Tag: simulations

15 Sep 2023
Are VR simulations necessary?

Are VR simulations so necessary for training? 

AI has added a new scope and dimension to companies’ learning and development initiatives. The term technical training has acquired a new context with the development of AI. But chatbots are no longer adequate to answer the queries of the employees. Companies must develop and implement large language models (LLM) that can answer employees in real time. 

How does the AI function? 

A large language model functions with a transformer model, which reads and simplifies the text, and then the LLM produces the text in response to human questions. A transformer model was first invented in 2017 when this neural network structure-based model was used to convert one kind of input into another. This neural network was used to produce French from English. 

The companies can now use large language models that can browse the complicated company manuals with a transformer model so that employees can use them to search for information. They can analyze the company’s compliance database compared to chatbots, which only provide employees with basic information.

Let’s talk about VR simulations:

Although the Metaverse is the coolest thing to have hit the industry now, it’s not always the best answer. The first reason for criticizing this much-celebrated simulations-based technology is that employees are taken from work for a long time, which is not feasible in every industry.

Companies must make critical decisions like where to use the simulations based technology to get the best return.

The companies have to create a plan and then follow it to ensure that such technologies are not overused, leading to an excess budget. 

However, immersive learning is needed when it comes to learning technical skills for employees, like using heavy machinery. The employees can’t be trained on using such machines in person due to the cost of accidents. When AR/VR-based technologies are used, the solution happens in a simplified manner because the learners imbibe the exact manner in which a robot or machine has to be used during their work. 

In certain industries like manufacturing and healthcare, it’s the demand of the competition to use such technologies. 

Pros

  • Industrial demand: 

It’s the job of the L&D professionals to see that success equals prudence, too, and using technologies like augmented reality/virtual reality is well justified. It can only happen when they have done a thorough analysis to prove why such simulation-based technologies were the best solution possible in a certain situation.

They can also implement a small program to check whether the investment in AR/VR systems is necessary, and then scale up everything if necessary.

  • Better results: 

They can lead to lesser costs and lead to easier recall. In such a situation, making employees learn about surgeries through such technologies is the most effective way to create efficient surgeons of the future with the least possible training time. 

Cons 

  • Need for data collection: 

Implementing VR is another task, but collecting data after its execution is also equally important. This data helps the company analyze whether the learners are truly gaining anything from this implementation. If the learners find any problems with the simulation that they cannot fully engage in the experience, it is time to contact the vendor.

Who uses the VR experience to learn and cannot understand anything? All this data has to be collected by a company before implementing VR for training. 

Why is data collection necessary? 

The data needs to be collected according to the stakeholders who are responsible for making decisions about implementing this technology. xAPI is a brilliant way to capture all the data about a user’s movements during virtual reality technology, where his hands are positioned on the controllers. For example, when the learner is putting off fire in a simulation, how long does it take to do that?

Does he consider certain other factors before taking that decision, like how many people had to be evacuated before the fire was extinguished?

In this kind of simulation, did the learner consider the number of people in the room who had to be evacuated? If the fire could not be extinguished, the occupants had to be evacuated, but it was not the case when it was possible to douse the fire(Decision point). Also, it is important to set a milestone so that the time taken by the learner to extinguish the fire is measured(Milestone).

 So, when the learner’s time exceeds that milestone, he can’t be considered relevant for the job. All this data assortment is necessary for VR/AR to generate successful results in a company and be considered a useful training resource. Whether VR simulations actually lead to intended training results causing a better performance in the company, or does the performance between a simulation and real-life events differ? 

In every decision a learner takes, it’s important to evaluate the chain of events, like when a learner took a certain decision. He might have extinguished the fire when he saw people running, not when the smoke alarms started beeping. So, such a learner needs more training, depending on his slow reaction to the beeping smoke alarms. 

Midway:

Blended learning is a better approach than virtual reality training. It’s because a company needs to analyze data like learners who were trained before performed better in VR simulations. Was it necessary to distribute instructions to elicit a better response from learners? 

At Creativ Technologies, we provide 2D simulations for our clients so that they can provide unrestricted learning experiences to their employees. With the right integration of authoring tools and craftsmanship, our niche simulations have been used by clients all over the world for focused experiential learning.

30 Aug 2023
simulations

How has the creation of simulations evolved over the years?

The simulations are now being used for all kinds of eLearning in the corporate world.

Importance of simulations for banking training:

For example, simulations have been extremely useful in banks, where they can be used for explaining to the employees what can be the harmful effects of making wrong decisions.

They are taught how various situations can affect the balance sheet of a bank.

In such simulations, various factors become more understandable to banking employees like how they must cope with poor business conditions which happens when there is a recession in the economy and banks don’t get many lending opportunities.

When the banking employees see a change in numbers due to any alteration in regulatory conditions like a hike in interest rates, they learn how to adapt to such situations. Also, there can be problems when the central bank increases interest rates to curb inflation.

When the central banks increase interest rates, the cost of lending increases, and hence banks have to increase their own interest rates to earn profits. The interest rates are increased and banks have to convey to the borrower the reasons behind them to maintain their loyalty. It’s because their loans go for a toss in such situations and hence, they must know how their decisions influence assets and liabilities.

