Virtual Worlds Explorations and Implications is a keynote address for the Association for Information Technology Professionals (AITP). These slides discuss business and IT concerns, virtual worlds statistics and provide visual examples from Second Life.
Content and photos by Cynthia Calongne. Licensed under a Creative Commons Share Alike with Attribution License.
These slides highlight CTU class projects in Second Life and were presented during an Educator of the Year 2008 Showcase. They feature Second Life projects from 6 CTU classes and Suffern Middle School's virtual world activities at Ramapo on Second Life's Teen Grid.
Using Virtual Environments For Online and Campus ClassesCynthia Calongne
Workshop held at UMBC on January 21, 2010 on teaching and learning using virtual environments, part 1 of 2 by Colorado Technical University professor Cynthia Calongne, known as Lyr Lobo in Second Life.
UNC TLT 2011 Conference in Second Life keynote address by Dr. Cynthia Calongne as Lyr Lobo. Hosted April 12, 2011 at 6:00 AM SLT (Pacific). Includes the NMC Horizon Report 2011 and the educator's view of the future.
Virtual Worlds Explorations and Implications is a keynote address for the Association for Information Technology Professionals (AITP). These slides discuss business and IT concerns, virtual worlds statistics and provide visual examples from Second Life.
Content and photos by Cynthia Calongne. Licensed under a Creative Commons Share Alike with Attribution License.
These slides highlight CTU class projects in Second Life and were presented during an Educator of the Year 2008 Showcase. They feature Second Life projects from 6 CTU classes and Suffern Middle School's virtual world activities at Ramapo on Second Life's Teen Grid.
Using Virtual Environments For Online and Campus ClassesCynthia Calongne
Workshop held at UMBC on January 21, 2010 on teaching and learning using virtual environments, part 1 of 2 by Colorado Technical University professor Cynthia Calongne, known as Lyr Lobo in Second Life.
UNC TLT 2011 Conference in Second Life keynote address by Dr. Cynthia Calongne as Lyr Lobo. Hosted April 12, 2011 at 6:00 AM SLT (Pacific). Includes the NMC Horizon Report 2011 and the educator's view of the future.
Continuous Deployment: The Dirty DetailsMike Brittain
Presented at ALM Summit 3 in Redmond, WA. January 2013.
Like what you've read? We're frequently hiring for a variety of engineering roles at Etsy. If you're interested, drop me a line or send me your resume: mike@etsy.com.
http://www.etsy.com/careers
Overview of how software development teams can do Application Security Threat Modeling using 5 easy Agile design diagrams that ever project should have.
This presentation is available on YouTube in the "AppSec & DevSecOps" channel @ https://www.youtube.com/channel/UCZf4TvI-FIWUyBYTTvDhiuQ.
If there is one crucial thing in building ML models, this would be the data preparation. That is the process of transforming raw data to a state where machine learning algorithms could be run to disclose insights and make predictions. Data preparation involves analysis, depends on the nature of the problem and the particular algorithms. As far as there are knowledge and experience involved, there is no such thing as automation, which makes the role of the data scientist the key to success.
ML is trendy and Microsoft already have more than 10 services to support ML. So we will focus on tools like Azure ML Workbench and Python for data preparation, review some common tricks to approach data and experiment in Azure ML Studio.
Online performance modeling and analysis of message-passing parallel applicat...MOCA Platform
Although the evolution of hardware is improving at an incredible rate, the advances in
parallel software have been hampered for many reasons. Developing an efficient parallel
application is still not an easy task. Our thesis is that many performance problems and their reasons can be quickly located and explained with automated techniques that work on unmodified parallel applications. This work identifies main obstacles for such diagnosis and presents a two-step approach for addressing them. In this approach, the application is automatically modeled and diagnosed during its execution.
First, we introduce an online performance modeling technique that enables automated discovery of causal execution flows through communication and computational activities in message-passing parallel programs. Second, we present a systematic approach to online performance analysis. The automated
analysis uses online model to quickly identify the most important performance problems,
and correlate them with application source code. Our technique is able to discover causal
dependences between the problems, infer their root causes in some scenarios and explain
them to developers. In this work, we focus on diagnosing scientific MPI parallel applications and their communication and computational problems although the approach can be extended to support other classes of activities and programming models.
