A rule-based self-learning model for automatic evaluation and grading of C++ programs

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Abstract

A procedural and formulated evaluation of the practical work or task performed by a student, irrespective of the procedure or method incorporated by him, has always been a challenging job, as perceived by many researchers and practical program evaluators since long [1–3, 5]. So there always has been a continuous process of improvisations in different techniques to properly judge and evaluate the tasks performed by students [5, 6]. Also the time required to solve the trivial and re-occurring common errors, during the initial phase of the student learning of new concepts, leads to more time consumption and hence needs to be reduced. Thus, the model that can evaluate, grade and inform the work accomplished by the student against the actual requirement can smoothen the learning curve and ease the job of the evaluator always comes handy.

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Christian, M. (2018). A rule-based self-learning model for automatic evaluation and grading of C++ programs. In Lecture Notes in Networks and Systems (Vol. 9, pp. 469–474). Springer. https://doi.org/10.1007/978-981-10-3932-4_49

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