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We ask lots of questions as we plan for our student's learning. Some of the questions we ask are about where they are with their learning. But perhaps we miss one important question along the way. Maybe we should be asking questions about how our students will apply what they learn? 

I am currently reading "Thank you for being late: An optimist's guide to thriving in the age of accelerations" and have found in this the answer to these questions. In essence we are confronting two types of change, one that we have always faced and one that is unique to our current times. 

With many schools moving to online learning around the world I wanted to share a resource that might be of support.

It is tempting to make predictions of the skills that our students will need beyond their time at school. Such wondering can be a useful guide as we contemplate what we shall focus on with our curriculum. Unsurprisingly, there is no shortage of predictions for future skillsets published by educators, economists and analysts. What might we learn from such lists, and how should education systems respond?

We hope you find the guide interesting and don't lose too much time playing the Pac-Man

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This week's Recorded EdTech Live Stream, with interviews, reviews, resources, Scratch coding guide and more.

"A game where players guide Santa's sleigh through obstacles and to collect presents."

Google AdSense provides a space for the creators and publishers for earning money for the content they provide through online medium. Google AdSense attaches advertisements based on your content and the type of users or viewers on your platform. The advertisers pay for these ads and are willing to promote their services or products. The amount may vary, depends on the advertisers and hence you may receive different amounts at different times.

How to Prepare for a Data Scientist Interview? Are you struggling to get into data science and wondering what the interviews will be like? You might even know data science. You might also know about Data Science tools and techniques but still getting rejected in the interviews. It is essential to brush up your skillset to become a Data Scientist in demand. These are some times where many of us are hoping to change or find some job. Interview preparation has become an important step to land a good job. What's more, interviews are a serious thing for everybody. Uncertainty, randomness, and human blunders make an interview damn unnerving. Preparing for an interview is the only way to limit your misfortunes during an interview. Here's the step by step guide for Data Science Interview Process The Interview process begins directly from the point you begin investigating the various job positions that allure you. Furthermore, it goes up to the stage of in-person (face to face) interviews. Remember that this is a crucial interview procedure. You probably won't need to experience every single step in your interview procedure. Comprehend and follow the Different Roles, Skills and Interviews Update your Resume and Start Applying! Telephonic Screening Clearing the Assignments In-Person Interaction(s) Post-Interview Steps The above-mentioned steps will be helpful all through your Interview preparation! Know about different Roles, Skills and Interviews in Data Science The main thing you need to comprehend is that there are many jobs in the data science environment. An average data science project has a life cycle. A data scientist is just one part of an effective data science project. Let's check out a quick run-through of different data Scientist job roles. Data Scientist Business Analyst Data Analyst Data Visualizer Analyst Data Science Manager Data Architect AI Engineer PC Vision Engineer

Cybersecurity is an area that is new and exciting. People like to know how to be safe from cyber attacks to digital terrorism. It can at first seem daunting to dive into the field of cybersecurity because it is a complex topic. However, with technology being a greater part of everyday life, it is a must to know about cyber risks. Cybersecurity podcasts have been a useful tool for years to absorb security content, keep updated with the recent risks, hear about current events, and everything else you need to know in order to stay at the top of your game. If you work in technology or are only starting to learn about the field, these are the best podcasts on the topic of cybersecurity. There are several great podcasters lauding from the security field, delivering decades of experience, fresh experiences, and useful knowledge to listeners around the globe. We have discovered 10 podcasts full of engaging conversations, interviews, and resources on recent trends and events. These podcasts are great at keeping up on the news, gathering valuable advice, not to forget that they are fun to listen to, from the newest security technologies to the emergence of new malware. Here goes the list of top 10 podcasts in cybersecurity in 2021. 1. Darknet Diaries: Host: Jack Rhysider Date of podcast launch: September 2017 Three typical topics: ATM hacking, the history of carding, Stuxnet Available on: RSS, YouTube, Spotify, iTunes, Google, Overcast, Stitcher and others Average episode length: 60 minutes, bi-weekly Website: darknetdiaries.com Darkest Diaries is undoubtedly amongst one of the most fascinating and interesting podcasts. Something that should be on the top of your watchlist. This investigatory podcast digs deeper into actual tales about cybercrime, malware, and everything else on the internet that is suspicious. Darknet Diaries provides extensive review for those who are pragmatic about the data breaches faced to today's people and corporations, featuring "true stories f

