3 Ways Elearning Is Disrupting the Education Industry

Whether in a formal or informal setting, the ability to conduct research and impart knowledge has always been a crucial part of human life. That led to the establishment of colleges that are now centuries-old and have grown to become institutions. Those institutions might have seemed permanent and too dominant to challenge just a year ago, but the events of 2020 have caused a seismic shift in how people live, and how we learn specifically, such that digital education is clearly going to be the dominant force in the years to come.

This represents a lot of change in the sector, from the kinds of tutors who will be able to succeed in the new model to the tools the students and their teachers will need for an efficient process. That change also represents an immense opportunity for entrepreneurs — to make a profit while making a real impact on the future of humanity.

1. Interactive media

An important aspect of elearning is the ability to use a variety of media in communicating information. While traditional education models were largely restricted to text, and in some cases, audio and video, new digital learning platforms can leverage advanced technologies such as virtual reality (VR) and augmented reality (AR) to create a more immersive learning experience that will help students understand and retain more of the information which they are taught.

It’s also particularly helpful for training, where students gain experience using complex equipment without the risk of making real-life errors. Flight training for pilots and surgery models for surgeons are two increasingly popular applications.

A recent study by showed that education is No. 4 on the list of sectors receiving the largest amount of VR-related investments, shaping the industry to be worth over $700 million by 2025. That would amount to an increase of over 500% in the next five years. As large as those numbers are, they are unsurprising when we consider that up to 97% of surveyed students stated that they would be interested in undergoing a VR educational course. The market will always go where the money is.

2. Flexibility and on-demand education

This is another primary driving factor of the elearning revolution, and it is visible in every aspect of the system. From the fact that students can attend and participate actively in class from anywhere in the world using teleconferencing software, to on-demand classes that allow students to set their own schedules and learn at their own pace, the key is to provide a learning experience that is as tailored to the needs of each student as possible.

This flexibility means that students have full control over their learning process, thus making them more likely to stick to it. Corporate organizations have also been making a push into elearning as part of their training processes. In fact, 41.7% of global Fortune 500 Companies were already using some form of digital training as far back as 2013, and that number has only continued to grow.

This flexibility also reflects in the marketing approach. While traditional institutions are more uptight and reserved, entrepreneurs in the digital learning space can be more engaging by implementing content marketing strategies to attract users, such as the Learn a Course Online course reviews section which helps online learners share their experiences with online courses to help others make the best choices.

3. Artificial intelligence

Education has traditionally been driven by the and student, progressing based on their interactions. Nowadays, advances in artificial intelligence and machine learning/neural networks have resulted in software capable of evaluating how a student is doing based on a variety of criteria and guiding them accordingly to ensure they understand what is being taught fully.

These tools use everything from how students answer quizzes to how long they spend on a page and how many times they look back at certain sections to produce personalized learning plans just for that particular student.

This level of granularity in the education system is unprecedented, giving students the ability to direct their lessons and entire learning experience with the assistance of advanced AI. When combined with the removal of time constraints and a strict curriculum, it is clear why there is such a huge interest in digital learning among teachers and students alike, and why the industry is so ripe for disruption by savvy entrepreneurs.

By: Ademola Alex Adekunbi / Entrepreneur Leadership Network Contributor Founder of Tech Law Info

Source: 3 Ways Elearning Is Disrupting the Education Industry

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What is the Future of Online Education?

Expectations From the Education Sector

Education at scale doesn’t have to suck. If you ditch conventional e-learning’s clicky gimmicks, and focus instead on science-backed design principles and powerful human stories, your training will shift from tedious to transformative. Dr. Aaron Barth, thought-leader and president of Dialectic, gives progressive leaders the confidence they need to tackle their hardest people problems using scientific methods. Rooted in education, Dr. Barth founded Dialectic after completing his Ph.D. in Philosophy at Western University, keen on fusing theory with application.
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NEWS AND TRENDS 3 Ways Elearning Is Disrupting the Education Industry Digital education, driven by advanced technologies, represents […] Interactive media An important aspect of elearning is the ability to use a variety of media in communicating information […] Flexibility and on-demand education This is another primary driving factor of the elearning revolution, and it is visible in every aspect of the system […] Corporate organizations have also been making a push into elearning as part of their training processes […]
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Why Learner Centered Education Is The Key To Meaningful School Improvement

Effective educators have long known that one-size-fits all approaches to teaching and learning are insufficient. Through extraordinary effort, they have figured out ways to differentiate and personalize learning for their students. They have done so despite an industrial-era education paradigm that makes it very difficult to do so. Over time, some of their efforts were named, systematized, and scaled.