We have evaluated our approach on a variety of scientific parallel applications. In all scenarios, our online performance modeling technique proved effective for low-overhead capturing of program’s behavior and facilitated performance understanding. With our automated, model-based performance analysis approach, we were able to easily identify the most severe performance problems during application execution, and locate their root causes without previous knowledge of application internals.
AppSensor Near Real-Time Event Detection and Response - DevNexus 2016jtmelton
AppSensor is an OWASP project that defines a conceptual framework, methodology, guidance and reference implementation to design and deploy malicious behavior detection and automated responses directly within software applications.
There are many security protections available to applications today. AppSensor builds on these by providing a mechanism that allows architects and developers to build into their applications a way to detect events and attacks, then automatically respond to them. Not only can this stop and/or reduce the impact of an attack, it gives you incredibly valuable visibility and security intelligence about the operational state of your applications.
Testing System Qualities Agile2012 by Rebecca Wirfs-Brock and Joseph YoderJoseph Yoder
Agile teams incrementally deliver functionality based on user stories. In the sprint to deliver features, frequently software qualities such as security, scalability, performance, and reliability are overlooked. Often these characteristics cut across many user stories. Trying to deal with certain system qualities late in the game can be difficult, causing major refactoring and upheaval of the system’s architecture. This churn isn’t inevitable. Especially if you adopt a practice of identifying those characteristics key to your system’s success, writing quality scenarios and tests, and delivering on these capabilities at the opportune time. We will show how to write Quality Scenarios that emphasize architecture capabilities such as usability, security, performance, scalability, internationalization, availability, accessibility and the like. This will be hands-on; we present some examples and follow with an exercise that illustrates how you can look at a system, identify, and then write and test quality scenarios.
• Explored and cleaned huge amount of user activity logs (JSON) from Movies website using Map Reduce jobs in Python.
• Classified user accounts into adults and children for targeted advertising by implementing Similarity Ranking algorithm.
• Grouped user sessions based on user behavior using K means clustering to observe outliers and to find distinctive groups.
• Predicted ratings for movies using User-user and Item-Item based recommendation algorithms using Mahout.
Алексей Ященко и Ярослав Волощук "False simplicity of front-end applications"Fwdays
It’s easy to underestimate a front-end project's complexity, which leads to shallow and thus incorrect implementation. Attempts to fix this problem result in uncontrolled complexity growth and undefined behavior in corner cases.
We'll discuss ways of revealing the inherent complexity of a problem and dealing with it both on theoretical and practical levels.
Data Scientists and Machine Learning practitioners, nowadays, seem to be churning out models by the dozen and they continuously experiment to find ways to improve their accuracies. They also use a variety of ML and DL frameworks & languages , and a typical organization may find that this results in a heterogenous, complicated bunch of assets that require different types of runtimes, resources and sometimes even specialized compute to operate efficiently.
But what does it mean for an enterprise to actually take these models to "production" ? How does an organization scale inference engines out & make them available for real-time applications without significant latencies ? There needs to be different techniques for batch (offline) inferences and instant, online scoring. Data needs to be accessed from various sources and cleansing, transformations of data needs to be enabled prior to any predictions. In many cases, there maybe no substitute for customized data handling with scripting either.
Enterprises also require additional auditing and authorizations built in, approval processes and still support a "continuous delivery" paradigm whereby a data scientist can enable insights faster. Not all models are created equal, nor are consumers of a model - so enterprises require both metering and allocation of compute resources for SLAs.
In this session, we will take a look at how machine learning is operationalized in IBM Data Science Experience (DSX), a Kubernetes based offering for the Private Cloud and optimized for the HortonWorks Hadoop Data Platform. DSX essentially brings in typical software engineering development practices to Data Science, organizing the dev->test->production for machine learning assets in much the same way as typical software deployments. We will also see what it means to deploy, monitor accuracies and even rollback models & custom scorers as well as how API based techniques enable consuming business processes and applications to remain relatively stable amidst all the chaos.
