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Meredith Farkas
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Presentation for the Masters of Education students\' Residency at Norwich University
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Slideshow from half-day workshop, "Social Networks and Student Enrollment," presented at AACRAO's 19th Annual Strategic Enrollment Management Conference, Nov. 8, 2009, Dallas, Texas.
Social Networks and Student Enrollment
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The annual Horizon Report, a joint publication of the New Media Consortium (NMC) and the EDUCAUSE Learning Initiative (ELI), highlights new technologies for teaching, learning, and creative expression. This presentation will review the research and process behind the report and the findings of the 2007 edition.
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This presentation, in slightly modified forms, was presented by myself to education audiences in Canada, Israel, Norway and the UK in spring 2007. See my blog at terrya.edublogs.org for more details
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Keynote presentation for Kingston University Festival of Learning The swift pivot to online learning has without doubt been challenging for a multitude of reasons. My keynote will consider - when looking back what my approaches were in relation to the use of technology to enhance learning; - more recently my reflections on using technology for learning and teaching online, - and then looking forward how we need to re-plan to use technology for engaging multimodal co-learning.
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Slideshow from half-day workshop, "Social Networks and Student Enrollment," presented at AACRAO's 19th Annual Strategic Enrollment Management Conference, Nov. 8, 2009, Dallas, Texas.
Social Networks and Student Enrollment
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Andrew Careaga
The annual Horizon Report, a joint publication of the New Media Consortium (NMC) and the EDUCAUSE Learning Initiative (ELI), highlights new technologies for teaching, learning, and creative expression. This presentation will review the research and process behind the report and the findings of the 2007 edition.
NMC Horizon Report > 2007 Higher Ed Edition Presentation
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This presentation, in slightly modified forms, was presented by myself to education audiences in Canada, Israel, Norway and the UK in spring 2007. See my blog at terrya.edublogs.org for more details
Social Software and Personal Learning Environments
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Terry Anderson
Keynote presentation for Kingston University Festival of Learning The swift pivot to online learning has without doubt been challenging for a multitude of reasons. My keynote will consider - when looking back what my approaches were in relation to the use of technology to enhance learning; - more recently my reflections on using technology for learning and teaching online, - and then looking forward how we need to re-plan to use technology for engaging multimodal co-learning.
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Terragrunt, Terraspace, Terramate, terra... whatever. What is wrong with Terraform so people keep on creating wrappers and solutions around it? How OpenTofu will affect this dynamic? In this presentation, we will look into the fundamental driving forces behind a zoo of wrappers. Moreover, we are going to put together a wrapper ourselves so you can make an educated decision if you need one.
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
Andrey Devyatkin
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
I've been in the field of "Cyber Security" in its many incarnations for about 25 years. In that time I've learned some lessons, some the hard way. Here are my slides presented at BSides New Orleans in April 2024.
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Product Anonymous
Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
Igalia
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
The Digital Insurer
Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
writing some innovation for development and search
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
MINDCTI Revenue Release Quarter 1 2024
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MINDCTI Revenue Release Quarter One 2024
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AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
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ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
Social Software in Education
1.
2.
Our students have
changed radically. Today’s students are no longer the people our educational system was designed to teach . -Mark Prensky, “Digital Natives, Digital Immigrants.”
3.
At the same
time… The Web has also changed
4.
Web 1.0 Democratized
Access to Information
5.
Web 2.0: Democratized
Participation
6.
7.
Characteristics of Social
Software
8.
Easy content creation
and sharing
9.
Online Collaboration
10.
Conversations
11.
Conversations
12.
Capitalizing on the
wisdom of crowds
13.
Transparency
14.
Transparency
15.
Personalization
16.
Portability
17.
Social Software Applications
in Education
18.
19.
20.
Course Management System
21.
Faculty Communication with
Students/Parents
22.
Faculty Communication with
Students/Parents
23.
Reflective Learning
24.
Reflective Learning
25.
Reflective Learning
26.
Reflective Learning
27.
Discussion
28.
Discussion
29.
Discussion
30.
Language or Writing
Practice
31.
Language or Writing
Practice
32.
Share Ideas/Get Feedback
33.
34.
Courseware
35.
Courseware
36.
Courseware
37.
Group Projects
38.
Collaborative Resource Guides
39.
40.
Courseware
41.
Feedback Mechanism
42.
Feedback Mechanism
43.
Portal to Library/School
Content
44.
Portal to Library/School
Content
45.
Portal to Library/School
Content
46.
47.
Lectures and Guest
Speakers
48.
Student Projects
49.
Student Projects
50.
News and Marketing
51.
Language Classes
52.
53.
Recording Lectures
54.
Comments on Student
Papers
55.
Tutorials
56.
Things to Consider
57.
Avoid technolust
58.
Don’t assume all
of your students are tech-savvy
59.
Play with
technology! Kick the tires!
60.
Don’t be afraid
to try things out with your students
61.
Don’t be afraid
to let your students “drive”
62.
Consider the maintenance
burden and sustainability of any technology
63.
64.
Thanks!
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