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.
A conceptual framework for learners self directing their learningInge de Waard
5 slides sharing information on the chapter I wrote for the book "Emerging Technologies and Pedagogies in the Curriculum. It also refers to an early Ethics in AI slide deck, expressing the need and urgency of making AI effects transparent.
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.
Education and the Use of Artificial IntelligenceIJEACS
This paper explains how Artificial Intelligence (AI) can and is being applied in the educational sector. Artificial Intelligence in the educational sector is one of the currently expanding disciplines in educational technology, according to the 21st International Conference on Artificial Intelligence in Education, held in 2020. Educators are still unsure how to apply AI for pedagogical purposes on a larger scale, or how AI will affect teaching and learning in higher education. The impact of AI in education, as well as its benefits and drawbacks, are discussed. It also explains how to construct an AI-enabled platform for education, as well as the consequences of AI in education.
Artificial intelligence (AI) is making headlines in newsrooms across the world. One of the latest trends we’ve seen is in the education system, and it’s made many people wary of the ramifications that using Artificial Intelligence in the classroom will have.
While AI can never replace human teachers, it can play a great role in the classroom. Read on to learn more.
A conceptual framework for learners self directing their learningInge de Waard
5 slides sharing information on the chapter I wrote for the book "Emerging Technologies and Pedagogies in the Curriculum. It also refers to an early Ethics in AI slide deck, expressing the need and urgency of making AI effects transparent.
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.
Education and the Use of Artificial IntelligenceIJEACS
This paper explains how Artificial Intelligence (AI) can and is being applied in the educational sector. Artificial Intelligence in the educational sector is one of the currently expanding disciplines in educational technology, according to the 21st International Conference on Artificial Intelligence in Education, held in 2020. Educators are still unsure how to apply AI for pedagogical purposes on a larger scale, or how AI will affect teaching and learning in higher education. The impact of AI in education, as well as its benefits and drawbacks, are discussed. It also explains how to construct an AI-enabled platform for education, as well as the consequences of AI in education.
Artificial intelligence (AI) is making headlines in newsrooms across the world. One of the latest trends we’ve seen is in the education system, and it’s made many people wary of the ramifications that using Artificial Intelligence in the classroom will have.
While AI can never replace human teachers, it can play a great role in the classroom. Read on to learn more.
Presentation by Alexandra I. Cristea, Durham University, 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
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas.
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas.
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas.
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas.
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas.
NASSCOM FutureSkills Prime – Bridging Demand-Skill gap in IT sector OnlineLearning8
FutureSkills Prime is a joint initiative undertaken by MeitY & NASSCOM to drive digital upskilling at the national level.
It brings high-quality content handpicked by industry experts in 10 emerging technologies like AI, Big Data Analytics, Cybersecurity & 10 professional skills such as creative problem solving, digital leadership, communication skills, etc. For more information, visit https://futureskillsprime.in/
Machine Learning Salary Trends - Great LearningGreat Learning
Machine learning, a subset of Artificial Intelligence is the study of making machines more human-like in their behavior and decisions by giving them the ability to learn on their own. Machine learning can automate any tasks especially those which only humans can perform with their innate intelligence. It is being widely applied across every industry to enhance efficiency and increase profits. Since the domain is growing there is a substantial requirement for skills around machine learning. Major building blocks of machine learning are the model, parameters, and the learner.
SCSA's WA curriculum differs slightly from ACARA's and the new Digital Technologies subject warrants examination. With a secondary focus on coding and computational thinking, this slideshow was used at WA schools to assist in unpacking these components.
How can we make more innovative engineersSuman Debnath
There are lots of engineer graduated every year. All of them are not getting job. There is no balance between number of job vacancy and candidate appeared. For a single post there are lots of candidates. Though the entire candidates are well educated but still they are not getting job. If engineering field is a place for exploring creativity then why these creative people will not getting job? In this article there is a solution of this big issue.
This 20 slide presentation, starts with an overview of AI, showing some AI tools, and sharing examples of AI for education options. The learning outcome of this presentation is to provide AUW students an insight into AI and how they can use it within their courses. By including short examples, it makes it easier to embed AI interactions into their courses.
