Exam Subjects Generation During COVID-19 Pandemics for FCPL Discipline

Autor:	Ciprian-Bogdan Chirila, Oana-Sorina Chirila
Rok vydání:	2021
Předmět:	2019-20 coronavirus outbreak Coronavirus disease 2019 (COVID-19) Computer science Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Pandemic ComputingMilieux_COMPUTERSANDEDUCATION Mathematics education Subject (documents) Impossibility TUTOR computer computer.programming_language
Zdroj:	SACI
DOI:	10.1109/saci51354.2021.9465580
Popis:	Exams in pandemic suffer from the impossibility of the tutor to properly supervise the students. All the exams are given online where students have lots of inspiration sources. As an effect, the student grades increased allowing them higher scholarships that normally would not get and other social inequities. To stop these phenomena one way is to create different exam subjects for each student and to give students a limited amount of time to solve them. This kind of approach is tedious and it is not feasible when the student cohort is large. One solution is to abstract subject templates from the concrete subject and then use generator programs based on random numbers to instantiate exam subjects for each student.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::12e0a8452683ad6459177d9b6b0535bd https://doi.org/10.1109/saci51354.2021.9465580 Zobrazit plný text záznamu