Design and Implementation of a Programming Automatic Assessment System in Jupyter Notebook

HakNeung Go, Seong-Won Kim, Youngjun Lee


Learning programming is challenging. So, computer educators have developed various tools to help students. In this paper, we have developed a tool that combines the advantages of a Programming Automatic Assessment (PAA) system and Jupyter Notebook (JN) to support learning programming. The design direction of this system is free to use, easy to set up, and supports interactive computing. The Programming Automatic Assessment in Jupyter Notebook (PAAinJN) is available free of charge using the assessment module released on Git and the personal JN. The initialization is completed by executing in a code cell with two lines of code that downloads and executes the assessment module. In an interactive computing environment, presenting problems, writing code to be evaluated, and evaluating code can be executed in the code cells, and the problems and the results of the assessment are presented in the code cell outputs. The performance was verified by the examples presented in a high school informatics textbook using the programming automatic assessment system as teaching learning material. In addition, we propose a way to develop teaching-learning materials using PAAinJN in consideration of teachers and students and a way of distributing and collecting teaching-learning materials using the free Learning Management System. PAAinJN is expected to help students learn programming by eliminating assessment and feedback delays through PAA while learning to program in an interactive computing environment.


Automatic assessment system; Jupyter notebook; interactive computing; Python

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