Howard Gardner's Multiple Intelligence Theory proposes that there are seven original domains of intelligence rather than just a single general intelligence. The theory defines intelligence broadly based on a set of skills, talents, or mental abilities. The seven original domains are logical-mathematical, linguistic, musical, spatial, bodily-kinesthetic, interpersonal, and intrapersonal intelligence. The theory suggests that individuals have unique combinations of these intelligences and can be intelligent in different ways.
Howard Gardnerâs Theory of Multiple Intelligencesjerica palomaria
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Gardnerâs Multiple Intelligences
1. Verbal-linguistic intelligence (well-developed verbal skills and
sensitivity to the sounds, meanings and rhythms of words)
2. Logical-mathematical intelligence (ability to think conceptually and
abstractly, and capacity to discern logical and numerical patterns)
3. Spatial-visual intelligence (capacity to think in images and pictures, to
visualize accurately and abstractly)
4. Bodily-kinesthetic intelligence (ability to control oneâs body movements
and to handle objects skillfully)
5. Musical intelligences (ability to produce and appreciate rhythm, pitch
and timber)
6. Interpersonal intelligence (capacity to detect and respond appropriately
to the moods, motivations and desires of others)
7. Intrapersonal (capacity to be self-aware and in tune with inner feelings,
values, beliefs and thinking processes)
8. Naturalist intelligence (ability to recognize and categorize plants,
animals and other objects in nature)
9. Existential intelligence (sensitivity and capacity to tackle deep questions
about human existence such as, What is the meaning of life? Why do we
die? How did we get here?
(Source: Thirteen ed online, 2004)
Howard Gardnerâs Theory of Multiple Intelligencesjerica palomaria
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Gardnerâs Multiple Intelligences
1. Verbal-linguistic intelligence (well-developed verbal skills and
sensitivity to the sounds, meanings and rhythms of words)
2. Logical-mathematical intelligence (ability to think conceptually and
abstractly, and capacity to discern logical and numerical patterns)
3. Spatial-visual intelligence (capacity to think in images and pictures, to
visualize accurately and abstractly)
4. Bodily-kinesthetic intelligence (ability to control oneâs body movements
and to handle objects skillfully)
5. Musical intelligences (ability to produce and appreciate rhythm, pitch
and timber)
6. Interpersonal intelligence (capacity to detect and respond appropriately
to the moods, motivations and desires of others)
7. Intrapersonal (capacity to be self-aware and in tune with inner feelings,
values, beliefs and thinking processes)
8. Naturalist intelligence (ability to recognize and categorize plants,
animals and other objects in nature)
9. Existential intelligence (sensitivity and capacity to tackle deep questions
about human existence such as, What is the meaning of life? Why do we
die? How did we get here?
(Source: Thirteen ed online, 2004)
Howard Gardner's theory of Multiple Intelligences utilizes aspects of cognitive and developmental psychology, anthropology, and sociology to explain the human intellect.
The theory was introduced in 1983, with Gardner's book, Frames of Mind.
Gardner's research consisted of brain research and interviews. Based on his findings, Gardner identified the seven (he has subsequently added an eighth and is considering a ninth) separate intelligences.
Testing Instruments are used to test Intelligence Quotient or personality tests to evaluate past-acquired competencies or future success in education or employment. A close examination and study of human cognition based on biological and anthropological evidence such as plasticity of brain we may have to include more universal set of competencies than ordinarily been considered such as verbal, mathematical and logical competencies. This paper attempts to address issues relating to definition of intelligence, its components and application of study for educational testing and selection process.
CHC theory 101: From general intelligence (g) to CHC theoryKevin McGrew
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The second in the CHC Theory 101 series. This brief module traces, in broad strokes, the history of psychometric theories of intelligence from Spearman's g to contemporary Cattell-Horn-Cattell (CHC) theory
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Multiple Intelligence
Chapter 4 Individual Variations, by John Santrock.pptVATHVARY
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Discuss what intelligence is,
how it is measured, theories of multiple intelligences, the neuroscience of intelligence,
and some controversies and issues about its use by educators.
Describe learning and
thinking styles.
Characterize the nature of
personality and temperament.
C:\Documents And Settings\Acloutier\Desktop\Mat March11,2009 Frames Of Mind UmdAnnie c. Cloutier
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Multiple Intelligence by Howard Gardner
Power Point 2009 by Annie C. Cloutier
Graduate Masters General Science Presentation University Massachusetts Dartmouth,MA
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
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In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
⢠The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
⢠Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
⢠Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
⢠Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
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Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
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Are you looking to streamline your workflows and boost your projectsâ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, youâre in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part âEssentials of Automationâ series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Hereâs what youâll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
Weâll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Donât miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
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In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as âpredictable inferenceâ.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
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Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
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As AI technology is pushing into IT I was wondering myself, as an âinfrastructure container kubernetes guyâ, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefitâs both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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