Slide deck from a SMART Notebook file used to teach about various "reveal techniques" and the pedagogy behind using a SMARTboard. Workshop held at Boston University as part of the EdTech Teacher Workshop series, 19 July 2010.
Slide deck from a SMART Notebook file used to teach about various "reveal techniques" and the pedagogy behind using a SMARTboard. Workshop given to Manitoba Education Consultants on 20 April 2010.
Slide deck from a SMART Notebook file used to teach about various "reveal techniques" and the pedagogy behind using a SMARTboard. Workshop held at Manitoba Education Professional Learning Lab, 21 June 2010.
The document provides an agenda and details for a workshop on creative teaching using interactive whiteboards (IWBs). The agenda covers basic and advanced reveal techniques, using IWBs with Web 2.0 tools like slideshare and blogs, working with video, and exploring the intersection of presentation, visual, and instructional design. Hands-on sessions are interspersed throughout for practicing the techniques. Topics include reveal techniques like uncover, scale, enlarge, flash, touch and scroll, hot links, and puzzles. The full-day workshop aims to help educators learn how to effectively use technology tools like IWBs for interactive lessons.
The document outlines an agenda for a two-day workshop on using interactive whiteboards (IWBs) in teaching. Day 1 focuses on the basic mechanics of different IWB models and introduces techniques like revealing content gradually. Participants will practice advanced techniques and work with video. Day 2 focuses on pedagogical design, with sessions on lesson planning, modeling classroom use of IWBs, and sharing lesson designs. The goal is to help teachers learn how to effectively integrate IWBs into their teaching practice.
This document discusses using an interactive whiteboard (IWB) effectively in senior year classrooms. It provides an agenda for a workshop that covers basic and advanced reveal techniques using the IWB. It also discusses using the IWB to showcase content from websites like slideshare and videos from sites like YouTube. Hands-on activities are included to practice revealing text, images, and video on the IWB. The document also presents challenges for workshop participants to try different reveal techniques.
The document provides an agenda for a workshop on using interactive whiteboards (IWBs) effectively in senior year classrooms. The agenda covers basic and advanced reveal techniques using the IWB software, working with multimedia, and integrating IWBs with Web 2.0 tools. Hands-on sessions are scheduled to allow participants to practice different reveal techniques and challenges, as well as working with multimedia. The last session discusses using IWBs to incorporate Web 2.0 technologies into lessons.
Causal inference-for-profit | Dan McKinley | DN18DataconomyGmbH
This document discusses causal inference and experimentation. It notes that doing causal inference and experiments correctly is tricky. It also notes that vendors who provide experimentation services may have their own motives that are not always aligned with customers. The document provides several theories for why running a large number of experiments may be an effective approach, despite small chances of any individual experiment finding an effect, and suggests starting with building expertise in a single cross-disciplinary team.
Slide deck from a SMART Notebook file used to teach about various "reveal techniques" and the pedagogy behind using a SMARTboard. Workshop given to Manitoba Education Consultants on 20 April 2010.
Slide deck from a SMART Notebook file used to teach about various "reveal techniques" and the pedagogy behind using a SMARTboard. Workshop held at Manitoba Education Professional Learning Lab, 21 June 2010.
The document provides an agenda and details for a workshop on creative teaching using interactive whiteboards (IWBs). The agenda covers basic and advanced reveal techniques, using IWBs with Web 2.0 tools like slideshare and blogs, working with video, and exploring the intersection of presentation, visual, and instructional design. Hands-on sessions are interspersed throughout for practicing the techniques. Topics include reveal techniques like uncover, scale, enlarge, flash, touch and scroll, hot links, and puzzles. The full-day workshop aims to help educators learn how to effectively use technology tools like IWBs for interactive lessons.
The document outlines an agenda for a two-day workshop on using interactive whiteboards (IWBs) in teaching. Day 1 focuses on the basic mechanics of different IWB models and introduces techniques like revealing content gradually. Participants will practice advanced techniques and work with video. Day 2 focuses on pedagogical design, with sessions on lesson planning, modeling classroom use of IWBs, and sharing lesson designs. The goal is to help teachers learn how to effectively integrate IWBs into their teaching practice.
