How Artificial Intelligence Will Impact Employee Training At Workplace

With digital revolution, the world has become more mobile, tech-savvy and automated. For those who thrive innovation at workplace, this has been a huge transformation from the days gone by. In the future, organizations will connect in an online environment, where personalization is enabled, collaboration is enhanced and data sharing is automated. Consequently, workplaces will use Artificial Intelligence (AI) to bridge skill gaps and improve knowledge competency. The adoption of online Learning Management Software (LMS) has a huge impact on workplace training, employee efficiency and productivity.

                 

Optimization of Technology

Adoption of virtual assistance is rising with time, with 85% workforce experiencing its use in their real life. However, 75% use it for professional purposes, suggesting that there are ample opportunities to do more to embed this technology with training courses. Virtual assistants help boosting employee productivity, innovation and job satisfaction. Basically, organization personnel are highly responsive tousing Artificial Intelligence (AI) at the workplace. Modern learners want to learn at their own pace, while on the go or from remote locations at the point of need. With majority of the workforce spending hours each day in face-to-face meetings, potential benefits of latest technologies have become significant.

Using Bots is the Latest Trend

Today’s new age learners have started using bots to replace human tasks. Around 62% of workforce using voice commands with virtual assistants have replaced the use of keyboards in workplace. The pace at which technology is becoming common supports the use of bots for varied purposes including:

•        Receiving conference calls
•        Taking notes from a meeting
•        Using facial recognition feature to sign up for meetings

AI addresses daunting challenges faced by trainers as well as employees. It helps revamping learning opportunities and improve collaboration between humans and machines. Organizations are adapting the AI approach to leverage the new criteria of success, redefined by information sharing, problem-solving and experimentation.

Organizations that want to excel in their domain need to build upon  latest technologies in new ways. Improved growth and job satisfaction are the two outcomes that businesses expect from AI. Not only workforce, but there are increasing number of trainers who introduce automated solutions to take the next step to improve overall business value. Such benefits develop a strong case for investment in creating new jobs as well as making existing jobs better. With an effective workforce development strategy and intelligent business model, latest workforce challenges faced by enterprises today can be solved with ease.

Suggested Further Reading: 
https://www.cisco.com/c/dam/en/us/solutions/collateral/collaboration/morar-advanc-techn-white-paper.pdf

Exploring The Four Significant Elements Of Custom E-Learning

Customized e-learning is recognized as an efficient strategy to improve learners’ business growth by catering to individual learning needs. Unlike traditional classrooms, learners access courses at their own pace and set targets to reach maximum potential. It is crucial to analyze how success looks like in a personalized learning environment. With the increasing trend of using custom learning in different industries, educators need to consider what a successful implementation of effective and engaging learning entails.

To ensure that custom e-learning approach is lucrative, four key elements have been designed to support it. Leveraging these elements allows organizations to understand the training requirements of employees and adopt strategies that help boosting their knowledge competency. Let us discuss about these elements in detail:

► Flexible content

Developing flexible content includes a blend of different types of materials which are adaptive and tailored. In personalized learning programs, adaptive courses offer ample opportunities to address challenges and customized content gives trainers an opportunity to curate original content, providing a robust platform for learners to enhance their skills and knowledge.

► Customized instruction 

Due to the varied learning needs, traditional classroom approach does not ensure that every learner could attain success. Custom instruction helps breaking down information into small nuggets which are easier to understand and remember for a long time. Rather than following one specific curriculum, target instruction helps educators deliver courses at the point of need. Consequently, it helps learners collaborate more with peers as well as trainers with common learning needs.

► Data-driven decisions

Trainers evaluate the performance of learners via offline as well as online sources such as digital tools and interactive apps. Data teams meet to analyze complete employee data and then take decisions about their personalized learning needs. Timely review of data provides a plethora of opportunities for learners to reflect their efforts for enhanced learner achievement.

► Learner ownership 

One of the most significant aspect of personalized learning is that it allows employees to take the ownership for their own style of learning. It results in several benefits such as self-paced learning, learner engagement & retention, target-setting and long-term learning goals. With an ability to track the goals, learners develop more advanced skills including task prioritization and scheduling.

A shift to custom e-learning is not an easy task. It is learner-oriented education which primarily focuses upon the background, requirements and learner potential of the workforce. To personalize your learning experience, the behavior, knowledge and approaches to be learnt are presented to learners in such a way that they are able to fulfil their learning needs per their convenience.