Strategies presented by Dr Charles Cotter at the 2nd African HRM Professionals Strategy Bootcamp, 30 March 2023, in Kempton Park.
Learning Prospectus of Dr Charles Cotter, of the training programmes that he specializes in:
Management/Leadership
(Strategic) Human Resources Management
(Strategic) Learning and Development
Business Communication
Power/Soft Skills
Strategic Talent Management_Best Practice Principles and Processes.pdfCharles Cotter, PhD
Strategic Talent Management - Best Practice Principles and Processes, across the S-P-A-R-M-E-D talent management value chain, facilitated by Dr Charles Cotter
Human Resources Management (HRM) Value Chain Processes, Organizational Cultur...Charles Cotter, PhD
Human Resources Management (HRM) Processes, Organizational Culture and Organizational Change Management training programme, facilitated by Dr Charles Cotter, July 2021
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Recruiting in the Digital Age: A Social Media MasterclassLuanWise
In this masterclass, presented at the Global HR Summit on 5th June 2024, Luan Wise explored the essential features of social media platforms that support talent acquisition, including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok.
Buy Verified PayPal Account | Buy Google 5 Star Reviewsusawebmarket
Buy Verified PayPal Account
Looking to buy verified PayPal accounts? Discover 7 expert tips for safely purchasing a verified PayPal account in 2024. Ensure security and reliability for your transactions.
PayPal Services Features-
🟢 Email Access
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How artificial intelligence is revolutionizing learning and development practices throughout the addie value chain
1. HOW ARTIFICIAL INTELLIGENCE (AI) IS
REVOLUTIONIZING LEARNING AND
DEVELOPMENT (L&D) PRACTICES
CHARLES COTTER PhD, MBA, B.A (Hons), B.A
www.slideshare.net/CharlesCotter
SIERRA HOTEL, RANDBURG
16 AUGUST 2018
2. PRESENTATION
OVERVIEW
• The current context and
the future of learning
and development (L&D)
– the rise Intelligent
Learning
• The business case for AI
in L&D
• Ways in which AI is
revolutionizing L&D
practices, throughout
the L&D ADDIE value
chain
3.
4.
5. THE FUTURE OF L&D
• Strategic goal: To transform to be a Strategic Learning Partner (role)
• Strategic objective: To create a HILO (High Impact Learning
Organization)
• Q1: So how strategic is L&D?
• Q2: Is AI the solution – the driver/accelerator of change?
• Transform from training to L&D navigation:
❑Learn more intelligently (smarter)
❑Learn with impact
❑Learn faster
8. STRATEGIC L&D MATURITY MODEL
Level 4: Strategic L&D
(mean range of 3.5 - 4.0)
Level 3: Transformational L&D
(mean range of 3.0 - 3.49)
Level 2: Transactional L&D
(mean range of 2.5 - 2.99)
Level 1: Traditional L&D
(mean range of 1.0 - 2.49)
10. THE FUTURE OF LEARNING AND
DEVELOPMENT (COTTER, 2018)
• #1: Transition from e-learning to mobile (m)-learning
• #2: More video-based, on-demand micro-learning
• #3: Learners taking more ownership and responsibility for
their learning
• #4: More use of Virtual Reality in the traditional learning
space
• #5: Technology-enabled and digital learning devices – the
rise of Augmented learning
• #6: Transition from training facilitators to Learning Navigators
11. THE FUTURE OF LEARNING AND
DEVELOPMENT (COTTER, 2018)
• #7: Less focus on learning content and more focus on the learner
experience
• #8: Less focus on learner assessment and qualifications and more focus on
holistic application and transfer of learning
• #9: Less formal training and more focus on social and experiential learning
(refer to the 70-20-10 model of learning)
• #10: Transition from books to MOOC’s
• #11: Transition from digital learning to Intelligent learning
• #12: Use of a Strategic L&D Scorecard and adoption and implementation
of the Strategic L&D Conceptual Framework (Cotter, 2017).
12.
13. THE FUTURE
OF LEARNING
• Companies are
finding that AI is
allowing them to
succeed more than
their competitors
that don’t use AI.
• AI is a driver of the
future of learning
and the disruption
of digital learning.
14.