Today, building on these approaches, some believe (count us among them) that a shift to an entirely new education paradigm is within reach. Harnessing new technologies, aided by advancements in transportation and communication, and required in order to adequately respond to deep and disruptive social, economic, environmental, and political forces, we envision a fundamental shift in how learners experience their education.

Specifically, we envision moving from a school-centric, industrial-age model akin to factories and assembly lines, to a learner-centric, networked-age model characterized by lateral connections and flexibility. In short, we envision learner-centered education. But what does the movement towards learner-centered education mean for the many methods for designing learning and differentiating support to students developed in recent decades?

In this piece, we identify some of the most-broadly adopted methods developed by educators to differentiate support, improve learning design, and meet the individual needs of learners. They include Response to Intervention (RTI), Positive-Behavior Intervention Systems (PBIS), Universal Design for Learning (UDL), and Multi-Tiered System of Support (MTSS). Then, we seek to compare learner-centered education to these approaches, exploring the implications for each. Ultimately, we will make the following arguments:

  1. Learner-centered education is about a paradigm shift, not a specific methodology.
  2. Learner-centered education requires learning design that is flexible and adaptive, similar to or expanding upon the principles of UDL.
  3. Learner-centered education may include specific methodologies for differentiating support (e.g. RtI or PBIS), but it is more likely to extend and/or replace them.
  4. Learner-centered education is additive to and inherently strengthens existing systems-level approaches such as MTSS.
  5. Learner-centered education is fundamentally adaptive and outcomes-focused (rather than technical and process-focused).

All of the approaches we name above recognize the same problem. The current industrial model for teaching and learning was designed based on an assembly line metaphor, expecting students to move through school in the same amount of time with more or less the same amount of support regardless of where they enter, unique challenges they may be facing, or strengths they may bring.

Within this rigid system, educators have sought ways to differentiate support. Over time, some of the techniques educators developed to provide each student the support they need have been built upon to create school and systems-level approaches. Tiered systems of support and intervention such as Response to Intervention (RtI) and Positive Behavioral Interventions and Supports (PBIS) were developed to introduce achievable levels of differentiated support (e.g. 3 tiers) within the constraints of the industrial paradigm.

  • Response to Intervention is a multi-tier approach and framework for instruction that screens all students for learning needs, and then provides progressive levels of intervention to students on an as needed basis. Interventions scale-up in the level of intensity such as supplemental instruction within the large group (typically Tier 1), targeted small group instruction (Tier 2), and individualized, intensive instruction aimed at skill deficits (Tier 3), though tier definitions and strategies differ by school. In practice, RtI models may call for individualized interventions (problem-solving models) or preselected interventions (standard protocol models). The three essential components are tired instruction and intervention, ongoing student assessment, and family involvement. RtI originated from the goal of proactively identifying and providing special education interventions to students before they fall too far behind.
  • Positive Behavioral Interventions and Supports is also a three-tier approach and framework but focused on student behavior and social-emotional development. The goal of PBIS is to proactively promote positive behavior. Similar to RtI, PBIS typically scales interventions starting with universal and proactive routines and support provided to the full classroom or school (Tier 1), then targeted behavior support (Tier 2), and lastly individualized, intensive support (Tier 3).

Recent innovations with tiered systems of support by organizations such as Turnaround for Children expand these models to include an understanding of trauma and adversity as well as taking into account how to adjust for hybrid and remote learning options.

These systems were developed based on a recognition that all students are capable of reaching similar outcomes, but require different amounts of time and support to get there. They were helpful steps towards providing each student with different amounts of time, support, and attention based on their needs. They have positively impacted tens of thousands of students in achieving desired standards however this often comes at the cost of removing students from their peers and narrowing the curriculum and will continue in such a manner as long as the traditional paradigm exists.

At the same time that these methodologies proliferated for differentiating and targeting support by pulling students out, complementary methodologies were developed for designing learning in a way that was flexible enough to meet the needs of learners with different motivations, interests, (dis)abilities, and needs. One example is Universal Design for Learning (UDL). UDL is an approach and framework for designing instruction and learning environments that are accessible to all students.