UNESCO learning week: HR, adaptive learning in the Deap project questioning i...Inge de Waard
This brief ppt gives an idea of the Skills 3.0 or DEAP project that I am currently co-working on (me for the educational part) together with my other great InnoEnergy colleagues. The project combines the emergence of skills and competencies identified through a Human Resource oriented AI (screening industry road maps), analyzing engineering resumes and answering the resulting skills gap to an adaptive learning path by reusing learning elements in an 'intelligent way’.
Presentation by Alexandra I. Cristea, Durham University, 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
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas.
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas.
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas.
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas.
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas.
NASSCOM FutureSkills Prime – Bridging Demand-Skill gap in IT sector OnlineLearning8
FutureSkills Prime is a joint initiative undertaken by MeitY & NASSCOM to drive digital upskilling at the national level.
It brings high-quality content handpicked by industry experts in 10 emerging technologies like AI, Big Data Analytics, Cybersecurity & 10 professional skills such as creative problem solving, digital leadership, communication skills, etc. For more information, visit https://futureskillsprime.in/
Machine Learning Salary Trends - Great LearningGreat Learning
Machine learning, a subset of Artificial Intelligence is the study of making machines more human-like in their behavior and decisions by giving them the ability to learn on their own. Machine learning can automate any tasks especially those which only humans can perform with their innate intelligence. It is being widely applied across every industry to enhance efficiency and increase profits. Since the domain is growing there is a substantial requirement for skills around machine learning. Major building blocks of machine learning are the model, parameters, and the learner.
SCSA's WA curriculum differs slightly from ACARA's and the new Digital Technologies subject warrants examination. With a secondary focus on coding and computational thinking, this slideshow was used at WA schools to assist in unpacking these components.
How can we make more innovative engineersSuman Debnath
There are lots of engineer graduated every year. All of them are not getting job. There is no balance between number of job vacancy and candidate appeared. For a single post there are lots of candidates. Though the entire candidates are well educated but still they are not getting job. If engineering field is a place for exploring creativity then why these creative people will not getting job? In this article there is a solution of this big issue.
This 20 slide presentation, starts with an overview of AI, showing some AI tools, and sharing examples of AI for education options. The learning outcome of this presentation is to provide AUW students an insight into AI and how they can use it within their courses. By including short examples, it makes it easier to embed AI interactions into their courses.
UNESCO learning week: HR, adaptive learning in the Deap project questioning i...Inge de Waard
This brief ppt gives an idea of the Skills 3.0 or DEAP project that I am currently co-working on (me for the educational part) together with my other great InnoEnergy colleagues. The project combines the emergence of skills and competencies identified through a Human Resource oriented AI (screening industry road maps), analyzing engineering resumes and answering the resulting skills gap to an adaptive learning path by reusing learning elements in an 'intelligent way’.
AI Pioneers: Developing a Community of Practice for Artificial Intelligence ...Graham Attwell
This is the slides of a presentation by Ludger Deitmer from the ITB, University of Bremen at the Crossing Boundaries, Conference in Kaunus in May2023. It forms part of the AI Pioneers Conference on AI and Adult Vocational Education and Training
Presentation at the 16. ecoMEDIA-europe Thematic Conference & Training Course
„Education under the sign of digitalisation“, 25th-29th September 2023, Varpalota, Veszprém-Balaton, Hungary.
International Journal of Artificial Intelligence in Education(IJAIE) MiajackB
International Journal of Artificial Intelligence in Education(IJAIE) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications Artificial Intelligence in Education. The Journal looks for significant contributions to all major fields of Artificial Intelligence in Education in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas Artificial Intelligence in Education.
International Journal of Artificial Intelligence in Education(IJAIE) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications Artificial Intelligence in Education. The Journal looks for significant contributions to all major fields of Artificial Intelligence in Education in theoretical and practical aspects.
