Eportfolio Collecting - Grabel
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An e-portfolio is a collection of digital artifacts that demonstrate a person's learning, accomplishments, or skills. It can include typed documents, scanned images, digital photos, videos, blogs, and other web content. When collecting artifacts, one should include authentic evidence like work samples, projects, papers, and presentations. It is important to label artifacts with titles, dates, and other relevant metadata. Reflective statements should also be included to contextualize the artifacts and demonstrate learning. The selection process involves choosing the most relevant artifacts that support one's narrative and display skills, while leaving out redundant, unrelated, or distracting items.
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1 3 week 3 collect select idtg 631
An e-portfolio is a collection of digital artifacts that demonstrate a person's learning, accomplishments, or skills. It can include typed documents, scanned images, digital photos, videos, blogs, and other web content. When collecting artifacts, one should include authentic evidence like work samples, projects, papers, and photos, as well as explanations and reflections that provide context for the artifacts. The selection process involves choosing artifacts that support one's narrative, display key skills, and represent one's best work, while avoiding redundant or unrelated items.
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How can we move beyond recorded lectures?
Sylvia Moes, Vrije Universiteit, Amsterdam and Clive Young, University College London
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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.
Keywords: AI, Containeres, Kubernetes, Cloud Native
Event Link: https://meine.doag.org/events/cloudland/2024/agenda/#agendaId.4211
Principle of conventional tomography-Bibash Shahi ppt..pptx
before the computed tomography, it had been widely used.
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Getting the Most Out of ScyllaDB Monitoring: ShareChat's Tips
ScyllaDB monitoring provides a lot of useful information. But sometimes it’s not easy to find the root of the problem if something is wrong or even estimate the remaining capacity by the load on the cluster. This talk shares our team's practical tips on: 1) How to find the root of the problem by metrics if ScyllaDB is slow 2) How to interpret the load and plan capacity for the future 3) Compaction strategies and how to choose the right one 4) Important metrics which aren’t available in the default monitoring setup.
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Discover the Unseen: Tailored Recommendation of Unwatched Content
The session shares how JioCinema approaches ""watch discounting."" This capability ensures that if a user watched a certain amount of a show/movie, the platform no longer recommends that particular content to the user. Flawless operation of this feature promotes the discover of new content, improving the overall user experience.
JioCinema is an Indian over-the-top media streaming service owned by Viacom18.
Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
OpenStudyBuilder Community Manager - Katja Glaß Consulting
Marius Conjeaud
Principal Consultant - Neo4j
What is an RPA CoE? Session 1 – CoE Vision
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
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From Natural Language to Structured Solr Queries using LLMs
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Principle of conventional tomography-Bibash Shahi ppt..pptx
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
Getting the Most Out of ScyllaDB Monitoring: ShareChat's Tips
Getting the Most Out of ScyllaDB Monitoring: ShareChat's Tips
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Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
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Discover the Unseen: Tailored Recommendation of Unwatched Content
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Leveraging the Graph for Clinical Trials and Standards
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QA or the Highway - Component Testing: Bridging the gap between frontend appl...
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
Eportfolio Collecting - Grabel
- 1. Collect
- 2. Collect Select E- Reflect portfolio Connect
- 3. E-portfolio Definition • A collection of digital objects or “artifacts” that serve as evidence of learning or accomplishment. • Usually contained in a website, blog or wiki • Can be used to showcase a person or organization (Snapshot in time) • Can be used as a record of ongoing work
- 4. Collect EVIDENCE CATEGORIES OF EVIDENCE • Typed material or • Authentic: documents Documentation or other • Scanned images or direct evidence documents • Explanations/Reflections • Digital images • Validations: External • Video or audio recording observations and • Web 2.0 elements such as feedback blogs and wikis
- 5. Collect What? Authentic: • Work Experience • Volunteer Experience • Articles about you • Articles by you • Presentations
- 6. Collect What? Authentic: • Projects Label all with • Papers titles, dates, places, other participants • Course/Lesson Plans • Photos • Videos • Interviews • Links • Blogs
- 7. Collect What? Explanations • In process reflections & Reflections • Personal reflections • Place items in context • Preliminary statements • Post experience learnings
- 8. Collect Select E- Reflect portfolio Connect
- 9. Select - Choose • This? • Not That? • Supports your narrative • Too much of the same • Displays your skills types of items • Represents your best • Not directly related • Too distracting
Editor's Notes
- An electronic portfolio, also known as an e-portfolio or digital portfolio, is a collection of electronic evidence assembled and managed by a user, usually on the Web. Such electronic evidence may include inputted text, electronic files, images, multimedia, blog entries, and hyperlinks. E-portfolios are both demonstrations of the user's abilities and platforms for self-expression, and, if they are online, they can be maintained dynamically over time. Some e-portfolio applications permit varying degrees of audience access, so the same portfolio might be used for multiple purposes.An e-portfolio can be seen as a type of learning record that provides actual evidence of achievement. Learning records are closely related to the Learning Plan, an emerging tool that is being used to manage learning by individuals, teams, communities of interest, and organizations. To the extent that a Personal Learning Environment captures and displays a learning record, it also might be understood to be an electronic portfolio.Read more: http://www.answers.com/topic/electronic-portfolio#ixzz1bAMELMHQ