An Overview of Computer Assisted Learning Systems in Computer Science
Mădălina Pană, Alin Zamfiroiu · Proceeding Papers · 2022
Having the pandemic restrictions applied almost worldwide (including Romania), the educational system was necessary to be changed, so all activities have moved online.The main objective of this paper is to highlight the importance of eLearning tools and propose two methods that can assist students during their educational process.Both methods are inspired by the Computer Assisted Learning System (CALs) literature, and they are based on the student's behaviour analysis and providing adaptability to it.The first component is an example of a Computer Adaptive Test System (CATs) which was built using the Item Response Theory (IRT) methodology and its scope is to help students to find what is their understanding level for a subject and to answer questions which are corresponding to their current learning progress.Furthermore, a lot of research suggests that testing your knowledge right before you start learning can improve your performance during the exam itself, more so than if you used the same time to read the subject.The second component that we propose is a users' recognition system which has the objective to identify if a student is cheating during an exam from the way he/she is typing.The key for this type of system is to define an algorithm that compares the keystroke dynamics.Overall, this study contributes to the scientific literature by revealing mechanisms for adapting to user behaviour and the positive effects that occur using this type of application.