This document discusses using an interactive whiteboard (IWB) effectively in senior year classrooms. It provides an agenda for a workshop that covers basic and advanced reveal techniques using the IWB. It also discusses using the IWB to showcase content from websites like slideshare and videos from sites like YouTube. Hands-on activities are included to practice revealing text, images, and video on the IWB. The document also presents challenges for workshop participants to try different reveal techniques.
The document provides an agenda for a workshop on using interactive whiteboards (IWBs) effectively in senior year classrooms. The agenda covers basic and advanced reveal techniques using the IWB software, working with multimedia, and integrating IWBs with Web 2.0 tools. Hands-on sessions are scheduled to allow participants to practice different reveal techniques and challenges, as well as working with multimedia. The last session discusses using IWBs to incorporate Web 2.0 technologies into lessons.
Causal inference-for-profit | Dan McKinley | DN18DataconomyGmbH
This document discusses causal inference and experimentation. It notes that doing causal inference and experiments correctly is tricky. It also notes that vendors who provide experimentation services may have their own motives that are not always aligned with customers. The document provides several theories for why running a large number of experiments may be an effective approach, despite small chances of any individual experiment finding an effect, and suggests starting with building expertise in a single cross-disciplinary team.
DN18 | A/B Testing: Lessons Learned | Dan McKinley | MailchimpDataconomy Media
Abstract about the Presemtation:
Introducing A/B testing to a large team that has never done it before is a weird and bewildering thing that Dan McKinley has somehow done twice. This has burdened him with many opinions about how to achieve this with minimal wailing and gnashing of teeth.
About the Author:
Dan McKinley is a Co-Founder of Skyliner in Los Angeles. Previously he worked at Stripe and spent nearly 7 years building Etsy, during which he worked on “pretty much every feature and backend facility on the site”. He resides in LA with his wife and son.
Applying your Convolutional Neural NetworksDatabricks
Part 3 of the Deep Learning Fundamentals Series, this session starts with a quick primer on activation functions, learning rates, optimizers, and backpropagation. Then it dives deeper into convolutional neural networks discussing convolutions (including kernels, local connectivity, strides, padding, and activation functions), pooling (or subsampling to reduce the image size), and fully connected layer. The session also provides a high-level overview of some CNN architectures. The demos included in these slides are running on Keras with TensorFlow backend on Databricks.
System 1 and System 2 were basic early systems for image matching that used color and texture matching. Descriptor-based approaches like SIFT provided more invariance but not perfect invariance. Patch descriptors like SIFT were improved by making them more invariant to lighting changes like color and illumination shifts. The best performance came from combining descriptors with color invariance. Representing images as histograms of visual word occurrences captured patterns in local image patches and allowed measuring similarity between images. Large vocabularies of visual words provided more discriminative power but were costly to compute and store.
This document provides instructions and examples for using indirect measurement, or measuring without a ruler, through proportions. It includes examples of writing and solving proportions to find the height of a shorter person, the height of a flagpole, and the length of a streetlight's shadow. Students are reminded to bring materials like rulers or measuring tapes for an upcoming outdoor activity using indirect measurement.
This document provides instruction and examples for calculating distance and absolute value. It begins by asking the reader to calculate the distance between several pairs of points on a coordinate plane. It then defines absolute value as the distance between two numbers and provides examples of calculating absolute values. The document continues with more practice problems calculating absolute values and rewriting expressions using absolute value notation. It concludes by explaining how to solve equations involving absolute values and providing an example of using the Pythagorean theorem to calculate the distance between two points.
This document provides instruction and examples for calculating distance and absolute value. It begins by asking the reader to calculate the distance between several pairs of points on a coordinate plane. It then defines absolute value as the distance between two numbers and provides examples of calculating absolute values. The document continues with more practice problems calculating absolute values and rewriting expressions using absolute value notation. It concludes by explaining how to solve equations involving absolute values and providing an example of using the Pythagorean theorem to calculate the distance between two points.
Machine learning for document analysis and understandingSeiichi Uchida
The document discusses machine learning and document analysis using neural networks. It begins with an overview of the nearest neighbor method and how neural networks perform similarity-based classification and feature extraction. It then explains how neural networks work by calculating inner products between input and weight vectors. The document outlines how repeating these feature extraction layers allows the network to learn more complex patterns and separate classes. It provides examples of convolutional neural networks for tasks like document image analysis and discusses techniques for training networks and visualizing their representations.