UDL emphasizes providing flexibility in how students access content (e.g., visual, audio, hands-on) engage with it, and demonstrate knowledge or mastery. The goal is to remove barriers to learning. UDL is rooted in the premise that while accommodations and flexibility are necessary to ensure learning accessibility for some individuals, they in fact benefit all individuals (sometimes in unforeseen ways) and therefore should always be in play.

More recently, attempts have been made to create overarching systems that build on and integrate these into an overall coherent framework for systems change. One example that has gained widespread interest and adoption is Multi-Tiered System of Support (MTSS). MTSS is a framework for meeting the academic, social, and emotional needs of students. It builds upon and may include data-driven, tiered intervention strategies such as RtI and PBIS as part of the approach.

However whereas RtI primarily focuses on academic learning and PBIS focuses on behavior and social/emotional development, MTSS aims to bring a more comprehensive lens and integrated approach to meeting the needs of learners. Moreover, MTSS is often described as a system-level approach with implications for aligned leadership, resource allocation, professional development and more.

This now brings us to the term that is at the center of our inquiry: learner-centered education. Like MTSS, learner-centered education has been growing in popularity. Learner-centered attempts to define an alternative to the industrial-era education model itself. The graphic below, borrowed from Education Reimagined, makes this clear.

Learner-centered education is about a paradigm shift, not a specific intervention methodology. It pushes education leaders to critically consider the purpose of school and to re-envision how the complete education ecosystem prepares students for the future. Learner-centered education demands that we move away from the traditional industrial model towards a transformative one that designs learning in response to the diverse needs of students.

This future-oriented paradigm requires a new set of student outcomes and aligned success metrics as part of its vision, whereas most of the above can function within the traditional set of outcome metrics. Lastly, learner-centered education goes beyond schools as the unit of change. Instead, it looks at the needs and goals of the individual learner and macroscopically at opportunities for learning within an education ecosystem.

Read More……

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Source: Why Learner-Centered Education is the Key to Meaningful School Improvement | Getting Smart

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Day-Trading Cryptocurrency a Conjunction of Strategy and Execution

According to the latest report we have, there are about 51 million active crypto traders worldwide. This is an absolutely staggering figure, which amounts to about 0.6% of the worldwide population! For context, there are about 25 million software developers worldwide.

We couldn’t help but think: how many of those 51 million people deploy any sort of strategies in their trading? The answer is, on the balance of probabilities, not many. Which means a lot of people would benefit tremendously from educating themselves about trading strategies and finding what works best for them or maybe picking up a good cryptocurrency trading course.

In this article, we’re going to dwell upon some of the entry-level, yet undervalued crypto day-trading strategies and show why your trade execution and adherence to rules, in most cases, matter even more than the strategy itself.

What are the most undervalued cryptocurrency trading strategies?

You’ve probably done quite a bit of research into what trading strategies are typically deployed when day-trading cryptocurrencies. And thus, you probably know that there are a LOT of strategies out there. Needless to say, most of them are outright useless. So, what parameters should you apply when selecting the right strategy? Well, one thing is for sure: do not overcomplicate. Simplicity is key, and the simpler your strategy, the easier it would be to master (provided it works, of course).

Simple Moving Averages

Here’s an example of a common SMA strategy:

Timeframe: 4H

Moving Averages: 200, 12 and 26-period Exponential Moving Averages (EMA).

Whenever the price is below the 200-EMA, you should trade with a bearish bias (only take short-side trades), and vice-versa.

Whenever the 12-period EMA crosses below a 26-period EMA, this generates a sell signal and you should sell (or cover an existing long position). When the 12-period EMA crosses the 26-period EMA, you should buy (or cover an existing short position). It is also considered good practice to place your stop-loss below a previous low.

This strategy is a great, simple indicator of convergence and divergence between medium-term momentum and the short-term momentum, showing you when the price is accelerating in either direction, up- or downside.

An example of how this could be successfully executed is shown on a screenshot below:

A Confluence of RSI and MACD

The two most-used indicators – Relative Strength Index (RSI for short) and the Moving Average Convergence-Divergence indicator (MACD) can be proven very efficient when used together.

But in order to do so efficiently, you have to understand exactly how they work. Let’s see how each of them is calculated.