Most business Entrepreneurs and Data Scientists can disclose how to triumph with (AI) and ML, yet rarely anyone can share to fail with such technologies. While the innovation is solid and publicised   there is a lot of ways to fall flat with AI. Let's talk about nine innovative approaches to censure any AI startup to bankruptcy. #1 Cut R&D expenses AI requires heavy expenditure in cutting-edge research, experimentation, advanced computing, and computing infrastructure. Any AI startup willing to create helpful AI innovations needs to spend a lot of money on innovative work (R&D). To scale down expenses in this area, cutting R&D expenses will rapidly make way to failure. #2 Technology Bubble operation Technology is confined to the social condition in which it is created. Technology never sustains itself but other various important aspects. AI has failed a few times since the commencement of computer science not for technical reasons but as a result of an absence of social need and interest at that point. Experience has taught that AI advancements can't be made in isolation from the social conditions that make them important (like medical care, Health analysis, and money). It is quite crucial to first engineer people to persuade them. Before designing the actual technology, visionaries and business visionaries convince them to suspend their questions and embrace the novelty and utility of disruptive ideas. Working in a bubble and overlooking the current necessities of society is a certain way to failure. #3 Prioritize Technology over business technique Only technology isn't enough to make progress, regardless of how strong it is. In the end, Tech startups also need a great strategy to succeed in being a business entity. Any startup that comes up short on a technique for recognizing objective business sectors, generating sales, and viably allotting and spending resources, yet gives need only to their technical resources, is destined to fail rapidly.

Affiliate Marketing is a rational and flexible sales strategy that creates numerous income streams. However, it is not an easy, get-rich-quick form of income. Earning through Affiliate Marketing requires: Research into products, web traffic patterns, and follower interests. Regular engagement with the products and brand networks that you choose to endorse. Hours of maintaining a relationship with the followers who show interest in the service/product or purchase them through your affiliate links. Using Search Engine Optimization (SEO) and social media marketing to consistently attract new followers. Successful Affiliate Marketing strategies: Knowing your partners- Research each affiliate scheme you think about joining so that you will understand how and when you'll be paid. Build trust- Buy the products and personally witness the quality. You'll be judged by the product or service you promote, you need to focus on the quality of your recommendations, not just the earning potential. This gains your followers' trust and would purchase through you in the future. Relevance- Choose wisely that matches your niche and the contents of your blog. SEO or social media alone cannot drive people to your website and affiliate referrals, understand your target audience. Know the legal requirements- You should write a review or use an in-text link as a recommendation. You can mention each purchase using that link can make a revenue for you, not disclosing affiliate or revenue-generating links, could make you face legal and financial penalties. Track your traffic and earnings- Observe the success of your affiliate programs, know which programs are the most successful and which products resonate with your followers so you can plan future campaigns. Watch AntWak videos on Affiliate Marketing, which is an achievable income option, but it doesn't work for every business, making an income through affiliate marketing requires dedication and commitment over a long period of time.

Programmatic advertising is about automatically buying and selling online advertisements. It does not matter how creative an ad is, placing it correctly to the right targeted audience is the only way it can be effective. Hence, buying the best ad space at the best price & selecting the right target audience, is the key thing. The whole process of Programmatic advertising includes two parties: Advertisers who buy the ad space online Publishers, who own the digital space and are willing to sell Programmatic advertising uses algorithmic software that operates the sale and placement of digital ad impressions via ad exchange platforms in a fraction of a second. It also includes traffic data and online targeting methods to give out impressions more precisely and at scale, hence a better return in investment for both parties. Programmatic advertising The process of Programmatic ads in summary: A person clicks on a website The website owner puts the ad impression up for auction Advertisers offer bids for the impression The highest bidder wins the ad impression The ad is served on the website to the users The user hopefully clicks on the ad and converts All the steps above happen instantly, if the user, who clicked on the ad is a strong potential customer, which is calculated based on their surfing data history and online profile, the bid served for your impression will become higher. Watch AntWak video on programmatic ads to know more.

Everything needs an upgrade eventually, even a successful eLearning course. But is it really feasible to modernize an eLearning course without spending unnecessary time and money?

We are living in interesting, frightening and rapidly changing times. Where rapid changes and transformations through technology, politics, globalisation and the climate, conspire against normality. These times demand a fresh approach to education, one that provides learners with the thinking dispositions they need to turn challenges into opportunities.  "All that was 'normal' has now evaporated; we have entered postnormal times, the in-between period where old orthodoxies are dying, new ones have not yet emerged, and nothing really makes sense." But what thinking might guide us through this time of volatility, uncertainty, complexity and ambiguity?

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