LInternational Journal of Artificial Intelligence in Education(IJAIE) ijfcst journal
International Journal of Artificial Intelligence in Education(IJAIE) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications Artificial Intelligence in Education. The Journal looks for significant contributions to all major fields of Artificial Intelligence in Education in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas Artificial Intelligence in Education.
International Journal of Artificial Intelligence in Education(IJAIE) MiajackB
International Journal of Artificial Intelligence in Education(IJAIE) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications Artificial Intelligence in Education. The Journal looks for significant contributions to all major fields of Artificial Intelligence in Education in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas Artificial Intelligence in Education.
International Journal of Artificial Intelligence in Education(IJAIE) MiajackB
International Journal of Artificial Intelligence in Education(IJAIE) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications Artificial Intelligence in Education. The Journal looks for significant contributions to all major fields of Artificial Intelligence in Education in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas Artificial Intelligence in Education.
International Journal of Artificial Intelligence in Education(IJAIE) MiajackB
International Journal of Artificial Intelligence in Education(IJAIE) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications Artificial Intelligence in Education. The Journal looks for significant contributions to all major fields of Artificial Intelligence in Education in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas Artificial Intelligence in Education.
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Artificial Intelligence in Education and establishing new collaborations in these areas.
From the Personal Smart Cities to the Smart Education, a Journey for AcademyManuel Castro
Keynote of Martin Llamas (University of Vigo) and Manuel Castro (UNED) in Ucami 2019, December 2nd to 5th in Toledo, Spain, about " From the Personal Smart Cities to the Smart Education, a Journey for Academy"
http://mamilab.esi.uclm.es/ucami2019/keynotes.html
The concept of Smart is gaining new areas and new topics as is spreading around all actions in our daily life. Smart Cities are one of the "oldest" terms but the new vision of the Personal Smart Cities are increasing the focus on the living aspects of the intelligence around us. Ubiquitous and smart intelligence are converging paradigms to feed machine and deep learning algorithms bringing support and exploiting big data and analytics to improve the efficiency of our technological systems and to have a better quality on our lives. Ambient Intelligence is one of the sources of the Smart Learning and Smart Education, where methodology goes hand-to-hand with technology, sensors, equipments and new learning views where the open aspects (open learning, lo, ocw, moocs, etc.) are having a more important role as well as are increasing the connection on our social networks and the life-long learning paradigm that is converging with our future
This is an article about educational app development. It discusses the growth of the ed-tech market and the importance of technology in education. The article also outlines key features of successful ed-tech platforms. Some of the important points from this article are that ed-tech platforms should be user-friendly and accessible, and they should use technology to personalize the learning experience.
International Journal of Artificial Intelligence in Education(IJAIE) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Artificial Intelligence in Education . The journal focuses on all technical and practical aspects of Artificial Intelligence in Education.
Presentation for DTCE at Manchester University looking at a range of digital projects I have worked on since 1995 and highlighting some possible digital futures of education
Presentation at first meeting of the Erasmus Plus project 'Improving skills and competences of VET teachers and trainers in the age of Artificial Intelligence'.
Similar to Artificial Intelligence in Education focusing on the Skills3.0 project (20)
OEB 2023 Co-learning To Speed Up AI Implementation in Courses.pptxInge de Waard
This presentation shares the steps that EIT InnoEnergy teachers have taken to get up to speed with AI. The presentation shares use cases, tools, pedagogical options to embed AI in courses, and tools regarding assessments. The presentation was given at Online Educa Berlin 2023.
Keynote AI assessment tools: online exams and tools.pptxInge de Waard
This keynote gives an overview of why and how AI tools for assessment purposes can be used. One part of the presentation covers AI-based Proctoring Systems, another part moves closer into AI tools for assessments, and a last part looks at university guidelines, ethical considerations, some pedagogical options to embed AI tools for students while they work on projects, and some AI tool resources.