15. IMPROVEMENT RECOMMENDATIONS –
SLP (COTTER, 2018)
• CURATE - from providing training programmes to providing business valued
learning solutions;
• CREATE – an enabling high impact learning organization (HILO) culture and
improved learner experience (Lx);
• NAVIGATE - from being people pleasers and comfort-seekers to making
employees competitive and competent;
• MIGRATE - from traditional, manual methods to technology-enabled learning,
augmented and intelligent learning;
• EDUCATE - transform from training departments to learning factories
(repositories of knowledge) and
• GRADUATE - from being transactional (administrative) to being
transformational (strategic) i.e. from training administrators to being strategic
learning partners.
16. THE BUSINESS CASE FOR AI IN L&D
• #1: Personalization - More individualized learning experiences (Lx) - AI creates
immersive, engaging and meaningful experiences, not lessons e.g. Google's
AlphaGo
• #2: Gap Analysis - AI emphasizes areas that need improvement and provides
recursive feedback for such improvement
• #3: Acceleration - With machine learning, the ability of employees to move from
novice to expert will be fast-tracked, collapsing the development timeline from
years to months.
• #4: Assessment - AI creates intuitive, intelligent tests and quizzes. AI will also
make it possible to assess and recommend tailored learning solutions quickly.
• #5: Accessibility and Multiple Learning Interfaces (MLI) – AI creates smarter
learning interfaces for employees e.g. 3D, virtual reality and simulation. AI is an
enabler of learning on-demand and curates and recommends learning content
just as needed.
17. THE BUSINESS CASE FOR AI IN L&D
• #6: Optimization of comprehension and retention - AI will also begin to be used as virtual
mentors more to increase the number of experiential learning employees are put through
to ensure their comprehension and retention of the learning material is effective. Feedback
loops and ongoing, automated performance support provide reinforcement and practice
that can extend skills development.
• #7: Trouble shooting and Adaptation - Learning and Teaching software is adaptive to
relationships, abstract concepts, real-world use and individual learning related
requirements of a learner. The benefit of AI comes from its ability to evaluate, learn and
adopt a dynamic strategy – AI solves problems that baffle most humans.
• #8: Productivity and Flexibility - By using online training modules, employees can remain at
their desks and still engage the material thoroughly. The flexibility allows them to choose a
time where they won’t be preoccupied with work commitments that can all serve as a
learning distraction. AI allows managers to provide more training at a significantly lower
cost.
• #9: Accuracy of Measurement - AI measures employee engagement more effectively and
compares the results to determine if the program is doing its intended job.
• #10: Business Intelligence and Predictive Analytics – AI creates more detailed reports on
training effectiveness and ROI.
18.
19. HOW AI IS
IMPACTING
ON
TRAINING
NEEDS
ANALYSIS
(TNA) AND
ID OF
SKILLS
GAPS
• AI and ML enable the system to make
recommendations beyond a particular topic to
analyze what their training teammates and
people with similar interests are taking.
• The advantage of cognitive technology is that it
can handle vast amounts of structured and
unstructured data with a speed and accuracy to
find training courses that match employees
current career experience.
20. HOW AI IS
IMPACTING
ON
TRAINING
NEEDS
ANALYSIS
(TNA) AND
ID OF
SKILLS
GAPS
• Progressive companies are experimenting with other
software that uses ML to identify skills gaps
of upwardly mobile employees.
• The EdCast learning platform uses AI to suggest
training paths for employees.
• AI and ML are enablers of better understanding
learner behaviours and predict needs by
recommending and positioning content based on
past behaviour.
21. HOW AI IS IMPACTING ON LEARNING
DESIGN AND DEVELOPMENT
• In most workplaces, training is episodic and not continuous.
• By using AI to help analyse the current status, role, behaviour,
satisfaction, engagement and sentiment of each employee,
companies will be able to deliver training and skills development
opportunities to employees at the right time to support career
path planning and retention.
• AI and ML show promise in making it easier for L&D professionals
to connect the dots between metrics around key organizational
challenges.
• The key lies in using workplace analytics tools for measuring these
soft skills and then using AI and ML to identify which training
approaches support people in becoming measurably better all-
around contributors.
