The education industry has long been thought of as an offline industry, but the same change that has been felt and seen in other industries is now being felt and seen in education. The education system is shifting from focusing on product to process, expanding beyond domain knowledge to include self-regulation, collaboration, and motivation (Roll & Wylie, 2016). The industry has changed toward online platforms for learning, teaching, research, academic cooperation and partnerships, and much more in the past year. Online education offers cutting-edge teaching methods, curricula, learning approaches, and the freedom to accelerate.
The demand for online education has led to the birth of many prominent tech startups providing services for students and educators. To make online education more attractive, affordable, and convenient, these tech companies have introduced many digital solutions. These have made the overall experience of learning more engaging and fun for students by utilizing the technologies like Artificial Intelligence & Machine Learning, UI/UX, VR/AR, Blockchain Technology, and Robotic Process Automation. Artificial intelligence has been a prominent technology used in many fields, including but not limited to computer science, mathematics, psychology, biology, and neuroscience.
"According to the 2019 Gartner CIO Survey, 37% of companies have implemented some type of AI, representing a huge 270% increase over the past four years."
Not to mention Artificial Intelligence (AI) is transforming the eLearning industry in several ways. AI is being used to develop new types of eLearning content, such as simulations and virtual reality experiences. These new types of content can provide a more immersive and engaging learning experience for students. AI is changing the eLearning industry. It has been used to create personalized learning experiences, provide real-time feedback and assessment, and improve the overall quality of online education.
With AI, eLearning courses can be customized to the needs of each learner. AI can analyze a student's performance data and identify areas that need improvement.
This information can then be used to create customized lesson plans and activities that are tailored to the student's specific needs. (The Vocational Balanced Scorecard: What is it and how can it be implemented? 2019)
AI is being used to develop new online assessment tools that are more reliable and accurate than traditional methods. These tools can provide instant feedback to students on their progress and help identify areas where they need additional support. Using AI, educators can now create customized assessments that can adapt to the individual needs of each student. This allows for a more personalized learning experience and can help students progress more quickly. Additionally, AI can help online educators to understand the learning process better and identify areas where students need more support.
Moreover, using AI to automate some of the tasks involved in online education can make it more efficient and effective. In higher education, AI is being used to create virtual assistants that can help students with their studies, and professional degree programs are using AI to develop online programs tailored to working adults' needs. AI is also being used to create new professional degree programs that are more flexible and accessible than traditional programs, making professional degrees more accessible and affordable (Gruson et al., 2019).
AI in education began with computers and computer-related technologies and eventually evolved into web-based and online education platforms. Embedded systems have enabled the usage of robots as teacher companions or independent instructors in the form of co-bots or humanoid robots and chatbots to fulfill teacher or instructor-like duties. These platforms and technologies have permitted or increased teacher effectiveness and efficiency, resulting in richer or higher educational quality. Overall, AI has had a significant influence on education, notably in the fields of administration, instruction, and learning within the education system or inside individual learning institutions.
Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582–599. https://doi.org/10.1007/s40593-016-0110-3
The Vocational Balanced Scorecard: What is it and how can it be implemented? (2019). European Conference on Management, Leadership, and Governance. https://doi.org/10.34190/mlg.19.033
Machine learning: Trends, Perspectives, and prospects. (n.d.). Retrieved May 24, 2022, from https://www.science.org/doi/10.1126/science.aaa8415
Gartner survey2019. Retrieved May 24, 2022, from https://www.gartner.com/en/newsroom/press-releases/2019-01-21
Prashant Priyadarshi is an experienced Senior Faculty and R&D enthusiast with a demonstrated history of working in the education management industry. Skilled in Product Design and Development, Innovation, Business Ideas, and Professional Mentoring, Prashant has over ten years of blended experience in both Industry-Academic support. His knowledge extends to the areas of Artificial Intelligence, Machine Learning, IoT and Analytics. Prashant has a Post Graduate Diploma, Dual Master's, and Bachelor's of Technology in Electrical, Electronics, and Computer Engineering from the University of Mumbai. He is engaged in delivering technical training on Data Analytics supported by the latest technology to students and corporate aspirants.
Scottish Qualifications Authority, UK
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