AI and Personalised Learning: What You Need to Know About Artificial Intelligence If You Work in Education
Artificial intelligence (AI) has been on everyone’s lips recently. It seems that these days, every organisation craves the implementation of this technology. But is AI indeed powerful enough to alter our reality beyond recognition? How will it influence the educational realm? And should educational institutions follow the trend of AI implementation?
First, let’s delve into what AI is and how it functions and then explore its wide range of use cases and benefits.
What AI Is and How It Works
These days, computers outperform professional chess players, swiftly discover proofs for mathematical theorems, and predict stock exchange rates more accurately than the wolves of Wall Street. AI accomplishes all of this and much more!
How AI Transforms Different Industries
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AI is now integrated into everyday life across various fields, from virtual assistants in smartphones to smart homes and self-driving vehicles. The positive transformations AI brings to different industries cannot be overlooked.
The application of AI and ML has the potential to completely transform the healthcare, medicine, and life sciences sectors. For instance, AI is revolutionising the way various diseases are diagnosed.
An exemplary company leveraging AI to assist pathologists in diagnosing diseases, such as cancer, is PathAI. Their AI system identifies patterns in tissue samples that might be overlooked by the human eye, leading to earlier and more accurate cancer diagnosis. PathAI’s AI platform is highly sophisticated to ensure the correct identification of cancer, which carries significant implications for patient care.
When integrated with complementary technologies like robotics and blockchain, AI revolutionises various aspects of the healthcare industry, including:
- Early disease predictions and diagnostics
- Enhancing the understanding of diseases
- Streamlining drug discovery
- Advancing medical research
- Enabling more personalised medicine and patient care
- Optimising healthcare expenses and more.
The AI in healthcare market was valued at USD 15.4 billion in 2022 and is projected to grow at a CAGR of 37.5% from 2023 to 2030.
The opportunities for AI applications in the technological sphere are boundless. Take, for example, Deep Blue, IBM’s ML-trained chess program, which harnesses rich data analysis capabilities to scrutinise all possible moves during a game, drawing from the best games of the past. This AI-enabled the program to select the optimal moves, eventually defeating the world chess champion, Garry Kasparov.
The global AI market reached USD 69.25 billion in 2022 and is projected to reach approximately USD 1,871 billion by 2032, with a remarkable CAGR of 39.1%. AI is poised to usher in even more opportunities for technology and new business models.
In the IT sector, AI and ML are actively employed in different areas, including:
- Software quality assurance
- Data analysis
- Predicting market trends and customer behaviour, especially using social media data
- Defect analysis
- Assessing the efficiency of business processes and more.
You’ve likely encountered AI’s influence in the media sphere if you’ve enjoyed content on Netflix or any other streaming service. These platforms employ AI for precise content recommendations based on user preferences. This ensures that viewers receive shows and movies aligned with their tastes while helping streaming services reduce content spending significantly, thereby boosting audience engagement and subscription rates.
The global AI in the media and entertainment market achieved a substantial valuation of USD 10.9 billion in 2021. This thriving sector is poised for remarkable expansion, with a projected CAGR of 26.9% expected from 2022 through 2030.
The media industry has harnessed this technology in multiple ways, such as:
- Automated journalism
- Editing and proofreading books
- Assisting in the pre-production of movies
- Classifying and categorising content
- Personalising content recommendations
- Enhancing user engagement, and more.
Artificial Intelligence (AI) in Education
While it is reasonably clear how AI can be applied in highly technological industries like IT and healthcare, there is a question about the potential role of artificial intelligence (AI) in education. Teachers primarily oversee tasks such as observing children’s behaviour, tracking their progress, and selecting the most effective teaching strategies—responsibilities that AI is unlikely to master as proficiently as humans, which directly impacts the quality of educational experiences.
However, AI can alleviate teachers’ burdens by handling repetitive administrative tasks, thereby allowing them more room for creativity and focusing on students’ individual needs. Unsurprisingly, the global AI in Education market was valued at USD 5,435.06 million in 2021 and is expected to grow at a CAGR of 36.14% during the forecast period, reaching USD 34,597.13 million by 2027.