This document summarizes a class lecture on global illumination techniques for computer graphics. It discusses ray tracing and path tracing to solve the rendering equation through Monte Carlo integration. Radiosity for diffuse interreflection using form factors is covered. Participating media and photon mapping are also summarized. The next class will cover acceleration structures to speed up ray tracing computations. Project 4 is assigned, involving implementing a simple ray tracer.
2019년 5월 23일 창원대학교 정보통신공학과 특강자료 입니다.
* 일 시 : 2019년 5월 23일 (목) 13:00 ~
* 장 소 : 창원대학교 51호관 328호실
* 강연자 : 한국전자통신연구원(ETRI) 김성수 책임연구원
* 주 최 : 창원산업진흥원
* 주 관 : 창원시 스마트모바일앱지원센터
This document contains sample calculus problems and review questions. The sample problems cover topics like absolute value, ratios, perimeter, area, and percent change. The review questions ask students to find limits, determine continuity/discontinuity, and evaluate limits as x approaches various values. There are 14 review questions in total testing students' understanding of limits and one-sided limits.
The document provides instruction and examples for calculating slope between two points on a graph. It defines slope as "rise over run", or the change in the y-values divided by the change in the x-values between two points. Examples are given for finding the slope between points, identifying positive and negative slopes, and special cases where the slope is zero or undefined. Students are asked to provide their own examples comparing slopes and complete an exit slip with slope problems.
The document provides instruction and examples for calculating slope between two points on a graph. It defines slope as "rise over run", or the change in the y-values divided by the change in the x-values between two points. Examples are given for finding the slope between points, identifying positive and negative slopes, and special cases where the slope is zero or undefined. Students are asked to provide their own examples comparing slopes and complete an exit slip with slope problems.
User Experience Sketching for Lean and Agile TeamsDonna Lichaw
This document discusses the benefits of sketching for user experience design. It argues that sketching allows designers to think big picture, collaborate quickly, and validate ideas cheaply without being tied to the computer. Various sketching techniques are presented, including storytelling with words through narratives, comics, and six-word stories. Drawing techniques like simplification, layout, perspective, and storyboarding are also covered. The document encourages practicing these skills through exercises in small groups.
Jane and Jenny, rival Pokemon trainers, get trapped in the forest during a battle between their Pokemon. Jenny's Pokemon, Revoloo, keeps attacking and disturbing the peace, so Jane challenges Jenny to a battle to stop her. During the battle, Revoloo and Jane's Pokemon, Gralinte, are asked mathematical integration questions about solids of revolution that test their abilities. After a long battle involving multiple questions, Revoloo is finally defeated.
This document provides an overview of machine learning concepts including:
1. It defines data science and machine learning, distinguishing machine learning's focus on letting systems learn from data rather than being explicitly programmed.
2. It describes the two main areas of machine learning - supervised learning which uses labeled examples to predict outcomes, and unsupervised learning which finds patterns in unlabeled data.
3. It outlines the typical machine learning process of obtaining data, cleaning and transforming it, applying mathematical models, and using the resulting models to make predictions. Popular models like decision trees, neural networks, and support vector machines are also briefly introduced.
This presentation is a witty journey to boredom. In an excellent way.
Holding attention is important in storytelling.
Storytelling is important in a presentation.
presentation is important in any project.
No matter how boring the topic is.
This document discusses power functions and exponents. It defines power functions as operations where a base is taken to an exponent. It provides examples of squaring (x^2), cubing (x^3), and fourth power (x^4) functions. Key properties discussed include that power functions go through the origin, have all real numbers as their domain, and their range depends on whether the exponent is odd or even. Symmetry properties also depend on the exponent. Examples are provided to illustrate calculating probabilities using exponents.
Behind Their Eyes - making thinking visible is not enough
Walk into any classroom and watch the breakneck pace at which teachers are working hard to help students learn. Mind you, if we don’t uncover what students are thinking while learning, they may be running down the wrong path. OK, so we need ways to make student thinking visible. Seeing their thinking is important, but we also need to create the time and space for teachers to absorb, reflect, and act on what their students thinking reveals. This workshop shares strategies both for making student thinking visible and for creating time and space for teachers to meaningfully act on what they learn about what’s going on behind their eyes.
