By 2025, there will be 3.5 million STEM jobs available for the taking. But… there’s a catch. That is the vast talent gap in STEM, which may cause 2 million of these jobs to go unfilled.
“There are more STEM jobs today than there are applicants. [We aren’t] producing enough talent to fill these positions,” says the chief global talent officer at Kforce. Clearly, the need for STEM talent has never been more critical.
In our opinion, the best way to close this talent gap is to leverage AI in STEM learning. Let us explain way.
STEM: The gateway to innovation and success
Science, Technology, Engineering, Math – four words scrunched into one acronym that drives the world. STEM pedagogy needs a large amount of technology to streamline the learning process.
Across the world, technological and educational institutions have begun fusing AI into their systems to make STEM learning more immersive, impactful and simplified.
Several edtech companies are using AI-powered learning to provide interactive and adaptive learning solutions and scenario-based learning, covering subjects such as science and mathematics.
Why use AI in STEM?
In 2023, artificial intelligence is a major topic to be covered under STEM subjects. With the growth of generative AI engines and tools such as ChatGPT, AI development is an important subject for budding engineers and developers.
In addition, AI-powered learning is also extremely useful when it comes to teaching STEM subjects. Artificial intelligence can automate a lot of minor or administrative tasks, which significantly reduces the load on the trainer or admin staff. It also makes the learning content itself more streamlined and improves learning efficiency. Here’s a few benefits of using AI to streamline STEM learning.
Breaking down content to bite-sized lessons
STEM subjects can be complicated. Many learners find it difficult to absorb the entire material in one go. However, with AI support, topics can be easily broken down into self-contained lessons, each containing a single piece of information. For example, AI could be used to generate quizzes for STEM classes, pulling focused lessons or concepts that can be learned easily in a short period of time. This also ensures that students can test their knowledge every step of the way.
Automating personalization
AI can help produce STEM content that accommodates everyone, every learning style and level of ability. Educational chatbots, for example, can give students round-the-clock support with assignments. It can make STEM education more inclusive – for example, AI-supported speech recognition caters to students with mobility challenges and virtual simulations support STEM students who are visual learners by making abstract STEM concepts more tangible.
Making learning more fun
STEM subjects can be extremely numbers-oriented and analytical in nature, which may not be easy to absorb for all learners. These can be made fun using AI. An AI tool can be designed and implemented to prepare games, interactive tasks, robotics, and smart solutions to bolster creativity while cultivating essential problem-solving skills.
Supporting trainers as a teacher’s aid
In STEM subjects, assignments and pending activities can quickly add up for teachers. AI can be used for correct and timely feedback and assessments for students. AI-based adaptive learning is one of the most important ways that artificial intelligence can help trainers. Adaptive learning is especially useful for STEM subjects, since some students may need more practice than others to fully grasp these complex subjects.
Creating virtual laboratories
AI can help create virtual laboratories with simulations, branching scenarios and 24×7 monitored virtual experiments. This means that students from around the world can engage with the interactive AI-powered simulations, any time and without risk of injury or property damage. Based on different actions taken by the learner, the simulation adapts to deliver a different result. Scenario-based learning holds the students’ attention and reinforces concepts by visualizing abstract theories. It’s also possible to build in team-based experiments and collaborative exercises, creating a similar environment to that of a real STEM laboratory.
Whether you’re just starting your e-learning journey or looking for ways to enhance it with AI-powered learning, the team at Hornbill FX is equipped with in-house expertise every step of the way. Partner with Hornbill FX today to empower tomorrow’s innovators with AI-based STEM education solutions.