22. HOW AI IS IMPACTING ON LEARNING
DESIGN AND DEVELOPMENT
• ML is being used to improve instructional content
creation and to enable faster instruction design.
• AI will also be able to enhance and streamline
content development for instructional designers.
• AI will free up time for L&D professionals to
concentrate on creating quality content for
learners.
23.
24. HOW AI IS IMPACTING ON LEARNING
DESIGN AND DEVELOPMENT
• With so many open source options for learning, it almost doesn’t
make sense for a company to create its own virtual platform.
• However, distinguishing high-quality content aligned with
company values and culture is a critically important skill, which
makes a case for customized, company-specific content.
• According to Bersin (2017), “Yes it’s important for employees to be
able to quickly find the content they want.”
• The introduction of AI technologies to learning on demand will
provide additional speed and accessibility for both L&D and the
employees the departments support.
25.
26. LEARNING STYLES
• Learning styles impact the development of learning solutions.
• The introduction of AI may not only help new hires learn more
quickly but may also free up L&D departments to be able to
provide more face-to-face coaching options.
• A person’s learning style may be influenced by age, ethnicity and
cultural background, which must be factored into the
development process e.g. Millennials reported being a little more
interested in microlearning, with a preference for short how-to
videos.
• But across the board, all ages wanted face-to-face, live training.
And, contrary to popular belief, millennials want face-to-face
training even more than others. Why? Part of the reason is the
constant desire for learning.
• Studies have found that the number-one complaint of new hires in
entry-level positions is that they aren’t learning fast enough. New
hires also say they would like more hands-on help from managers
or peers.
28. ALGORITHMS AND LEARNING STYLES AND
PREFERENCES
• Among the most interesting are apps that use AI to
create interactive tests and assessments to match test
takers’ personal learning styles and engagement
levels.
• Similar to Lumosity’s interactive brain games, these
tools generate countless data points about users as
they learn, including their pace and learning style.
• For L&D professionals, such innovations highlight the
need for customized learning paths and data-driven
approaches to employee development.
29. HOW AI IS IMPACTING ON LEARNING
IMPLEMENTATION/DELIVERY
• Given the AI capacity to adapt, targeted learning instructions can be
developed that are based on their relative strengths and weaknesses.
• It also reduces the meaningless work that trainers have to periodically do.
• AI can make learning a lot more interesting than traditional delivery
methods:
❑ It can create the sort of immersive experience that you need in order to
captivate and stimulate learners and lead to better levels of retention and
understanding.
❑ For example, game technology and simulation are expected to play major roles
in this regard.
❑ AI can actually make education, learning and teaching a lot more adaptive and
intuitive.
❑ Such technology can actually be used in order to encourage learners to come
together and develop knowledge themselves i.e. create knowledge
communities.
30. AI IN E-LEARNING SYSTEMS
• AI is allowing teaching software to be adaptive to individual learning types
to increase positive outcomes of online learning.
• AI also emphasizes areas that need improvement in teaching software.
• This is allowing online systems to generate better material and more
comprehensive testing.
• AI creates meaningful lessons by identifying particular learner needs and
comes up with models that focus on methods and reason to improve
problem areas.
• AI has the ability to evaluate, learn and adopt new strategies to come up
with solutions for problem areas users may be facing.
• One of the best benefits of AI in e-learning is that students can learn at
their own pace to retain the information better.
31. AI IN BLENDED
LEARNING
• The kinds of programs
that are most
successful today will
continue to be most
successful in the future
– programs that blend
online, virtual and
face-to-face learning.
32. AI AND VIRTUAL REALITY (VR) AND
AUGMENTED REALITY (AR)
• According to Accenture Consulting (2017), digital learning methods, such as
virtual reality and augmented reality technologies can provide realistic
simulations to enable workers to master new manual tasks, so they can
work with smart machinery.
• These digital technologies can reinforce correct procedures on the shop
floor, monitoring how employees execute tasks and coaching them to
optimise procedure and their performance.
• Workers want to know how to perform their jobs with excellence, but they
often require continued education to stay at the front of their field.
• Managers can’t continuously encourage employees to take entire days away
from their work in the interest of corporate training. However, they can
make digital learning with artificial intelligence available at a worker’s
convenience.
