20210623 Digital Technologies and Innovations in Education
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Digital technology and innovation are rapidly changing the world. [1] Artificial intelligence, machine learning, and big data are fueling the fourth industrial revolution. [2] New technologies like augmented and virtual reality are enhancing learning. [3] Learning analytics tools are providing insights to improve education. The future of learning will be highly personalized and lifelong, enabled by technologies like AI assistants, adaptive learning apps, and blockchain-backed credentials.
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20210623 Digital Technologies and Innovations in Education
- 1. Digital Technology and Innovation 23 June 2021 Dr Ramesh C Sharma
- 4. What is 4th Industrial Revolution?
- 5. The Fourth Education Revolution 5 Nothing matters more than EDUCATION if we are to see AI liberate, not infantilise humanity.
- 6. Digital technology and practices for school improvement: innovative digital school model https://telrp.springeropen.com/articles/10.1186/s41039-018-0094-8 Liisa Ilomäki & Minna Lakkala
- 10. Dimensions of Analytics Slade and Tait (2019, p. 5). Global guidelines: Ethics in learning analytics.
- 21. https://www.slideshare.net/aleonar/google-cloud-data-analysis-and-machine-learningn-technologies
- 25. Google Data Studio … Access it NOW!
- 40. Now Post your results on the Wall https://padlet.com/rcsmooc/data
- 59. Example : Location based Services
- 62. Virtual Worlds
- 63. 3 kinds of worlds The Real World, the Digital World (2D Web, Internet), and the Virtual World (3D Web). Susan Kish, 2007
- 64. Emerging Universes • MMORPGs (massive multiplayer online games, such as World of Warcraft) • Metaverses (Virtual Worlds that are primarily social vs. game oriented, such as Second Life) • MMOLEs (focused on learning and training environments) • Intraverses (putting up a virtual world inside the corporate firewall) • Paraverses (often also called Mirror Worlds, such as Google Earth) http://www.lunchoverip.com/2007/10/second-life-vir.html
- 65. What is a virtual world? • A virtual world or massively multiplayer online world (MMOW) is a computer-based simulated environment. • The term has become largely synonymous with interactive 3D virtual environments, where the users take the form of avatars visible to others. • These avatars usually appear textual, two-dimensional, or three-dimensional representations, although other forms, such as live video avatars, are possible, with auditory and touch sensations. • In general, virtual worlds allow for multiple users. Source: http://en.wikipedia.org/wiki/Virtual_world
- 67. Virtual Worlds: Simulations, Games, Social Learning and Pedagogy Thanks to Ines Setiawan for allowing to use images from her SecondLife album
- 69. Gods Unchained Gods Unchained is a turn-based digital card trading game that operates on the Ethereum blockchain.
- 72. Examples of Virtual Worlds Onverse, or Online Universe, is a new 3D virtual world and social network that offers players a virtual space to hang out, meet others, and play together.
- 77. Natural history museum of Vienna
- 81. Radioactive dating class at Natural History Museum of Vienna in Second Life https://secondlife.com/destination/natural-history-museum-of-vienna
- 85. Hajime Nishimura, Japan Agency for Marine-Earth Science and Technology. (JAMSTEC)
- 86. Study of polar animals
- 90. https://www2.le.ac.uk/projects/vgec/highereducation/inherited-conditions-tutorial-using-second-life
- 93. Shift To The Cloud https://www.zdnet.com/article/cloud-computing-switch-as-digital-transformation-takes-priority/
- 94. Smart Speakers And Voice Assistants
- 95. AI And Machine Learning https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article
- 98. The Rise Of Mobile Apps https://myapp.bg/en/heres-why-your-business-needs-a-mobile-application/
- 99. The Enigma Alan Mathison Turing OBE FRS was an English mathematician, computer scientist, logician, cryptanalyst, philosopher, and theoretical biologist.
- 100. Turing Test • A machine is called “intelligent” if and only if an observer is unable to tell whether he is dealing with a human being or a computer.
- 105. Google AI LaMDA
- 106. What you need to learn?