Speaker
Piotr Mierzejewski, Program Director Development IBM DSX Local, IBM
Building Self-Defending Applications With OWASP AppSensor JavaOne 2016jtmelton
AppSensor is an OWASP project that enables you to build self-defending applications with attacker detection and automated response capabilities. There are many security protections available to applications today. AppSensor builds on these by providing a mechanism that enables architects and developers to build into their applications a way to detect events and attacks and then automatically respond to them.
Relay for Life of Second Life_a Nonprofit Commons Tour.pdfCynthia Calongne
We have raised over $5 million dollars in 20 years of fundraising to fight cancer in Second Life.
At the Nonprofit Commons on June 7th, I am hosting an armchair tour of the 24-hour Relay for Life of Second Life, which is June 8-9, 2024. The Relay event begins June 8th at 10:00 am Pacific and ends at Noon on June 9th. Go Relay!
AI for Nonprofits_Exploring the News_ Creative Use and ChallengesCynthia Calongne
AI for Nonprofits, a presentation by Dr. Cynthia Calongne for the Nonprofit Commons in Second Life. Features benefits, challenges, and AI news to illustrate ethical and safe use of AI for nonprofit organizations.
Continuous Deployment: The Dirty DetailsMike Brittain
Presented at ALM Summit 3 in Redmond, WA. January 2013.
Like what you've read? We're frequently hiring for a variety of engineering roles at Etsy. If you're interested, drop me a line or send me your resume: mike@etsy.com.
http://www.etsy.com/careers
Overview of how software development teams can do Application Security Threat Modeling using 5 easy Agile design diagrams that ever project should have.
This presentation is available on YouTube in the "AppSec & DevSecOps" channel @ https://www.youtube.com/channel/UCZf4TvI-FIWUyBYTTvDhiuQ.
If there is one crucial thing in building ML models, this would be the data preparation. That is the process of transforming raw data to a state where machine learning algorithms could be run to disclose insights and make predictions. Data preparation involves analysis, depends on the nature of the problem and the particular algorithms. As far as there are knowledge and experience involved, there is no such thing as automation, which makes the role of the data scientist the key to success.
ML is trendy and Microsoft already have more than 10 services to support ML. So we will focus on tools like Azure ML Workbench and Python for data preparation, review some common tricks to approach data and experiment in Azure ML Studio.
Online performance modeling and analysis of message-passing parallel applicat...MOCA Platform
Although the evolution of hardware is improving at an incredible rate, the advances in
parallel software have been hampered for many reasons. Developing an efficient parallel
application is still not an easy task. Our thesis is that many performance problems and their reasons can be quickly located and explained with automated techniques that work on unmodified parallel applications. This work identifies main obstacles for such diagnosis and presents a two-step approach for addressing them. In this approach, the application is automatically modeled and diagnosed during its execution.
First, we introduce an online performance modeling technique that enables automated discovery of causal execution flows through communication and computational activities in message-passing parallel programs. Second, we present a systematic approach to online performance analysis. The automated
analysis uses online model to quickly identify the most important performance problems,
and correlate them with application source code. Our technique is able to discover causal
dependences between the problems, infer their root causes in some scenarios and explain
them to developers. In this work, we focus on diagnosing scientific MPI parallel applications and their communication and computational problems although the approach can be extended to support other classes of activities and programming models.
We have evaluated our approach on a variety of scientific parallel applications. In all scenarios, our online performance modeling technique proved effective for low-overhead capturing of program’s behavior and facilitated performance understanding. With our automated, model-based performance analysis approach, we were able to easily identify the most severe performance problems during application execution, and locate their root causes without previous knowledge of application internals.
AppSensor Near Real-Time Event Detection and Response - DevNexus 2016jtmelton
AppSensor is an OWASP project that defines a conceptual framework, methodology, guidance and reference implementation to design and deploy malicious behavior detection and automated responses directly within software applications.
There are many security protections available to applications today. AppSensor builds on these by providing a mechanism that allows architects and developers to build into their applications a way to detect events and attacks, then automatically respond to them. Not only can this stop and/or reduce the impact of an attack, it gives you incredibly valuable visibility and security intelligence about the operational state of your applications.
