Abstract
With the advent of computer technology researchers had been trying to combine artificial intelligence with test systems to analyze the answering pattern of students and come up with an effective program to test their learning capabilities. But the conventional systems conduct exams based on a predefined set of questions and give a score without any analysis. This system does not efficiently capture the proficiency of the students. To tackle this problem an intelligent and adaptive test system to assess the knowledge level and proficiency of the students was introduced. Our system demonstrates how machine learning, the past test data and the answering pattern of the test taker can be used to analyze his proficiency and provide a detailed report about the test.
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© 2016 Springer Science+Business Media Singapore
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Tommy, R., Amala, N., Ram, S., Kumar, B., Jose, H. (2016). Intelligent and Adaptive Test System. In: Kim, K., Joukov, N. (eds) Information Science and Applications (ICISA) 2016. Lecture Notes in Electrical Engineering, vol 376. Springer, Singapore. https://doi.org/10.1007/978-981-10-0557-2_85
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DOI: https://doi.org/10.1007/978-981-10-0557-2_85
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