- 107. Computer vision
- 111. Herbert George Wells, Father of Science Fiction
- 115. Artificial General Intelligence Artificial general intelligence is the hypothetical ability of an intelligent agent to understand or learn any intellectual task that a human being can. It is a primary goal of some artificial intelligence research and a common topic in science fiction and futures studies. Wikipedia Human-like sensory-perception capabilities. For example, systems trained through deep learning still have poor color consistency: self-driving car systems have been fooled by small pieces of black tape or stickers on a red stop sign. Fine motor skills. teach a robot hand to solve a Rubik’s cube. dexterity involved in programming robot fingers on a single hand to manipulate a complex object. Natural language understanding. Humans record and transmit skills and knowledge through books, articles, blog posts, and, more recently, how-to videos. AI will need to be able to consume these sources of information with full comprehension.
- 117. Use cases of AI in Financial services • Wealth Management for Masses (e.g. Smart Wallets, Trading) • Customer Support, Transactions, and Helpdesks • Data Analysis and Advanced Analytics • Fraud Detections and Repetitive Tasks • Underwriting Loans and Insurance • Automated Virtual Assistants
- 118. AI-empowered educational ecosystem • The AI-fluent SmartEducator • The AI powered autonomous Learner • Recommender and content personalisation systems • Chatbots to assist both educators and learners • Co-learning spaces and emerging technologies experience centres • AI enabled assessment systems • Blockchain for academic credentials
- 119. For Learners: become better self learner
- 120. Applications in Education https://www.chronicle.com/article/when-the-teaching-assistant-is-a-robot/
- 121. Grammarly … The app uses a crude artificial intelligence that recognizes writing problems through natural language processing. When you copy and paste your text into the Hemingway Editor, it highlights sentences with possible issues in different colors and offers suggested changes.
- 124. Developing a language learning application using virtual reality
- 127. Automated content analysis of students’ summaries for their understanding of a text or curriculum
- 130. CBSE Artificial Intelligence Curriculum 130
- 131. MSAI: Making Sense of Artificial Intelligence • Module 1: The origins and the present landscape of AI • 1.1: A brief history of evolution of AI • 1.2: The Turing test • 1.3: Simple automation, algorithmic automation and intelligent automation • 1.4: AI and allied ( sometimes confused) terms • 1.5: Narrow Intelligence, General Intelligence & Super Intelligence Prof. M M Pant
- 132. Module 2: AI, Machine learning and Deep learning • 2.1: The relationship between AI, ML and DL • 2.2: Approaches to machine learning • 2.3: The search for a master algorithm • 2.4: Deep Learning and Artificial Neural Networks • 2.5: The Mathematics underlying Machine Learning
- 133. Module 3: Generic AI tools: • 3.1: Recommendation Engines • 3.2: Predictive models • 3.3: Speech Recognition • 3.4: Natural Language Processing • 3.5: Computer Vision
- 134. Moduel 4: Application areas: • 4.1: AI and Marketing • 4.2: AI and Finance • 4.3: AI and Healthcare • 4.4: AI and Agriculture • 4.5: AI and autonomous transportation
- 135. Module 5: AI and Social Good • 5.1: The future of work and human dignity • 5.2: AI and SDGs ( Sustainable Development Goals) • 5.3: World economic forum on ethical issues in AI • 5.4: AI and bias • 5.5: AI in the foreseeable future
- 139. Foundations of Quantum Mechanics as the theory Werner Karl Heisenberg Erwin Rudolf Josef Alexander Schrödinger Neils Bohr Max Planck Paul Dirac Wolfgang Pauli
- 141. World Shaken up by … https://images.theconversation.com/files/359336/original/file-20200922-20-1od4f6p.jpg
- 144. New Educational Ecosystem • 1: Educators who are AI empowered self-learning facilitators • 2: Lifelong self-learning communities ( as opposed to age and stage based learning) and co-learning spaces. • 3: AI supported HelpDesks • 4: A personal learning chatbot for every learner • 5: AI powered learning Apps.( Duolingo, iMath etc.) • 6: An AI powered personalised assessment, monitoring and feedback system • 7: Learning Prescriptions, Learning Capsules and Learning Pills • 8: Mobile Learning ( not desktop). • 9: Wearables for self-learning ( AR and VR) • 10: Blockchains and badges for credentials MMPANT.COM
- 145. Future of Education Self Organised Learning Environment
- 146. The future is already here it’s just not evenly distributed