These and many more changes in external factors require intelligent decision-making by banking employees, and this skill gets enhanced through a simulator. The simulation shows how the assets and liabilities of a bank change as a consequence of the changes in such factors, and how to cope with such situations.

Simulations before 1980s:

A simulation showcases a business situation. When this happens, the businesses know how to leverage or emerge as a survivor in such a situation. They understand the challenges of a situation as a whole, rather than being absorbed in the complexities of the situation.

Now, due to authoring tools, creating simulations is not as tough as before.

The simulations were however initially not so popular. This was because there had been no advent of eLearning authoring tools. So, it was quite complicated to create simulations using programming and generating computer variables. The users could not be given simple variables for decision-making, due to which it was tough for them to understand and learn. Therefore, the users could not establish any relations between the variables chosen in decisions and their results. Consequently, the earlier simulations could not fulfil any kind of learning goals of clients. Hence, making simulations simple was required.

How were simulations created back then?

There was a need for creating graphic characters from scratch using design software and then creating body movements and gestures for them through Flash.

Apart from that, it was also required to use programming languages such as C++ and Java to showcase the behavior of the elements in such simulations after any option was chosen, like the user would see a pop-up on screen after he chose any option in a quiz.

Creation of Simulations after invention of authoring tools:

Firstly, the authoring tools have templates, elements, and characters designed for a specific business situation. Even gestures and facial expressions have been created to depict situations.

Therefore, the creators just need to drag and drop animated characters and other elements into templates to create situations. There is no coding required to create templates.

Benefits of using authoring tools for creating simulations:

  • No need for programming:

Moreover, programming is also not needed to create branching scenarios in such simulations. The eLearning authoring tools are already well-endowed with the triggers and the users just have to choose the options.

They contain triggers that are invoked as a user chooses a certain option in a pre-built quiz, and then the user is enlightened about his choice.  Therefore, the user can be presented with many options in terms of situations and quizzes.

  • Immediate feedback received:

Another advantage of these simulations is that since they can be produced so quickly, feedback can be sought immediately from the client. So, the procedure to produce these simulations is quite agile. Changes are made often, and the client does not have to wait for a certain time to offer feedback before the final results are shown to him. Different scenarios can be prepared, produced and altered till they satisfy a client in terms of end results.

  • Easier collaboration:

Since these authoring tools are hosted on cloud-based servers, the graphic designers can work alongside them with SMEs who can tell them whether a certain situation has been shown correctly. When they find anything wrong with a situation, they ask the graphic designers to correct it immediately.

27 Oct 2020
simulations

Simulations help employees learn

The corporate world has expanded to a significant extent. The processes change all the time. This implies corporate companies need to train their employees all the time, which can be cumbersome. The solution lies in making use of e-learning programs.

The eLearning has become quite effective over time. It’s interactive through games and hence motivates the learner.

To teach employees about the software which is in demand, simulations-based e-learning is in high demand.

Doing what we learn is an important part of the learning experience. For learning and doing the learners need to process all the information gained by them. The Kolb’s learning cycle can be categorized into 4 stages which are as follows:

  1. Doing or Concrete experience
  2. Reviewing or reflective observation
  3. Concluding or abstract conceptualisation
  4. Planning or active experimentation

So, through games in simulation, learners have a concrete experience as they watch the simulation. Then the reviewing or reflective observation part checks what they have learnt. So, this is how the whole cycle works.

The difference between e-learning and other forms of training is that in the latter learners don’t get to practice what they have learnt. So, its a waste of time making them go through heaps and heaps of data.

There are many kinds of simulations which are available for the corporate learners now.

  1. One-time Simulations: These kinds of simulations are used in courses that offer learning based on software. The users can also modify the responses they get in such forms of learning. So, they can learn the complex workings of software quite easily with such simulations.

Since such simulations are one-shot, the learners don’t need to watch them again and again. Most of the times, these simulations are about the software or a website. They can teach the learners how to go through a website for a defined purpose. An example of such a simulation is:

  • The user can learn a certain functionality like how to fill taxes through a website. (Concrete experience)
  • The user can then fill details in the website correctly to pay taxes, so this requires some action from him. (Reflective observation).
  1. Simulations with various outcomes: The learner can also be made to go through simulations which have interactions with different outcomes. The learner can choose any response in the interaction but they have to arrive at the right outcome.

In these kinds of simulations, the learners are shown a scenario for example, in which there is an altercation among individuals. So, the learners are given a situation and they have to choose the best possible outcome. So, no response is wrong, but different outcomes lead to different results and the learner gets to learn them.

He gets to know how to make decisions in real-life based on outcomes. For example, these interactions can be built for managers to see how they react in a real-world situation.

  1. Microworlds: There are virtual 3D worlds created for the user. The user has to get in touch with this 3D world. These kinds of simulations are very useful for those learners who have to be taught about real-world rather than new software.

So, this is how the simulations are the most effective ways to learn for today’s corporate learners who lack time and need brief action-based simulations.

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