“If you really want to understand something, try changing it.” - Kurt Lewin
As the Director of Learning for a school division made up of 18 schools, my job is to help lead the largest change initiative ever undertaken in our school community. One of the most important, difficult, messy things any school leader does is lead change. While we can learn from the change leadership of others, copying their work most often leads to failure. Success is more likely to come from adapting others work to our own context. In this workshop I share the journey we’ve undertaken collectively in our schools; how we developed a shared vision, cultivated collaborative cultures, maintained a focus on deep learning, and wrestle with the nuances of accountability. Informed by the latest research on change management in education, we also model strategies for fostering deep learning conversations in your schools. We’ll engage in some deeper learning conversations together and take back a wealth of ideas you can adapt to your own context. Developing collaborative cultures is careful and precise work that has profound impact when carried out well. So how do you do that? Come, let’s learn together. Good people are important, but good cultures are moreso.
DN18 | A/B Testing: Lessons Learned | Dan McKinley | MailchimpDataconomy Media
Abstract about the Presemtation:
Introducing A/B testing to a large team that has never done it before is a weird and bewildering thing that Dan McKinley has somehow done twice. This has burdened him with many opinions about how to achieve this with minimal wailing and gnashing of teeth.
About the Author:
Dan McKinley is a Co-Founder of Skyliner in Los Angeles. Previously he worked at Stripe and spent nearly 7 years building Etsy, during which he worked on “pretty much every feature and backend facility on the site”. He resides in LA with his wife and son.
Applying your Convolutional Neural NetworksDatabricks
Part 3 of the Deep Learning Fundamentals Series, this session starts with a quick primer on activation functions, learning rates, optimizers, and backpropagation. Then it dives deeper into convolutional neural networks discussing convolutions (including kernels, local connectivity, strides, padding, and activation functions), pooling (or subsampling to reduce the image size), and fully connected layer. The session also provides a high-level overview of some CNN architectures. The demos included in these slides are running on Keras with TensorFlow backend on Databricks.
System 1 and System 2 were basic early systems for image matching that used color and texture matching. Descriptor-based approaches like SIFT provided more invariance but not perfect invariance. Patch descriptors like SIFT were improved by making them more invariant to lighting changes like color and illumination shifts. The best performance came from combining descriptors with color invariance. Representing images as histograms of visual word occurrences captured patterns in local image patches and allowed measuring similarity between images. Large vocabularies of visual words provided more discriminative power but were costly to compute and store.
This document provides instructions and examples for using indirect measurement, or measuring without a ruler, through proportions. It includes examples of writing and solving proportions to find the height of a shorter person, the height of a flagpole, and the length of a streetlight's shadow. Students are reminded to bring materials like rulers or measuring tapes for an upcoming outdoor activity using indirect measurement.
This document provides instruction and examples for calculating distance and absolute value. It begins by asking the reader to calculate the distance between several pairs of points on a coordinate plane. It then defines absolute value as the distance between two numbers and provides examples of calculating absolute values. The document continues with more practice problems calculating absolute values and rewriting expressions using absolute value notation. It concludes by explaining how to solve equations involving absolute values and providing an example of using the Pythagorean theorem to calculate the distance between two points.
This document provides instruction and examples for calculating distance and absolute value. It begins by asking the reader to calculate the distance between several pairs of points on a coordinate plane. It then defines absolute value as the distance between two numbers and provides examples of calculating absolute values. The document continues with more practice problems calculating absolute values and rewriting expressions using absolute value notation. It concludes by explaining how to solve equations involving absolute values and providing an example of using the Pythagorean theorem to calculate the distance between two points.
Machine learning for document analysis and understandingSeiichi Uchida
The document discusses machine learning and document analysis using neural networks. It begins with an overview of the nearest neighbor method and how neural networks perform similarity-based classification and feature extraction. It then explains how neural networks work by calculating inner products between input and weight vectors. The document outlines how repeating these feature extraction layers allows the network to learn more complex patterns and separate classes. It provides examples of convolutional neural networks for tasks like document image analysis and discusses techniques for training networks and visualizing their representations.
