A step by step presentation that details how to create a successful, easy-to-do science fair project by both explaining the steps of the scientific method, the key to any scientific investigation, and providing an example of a simple and inexpensive science fair project alongside each step.
Machine Learning Vital Signs: Metrics and Monitoring of AI in Production
This talk details the tracking of machine learning models in production to ensure model reliability, consistency, and performance into the future. Production models are interacting with the real world, and it is terrifying that often times nobody has any idea how they are performing on live data. The world changes! Bias and variance can creep into your models over time and you should know when that happens.
Greg Wilson - We Know (but ignore) More Than We Think#DevTO
Over the past thirty years, software engineering researchers have learned a lot about how software actually gets built, and about which tools and practices make developers more productive. However, most working programmers don’t know these studies exist, and don’t base their own work on the best available evidence. This talk will describe a more of the most interesting results, and explore why the gulf between research and practice persists.
Machine Learning Vital Signs: Metrics and Monitoring of AI in Production
This talk details the tracking of machine learning models in production to ensure model reliability, consistency, and performance into the future. Production models are interacting with the real world, and it is terrifying that often times nobody has any idea how they are performing on live data. The world changes! Bias and variance can creep into your models over time and you should know when that happens.
Greg Wilson - We Know (but ignore) More Than We Think#DevTO
Over the past thirty years, software engineering researchers have learned a lot about how software actually gets built, and about which tools and practices make developers more productive. However, most working programmers don’t know these studies exist, and don’t base their own work on the best available evidence. This talk will describe a more of the most interesting results, and explore why the gulf between research and practice persists.
Rocketry is a unit that has benefitted from multiple iterations over time. It's Project Based Learning at it's finest, integrating all content areas while keeping students engaged at the highest levels.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Rocketry is a unit that has benefitted from multiple iterations over time. It's Project Based Learning at it's finest, integrating all content areas while keeping students engaged at the highest levels.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
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.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
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.
1. A Parent’s Guide to
Science Fair Projects
How to Help Your Child Make an Easy and
Successful Science Fair Project
2. Science fair projects are a big and stressful
undertaking for any student, and they often require
the assistance of a parent at one or multiple stages
of the project. However, unlike their children,
parents don’t get to receive the classroom lesson on
the methods and requirements needed for a
successful science fair project. So here’s a quick
lesson on the key to a science fair project- the
scientific method- alongside an example of a simple
science fair project.
4. Every great scientific endeavor
starts with a question, including
scientific fair projects. Without the
process of asking a question it’s pretty
much impossible to do a successful
project since the whole point of the
scientific method is to answer a
question! A project that just builds or
demonstrates an event without asking
a question, such as creating a volcano,
making a potato battery, or growing
crystals, is not a science fair project.
However, these demonstration projects
can be adapted into projects that
follow the scientific method. For
example, if you wanted to build a
volcano, you could ask what would
Inside the box on each slide there will
be steps from an example science project
that follows the scientific method while still
being easy and inexpensive to do. The
question that this project will be asking is,
“Which design of paper airplane flies the
farthest?”
happen if you changed the ratio of
baking powder to vinegar.
6. The next step to a successful science
project is to design an experiment that
will answer your question. This includes
collecting materials, creating a procedure
for the experiment, and having a way to
measure the factors of the experiment
that are important to your question. Also,
make sure you consider the duration of
your experiment so that it gets done on
time! After designing your experiment,
the next important step in the scientific
method is to make your hypothesis, which
is a fancy name for a prediction. Your
hypothesis is what you think the outcome
of the experiment will be, or essentially
what the answer to your question is.
Designing the paper airplane
experiment...
1. Choose three different paper
airplane designs to test.
2. Gather together your materials-
paper, scissors, yardstick, pen or
pencil.
3. Make your hypothesis by picking
which airplane design you think
will fly the farthest.
8. Now you can perform your
experiment! Although your experiment
might be fun and interesting to do, don’t
forget to closely document all the
measurements and observations you
make throughout it. Write them down in
a notebook or journal or take pictures so
that you will have all the information you
need to answer your question and
complete your project!
Here’s the procedure for the paper airplane
experiment…
1. Build the three paper airplane designs
you’ve chosen.
2. Fly each plane four times. Use a
yardstick to measure how far each
plane flies.
3. Record how far the plane goes using
a table similar to this...
Plane 1 Plane 2 Plane 3
Trial 1 15 ft 20 ft 23 ft
Trial 2 18 ft 21 ft 22 ft
Trial 3 18.5 ft 25 ft 23.5 ft
Trial 4 17 ft 19 ft 24 ft
10. To analyze the results of the airplane
experiment….
1. Find the average distance of each
plane across the trials.
2. Use a program like Google Sheets or
Excel to make a graph that compares
the average values like the one below.
3. According to the results, Plane 3 flies
the farthest. See if that matches your
hypothesis!
Once you’ve completed your experiment
and collected all of your measurements and
observations, it’s time to answer your
question! First, you have to analyze your
results. Ask yourself questions like, “Do
these results make sense?”, “What do
these results mean?”, “How do these
results answer my question?”, and “Do
these results follow my hypothesis or
contradict it?”. Create some charts, tables,
or graphs that will creatively display the
results you’ve collected. Then, make your
final conclusion. Your conclusion should be
the answer to your initial question and a
statement on whether or not your
hypothesis was correct. Now you can share
your findings with the world!