33. COUNTERPOINT
• Refer to the article, 5 REASONS
WHY VIRTUAL REALITY AND
RELATED TECHNOLOGY–
ENABLED DEVICES ARE
UNLIKELY TO BE THE NEXT LEAP
IN LEARNING IN S.A
(Cotter, 2017)
• https://www.linkedin.com/puls
e/5-reasons-why-virtual-
reality-related-devices-unlikely-
charles-cotter/
34. INTELLIGENT TUTORING
SYSTEMS
• Just like human tutors can do, intelligent
tutoring systems are able to understand
the style of learning preferred by
students. They are also able to gauge
the amount of knowledge that a learner
already has.
• All this data and analysis is being used to
deliver instructions and support that is
created specifically for that learner.
35. CASE STUDY: AI IN EDUCATION (GIT)
• At Georgia Institute of Technology, 2017, Jill Watson,
powered by IBM Watson analytics, became the ninth
teaching assistant for an online course taught by
Professor Ashok Goel entitled, Knowledge Based Artificial
Intelligence.
• Professor Goel estimates that within a year, Jill Watson was
able to answer 40% of all the students’ questions, freeing the
human TAs to tackle more complex technical inquiries.
• In fact, one student reported, "Just when I wanted to
nominate Jill Watson as an outstanding TA, always there
reminding us of due dates and posting questions to engage us
mid-week, I find out she is a chatbot. I was flabbergasted."
36. MICRO LEARNING
• With micro-learning
gaining popularity, learning
modules are being
increasingly broken up into
more digestible pieces,
providing employees with
access to learning material
when they need it - ‘just in
time’ learning.
37. CREATING A GLOBAL LEARNING PLATFORM –
MOOCs, COOCs and SPOCs
• With AI it would be possible for companies to create virtual
global learning platforms. It would no longer matter as to
where a learner is located. If they are unable to attend a
training session all they would need to do is visit a link, click
on it and the learner can join the live classroom.
• Similarly, thanks to this technology it would also be possible
for learners to interact with their peers even if they were a
thousand miles apart from each other.
• Hadley Ferguson (Edcamp Foundation) states that learners
can actually use such technology in order to interact with
their trainers as well as famous authors, experts, and
scientists, whose books they may be reading for that training
module.
38.
39. COULD AI TRAIN HUMANS?
• Yes, it’s similar to many of the AI aids we now use e.g. Google
Maps. It’s possible that AI could train humans. The training that AI
can provide will result in humans learning more difficult and
creative jobs.
• A few companies are now on the path of making cloud-based
training programs possible. They have done this by simply
gathering massive amounts of data on one subject and
categorized the data so that the data becomes a training tool.
• This AI training is not done in a training room with other learners,
but is one that ‘’listens in’’ on conversations, such as sales and
make recommendations to the ‘’learner’ about better words to
use, suggests alternate tasks and makes other recommendation
that will make sales more likely.
40. COULD AI REPLACE TRAINERS?
• Experts such as Shannon May, who has founded the Bridge
International Academies, say that technology would never drive
trainers completely out of the fray.
• A more likely scenario, would be trainers, skilled in the ways of
using technology, driving the usage of AI based on the needs of
their learners.
• Education technology, such as AI would be used more to
supplement the best ways of teaching and learning that exist
already.
• Jake Schwartz, co-founder and CEO of General Assembly, states
that there is no way that going online completely is going to solve
all the problems with corporate education now - the human factor
would always be important.
41. CASE STUDY: CHATBOTS IN LEARNING
(MIT AND FREEMAN)
• MIT Media Lab startup, GiantOtter is using AI to develop and train a bot, Coach Otto, to
provide online coaching for companies.
• An employer can use a chatbot to participate in an extended conversation as a coach or
companion amplifying a person’s ability to do their job.
• In the case of Coach Otto, this is preparing a manager to have a difficult conversation with a
team member.
• Chatbots are also being used as a learning reinforcement following a traditional training
program.
• This is the case with Freeman, a brand experience company. Freeman trains its sales staff on
the basics of selling with a course called Selling Fundamentals. But Freeman needed a
reinforcement strategy to help sales people apply sales skills on-the-job.