Testing System Qualities Agile2012 by Rebecca Wirfs-Brock and Joseph YoderJoseph Yoder
Agile teams incrementally deliver functionality based on user stories. In the sprint to deliver features, frequently software qualities such as security, scalability, performance, and reliability are overlooked. Often these characteristics cut across many user stories. Trying to deal with certain system qualities late in the game can be difficult, causing major refactoring and upheaval of the system’s architecture. This churn isn’t inevitable. Especially if you adopt a practice of identifying those characteristics key to your system’s success, writing quality scenarios and tests, and delivering on these capabilities at the opportune time. We will show how to write Quality Scenarios that emphasize architecture capabilities such as usability, security, performance, scalability, internationalization, availability, accessibility and the like. This will be hands-on; we present some examples and follow with an exercise that illustrates how you can look at a system, identify, and then write and test quality scenarios.
• Explored and cleaned huge amount of user activity logs (JSON) from Movies website using Map Reduce jobs in Python.
• Classified user accounts into adults and children for targeted advertising by implementing Similarity Ranking algorithm.
• Grouped user sessions based on user behavior using K means clustering to observe outliers and to find distinctive groups.
• Predicted ratings for movies using User-user and Item-Item based recommendation algorithms using Mahout.
Алексей Ященко и Ярослав Волощук "False simplicity of front-end applications"Fwdays
It’s easy to underestimate a front-end project's complexity, which leads to shallow and thus incorrect implementation. Attempts to fix this problem result in uncontrolled complexity growth and undefined behavior in corner cases.
We'll discuss ways of revealing the inherent complexity of a problem and dealing with it both on theoretical and practical levels.
Data Scientists and Machine Learning practitioners, nowadays, seem to be churning out models by the dozen and they continuously experiment to find ways to improve their accuracies. They also use a variety of ML and DL frameworks & languages , and a typical organization may find that this results in a heterogenous, complicated bunch of assets that require different types of runtimes, resources and sometimes even specialized compute to operate efficiently.
But what does it mean for an enterprise to actually take these models to "production" ? How does an organization scale inference engines out & make them available for real-time applications without significant latencies ? There needs to be different techniques for batch (offline) inferences and instant, online scoring. Data needs to be accessed from various sources and cleansing, transformations of data needs to be enabled prior to any predictions. In many cases, there maybe no substitute for customized data handling with scripting either.
Enterprises also require additional auditing and authorizations built in, approval processes and still support a "continuous delivery" paradigm whereby a data scientist can enable insights faster. Not all models are created equal, nor are consumers of a model - so enterprises require both metering and allocation of compute resources for SLAs.
In this session, we will take a look at how machine learning is operationalized in IBM Data Science Experience (DSX), a Kubernetes based offering for the Private Cloud and optimized for the HortonWorks Hadoop Data Platform. DSX essentially brings in typical software engineering development practices to Data Science, organizing the dev->test->production for machine learning assets in much the same way as typical software deployments. We will also see what it means to deploy, monitor accuracies and even rollback models & custom scorers as well as how API based techniques enable consuming business processes and applications to remain relatively stable amidst all the chaos.
Speaker
Piotr Mierzejewski, Program Director Development IBM DSX Local, IBM
Building Self-Defending Applications With OWASP AppSensor JavaOne 2016jtmelton
AppSensor is an OWASP project that enables you to build self-defending applications with attacker detection and automated response capabilities. There are many security protections available to applications today. AppSensor builds on these by providing a mechanism that enables architects and developers to build into their applications a way to detect events and attacks and then automatically respond to them.
Relay for Life of Second Life_a Nonprofit Commons Tour.pdfCynthia Calongne
We have raised over $5 million dollars in 20 years of fundraising to fight cancer in Second Life.
At the Nonprofit Commons on June 7th, I am hosting an armchair tour of the 24-hour Relay for Life of Second Life, which is June 8-9, 2024. The Relay event begins June 8th at 10:00 am Pacific and ends at Noon on June 9th. Go Relay!
AI for Nonprofits_Exploring the News_ Creative Use and ChallengesCynthia Calongne
AI for Nonprofits, a presentation by Dr. Cynthia Calongne for the Nonprofit Commons in Second Life. Features benefits, challenges, and AI news to illustrate ethical and safe use of AI for nonprofit organizations.