AI holds tremendous potential in various educational aspects, particularly in enhancing educational equity and access throughout the learning journey. Let’s examine the major ones.
Integrating intelligent tutoring systems, adaptive learning platforms, and AI can assist teachers in customising learning programs for each student, personalising the pace, assignment types, and even learning content according to individual student needs and preferences.
In this way, teachers will:
- Effectively adapt programs to individual learning styles and the needs of students.
- Collect and analyse data on how students interact with educational materials and complete exercises and assessments.
- Recommend additional study materials based on each student’s interests and requirements.
Ultimately, this approach to personalised learning empowers students to excel in their studies.
Automated Grading and Assessment
With the assistance of AI and intelligent tutoring systems, teachers can enhance their grading methods and provide personalised feedback to students, resulting in improved learning outcomes. For instance, AI-powered assessment tools like Gradescope can process students’ assignments, categorise them, and assign grades.
This can reduce the time spent on assessment and grading by 70% or more, freeing teachers to focus on creative and academic pursuits. Additionally, it contributes to the efficiency of personalised learning experiences.
AI proves useful for handling repetitive administrative and school management tasks, including:
- Processing student enrollments
- Creating timetables
- Managing tuition or monthly fees
- Maintaining student records, and more.
For instance, the Department for Education in the United Kingdom has adopted an AI-powered system developed by Capgemini to streamline digital correspondence. Robotic process automation has enabled them to expedite email responses significantly.
AI applications can be valuable for classroom management tasks, including:
- Tracking attendance
- Monitoring student engagement
- Disseminating important updates to students and more.
For instance, at the Georgia Institute of Technology, AI-powered adaptive learning platforms were employed as a teaching assistant for a course with 300 students, successfully handling approximately 10,000 student inquiries each semester with an impressive 97% accuracy rate.
Virtual Reality (VR) and Augmented Reality (AR) in Education
Integrating VR and AR in education revolutionises the learning experience by immersing students in tailored virtual environments and enhancing interactions in real time. Educators can adjust content and interactivity to accommodate individual learning styles, fostering engagement and personalisation.
This has the potential to assist teachers in achieving various improvements in the learning process, for example:
- Personalised immersion to cater to students’ diverse learning needs.
- Effective development of practical skills, as VR and AR simulations bridge the gap between theory and practice.
- Promoting inclusivity by making education accessible to all.
Incorporating virtual reality (VR) and augmented reality (AR) in education, along with adaptive learning systems, promises ongoing advancements, complementing the transformative impact of AI in education.
With the assistance of AI, educational institutions have a higher chance of making teacher recruitment more efficient and less time-consuming. AI-powered tools can help you by:
- Sifting through large volumes of applications to identify candidates who match the job criteria best.
- Analysing a wide range of factors, such as teaching experience, qualifications, and compatibility with the institution’s culture and values, ensuring a better fit.
- Minimising unconscious biases, promoting a fairer and more diverse recruitment process.
- Predicting a candidate’s potential for success and longevity in the role based on historical data and trends.
- Automating and personalising communication with candidates, keeping them informed and engaged throughout the recruitment process.
- Analysing responses, providing insights, and even suggesting relevant questions for interviews.
- Streamlining the onboarding process, making it faster and more effective.
- Enhancing employer branding to attract top talent.
AI can also enhance the student enrolment process, significantly reducing the administrative burden and making the process more efficient. This includes:
- Handling large volumes of applications, ensuring prompt and timely responses.
- Analysing various factors like extracurricular activities and personal statements, providing a more comprehensive assessment of each applicant.
- Utilising historical data to predict student success and their compatibility with the institution, helping to form a well-rounded student community.
- Tailoring communications with applicants, offering them relevant information and support, and enhancing their initial experience with the institution.
|AI technologies can also help you enhance your marketing efforts, attracting more highly relevant potential students and teaching candidates.
soccialy provides an innovative AI-powered platform that assists schools in targeting high-quality passive candidates. This approach reduces the overall cost per application, shortens the time to hire or enrolment, and broadens the pool of diverse candidates. Moreover, our platform delivers data-driven insights into market trends, candidate preferences, and the effectiveness of different recruitment strategies.