• Their solution: Coach TopGun SellFun, a chatbot designed to improve the retention of new
skills from the Selling Fundamentals program.
43. HOW AI IS IMPACTING ON
LEARNING EVALUATION
• It's important for L&D management to identify
useful metrics that can guide upskilling efforts.
• Efficiency (level 1) and effectiveness (level
2): Machine learning is intended to enable the
ability to track real-time program efficiency and
effectiveness, thereby conserving resources and
reducing training investment costs.
• Behavioural change – level 3 (transfer of learning) -
With AI, you can use the built-in testing
mechanisms to judge just how focused your
workers are on the content. This data can be used
to continue motivating employees through inner-
office rankings. Refer to Mindmarker.
45. HOW AI IS IMPACTING ON LEARNING
EVALUATION
• Impact (level 4): Upskilling employees through machine
learning platforms is intended to improve targeted
performance outcomes, both in terms of inspiring
measurable positive people impact and driving
demonstrable value creation for the business.
• Prediction and prescription (level 5) - leading indicators can
be used to improve the probability of success by making
corrections going forward, rather than by looking back and
using historical lessons that may not apply.
• It could also be used to identify which workers meet the
criteria for a promotion.
46. MONITORING LEARNER PERFORMANCE
• AI makes it a lot easy for L&D management to keep track of
how well or poorly the learners are performing.
• Such systems can be used to deal effectively with the vast
volume of data and statistics that these institutions normally
have.
• They can use these to create definite reports that help them
understand the progress being made by various learners.
• The best part of all this is that such reports can be created as
many times as needed.
• The quality of data can be enhanced as well.
47. HOW AI IS IMPACTING ON LEARNING ASSESSMENT AND
LEARNER PERFORMANCE
• These days, machines have become a lot more
advanced than what they were earlier. They are
now capable of performing a lot more than just
assessing an examination by using an answer key.
• They are capable of compiling data regarding how
learners have been performing.
• They can also assess assignments that are as
subjective as essays.
48. HOW AI IS IMPACTING ON
QUALITY ASSURANCE
• AI has the capacity to find out gaps in course
content on the basis of how learners are
performing in the assessments.
• AI can actually look into patterns and see if certain
information or concepts are missing from the
program’s curriculum or not.
• This, in turn, can help learning designers provide
better materials or use better methods of learning
so that learners can improve in those areas.
50. LIST OF SOURCES
• Bersin, J. 2017. The Disruption of Digital Learning: Ten Things We Have Learned.
• Cotter, C.A. 2017. Transforming learning and development into a strategic, value-adding
business solution: A conceptual and business-minded framework. NWU. PhD research.
https://www.slideshare.net/CharlesCotter/charles-cotters-phd-research-findings-
recommendationsstrategic-ld
• Cotter, C.A; Gerber, P.D. & Schutte, N. 2018. Proceedings of AC 2018 in Prague, pg. 142-149,
Academic Conferences Association, Czech Technical University, ISBN 978-80-88085-20-1
• Deloitte Consulting LLP. 2018. Global human capital trends report for South Africa 2018.
Oakland, CA: Deloitte University.
• https://elearningindustry.com/future-artificial-intelligence-in-elearning-systems
• https://fedena.com/blog/2018/03/artificial-intelligence-in-education-how-it-improves-the-
leaning-experience.html
• https://www.forbes.com/sites/jeannemeister/2018/01/11/ai-plus-human-intelligence-is-
the-future-of-work/#11fab8042bba
51. LIST OF SOURCES
• LinkedIn Learning Solutions. 2018. 2018 Workplace Learning Report: The
Rise and Responsibility of Talent Development in the New Labour Market.
• https://searchhrsoftware.techtarget.com/feature/How-AI-and-machine-
learning-help-in-upskilling-employees
• https://www.thetechedvocate.org/artificial-intelligence-is-the-future-of-
corporate-
education/?utm_source=ReviveOldPost&utm_medium=social&utm_campai
gn=ReviveOldPost
• https://www.techfunnel.com/hr-tech/future-of-ai-in-corporate-training-
and-development/
• https://trainingindustry.com/articles/learning-technologies/the-impact-of-
ai-on-learning-and-development/