Lyr Lobo hosted the 2024 Nonprofit Commons tour of the Second Life Fantasy Faire's 20 regions and the Bard Queen's Quest. The slides feature images of LitFest and the Quest companion, Theo.
Finding Educator Freebies in the Metaverse Lyr Lobo.pptxCynthia Calongne
Workshop and presentation by Dr. Cynthia Calongne, aka Lyr Lobo in the Metaverse for the 29th Annual TCC Hawaii Worldwide Online Conference. The session includes a demonstration of how to Hypergrid, surf the Metaverse of 3D virtual worlds, and find 3D content for educational use. The slides give a quick overview of the process and destinations. Have fun!
Presentation by Cynthia Calongne, aka Lyr Lobo, and Joyce Bettencourt, aka Rhiannon Chatnoir, for the AI & I Exhibition at the Museum of Contemporary Art at CDS. Topics featured AI Art, using GenAI for prompt engineering, resources from the Cengage Empowered Educator 2024 conference, and AI use cases and topic areas for future sessions.
NPC at the OpenSimulator Community Conference 2023.pdfCynthia Calongne
Joyce Bettencourt as Rhiannon Chatnoir and Dr. Cynthia Calongne as Lyr Lobo present the session highlights from the OpenSimulator Community Conference to the Nonprofit Commons on December 8, 2023. This Metaverse conference is Dec 9-10, 2023.
AI in Prompt Engineering by Dr Calongne at CTU.pdfCynthia Calongne
May 18, 2023 presentation on AI and Prompt Engineering by Dr. Cynthia Calongne for the CTU Doctoral Symposium. Links include the workshop handout and examples from AI art and generative AI tools.
Lyr Lobo is Surfing the Metaverse VWMOOC 2023.pdfCynthia Calongne
Presentation by Dr. Cynthia Calongne, aka Lyr Lobo for the Virtual Worlds MOOC 2023 and the Nonprofit Commons on how to surf the Metaverse and shop in OpenSimulator virtual worlds using OpenSimWorld.com. Features a tribute to OPENSIM Fest 2023.
Joyce Bettencourt, David Fliesen, and Cynthia Calongne present our second workshop on STEAMy AI for the Virtual World Massive Open Online Course 2023 and the Nonprofit Commons in Second Life.
The story continues with updated examples and information on how AI Art stimulates creativity to support STEM education in science, technology, engineering, and math.
We explore additional AI Art tools and examine a template for improving prompts via natural language processing (NLP).
A keynote address by Dr. Cynthia Calongne or the International Conference on Media in Education (iCoME) 2023 on August 16, 2023, which appears August 17, 2023 by invitation of the College of Education at Wenzhou University, China. Many thanks to the Organizing Committee, Bert Kimura, and Curtis HO at TCC at the University of Hawai'i at Manoa. The session illustrates the Metaverse, how we teach and learn, and the transformation for online and campus education.
STEAMy AI in Education_VWEC AI Expert Series.pdfCynthia Calongne
VWEC AI Expert Series presentation by Dr. Cynthia Calongne, aka Lyr Lobo, and Joyce Bettencourt, aka Rhiannon Chatnoir. Description: Join us at the Virtual Worlds Education Consortium in Second Life as we explore the use of AI in education and the Arts. This session features AI use in virtual worlds, teaching AI for ethical use, safety, explainable AI, and research, and prompt generation to create artifacts for sparking creativity and inspiration.
AI Art Exhibit for SLEA4 in 2023 by Lyr Lobo.pptxCynthia Calongne
The AI Art Exhibit by Lyr Lobo, aka Dr. Cynthia Calongne, blends William Gibson's The Peripheral with portals to a Secret Garden, a fairytale land, and in the style of Thomas Cole's Voyage of Life series. Designed in Midjourney, this AI Art is on exhibit in Second Life from May 24-June 30, 2023. It is in teleporter #4 within Art Blue's Genesis Tower.
