Three ways tech can help build a growth mindset culture

But, in reality, this is easier said than done. Recent studies reveal that while many employees are willing to learn to boost their future employability, few feel they are given the time or opportunity to do so. In fact, most knowledge workers are only able to carve out five minutes of formal learning every day. This lack of consistent learning comes at a cost to organisations, as increased innovation, enhanced productivity and accelerated digital transformation are often lost, whilst skills gaps continue to widen. So how can tech help overcome this hurdle? Here are a few of my thoughts:

1. Use the right tech tools to facilitate ‘learning by osmosis’

• 70 per cent of workers learn from experience gained on the job
• 20 per cent learn from work relationships, including coaching and mentoring
• And as little as 10 per cent learn from formal courses

The WEF’s Future of Jobs 2020 report also states that 94 per cent of business leaders now expect employees to learn on the job, as opposed to formal training. In other words, it’s not enough to provide a few online courses – leaders must encourage social learning or learning by osmosis – which presents even more challenges in an increasingly remote world of work. But this is where technology can help. Internet-of-Things enabled tools are an established solution, where connected devices continue to reshape both professional environments and educational settings. Tools like Google Classroom, Facebook Workplace, FocusMate and PukkaTeam are essentially providing virtual coworking spaces to facilitate effective collaboration and brainstorming sessions, for example. They are a great way to mimic day-to-day learning experiences. VR, or ‘v-learning’ is another tool which is growing in popularity in this space. It can create virtual learning environments that allow delivery of training and development programmes in a more immersive way, helping people learn from their interactions with their classmates. A PwC study on the use of VR in soft skills training found that learners trained in VR were 275 per cent more confident to act on what they learned after training, which was a 40 per cent improvement over similar classroom training and a 35 per cent improvement over e-learning methods.

2. Provide accessible online training

In order to tackle some of the challenges that come with building a growth mindset, namely the need for employees to self-motivate and really own their own learning, we need to rethink the way we enable them to learn. Above all else, learning in the new era of work needs to be accessible. Mobile learning and micro-learning technologies are useful tools here as they bring the classroom into our everyday lives, wherever we are, helping people to learn on-the-go and find time to access educational resources. Micro-learning delivers short bursts of content for people to study at their convenience. This is a particularly useful method to help employees with little time (or short attention spans) access educational resources in a quick and easy manner. There are many different micro-learning formats - videos, infographics, simulations and podcasts are all digestible formats, for example. There are also plenty of EdTech solutions out there. Riff from Esme Learning, for example, is a cloud-based video and text chat platform, whereby a personal digital coach guides individuals through assessments in real time. How FM is another option, targeting blue-collar workers and the deskless workforce with multi-lingual online training and educational resources. At Hays, we have also launched a free online training portal designed to help employers and teams grow the skills they need to function effectively and flourish in the face of the pandemic. I expect many similar online resources to be available in the coming months, whereby your internal IT teams and external EdTech providers will enable your remote learning initiatives. You don’t just need to limit yourself to third-party EdTech providers either. Some businesses are partnering with academic institutions to build relationships and publicise career opportunities with students. IBM, for example, partners with a public high school in New York to provide IT training for students, and Rackspace recently opened an Open Cloud Academy, which offers training courses and official IT certification.

3. Use automation to personalise your online tools

Machine learning algorithms can predict learning outcomes for the individual, allowing you to provide specific educational content based on a person’s specific goals and past performance. This approach enhances the user experience, providing people with the right resources at the right time, helping to boost engagement and results. Quizlet, for example, is an online studying tool that lets users create digital quizzes and flashcards to aid learning. It leverages its machine learning to discover how students can learn more effectively by prioritising terms that people are most likely to forget. AI can also provide a more responsive learning environment, whereby marks and feedback are given in near real-time. Cognii provides an AI-powered virtual learning assistant, which uses machine learning to individualise learning and expedite the feedback process. Virtual assistants are another option to help you direct learners and help them access the right resources. EdTech company Edmentum, for example, built a virtual assistant to help teachers master its new education platforms, quickly. The company also uses automation to customise its online curriculums to meet the different educational requirements for each US state that it operates in.

Going forward, we will both learn about and from technology

Author

Jacky Carter
Customer Experience Director, APAC, Hays

With more than 30 years of experience in the staffing industry, Jacky’s expertise spans many aspects of Hays’ business including operations, marketing, RPO and technology. Her unique and invaluable remit is to make sense of emerging trends and technology in the HR and broader world, identifying, evaluating and implementing the tools that enable Hays to power the future world of work.