New Trends in APAC's Educational Technology Arena

The digitisation of human interactions with technology has been sped up for many years because of COVID-19. There is a chance for technical advancement in education because of the sharp decline in the use of digital gadgets.

FREMONT, CA: The COVID-19 pandemic, regardless of industries or sectors, has been the primary force behind digital transformation, affecting vast organisations and small businesses. Due to their technology investment, they could adapt quickly. Similarly, learning and development (L&D) executives must pay close attention to the developments in instructional technology. Technology's cutting-edge capabilities enable talents to emerge amid the crisis.

There are thousands of them, but when it comes to shifts in employee reskilling and upskilling, the following are the key technological trends expected to influence the professional environment in 2022 and beyond.

Animation

Animation is first-choice technology. The cartoon industry has a long history of using animation. However, animation's promise extends beyond simple amusement. Animation is increasingly being used in e-learning, which is unquestionably advantageous. Animation can increase learners' engagement and information retention with compelling storytelling and pertinent content that simulates real-world situations. Recently, animation has expanded beyond learning applications to include training in the L&D division.

The ability to visualise actual workplace scenarios is what distinguishes animation from other training techniques. Training movies incorporating sound, vision, and motion will involve more senses and inspire employees rather than drowning trainees for at least several days in text-based training resources. The following are some advantages of training films using animation:

Training videos that associate knowledge with a particular image help employees remember what they've learned over time since the brain responds to visual stimuli more strongly than text. Research shows a significant correlation between good visuals and 65 per cent higher knowledge retention.

Employees can access training materials anytime with just a smartphone, some time, and any place. Training videos offer much-needed flexibility for our modern way of life.

Costs for corporate training can be decreased by using videos. Businesses can reach a big audience with information dissemination in just a few clicks. This is a lifesaver for huge international companies. Using training videos lowers instructor fees and other training costs. There won't be a need to book locations, travel, or reserve space for outside coworking.

Considering the benefits mentioned earlier and looking ahead to 2022, it makes sense. It is urgent to add animation to current training programs to stay competitive in the business environment.

Artificial intelligence (AI)

AI is another important one. The first aspect of futuristic technology is AI. It is observed that AI is reshaping several commercial industries and improving quality of life by developing intelligent machines that carry out human functions with the aid of in-depth computer science. AI is a significant factor in several industries, including mobility, education, industry, and medicine. Today, AI is helping L&D professionals train their personnel in more ways than they could have ever anticipated. Including To create learning routes that will enhance the learning experience, L&D professionals may apply artificial intelligence.

Predictive analytics can help organisations provide more logical learning materials that are sensitive to the needs of their audience.

AI could operate as a virtual instructor, simulating a newcomer and experienced practitioner interaction. AI will engage in conversations that sound human-like and are pertinent to its natural language processing (NLP) abilities. Additionally, it increases their work output and hastens the achievement of business goals.

The main functions of AI in employee training include learning progress tracking and course customisation to fit individual demands, which ultimately improves the learning effectiveness of staff. Data can be gathered from factors like the typical module implementation time, preferred learning styles, and more.