Educational institutes are temples of knowledge, beacons of hope and a gateway to an enriching life sparked by knowledge, learning and healthy interactions. A grim reality of educational institutes however, is the fact that we are more often than not thrown into the deep end of the pool called competition. Grading, performance and the drive to produce stellar results form a treadmill of nerve-racking expectations which lead students to flog themselves courtesy their parents, wards and teachers and stay at par with whatever is considered to be acceptable deliverables. This truism continues even beyond one’s education in the corporate world which is another track for the never ending rat race.
This blog does not serve to debate the incumbent situation with regards to our education system. There might be another day and another post for that. The need of the hour is the presence of systems that help in the betterment of a student’s performance through a holistic assessment of his or her strengths and shortcomings. It’s easy to berate a student for the want of adequate performance. However, it is a challenge to pin point what is wrong with his or her approach. Simply chiding a student for his or her performance will not lead to improved performances. The demerits have to be pointed out in a fruitful and an actionable manner to catch his or her attention and enforce the drive in them to iron out their flaws and excel in their academics.
With the advent of smart data management tools and for behavioral analysis, it is crucial to establish such systems to ascertain the well being of students to ensure top quality performance from them. Learning management systems and student information systems have shown early promise in streamlining academic procedures and make more meaning out of students’ performances during the course of their studies. Could they be also deployed to check for anomalies in student behavior which may be detrimental for their academic performance? Perhaps they could serve up early traits of regressive conditions such as dyslexia, attention deficit disorder (ADD), attention deficit hyperactivity disorder (ADHD) and depression among others. This looks like a moonshot for such systems. However, LMS’ and SIS’ do stake claims to analyze and evaluate learner behavior which includes checking for predispositions of students to learn things in a particular way, approaches to organizing an presenting information. These traits could be summarized and presented to parents, teachers and students with recommendations for further action. Medical apps can also be integrated to connect with psychiatrists for immediate help.
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