AI-powered upskilling is an area some people are exploring. However, before embracing AI-driven learning pathways, it is crucial to know the kind of opportunities one can expect, the range of skills you can acquire, how you can leverage them and, most importantly, gain clarity around the possible challenges.
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AI in e-learning reshaping the skill acquisition process
Vinay Konanur, Vice President-Emerging Technology, UNext, an edtech platform, says that with the increased incorporation of AI in e-learning, we now have mechanisms like adaptive learning to analyse the strengths and weaknesses of individuals and consistently modify learning styles. This further helps to ensure minimal frustration and increased engagement.
Next, he points out that AI has also enabled microlearning which assists in breaking complex concepts into small modules for easier assimilation of information. Besides, its ability to curate case studies and resources depending on users’ goals can build customised learning paths.
AI-infused e-learning revolutionises education by tailoring learning experiences to individual preferences and styles, says Bhavesh Goswami, Founder and CEO, CloudThat, a learning and consultancy organisation. Like Konanur, he also believes that this approach not only optimises skill acquisition but also provides a comprehensive, data-driven insight into each learner’s strengths and areas for improvement.
Elaborating on the way AI is refining the learning and skill acquisition process, Raghav Gupta, Managing Director-India and APAC, Coursera, an ed-tech platform, calls AI as both an enabler and disruptor. In his opinion, when harnessed ethically and effectively, it has the potential to transform the learning experience, making it more personalised, interactive, and impactful.
“At Coursera, AI has allowed us to break down the language barrier by translating over 4,000 courses into 18 languages, including Hindi, making high-quality learning more accessible. Our generative AI-powered virtual tutor, Coursera Coach, grounded in expert content, is offering personalised assistance and feedback, adapting to different languages and educational levels. Such AI-led transformations are levelling the playing field, granting millions in India access to in-demand skills and ushering in a new era of inclusive learning,” he adds.
Emergence of new roles because of AI’s integration
With every new technology comes the hope of new job opportunities, and AI is no different. Integration of AI in every other field, ranging from education to corporate, has not only reformed existing roles but has also opened doors for new areas.
Talking about the rise of such new roles in the e-learning industry, Konanur says learning specialists, learning data analysts, AI-driven content developers, and ethical specialists are some of the positions grabbing a lot of attention. AI ethics officers, AI-powered customer support specialists, AI trainers and NLP engineers are the roles gaining prominence in various sectors.
The evolving landscape of AI has birthed roles in the field of education such as learning experience architects and data-driven educators, placing early career professionals at the forefront of innovative methodologies, says Goswami. In his opinion, proficiency in understanding algorithms and interpreting educational data is crucial in this dynamic professional environment.
Skills of tomorrow that AI-powered learning encourages
Konanur says prompt engineering is one of the best skills to add to your skill sets. He says that understanding the fundamentals of prompt engineering can help you smartly structure your questions and get precision responses from generative AI models. Goswami opines that the impact of AI-powered upskilling extends beyond specific job roles. It fosters essential skills like data fluency, critical thinking, and complex problem-solving. These competencies empower individuals not only to navigate the AI era but to thrive in it, further cultivating a workforce that is not just adaptive but truly visionary.
“Beyond AI and tech skills like data analysis and software development that are in demand among employers and employees, we also see an enduring need for human skills like communication, problem-solving, computer literacy, and management,” says Gupta of Coursera.
Be wary of these few ethical challenges of AI-led learning
Shedding light on the ethical risks associated with pursuing AI-powered learning and upskilling, Konanur says concerns such as data privacy issues, explainability or automation are tangible and can be fixed. What one should really worry about is the problem of innate bias. He says when an AI model is trained on biased datasheets, it reflects poorly in the results. Learners might encounter such instances especially when AI curates case studies and assessment questions.
Amid this era of rapid advancement, Goswami says ethical considerations must take centerstage. Hence, it is imperative to prioritise data privacy, address algorithmic biases, and establish accountability in AI-driven learning to ensure a safe learning environment for the individuals. Besides, leaders must advocate for a conscientious approach, leveraging AI’s potential ethically and inclusively, he adds.