Sharing share the toolkit that was made by Stella Lee, PhD. in alignment with the InnoEnergy teachers' needs and requests. Explore the toolkit and try out some of the curated tools per teacher area (administration, research, teaching & learning). And feel free to share resources, or add questions related to #AI topics and join the AI for teachers community on LinkedIN (https://www.linkedin.com/groups/12892003/ )
OEB CoP November 2022 overview ppt.pptxInge de Waard
Short overview of pedagogical approaches (moonshot approach, Case method, Challenge Based Learning) used at EIT InnoEnergy to enhance Community of Practitioners across students, teachers, business, start-ups ... across the EIT CommUnity. How these learning approaches lead up to a stronger Community of Practitioners between Master students, Teachers, Businesses, Policy Makers and other stakeholders.
2021 KTH SoTL keynote on Learning SpacesInge de Waard
Learning spaces become ever more important if we want to stay on top of the need to re/upskill people. The learning space of a university now coincides with professional learning spaces and personal learning spaces. Which learning spaces are there, and which actions do we need to take to increase the effect of learning spaces on the necessary learning? Have a look.
Student & Learner evaluation during and post COVID19Inge de Waard
These are the slides from a webinar I gave for the EDEN NAP series (European Distance Education Network). The session focuses on proctoring tools for online exams, the use of Open Book Exams and looks into online group exams as a means to cover multiple online evaluations.
Building the Skills Engine: our dreams realise the futureInge de Waard
These are the slides from a talk I gave at Online Educa Berlin 2019. The talk focuses on the skills engine, an AI engine (Natural Language Processing) that is
Learners self-directing their learning in MOOCs #Ectel2019Inge de Waard
Informal learning in MOOCs is under-investigated. In this presentation we share how adult learners self-direct their learning when engaging in FutureLearn MOOCs. Five areas influence self-directed learning: individual characteristics, technical and media elements, individual & social learning, structuring learning and context. This study also identified two inhibitors or enablers of learning: intrinsic motivation and personal learning goals, where these two factors increase or decrease the dynamics in the five areas of SDL.
This talk was given at a multiplier event organised by the University of Wolverhampton as part of the MOONLITE project (refugees, languages and moocs). In this presentation I share the experiences and approaches used to design one of the first MOOCs allround, and the first MOOC focused on mobile learning. The presentation looks at pedagogy, technology, community and impact of the course.
MOOCs and personal learning: reality or myth?Inge de Waard
This keynote was given during the TISLID18 conference in Ghent, Belgium. The talk focuses on two informal learning cases involving MOOC learners, and ends with questioning the personal learning myth that accompanies MOOCs.
Cost and time efficient dynamic learning defInge de Waard
Four practical options to enhance learner interaction in blended classes, cost efficient use of content, and ensuring teachers are used for their knowledge expertise by using flipped lectures.
Instructional Design Variation matrix - work in progressInge de Waard
Een Nederlandstalige presentatie over het concept (met voorbeelden) van de Instructional Design Variation matrix die momenteel wordt geschreven. Gegeven tijdens een van de break-out sessies bij LearningTechDay in Gents.
Presentation given during the teacher conference of InnoEnergy in Lisbon, Portugal. The presentation offers some blended learning options: video (adding interaction, simulation, 360 video), flipped lecturing, mobile learning options.
EdTech: communicating and learning virtually - Example of a flipped lectureInge de Waard
This presentation was part of a flipped lecture on EdTech communication and learning. It was used for a flipped lecture at the VUB (Vrije Universiteit Brussel) in May 2017. This lecture followed a previous learner action engaging in a MOOC discussion forum, and was followed by a fishbowl discussion to deepen the students perception of EdTech and communication.
How can an Instructional Designer help?Inge de Waard
The purpose of this presentation is to give an easy overview of what an Instructional Designer can add to transform courses given by Higher Ed teachers. This presentation was given in Stockholm, Sweden as part of the SELECT 2017 InnoEnergy meeting. This meeting brought all the SELECT partners together to see which educational elements could be transformed into online nuggets, modules or courses.
Academics should reclaim their voice in society, NOW!Inge de Waard
Slides inspired on a keynote given at EDEN2016 RW in Oldenburg, Germany.
