Elephants, Butterflies and Moths in the Amazon Rainforest: High Epistemic Qua...Brian Hudson
The consideration of teacher education from a global perspective foregrounds the challenge of inequality as a core challenge for contemporary societies and for educational systems. The crucial role of education in relation to this challenge is highlighted in the UNICEF/UNESCO report on the Global Thematic Consultation in the Post-2015 Development Agenda, which stresses education as a “fundamental human right”. The report calls for two main education specific goals to be addressed as part of the future development framework: equitable access and equitable quality education. Accordingly this paper considers the relation between quality and learning and in particular that between epistemic quality and equitable learning. The work of Jo Boaler is especially relevant to the former in relation to her proposition about ‘the elephant in the mathematics classroom’. Of particular significance is her argument that in many maths classrooms a very narrow subject is taught to children, that is nothing like the maths of the world or the maths that mathematicians use. In our recent study on developing mathematical thinking we present this as an issue of epistemic quality (Hudson et al., 2015). High epistemic quality involves mathematics as fallible, refutable and uncertain, critical thinking, creative reasoning, multiple solutions and learning from errors and mistakes. In contrast low epistemic quality is characterised by mathematics as infallible, authoritarian, dogmatic, absolutist, irrefutable, certain, rule following of strict procedures and right or wrong answers. Additionally we consider how a thematic approach through the study of butterflies and moths in the Amazon rainforest resulted in mathematics becoming more accessible for all (Hudson, 2015). Such accessibility is central to equitable learning, which is seen as learning that produces educational justice (“Bildungsgerechtigkeit”). The paper concludes by considering how to redress the extent to which educational systems, and also everyday teaching practices and classroom interaction, reproduce inequality.
Elephants, Butterflies and Moths in the Amazon Rainforest: High Epistemic Qua...Brian Hudson
The consideration of teacher education from a global perspective foregrounds the challenge of inequality as a core challenge for contemporary societies and for educational systems. The crucial role of education in relation to this challenge is highlighted in the UNICEF/UNESCO report on the Global Thematic Consultation in the Post-2015 Development Agenda, which stresses education as a “fundamental human right”. The report calls for two main education specific goals to be addressed as part of the future development framework: equitable access and equitable quality education. Accordingly this paper considers the relation between quality and learning and in particular that between epistemic quality and equitable learning. The work of Jo Boaler is especially relevant to the former in relation to her proposition about ‘the elephant in the mathematics classroom’. Of particular significance is her argument that in many maths classrooms a very narrow subject is taught to children, that is nothing like the maths of the world or the maths that mathematicians use. In our recent study on developing mathematical thinking we present this as an issue of epistemic quality (Hudson et al., 2015). High epistemic quality involves mathematics as fallible, refutable and uncertain, critical thinking, creative reasoning, multiple solutions and learning from errors and mistakes. In contrast low epistemic quality is characterised by mathematics as infallible, authoritarian, dogmatic, absolutist, irrefutable, certain, rule following of strict procedures and right or wrong answers. Additionally we consider how a thematic approach through the study of butterflies and moths in the Amazon rainforest resulted in mathematics becoming more accessible for all (Hudson, 2015). Such accessibility is central to equitable learning, which is seen as learning that produces educational justice (“Bildungsgerechtigkeit”). The paper concludes by considering how to redress the extent to which educational systems, and also everyday teaching practices and classroom interaction, reproduce inequality.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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 “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, 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 benefit’s 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.