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Intelligent On-line Exam Management and Evaluation System

Part of the Lecture Notes in Computer Science book series (LNPSE,volume 11528)


Educational assessment plays a central role in the teaching-learning process as a tool for evaluating students’ knowledge of the concepts associated with the learning objectives. The evaluation and scoring of essay answers is a process, besides being costly in terms of time spent by teachers, what may lead to inequities due to the difficulty in applying the same evaluation criteria to all answers. In this work, we present a system for online essay exam evaluation and scoring which is composed of different modules and helps teachers in creating, evaluating and giving textual feedbacks on essay exam solutions provided by students. The system automatically scores essays, semantically, using pair-wise approach. Using the system, the teacher can also give an unlimited number of textual feedbacks by selecting a phrase, a sentence or a paragraph on a given student’s essay. We performed a survey to assess the usability of the system with regard to the time saved during grading, an overall level of satisfaction, fairness in grading and simplification of essay evaluation. Around 80% of the users responded that the system helps them to grade essays more fairly and easily.


  • Automatic essay evaluation
  • Automatic feedback
  • Intelligent tutoring
  • Learning assessment

J. P. Esclamado—Independent Researcher

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  • DOI: 10.1007/978-3-030-22244-4_14
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    The developed system is not intended to serve as a learning management system (e.g. Moodle) but, rather, as an e-Testing framework. However, we have implemented this ability to upload course materials for teachers not using any other system.

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Correspondence to Tsegaye Misikir Tashu .

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Tashu, T.M., Esclamado, J.P., Horvath, T. (2019). Intelligent On-line Exam Management and Evaluation System. In: Coy, A., Hayashi, Y., Chang, M. (eds) Intelligent Tutoring Systems. ITS 2019. Lecture Notes in Computer Science(), vol 11528. Springer, Cham.

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  • Print ISBN: 978-3-030-22243-7

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