“RSI is computed with a two-part calculation that starts with the following formula:

The average gain or loss used in the calculation is the average percentage gain or losses during a look-back period. The formula uses positive values for the average losses” (Source: Investopedia).

For the second step, we need at least 14 data-points. Once we have them, we calculate the RSI and plot that along the price-action chart.

“MACD is calculated by subtracting the long-term EMA (26 periods) from the short-term EMA (12 periods)” (Source: Investopedia).

Thus, the MACD has three elements: the 12 and 26-period exponential moving averages, and the arithmetical difference between the two.

Both the RSI and the MACD are oscillators, meaning that both indicators calculate their values based on the price.

These indicators are best used when they complement each other. Meaning, if you have a confluence – both indicators are giving the same signal, either to buy or to sell, then you act on it; otherwise – you don’t.

A basic example would be:

On a 4-hour time-frame chart, when the MACD is producing a bullish signal (the 12-period EMA crosses the 26-period EMA to the upside), you execute a buy order. The trick here is to make sure that the RSI is complementing the MACD: if the price-action is not overbought (RSI is below 70), then you can execute the buy order. If the RSI is >70, this would mean the price-action is overbought and the indicators are conflicting with each other. And vice-versa: if the MACD is showing a sell signal, but the RSI is oversold (<30), you should not follow this sell signal.

Example:

On the example above, we can see how a trader has entered a trade when the MACD gave a bullish signal, placing the stop-loss under the previous low, and the RSI was not in the overbought territory. Once the RSI crossed 70, the trader exited their position and secured a safe, winning trade. You can also simply reduce risk (close part of the position) once the RSI hits 70.

Dollar-Cost Averaging

This one, being the only long-term strategy on the list, is probably the simplest as well. Basically, you just buy a fixed amount (or sell short, but be careful with that) of what you think are the most promising cryptocurrencies over set periods of time, averaging down (or up, if it’s short) their buy-in price.

The strategy has two distinct advantages: you don’t have to worry about the day-to-day price action since you’re buying for the long term, and it’s not as demoralizing if the market goes down – because then you just improve your average buy-in price.

A good example would be buying bitcoin once a week during the first quarter of 2019 when the price was consolidating between $3.3k and $4.3k. If you were actively trading during that period of time, chances are you’d get eviscerated as the price action was extremely choppy. However, if you DCA‘d, you’d be ripping the rewards just three months later, when the price hit $13k.

Why Execution Matters Just as Much as Having the Right Strategy

Probably by far the most overlooked aspect of trading out there: adhering to your game-plan. While it is detrimental to have an actually working, well-backtested strategy to trade with, it is just as important to always remember that you have to actually play by the rules set in the said strategy.

Many traders suffer from emotional trading, a phenomenon known in the trading community to be the most challenging aspect of trading. This includes things like:

  • Chasing your losers – widening your pre-determined stop-losses to “give the trade more breathing room”
  • Using excessive leverage when being on a losing streak
  • Executing trades before the actual signals are triggered by the indicators you’re using
  • Cutting the winning trades too early

Experienced traders will tell you that the right execution of trades is what comprises most of your P&L. Thus, setting clear rules, adhering to them and constantly checking whether you need to improve your execution is key to the successful deployment of any strategy.

So, what are the questions you should ask yourself when deciding whether you’ve executed well? Here’s a list:

  • Did I execute that trade because my strategy told me to do so, or was there an emotional element to it?
  • If you’re on a losing streak, try to see whether you’re just trying to “get rich quick”, instead of entering and exiting a trade in a systematic way
  • Are you accounting for slippage and trading fees when setting your stop-losses?
  • Are you using the right leverage?
  • Are you overtrading? Even if you’re a day-trader, making 5-10 trades per day is probably too much and you will get destroyed by trade fees
  • Are you proactive when analysing the trades and polishing your strategy? Avoid making the same mistake and thinking that “it was a good trade” in hindsight. If a pattern looks good on paper but fails in action – consider stopping using it

Also, it is a good practice to use a trading journal – novice traders who start making notes about their trades to conduct periodic analysis very often report improved results.

Last but not least, make sure you’re using the right trading software. That’s where GoodCrypto really shines – it is probably the best trading platform for cryptocurrency on mobile devices, allowing you to access 20+ exchanges, set custom alerts, take advantage of advanced order-types available on all supported exchanges and use custom alerts!

Source: https://goodcrypto.app

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