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Virtual Classrooms TÜV Rheinland Academy

Virtual Classrooms are the future.

Virtual classrooms have been around for a long time, but since Corona, they have become even more popular. Providers of further education like TÜV Rheinland Academy digitalized their regular seminar offer within a short time and modified the training methods and didactics. Aim is to use the digital technology effectively for the benefit of all learning types with Virtual Classrooms (VC).

Training in seminar rooms is only possible with a hygiene concept until a vaccine is discovered. The “physical distancing” is valid indefinitely. However, further occupational training must not be allowed to fall by the wayside. For companies and their employees, there are excellent opportunities, especially now. As long as many companies are still in short-time work, the time can be used to extend the Corona-related learning curves. In times of low workload, investments in the qualification of employees are worthwhile.

Because by building up competence, employers and employees strengthen their competitiveness for the future of work. Furthermore, anyone taking part in further training in a Virtual Classroom from their home office or via mobile device today enjoys a lively learning world with interaction and fun, including simultaneous monitoring of learning success.

From e-Learning to Virtual Classrooms

Concepts and technical solutions for lively, interactive formats of corporate knowledge transfer have been around since the 90s. Synchronous learning media have been part of professional training from the very beginning. Those who spoke of e-learning usually had web-based training in mind. Limiting factors were often the technical infrastructure or the lack of bandwidth. Interaction between participants and trainers took place via chats or telephone conferences.

To support the participants even better in designing their learning environment and learning progress, educational institutions and universities developed Virtual Classrooms, which take place synchronously and live in class. All trainers, moderators, and participants are connected live via webcam and headsets. This opens up educational and methodological possibilities that are almost equal to those of real seminars.

In addition to the traditional whiteboard lecture by a trainer, participants can exchange views in open discussions followed by an online participant survey. This happens in a video conference, which also gets a new liveliness through chats.

Participants can also make their contributions, give speeches, and record presentations or videos from their computers. In addition to this, working groups can be formed; asynchronous newsgroups complement the exchange within the framework of digital learning, which has the great advantage of being able to combine an entire toolset for synchronous and asynchronous learning processes (Blended Learning).

Different types of learners require adapted learning strategies

Because people’s learning behavior is different, some have a short attention span and are easily distracted, which was a particular challenge in the home office during the Corona pandemic and still is in some instances. Some need fixed structures; others prefer to divide up the learning material themselves. In all situations, some form of social interaction is desirable to revive the joy of learning and learning progress. The recurring challenge for education providers and competence partners is to meet all these needs within the framework of digital learning – especially in times of Corona.

Immediate feedback for trainers and participants

Good trainers use the knowledge of the learning types in their courses to adapt their educational modules to these optimally. Impulse presentations of thirty or more minutes, which were common in the past, are divided up into several smaller ones. These can be varied with videos, group work, and flash surveys to involve the participants in the further course of the seminar unit. All in all, the lessons are more interactive, multimedia-based, and sometimes also with playful elements.
Trainers use short one-on-one conversations to check individual learning statuses. In this way, they receive immediate feedback, for example, to close gaps in knowledge early on by repeating the lessons. And even performance assessments can now be carried out in a legally compliant manner using appropriate tools with clear identification.

Conclusion: Digital and conventional training will complement each other even more closely in the future

Even if the practical skills still have to be trained in the future, as in the case of welder training, the necessary theoretical knowledge can certainly be taught in a Virtual Classroom  – possibly supplemented by innovative digital approaches, such as a virtual reality scenario. This allows smaller groups to use available practical training places alternately. In any case, the trainers from TÜV Rheinland Academy have shown during the Corona shutdown that they are also able to convey previously conventional offerings successfully from their seminar portfolio in Virtual Classrooms.

Above all, feedback from participants also shows that they experienced a lively learning world with interaction and fun. One participant put it in a nutshell: “For two days, I took part in an online seminar at TÜV Rheinland. The tutor was professional, serious, and responsible. Instead of seemingly boring terms and lessons, I experienced enthusiastic explanations that stay in my mind. To every question, the trainer responded in time and with a smile and gave professional answers. And she also asked questions so that we could interact well. The three-day Virtual Classroom has awakened my enthusiasm to continue learning online. ”

Here you can find the current online offer of TÜV Rheinland Academy from Virtual Classrooms to e-learnings by simply choosing your country.

 

Competence Management TÜV Rheinland Academy

 

FutureofWork_TÜVRheinlandAcademy

The Future of Work 2030: The Machine Thinks, the Human Steers

When it comes to the future of work, the Institute for the Future (IFTF) in Palo Alto, California is convinced: “There will be a new partnership between people and machines that increases productivity. Human intelligence cannot be replaced. On the contrary, the work of the future will require new skills from employees.

The potential for future collaboration between humans and artificial intelligence (AI), robots, mobile end devices for augmented reality and blockchain can already be seen in the existing basic technologies. For the IFTF, this collaboration at the workplace already begins with recruiting. They predict that the partnership of personnel with AI will allow more equitable selection processes to select candidates according to their skills and not according to gender, age or other biographical characteristics. The algorithms would also replace all too human prejudices in the composition of teams with a clear analysis of the machine, which puts together optimal teams from a variety of skills and personal characteristics. This leads to an increase in work productivity, a better working environment, and more intensive employee retention. As many as 67 percent of the managers surveyed by the IFTF can imagine using AI in the future to achieve more equal opportunities.

Enhanced skills through machines

If AI prevents hidden discrimination in personnel work, it will expand and supplement human skills in other contexts of work. For example, 70 percent of IFTF executives would like their employees to work with machines and robots to overcome their human limitations. At BMW’s mini-production facility in Oxford, for example, collaborative robots are already working together with people. Such CoBots are equipped with sensors so as not to injure their flesh and blood colleagues. However, colleague AI could also replace employees if they are not enabled to collaborate with AI. Especially for the use of AI for the analysis of large amounts of data, the employees also need the corresponding skills. In a 2019 study, Price Waterhouse Coopers asked 500 decision-makers which employee skills were relevant for AI use and to what extent. 81 percent felt that employees needed to understand the potential and limitations of AI. 80 percent each mentioned knowledge about secure and transparent AI as well as understanding and knowledge about data-driven business models. Few companies, however, have the correspondingly trained employees. For this reason, the introduction and successful use of AI will only succeed if companies simultaneously qualify their employees for the application. For the AI to be useful as a colleague in a team, it must be programmed with algorithms to suit the task and be equipped with the correctly formulated task to extract useful information from large amounts of data. This also makes it clear that human intelligence has to control what the AI then has to process.

Enhanced reality for more productivity in teams

This need for training will also be triggered by a third technology that has already made its breakthrough in the gaming sector. Augmented and mixed reality with data glasses or mobile devices will also become established at work in the future, for example in design and planning. 3D visualization in an augmented reality allows building plans to be displayed in a room in which entire teams are simultaneously working on a complex problem. According to experts, the technology has great potential to increase team productivity in development tasks. In the IFTF study, 86 percent of executives said that they were planning to use new technologies to improve employee productivity.

AI deployment will not be successful without human intelligence

Artificial intelligence will be irreplaceable in many “human” activities in the future: disease diagnosis, language translation, customer service, data analysis, production, design and maintenance. But the algorithms will be written by humans, who in turn will have to monitor the AI. To do this, they need skills that hardly any university teaches today. But without human intelligence, the use of AIs will not be successful. For this reason, companies must first make their employees fit for AI use.

Competence Management TÜV Rheinland Academy