This document summarizes a class lecture on global illumination techniques for computer graphics. It discusses ray tracing and path tracing to solve the rendering equation through Monte Carlo integration. Radiosity for diffuse interreflection using form factors is covered. Participating media and photon mapping are also summarized. The next class will cover acceleration structures to speed up ray tracing computations. Project 4 is assigned, involving implementing a simple ray tracer.
2019년 5월 23일 창원대학교 정보통신공학과 특강자료 입니다.
* 일 시 : 2019년 5월 23일 (목) 13:00 ~
* 장 소 : 창원대학교 51호관 328호실
* 강연자 : 한국전자통신연구원(ETRI) 김성수 책임연구원
* 주 최 : 창원산업진흥원
* 주 관 : 창원시 스마트모바일앱지원센터
This document contains sample calculus problems and review questions. The sample problems cover topics like absolute value, ratios, perimeter, area, and percent change. The review questions ask students to find limits, determine continuity/discontinuity, and evaluate limits as x approaches various values. There are 14 review questions in total testing students' understanding of limits and one-sided limits.
The document provides instruction and examples for calculating slope between two points on a graph. It defines slope as "rise over run", or the change in the y-values divided by the change in the x-values between two points. Examples are given for finding the slope between points, identifying positive and negative slopes, and special cases where the slope is zero or undefined. Students are asked to provide their own examples comparing slopes and complete an exit slip with slope problems.
The document provides instruction and examples for calculating slope between two points on a graph. It defines slope as "rise over run", or the change in the y-values divided by the change in the x-values between two points. Examples are given for finding the slope between points, identifying positive and negative slopes, and special cases where the slope is zero or undefined. Students are asked to provide their own examples comparing slopes and complete an exit slip with slope problems.
User Experience Sketching for Lean and Agile TeamsDonna Lichaw
This document discusses the benefits of sketching for user experience design. It argues that sketching allows designers to think big picture, collaborate quickly, and validate ideas cheaply without being tied to the computer. Various sketching techniques are presented, including storytelling with words through narratives, comics, and six-word stories. Drawing techniques like simplification, layout, perspective, and storyboarding are also covered. The document encourages practicing these skills through exercises in small groups.
Jane and Jenny, rival Pokemon trainers, get trapped in the forest during a battle between their Pokemon. Jenny's Pokemon, Revoloo, keeps attacking and disturbing the peace, so Jane challenges Jenny to a battle to stop her. During the battle, Revoloo and Jane's Pokemon, Gralinte, are asked mathematical integration questions about solids of revolution that test their abilities. After a long battle involving multiple questions, Revoloo is finally defeated.
This document provides an overview of machine learning concepts including:
1. It defines data science and machine learning, distinguishing machine learning's focus on letting systems learn from data rather than being explicitly programmed.
2. It describes the two main areas of machine learning - supervised learning which uses labeled examples to predict outcomes, and unsupervised learning which finds patterns in unlabeled data.
3. It outlines the typical machine learning process of obtaining data, cleaning and transforming it, applying mathematical models, and using the resulting models to make predictions. Popular models like decision trees, neural networks, and support vector machines are also briefly introduced.
This presentation is a witty journey to boredom. In an excellent way.
Holding attention is important in storytelling.
Storytelling is important in a presentation.
presentation is important in any project.
No matter how boring the topic is.
This document discusses power functions and exponents. It defines power functions as operations where a base is taken to an exponent. It provides examples of squaring (x^2), cubing (x^3), and fourth power (x^4) functions. Key properties discussed include that power functions go through the origin, have all real numbers as their domain, and their range depends on whether the exponent is odd or even. Symmetry properties also depend on the exponent. Examples are provided to illustrate calculating probabilities using exponents.
Behind Their Eyes - making thinking visible is not enough
Walk into any classroom and watch the breakneck pace at which teachers are working hard to help students learn. Mind you, if we don’t uncover what students are thinking while learning, they may be running down the wrong path. OK, so we need ways to make student thinking visible. Seeing their thinking is important, but we also need to create the time and space for teachers to absorb, reflect, and act on what their students thinking reveals. This workshop shares strategies both for making student thinking visible and for creating time and space for teachers to meaningfully act on what they learn about what’s going on behind their eyes.