I think we (all of us academics) should start reclaiming our place in society.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
3. www.innoenergy.com
The Skills 3.0 project
@Ignatia 3
AI in HR: data mining
emerging
skills/competencies of
the Sustainable Energy
industry (e.g. roadmaps)
AI in Education:
matching the
skills/competencies gap
and address it using
adaptive learning paths
professional
Skills gap
Future-Proof
learning
4. www.innoenergy.com
Overview of the topics of this talk
Evolution from teacher machine, over eLearning to deep learning
AI the hype: what is it?
Risks of AI, some ethical considerations
InnoEnergy’s skills 3.0 project (using AI for building future-proof learning)
What does this mean for us eLearning experts?
@Ignatia 4
5. www.innoenergy.com
Timeline from teaching machine to machine learning
@Ignatia 5
Teaching
Machine
(Skinner) –
Artificial
Intelligence
(1954)
eLearning
(1999)
Big Data
(2005)
CCK08
MOOC
(2008)
Learning
Analytics
(LAK 2011)
Deep
Learning
revolution
(2012)
6. www.innoenergy.com
Learning and machine learning coming together
6
Coming together Merging into new field
eLearning
Artificial
Intelligence
Business
indicators
Big Data
Machine
learning
Artificial
Intelligence
in Education
Monolithic development
11. www.innoenergy.com
What is an algorithm?
An algorithm is a set of rules to solve a problem.
It is programmable
It uses and can manipulate data.
@Ignatia 11
Input
(data)
Algorithm
Output
(data)
15. www.innoenergy.com
Some risks of algorithms programmed by the few resulting in complex
deep learning
Black boxes: the AI is seldom transparent, which means it
becomes hard to follow-up in results.
@Ignatia 15
20. www.innoenergy.com 20
Enhancing eLearning : Cognii: moving eLearning expertise to AI in ED
@Ignatia
Integrated Chatbot
(virtual assistant)
Natural Language
Processing (NLP)
assessments
21. www.innoenergy.com
Some really cool examples AI in ED: Magpie (provides learning options
based on challenges). Try it out for free
@Ignatia 21
23. www.innoenergy.com
The brilliance of teachers using AI innovatively
(e.g. Google Translate app)
For those not speaking Dutch or Polish:
I just shared a BIG secret ;)
@Ignatia 23
25. Possible solution to build a
future-proof learning loop
Introducing the
Skills 3.0 project
InnoEnergy @Ignatia
26. www.innoenergy.com 26
Digital Education Action Plan: Why? Stay Future-Proof
InnoEnergy wants to play a pivotal learning role, and offer the best energy and
innovation professional courses for business people/engineers
101 course Energy Introduction
https://mini-course.ise.innoenergy.com/
28. 4 steps to Building a future-proof learning loop
Find
Emerging
Industry
Needs
How:
• AI
screening
industry
reports,
road maps
• Workforce
evaluation
Pinpoint
Skills gaps
How:
• Analyse
between
skills
needed
and
profiles
available
Analyse
profiles
available
How:
• AI
screening
resumes
from
workforce
(white &
blue collar)
• Employabil
ity check
Personalized
training to
address
skills gap
How:
• AI to
automate
learning
segments
• Automated
course
creation
(x5GON)
• Hackathon
Build a
Future-
Proof
Learning
Loop
31. Digital Education Action Plan (DEAP) = Skills 3.0 project
• @Ignatia
31
AI in HR: data mining
emerging
skills/competencies of
the Sustainable Energy
industry (e.g. roadmaps)
AI in Education:
matching the
skills/competencies gap
and address it using
adaptive learning paths
Skills gap
32. Digital Education Action Plan (DEAP) = Skills 3.0 project
• @Ignatia
32
AI in HR: data mining
emerging
skills/competencies of
the Sustainable Energy
industry (e.g. roadmaps)
AI in Education:
matching the
skills/competencies gap
and address it using
adaptive learning paths
Skills gap
Future-Proof
Learning
33. 33www.innoenergy.com
Education-related challenges being tackled
33
• Granularity (nuggets) & micro-credits
• Courses available (production)
• IP control content delivery partners
IE challenges
•GDPR (willingness to share CVs)
•Revenue sharing conditions
•Licenses and revenue (authors, universities, IE)
Industry
•Automating course production parts
•Meaningful adaptive learning paths (reuse)AI
•Pedagogical continuity for reusing material
•Weighing skills & competenciesPedagogy
35. www.innoenergy.com
InnoEnergy is supported by the EIT,
a body of the European Union
Inge de Waard
Inge.deWaard@innoenergy.com
@Ignatia
Slideshare.net/Ignatia
+32 479 78 98 37
Team effort, thank you: Yves Peirsman, Marloes
Wichink Kruit, Anouk Gelan & Frank Gielen.
