A Machine Learning based Approach for Mapping Personality Traits and Perceived Stress Scale of Undergraduate Students

Abstract

This paper focuses on the personality traits of students and stress scale they had to face in undergraduate level. With the advancement of computer science and machine learning based applications, we have tried to inter-correlate the terms. In the area of computational psychology, it is important to understand participants' psychological behavior using personality traits and predict how he/she is going to react on a certain level of the stressed situation. For the experiment, we have collected data of around 150 participants. The personality traits data are collected using the standard survey named The Big Five Personality Test created by IPIP organization and stress scale measurements are collected using scale devised by Sheldon Cohen named as Perceived Stress Scale hosted by Mind garden. The data are taken from Bangladeshi computer science undergraduate students and kept anonymous. In this paper, we have applied nine different machine learning based classification models are built for mapping the traits with stress scales. For performance evaluation, we have utilized precision, recall, f1-score, and accuracy. From the experimental findings, we found that Sequential Minimal Optimization (SMO) and k-NN classifier gives the highest prediction accuracy which is approximately 70%.

Motivation’s impact on high-level high school students’ ability to balance academic and athletic stress

“…They found that extroverted people tend to get moderately stressed, while introverted people tend to have lower stress. In the data collection, they also found that 30 people responded with low stress, 18 with high stress, and 114 with moderate stress (18). There is a noticeable difference between university players in academics and those balancing both sports and academics.…”

“…Previous studies have focused on the impact of collegiate athletes in D1, D2, and D3 colleges, presenting that argument of the mental health and its impact on students (4). Gaston-Gayles conducted their studies by using motivation as a measurement to predict collegiate athletes' success in Manasvi Shah 1 , Alexis Anderson-Urriola 2 Journal of Emerging Investigators • www.emerginginvestigators.org https://doi.org/10.59720/23-133 (18,19). They found that extroverted people tend to get moderately stressed, while introverted people tend to have lower stress.…”

Comparative analysis of human adaptation to the growth of visual information in the tasks of recognizing formal symbols and meaningful images

“…Исследование того, как может меняться алгоритм решения однотипных задач при изменении сложности их исходных данных, имеет большое значение при разработке систем искусственного интеллекта. В работах этого направления, например в [Popov et al, 2010;Kant, 2012;Karamath Ali, Amalarethinam, 2013;Fischer, Plessow, 2015;Ajay, Singh, 2015;Tran, Le, 2015;Nandi et al, 2018;Marouf et al, 2019], важно не только научить машину решать некоторый класс задач, но и приблизить работу машины к способам решения аналогичных задач человеком. Для решения этой проблемы необходимо сочетать работы в области совершенствования технических систем с исследованиями в инженерной психологии.…”

Estimation of the probability of spontaneous synthesis of computational structures in relation to the implementation of parallel information processing

“…На использование человеком параллельных стратегий при решении различных задач указывают многие авторы психологических исследований [Popov et al, 2010;Kant, 2012;Karamath, Amalarethinam, 2013;Fischer, Plessow, 2015;Ajay, Singh, 2015;Tran, Le, 2015;Nandi et al, 2018;Marouf et al, 2019]. Во всех случаях можно говорить о формировании в мозге человека специальных структур в процессе решения серии задач одного типа.…”