“If you really want to understand something, try changing it.” - Kurt Lewin
As the Director of Learning for a school division made up of 18 schools, my job is to help lead the largest change initiative ever undertaken in our school community. One of the most important, difficult, messy things any school leader does is lead change. While we can learn from the change leadership of others, copying their work most often leads to failure. Success is more likely to come from adapting others work to our own context. In this workshop I share the journey we’ve undertaken collectively in our schools; how we developed a shared vision, cultivated collaborative cultures, maintained a focus on deep learning, and wrestle with the nuances of accountability. Informed by the latest research on change management in education, we also model strategies for fostering deep learning conversations in your schools. We’ll engage in some deeper learning conversations together and take back a wealth of ideas you can adapt to your own context. Developing collaborative cultures is careful and precise work that has profound impact when carried out well. So how do you do that? Come, let’s learn together. Good people are important, but good cultures are moreso.
In a world where knowledge is more a verb than a noun how do we foster deep learning in our students? Good questions cause thinking. Unfortunately, many of the questions regularly asked in classrooms focus on knowledge as a noun. This presentation will explore inquiry as a pedagogical stance and the effective use of thinking and learning tools in the classroom. We will work together to model teaching practices that lead to students co-constructing a networked (real world) rather than hierarchical (artificial) understanding of their world regardless of grade level or discipline.
Participants will leave this workshop with a toolkit of research based questioning and thinking strategies they can begin using with their students tomorrow.
The document is a presentation about digital citizenship given by Darren Kuropatwa at the Building Learning Communities Conference in Boston, MA in July 2017. It discusses the importance of digital citizenship and responding to adversity with persistent kindness. It provides examples of digital citizenship issues and scenarios for discussion. It encourages participants to think about their own digital footprint and how to be good digital citizens.
Presented at the Riding the Wave Conference in Gimli, Manitoba. May 2017.
In two words, you remember the whole story: glass slipper, sour grapes, cold porridge. You remember more than facts, you recall relationships & deeper connections between characters. Some of the powerful ways we leverage digital for deeper learning includes challenging sources of information (fake news), exploring bias (developing empathy through multiple perspectives), and creating powerful feedback loops that foster deeper learning.
Powerful narratives, in a word or two, bring to mind a wealth of ideas & relationships; more than just facts. How can we find stories that make our teaching sticky and help kids find, and more importantly tell, stories that make learning stick? This workshop will equip teachers with the skills & knowledge to foster deeper learning across the curriculum by intentionally leveraging digital tools to foster deeper learning.
Tales of Learning and the Gifts of Footprints v4.2Darren Kuropatwa
This document appears to be a presentation about digital learning and storytelling. It discusses shifting from compliance to care, private to public learning, and consumer to participatory models. It addresses what digital storytellers look like and principles of learning including starting where students are, learning being done by and for students, students talking about learning, having learning targets, and feedback. It encourages generosity, sharing tales of learning, and giving the gifts of footprints.
Presented at the Richmond District Conference, Feb 2017.
A series of stories woven together to start a conversation with middle and high school students, teachers, and parents about living our lives on and offline (on The Fourth Screen) more thoughtfully.
This talk focuses primarily on the ideas of Empathy, Empowerment & Persistent Kindness and shares resources teachers can use to lead these sorts of conversations with their own students.
Slides to support a master class on making student thinking visible through practical hands-on activities and structured around Dylan Wiliam's work on formative assessment and active learning. Held at the BYTE Conference 2017 in Portage la Prairie, Manitoba.
A group of educators from the BYTE Conference 2017 (Build Your Teaching Experience) share their ideas about learning as a series of visual metaphors they found on their phones.
The document discusses storytelling and how it can be used as a tool for learning. It suggests that storytelling allows students to think in metaphors and learn through stories. It provides examples of how digital tools like QR codes and apps can be used to incorporate storytelling into the classroom. It also outlines some rules of thumb for using storytelling, such as personalizing tasks to students' experiences, collaborating on group projects, and getting feedback from both inside and outside the classroom.
In a world where knowledge is more a verb than a noun how do we foster deep learning in our students? Good questions cause thinking. Unfortunately, many of the questions regularly asked in classrooms focus on knowledge as a noun. This presentation will explore the effective use of thinking and learning tools in the classroom. We will work together to model teaching practices that lead to students co-constructing a networked (real world) rather than hierarchical (artificial) understanding of their world regardless of grade level or discipline.
Participants leave this workshop with a toolkit of research based questioning and thinking strategies they can begin using with their students tomorrow.
