Modern times go hand in hand with the technology – every day we meet a lot of
new modern smart gadgets. Consequentially, the need for IT experts is enormous.
To meet the needs of the market, it is necessary to educate competent professionals.
Increase in number of students majoring in electrical and computing sciences,
as well as software and IT engineering confirm that the interest for making it in
the IT sector is extremely big. Rise in number of students created a problem related to the evaluation of knowledge.
Tests, written and oral exams, homework assignments and projects are
organized in order to check student’s knowledge. Every one of these needs to be
revised – teaching staff are met with an exponentially growing amount of work
and time spent to finish the job of evaluating students correctly and objectively
in the given timeframe. Teachers are under more stress, so the risk of an error
is bigger as well. To solve this problem, minimize it and overcome it better, it’s
been worked on a proof of concept (semi) automated software that would be
used for revising student work. The goal is to create a tool that would be fairly
easy to use and efficient enough in solving given problem. At this point in time,
we are implementing the concept of a web application (SpringExtractor) which
will automate (partially in the beginning, and in later versions fully) the process
of revising and evaluating student work. In this research, following concepts will
be explained: motives and essential concepts of technologies planned for the
realization, architectural organization, as well as potential points of expansion
and improvement for the initially planned functionalities of the software.
A. Vasiljević, S. Popov, “Springextractor Application for Work Review Automation,” in Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2021, pp. 259-263. doi:10.15308/Sinteza-2021-259-263
Vasiljević, A., Popov, S. (2021). Springextractor Application for Work Review Automation. Paper presented at Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2021-259-263