Student Performance Monitor: A Big Data Analytical Application Tanzila Tahsin Mayabee, Sadia Khan, Armun Alam, Samsul Amin, Jannat Khair Chowdhury, Muhammad Talha Hassan, Sabrina Alam, and Mahady Hasan Independent University, Bangladesh {1820750, 1831231, 1810281, 1710393, 1830105, 1830698, sabrina.alam, and mahady}@iub.edu.bd Abstract. The use of artifcial intelligence and big data analytics is lim- ited in developing countries, and even more so is the use of it in education sectors. As students and instructors everywhere become more and more reliant on online learning, developing countries like Bangladesh must also follow suit. While we may not be able to transfer a student’s entire edu- cational experience from the classroom to the Internet, we can certainly take steps to use the data we already store to create efective monitoring systems such as Student Performance Monitor (SPM) that can inform students about their strengths and weaknesses, and guide them in the right direction. The big data analytics software can be used for outcome- based education (OBE) system which is an educational theory that sets each part of the education system around outcomes or goals. Keywords: Big Data, Data Analytics, Artifcial Intelligence, Outcome-Based Education, Monitoring System, Education Sectors 1 Introduction Technological improvements witnessed in the past few decades have been far greater than all of human achievements combined. With the advent of the in- ternet, communications and access to information have improved drastically. In- formation is now inexpensive and more readily available. As we enter the fourth industrial revolution, technologies such as internet of things (IoT), robotics, vir- tual reality (VR) and artifcial intelligence (AI) are becoming a part of everyday life. With such technologies, the importance and availability of data are skyrock- eting, making data analysis more relevant than ever. We now have the luxury of collecting and maintaining these data to their fullest potential. As we stepped into the 21st century, the data storage methods are available at a greater capacity at a lesser cost. Therefore, the next big challenge is to look beyond our past objectives and enhance the aforementioned technologies. Although the goal of artifcial intelligence is to replicate human intelligence, there are certain abilities of human intelligence (including cognitive, physical,