The recent phenomenal amounts of investments made towards incorporating AI in education and other sectors, undoubtedly indicate the major demand for AI Assessments. Countries like China and Singapore are already taking a major leap in implementing Artificial Intelligence into their education system. And it is only a matter of time that this trend will be practiced on a mass-level.
To develop a vast repertoire of intelligent human behavior and cognitive thinking, tech scientists constantly explore the length and breadth of AI technology. And it goes without saying that AI-driven, teacher-oriented software and assessments could be a real game-changer in the online education landscape.
With all the much-needed catch-up happening just after the pandemic, it requires innovative approaches to AI models and analytics to transform the education industry for the years to come. We need more and more agile methods and resilient AI-enabled technology models that can ensure the academic growth of future generations.
Is it a Dystopian Future where Machines Revolt against Humans?
However, one must not anticipate that Artificial Intelligence is going to replace the conventional teacher in a classroom. Rather, it is all about strengthening their position and boost their efficiency to the next level. It is never the man vs. the machine, it is always the man with the machine.
All the recent research points towards the fact that, by the end of 2021, AI in education will grow up to 47.5%. In 2019 alone, the global AI education industry reached $1.1 billion. And by 2030, this growth is projected to rise to a whopping $25.7 billion.
Why such massive and rapid growth in the usage of Artificial Intelligence for education? Because AI-based e-Learning techniques improve the students’ learning experience the most.
And that’s the reason why academic institutions are so keen on embracing AI-based assessments for their students.
The Mutual Collaboration between AI, ML, and Traditional Teachers/Academic Faculties
While it is of constant debate amongst parents and psychologists, about how much screen-time is good for their children, AI and ML have truly altered what education was imparted earlier.
Especially before the COVID-19 pandemic, none of us could ever imagine the mass-scale adoption of eLearning tools. Students are now absolutely savvy on taking their tests and showcasing their science projects, through Smartphones and laptops. And hence, AI-dominated assessments are the need of the hour.
The mutual collaboration between teachers and Artificial Intelligence, or I must say, traditional/manual learning and Machine Learning, have opened the path for efficiency, personalization, and streamlining of admin tasks. They also foster quick-understanding among students facilitating the best outcomes.
The AI Dominance!
So is there any chance of AI and ML-dominance over academia as a whole and accelerate the analytical transformation of the said sector? Well, the answer lies in the present scenarios.
We have already seen the boom in using robotics in the medical sectors. Especially when it comes to maintaining a contact-less treatment. In a recent experiment, almost 90% of patients agreed that they are quite satisfied with their experience with the Boston Dynamics robot. Further developments are underway for the wider implementation of robots in the medical industry.
As it is evident, chatbots have taken the driver-seat in most of our eCommerce and online experience. So, it can be safely said that the pandemic has opened up newer opportunities for AI engineers to make the students future-ready.
Now, if someone asks how AIcan help in assessing a student’s capability and efficiency, the answer is pretty enlightening. Artificial Intelligence plays a major role in several psychometric assessments, ranging from real-time chatbot conversation with candidates, to their logical reasoning ability. And these are mostly algorithm-based decisions.
AI Implementation for Talent Acquisition
The usage of AI in pre-hire assessments and talent acquisitions has ramped up in recent years, embellishing the HR workforce. And if we talk about academic tests and assessments, thanks to the significant advancement in AI and ML, these technologies have brought great convenience to the entire education system.
Gone are the days when bias inclination, favoritism, and undue advantages involved the assessment processes. With AI, things have become transparent, accurate, as well as less time-consuming. With the help of technology, teachers and faculties can now provide constructive feedback to the students, while assessing their capabilities in the most flawless and effective way.
At the same time, much of the tedious workload of teachers get reduced with the implementation of an automated grading/scoring system.
The Implicit Liaison of Artificial Intelligence & Data Visualization
Now, there have been automation for all kinds of logical reasoning, MCQs, and fill in the gap tests, which is undoubtedly a more precise process of evaluating a student. So, if all these factors are considered, it is quite true that AI-driven assessments, or rather the incorporation of AI into the global education system, have been vital for Gen Z.
Most importantly, the analytics from the assessment software are interpreted into informative data visualizations that help to understand the learning approach of the students. These data visualization analytics further help in shaping their future.
Simply put, AI assessment in educational assessment can be perfectly used to assess unlimited students and their skills, their collaborative mindset, confidence, persistence, and many more traits that are not quite possible to judge in a 2 hours pen and paper test.
Emotion/Mental State Analysis- Analytics based on AI
Now, as we see further advancements in AI technology, the more it gets sophisticated, 10 years from now, it might even be possible for a machine to read a student’s mind and evaluate him/her.
The AI-powered machine/tool can simply analyze the expressions of a student and tell that he/she is in need of a lesson modification. Or the individual is struggling to understand a particular chapter in the syllabus.
That will help the faculty team to come up with tweaks in their teaching process, as well as customize the students’ curriculum. This may sound crazy or non-feasible now. But it is not very far. Artificial Intelligence for education and training will be adopted on a mass-scale soon enough. At least that’s what the stats say.
AI-Based Tools for Pre-Hire Procedures
Already, we have pre-hiring evaluation software that are expert in analyzing a candidate’s mental state, through emotion detection. In some more years from now, this particular technology would be a norm in every academic institution and learning house.
For example, just as we witness in most AI-driven talent assessments these days, where the advanced software work wonders. Numerous candidates are assessed remotely in one go, from different locations, time-zones, across multiple tech stacks, with multiple AI assessment questionnaires. All these enable the HR/recruiter to assess the skills of each of the candidates with 100% accuracy and agility. And thus make an informed decision.
The kind of bottlenecks that were faced by corporate organizations, regarding hiring the best talent– has been eased and made more efficient with the implementation of AI-based automation.
The Future… A Flexible, Accessible & Scalable Education Framework
The future opens up for an integrated education ecosystem, where students can always be on. They can access anything they want from a single cloud unit, from their choiceable platform and OS. This kind of extensive and flexible learning infrastructure gives a user-friendly experience, facilitating a better learning process.
By subsiding the manual grading process, teachers will get more time to allot on each student, conduct interactive lessons, motivating the class. All these are even more critical in the current scenario, where students are forced to take online classes.
Such tools and technologies are projected to strengthen the role of teachers, the people we need to outwit the futuristic robots. It all depends upon how is AI used in education primarily aimed towards the students.
AI application in learning programs is much helpful in engaging the students and bring in their potential, who otherwise struggled at home to learn the basics of Algebra or Trigonometry. And this is how is AI changing the world of education. This particular sector has been comparatively slower in adopting AI in its techniques; but honestly, it is just a matter of time. The changes have already begun and will continue in the years beyond.
And that being the reason, we can see more of the dominance of Artificial Intelligence, Deep Learning, Machine Learning, NLP, and AR-VR in the next-gen learning structure. And if you ever need a reliable, advanced, online assessment tool, then we are just an email away!