Learning methods play an important role and receive special attentions in our life. We live in digital era, where everyone wants something efficient, effective, dynamic, fast and interactive. The term ‘interactive’ appears in two distinct strands of educational research discourse: one concerning pedagogy and the other concerning new technologies in education. Teaching students with traditional method where there is only one way of communication is no longer effective. The word interactive is the key to have an effective and efficient teaching and learning process where the teacher can grab students’ attention and students can learn more in comparison to that of the traditional method.

Nowadays, teaching and learning process are changes drastically. Everything changes to be more digitalized and simpler. The way teacher addressing the materials, the way the student record the materials from the teacher, the way to communicate between teachers and parents, has changed. How will the education institutions support the changes if they do not have a proper IT system? How will they have a proper IT system that aligns with their vision and mission and to support their business or even to have an IT system that become a business enabler? What they need is IT blueprint, before they start implementing the system. With IT blueprint, everything will be covered and designed based on school's vision and mission.

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was declared a pandemic by the World Health Organization (WHO) in January 2020. Many studies found that some specific age groups of people have a higher risk of contracting the disease. The gold standard test for the disease is a condition-specific test based on Reverse-Transcriptase Polymerase Chain Reaction (RT-PCR). We have previously shown that the results of a standard suite of non-specific blood tests can be used to indicate the presence of a COVID-19 infection with a high likelihood. We continue our research in this area with a study of the connection between the patients' routine blood test results and their age. Predicting a person's age from blood chemistry is not new in health science. Most often, such results are used to detect the signs of diseases associated with aging and develop new medications. The experiment described here shows that the XGBoost algorithm can be used to predict the patients' age from their routine blood tests. The performance evaluation is very satisfactory, with R 2 > 0.80 and a normalized RMSE below 0.1.