Also thanking Donald Clark from Wildfire learning
37. www.innoenergy.com 37
We increase the value of our Learning Portfolio, fitting the demands of the Industry
Increase (re)usability of course elements (cost reduction on course production)
Offering adaptable learning paths for in-company training (with certification)
It offers a Career Progression track with certification for learners (micro-credits)
Energy companies can invite successful learners for interviews (real vacancies)
The benefits of the DEAP project for InnoEnergy ?
(Image from UNESCO mobile learning week 2019).
Good afternoon ladies and gentlemen, colleagues. I am very grateful to be able to talk at this wonderful Elearning Fusion event.
Thank you Bartek for introducing the topic of AI from such a broad perspective. In my talk I will focus on AI in education, and move from the general overview to a more concrete example of a project I am currently working on.
In the last hour, while I was in Poland, I used the following tools
At the end I will show you the learning solution I am working on, the so called skills 3.0 project.
The first online learning teaching machine was invented by Skinner (Harvard university) in 1954.
At the same time machine learning took off, mostly shaped by computer scientists.
It took a couple of decades before the term eLearning emerged, embracing all types of online education.
In 2005 Roger Mougalas from O’Reilly Media coined the term Big Data for the first time, only a year after they created the term Web 2.0. It refers to a large set of data that is almost impossible to manage and process using traditional business intelligence tools.
CCK Connectivism and Connected Knowledge course was a course organised by Stephen Downes and George Siemens, both Canadians. Dave Cormier was one of the participants of the course, and he named it a Massive Open Online course or MOOC.
The first Learning Analytics & Knowledge conference was organized in 2011 in Canada. This development was crucial for the next steps in big data combined with education.
Some researchers assess that the October 2012 ImageNet victory anchored the start of a "deep learning revolution" that has transformed the AI industry. "Why Deep Learning Is Suddenly Changing Your Life". Fortune. 2016. Retrieved 13 April 2018.
Squirrel AI, the machine that regularly outperforms human teachers and redefines education by Wei Zhou
Squirrel AI is an AI to respond to the need for teachers in China. Based on knowledge diagnosis, looking for educational gaps. A bit like an intake at the beginning of a master education for adults.
Human versus machine competition for scoring education, and tailored learning content offerings. (collaborates with Stanford Uni). Also recognized by Unesco. (sidenote: it is clearly oriented at 'measurable, class and curriculum related content testing).
An algorithm is a set of rules to solve a problem. It can be any set of rules that is mathematically viable and programmable. It can also be used to manipulate data, so that a specific result is achieved.
AI is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
Based on algorithms.
Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. (e.g. Google draw)
Deep learning: based on pattern recognition in big data
Algorithms enter our homes, work, schools, institutes, habits… but in most cases they are invisible.
AI risks to replicate the norm (filter bubbles prove it).Explained in part by the similar profiles of the creators of these algorithms.
Easy to proof: in order to use online learning, English is used most frequently, simplified English with English jargon added. Written texts are the most frequently used form in content delivery and certainly in assessments. This leaves out non-written language based societies, and learn-by-mimicing behaviour.
Do we ethically support the use of English, written assessments as proof of learning?
A product is always a mirror of its creator.
See community bounding: https://medium.com/@joaomilho/fixing-the-filter-bubble-e360a2c9bfdc
AI risks to replicate the norm (filter bubbles prove it).Explained in part by the similar profiles of the creators of these algorithms.