This document contains multiple sections on topics related to technology and its impact on society, including how the internet allows information to be easily shared but also persist indefinitely, issues around online privacy and bullying, and ways for parents to support their children's safe and responsible internet use. The document advocates for empowering youth and promoting kindness both online and off.
Slides to support a master class on making student thinking visible through practical hands-on activities and structured around Dylan Wiliam's work on formative assessment and active learning.
A group of educators from the Anderson Union High School & Redding School Districts and share their ideas about learning as a series of visual metaphors.
In a world where knowledge is more a verb than a noun how do we foster deep learning in our students? Good questions cause thinking. Unfortunately, many of the questions regularly asked in classrooms focus on knowledge as a noun. This presentation will explore the effective use of thinking and learning tools in the classroom. We will work together to model teaching practices that lead to students co-constructing a networked (real world) rather than hierarchical (artificial) understanding of their world regardless of grade level or discipline.
Participants leave this workshop with a toolkit of research based questioning and thinking strategies they can begin using with their students tomorrow.
This document contains a collection of images, quotes, and short passages on topics related to online communities, sharing, and empowerment through technology. The snippets discuss how the internet allows information to be easily shared, encourages learning, and can help empower victims of bullying. The overarching theme is about the positive impact community and connection through online platforms can provide.
Slides to support a master class at the Building Learning Communities Conference in Boston, MA. 18 July 2016.
How can we make learning sticky using powerful storytelling frameworks that tap into peoples' emotions? How do we involve all students in creating digital content that doesn't also create hours of content for teachers to assess? This interactive session will showcase Digital Storytelling activities teachers can use in class tomorrow! Document student learning & foster reflective ways for students to share their learning. 1st: we play! Then we'll discuss how to practically adapt these ideas, make them your own, and figure out what sort of infrastructure needs to be in place to support these kinds of powerful learning experiences. We’ll learn how to exercise your students' & your own creativity muscles and share simple strategies for collecting & publishing student work.
Slides in support of a professional learning day for administrators in Hanover School Division focused on developing a common language & understanding of Deep Learning Design.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
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How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
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Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
6. Combinations (the "Choose" Formula)
A combination is arrangement of objects where order does not matter.
move to
back
n is the number of objects On the calculator ...
available to be arranged Press: [MATH]
[<] (Prb)
[3] (nCr)
r is the number of objects
that are being arranged.
7. Rhonda lives 5 km from Morris in a
SW direction. Travis lives 5 km SW
of Thompson. Are the two vector
quantities equal? Explain.
move to back
frame reveal
8. What happens when the base of an exponential function is negative?
x
ƒ(x) = (-2) co-creating
notes
ƒ(x) = (-2) x ≠ ƒ(x) = -2 x
9. The Triangle Method ...
We use the triangle method when the vectors are arranged tip-to-tail.
6cm enlarge
Scale: 1 cm = 2 km
reveal
10cm
RESULTANT
23.4 km 59° S of E
RESULTANT
11.7 cm 59° S of E
Remember, we use measurements with a ruler and protractor to find
the "answers."
10. A large black ant pulls a breadcrumb N32°E with a force of 0.03 N.
A small red ant pulls with a 0.045 N force in the direction E5°S.
Determine the magnitude and direction of the resultant force.
HOMEWORK
8°
70.4
ING 4 N
enlarge
BE 0.064
AR
reveal
can you find it?
12. Identify each of the following quantities as scalar or vector.
infinite clone, scalar vector
drag'n drop
(a) There are five people living (d) Jeff was driving at
in the house just north of yours. 100 km/h for 40 minutes.
(b) The airplane flew 515 (e) Jess jogged six blocks
km/h at a bearing of 315°. west along Portage Avenue.
(c) Today we had a (f) The boat was headed
30 km/h north wind. N42°W across the lake.
13. Identify each of the following quantities as scalar or vector.
layering
reveal
(a) There are five people living (d) Jeff was driving at
in the house just north of yours. 100 km/h for 40 minutes.
vector? scalar
(b) The airplane flew 515 (e) Jess jogged six blocks
km/h at a bearing of 315°. west along Portage Avenue.
vector vector
(c) Today we had a (f) The boat was headed
30 km/h north wind. N42°W across the lake.
scalar neither