Fantasy Faire of SL 2023 NPC tour by Lyr Lobo.pptxCynthia Calongne
A Nonprofit Commons Tour of the Fantasy Faire 2023 in Second Life by Dr. Cynthia Calongne, aka Lyr Lobo. Features a video tour of the 22 regions and information on LitFest, the Literary Festival. Both the Fantasy Faire and LitFest benefit the American Cancer Society's Relay for Life of Second Life. Go Relay!
Presentation for the OpenSimulator Community Conference 2022 on December 11th with Dr. Andrew Stricker, Dr. Cynthia Calongne, Dr. Francisca Yonekura, Mrs. Betty Stricker, and our science fiction librarian, JJ Drinkwater.
Sharing 18 years of teaching in the Metaverse.pdfCynthia Calongne
Presentation hosted by Dr. Cynthia Calongne, aka Lyr Lobo for the Virtual Worlds Education Consortium on Friday, November 11, 2022. Unlike other sessions, this one is a salute to some of our early pioneers and how they helped to shape the early work in teaching between worlds and across the Metaverse.
How to Design a Course and Teach in VWs and VR.pptxCynthia Calongne
Dr. Cynthia Calongne, aka Lyr Lobo, presented "How to Design a Course and Teach in Virtual Worlds and VR Environments" for the Virtual Worlds Massive Open Online Course 2022 #VWMOOC22 conference and simulcast it during the Nonprofit Commons. I want to thank the VWMOOC22 organizers for their inspiring work in strengthening education in VR environments. *cheers*
A keynote address by Dr. Cynthia Calongne from Parker University in Dallas, Texas, USA for the Global Smart Education Conference on the Metaverse in Education. The conference is August 18-20, 2022.
Fantasy Faire 2022 of Second Life NPC Tour by Lyr Lobo.pdfCynthia Calongne
Join us on April 29, 2022 for a visual tour of the Fantasy Faire 2022 in Second Life by Lyr Lobo, aka Dr. Cynthia Calongne. We'll continue the tour on May 6, 2022 of the Fairelands.
Education in the Metaverse_Reflections at eLCC.pptxCynthia Calongne
Closing Keynote for the eLearning Consortium of Colorado (eLCC) 2022 conference April 13-15, 2022 by Dr. Cynthia Calongne, aka, Lyr Lobo, faculty XR/VR champion at Parker University.
TCC Hawai'i 27th Annual Worldwide Online Learning Conference Plenary on VR 2022: Learning in the Metaverse by Dr. Cynthia Calongne, faculty XR/VR champion at Parker University. Illustrates the early work and recent work on the development of an Oculus Quest 2 (Meta) app illustrating Sakurajima and Ikigai designs. Mahalo, TCC!
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Gordon Research Conference 2011
1. Games and Simulation Design: From
a Hostage Rescue Game to
Geothermal Energy on Mars in
Virtual Harmony
Cynthia Calongne, D.CS. Andrew Stricker, Ph.D.
Colorado Technical Air University
University
2. Time for reflection…
“HERE IS EDWARD BEAR,
COMING DOWNSTAIRS NOW,
BUMP, BUMP, BUMP,
ON THE BACK OF HIS HEAD
BEHIND CHRISTOPHER ROBIN.
IT IS, AS FAR AS HE KNOWS,
THE ONLY WAY OF COMING
DOWNSTAIRS
BUT SOMETIMES,
HE FEELS THAT
THERE REALLY MUST BE
A BETTER WAY…
IF ONLY HE COULD STOP
BUMPING FOR A MOMENT
AND THINK OF IT.”
3. The Context: How can games and
simulations be designed for helping
digital natives learn?
Design factors...
“Wet” ware “Sim” ware
8. Examples of games and simulations for
learning in a 3D world...
Operation Relief Worker
Rescue Challenge
A team-based strategy challenge
game set in a game simulation kit
Mars Expedition
Strategy Challenge
Studying deep space exploration
Challenge in a context-rich
environment
28. The model manipulative...
Inferencing about
Diagnosis,
system variables and
Observations using Assessment of current identification of
interdependencies
system model
system state
recovery/solution
through manipulation
steps, implementation
of system model
System Model
Interface
Observable
events
Controller(s)
Commands
Real-time Control
Failure Diagnosis
Failure Recovery
