Artificial Intelligence – An opportunity to define new paradigm of Education Before Turing Test A rtificial intelligence is a branch of computer science that deals with the study
Artificial Intelligence – An opportunity to define new paradigm of Education
Before Turing Test
rtificial intelligence is a branch of computer science that deals with the study, design, development, and testing of intelligent behavior in machines as well as computer systems. Contrary to popular notion, humanity’s tryst with machines that display intelligent behavior predates the arrival of personal computers by more than a few centuries. Before the onset of the digital age powered by embedded systems and electronic circuits, in fact, as many as 300 years before Alan Turing proposed the Turing Test (1950) to arrive at a measure for machine intelligence, Blaise Pascal invented the mechanical calculator as early as 1642 to help his father with monetary calculations. The story of intelligence as a man-made and societal concept becomes more abstract the further one goes back in to the history of mankind.
With the rise of machines
With the proliferation of embedded systems and devices, powered by rapid advancements in allied disciplines like material sciences, electrical and electronics engineering, software engineering and so on, the keyword machine intelligence or AI has assumed pole position in almost all conversations related to technology, engineering, the future of business and commerce, as well as the future of mankind. Once the mainstay of a privileged few in the military circles, Artificial Intelligence is now a part of domestic conversations in the living room, or at the beach party or the annual company town hall.
With the AI wave riding in to every sphere of activity, it became pertinent for educators and those in the profession of education to consider the use cases for an AI-led transformation to address the emerging needs of a young, impatient, and dynamic category of micro-learners who believe in learning on the go, through hackathons, challenges, and competitions. A plethora of solutions emerged with various degrees of ‘automation’ built-in in the form of automated testing platforms that are simplistic on the backend – driven by comparison of a given input with a model output – to generate on the spot results with in-depth reports from analyses that offer a potential candidate a holistic view of their strengths and weaknesses.
Onset of True AI
Current AI use cases are largely limited to automation of mundane tasks that could be performed by an administrator. However, the limitations are only a function of our collective imagination. Before we immerse ourselves in to the exciting range of possibilities to be unlocked by a true AI, we have ample possibilities in the refinement of education through implementing some of the advanced techniques in information architecture, for example, by the implementation of a Recommender System that learns and evolves while filtering and displaying the content that is most relevant to the learning curve of a student.
Current efforts in AI-led transformation have been restricted to automation of grading, automatic evaluation of training content based on user interaction (repeated instances of wrong inputs within a specific topic or lesson), in addition to scalable and enterprise-grade data warehousing at institutions like schools, colleges, etc. that can serve as data points for business-grade dashboards.
Another application of AI at scale is the feature of real-time captioning that has been found helpful by numerous non-native speakers of the English language who can now tune in to video tutorials at any time, from any where and follow along at their own pace.
It will be a while before Robots will find an entry in to the human-centered classroom, however it is not the destination, but the journey that matters, because in the process of developing machines that can display human behavior, man will discover the true nature of himself.