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A Glimpse into the Future: Emerging AI Trends
AI is actively permeating numerous industries, enhancing business processes and enabling them to operate more intelligently. However, is this the ultimate extent of its potential? Certainly not! AI will undoubtedly continue to evolve, making the future capabilities of AI applications limitless.
Advanced Automation and Analytics
The future of AI in business indicates a shift towards advanced automation of repetitive and mundane tasks, alongside identifying and resolving knowledge gaps. Furthermore, this technology will offer predictive and strategic insights to inform decision-making. The most significant impact of AI applications is expected to be in data-intensive and highly regulated industries, including banking, finance, insurance, healthcare, as well as educational equity and access.
AI-powered technologies, such as computer vision and natural language processing (NLP), which includes speech and text recognition, enable businesses, including those in education technology (EdTech), to automate tasks that were previously performed by human workers.
This enhances efficiency and reduces operational costs. AI introduces new dimensions to advanced automation through robotic and intelligent process automation (RPA and IPA).
AI is driving workforce transformation across industries by revolutionising administrative processes. It empowers organisations to personalise experiences, harnessing data for tailored interventions. Administrative tasks, from workflow to cost management and recruiting, become more efficient and unbiased through AI automation. Institutions embracing AI enhance their agility, better meet their stakeholders’ needs, and prepare for an AI-driven job market, fostering a dynamic and future-ready workforce.
The transformative impact of AI and adaptive learning technology is reshaping the future of learning significantly.
AI-driven learning technologies are increasingly prevalent in education, bolstering personalised learning paths and aiding educators in enhancing their teaching approaches. By 2025, it’s expected that 47% of learning management tools will feature AI capabilities, thanks to the growing integration of education technology (EdTech).
Key changes in the educational sector include adopting AI-driven adaptive learning technology, personalised feedback platforms, automation in student enrolment, streamlined teacher recruitment processes, and engaging methods like gamification, Virtual Reality (VR), and Augmented Reality (AR).
As AI technologies and big data and analytics in education continue to proliferate rapidly, educational institutions and other organisations must ensure they are prepared to embrace these innovations and provide the necessary upskilling for their staff.
For schools and colleges, one of the simplest ways to begin incorporating AI is by integrating it into their recruitment processes. An excellent starting point could be soccialy, an innovative AI-powered platform that elevates social media recruitment to the next level.
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What Is Adaptive Learning?
Adaptive learning is an innovative approach to education where technology creates a personalised learning environment for each student. It harnesses data and advanced algorithms to dynamically adjust the content, pacing, and assessments to optimise learning outcomes and create a more effective learning experience.
What Is an Adaptive Learning Platform?
An adaptive learning platform is a sophisticated digital system that leverages learning analytics and artificial intelligence to craft a highly individualised educational journey. It’s akin to having an intelligent mentor who continuously adapts the course material and resources based on each student’s progress. The platform ensures course attendees achieve better results by providing an adaptive learning experience.
How Does Adaptive Learning Work?
Adaptive learning operates by constantly evaluating a student’s knowledge level and fine-tuning educational content in real-time. It utilises complex data analysis and AI algorithms to identify strengths and weaknesses. Then, it tailors lessons, quizzes, and learning materials to cater specifically to the students’ unique needs. This approach optimises the overall educational experience, making it highly effective and shaping the future of learning we are stepping into.
What Are the Benefits of Adaptive Learning?
Adaptive learning delivers numerous advantages, including personalised instruction that caters to your learning style and creates a completely personalised learning experience. It significantly enhances learning strategies, boosting engagement and allowing for more efficient use of study time. It empowers students to progress at their own pace, filling in knowledge gaps and improving information retention. Moreover, it provides educators with invaluable insights into each student’s progress, enabling them to provide more targeted support.