Easy to proof: in order to use online learning, English is used most frequently, simplified English with English jargon added. Written texts are the most frequently used form in content delivery and certainly in assessments. This leaves out non-written language based societies, and learn-by-mimicing behaviour.
Do we ethically support the use of English, written assessments as proof of learning?
A product is always a mirror of its creator.
See community bounding: https://medium.com/@joaomilho/fixing-the-filter-bubble-e360a2c9bfdc
Cognii builds upon the classic learning platform, but enhances it with AI for tutoring and assessments
Cognii :
Virtual learning assistant (chatbot integrated)
Goodmorning ladies and gentlemen, colleagues,
The last couple of days, we were able to listen to the challenges that we are all facing. And one of those challenges is How to build a future-proof wind workforce.
This is not a simple task, as we know that wind energy is a rapidly evolving field.
I will share the skills3.0 project, which might provide a solution to some of the challenges to build a future-proof workforce.
But first let me start with a personal story. In my life I have switched careers RADICALLY four times. … and I am taking into account the one day I worked as a bullfighter to earn money… no, I am talking about Four longlasting career changes. The fourth time I did this, I really thought about it. Why did it work?
This is what I do, I look for emerging industries, as these are still developing. Then I looked for skills that were needed in these emerging fields, and then I started learning feroucisouly, with all my heart…. And in the end I got a new career…
So how do we build a future-proof workforce?
Value in purely providing courses, but to be competetitive we need to offer something more specific.
First of all we need to understand the emerging industry needs. We must find a way to predict where the industry is moving towards.
How do we do this first step?
By screening industry reports, road maps, white papers etcetera for emerging skills and competencies. We screen these reports by using an Artificial Intelligence or AI engine, that allows us to see which concepts are emerging, and which evolutions can be expected. If we know the evolutions of the wind industry, we can predict which profiles or which type of workforce we will be needing.
This is where step 2 of the cycle comes in. As soon as we understand the upcoming competencies and skills that will be needed, we need to pinpoint skills gaps that exist between the industry’s needs, and the competencies and skills of the workforce that is currently available.
Which brings me to step 3 in the process: analysing the profiles that are available and ranking them in terms of usefulness.
How do we do that? By using an AI engine to screen resumes from the workforce (both blue and white collars). We look at their current employability, after that we triangulate which of these profiles would be the best fit after training. This is more than just looking at resumes, this is looking at skills taking into account available courses, and then predicting who is the best fit.
Let me recap the first three steps:
Step one: we have situated the industry needs
Step two: we have pinpointed the skills gaps that need to be addressed
Step three: we found those profiles that will be able to fit future skills needs, given they will get specific training
… which leads me to step four: building a personalised training trajectory that addresses the skills gap.
InnoEnergy has partnerships with content producers, universities and corporations that are experts in the field, but if the field is rapidly changing, we must be able to build some specific content on the go. That is why we are testing an AI engine that produces interactive learning modules from reports. I will show you links to a recent example of how we turned the WindEurope report into 5 learning modules, with only 15 minutes of wo/manpower invested in it.
This automation of the learning cycle allows InnoEnergy to roll out blended courses that have experts coaching the learners as guides on the side.
With these four steps InnoEnergy believes we can build an upskilled and reskilled future-proof workforce.
(Inge add link to wildfire learning)
These are some of the examples coming out of our Artificial Intelligence engines.
The employability check mixes profiles of workers to see which one’s come out on top after having followed specific training.
The modules listed under the learning experiences, are the modules that were created from the WindEurope report that was launched recently.
Now this approach is only one option we could use to build a future-proof workforce. But this afternoon we will sit together, bring all of our intelligence to the table to see what all of us can come up with as a roadmap for building a future-proof workforce.
Thank you for your attention.
Multiple choice to measure student progress
Teaching machine, designed by B. F. Skinner
CC BY 3.0
File:Skinner teaching machine 01.jpg
Created: 31 March 2008
Making reading and writing more accessible, including for those with a learning challenge