Speakers

A. Prof.Fonny Dameaty Hutagalung

Faculty of Education, University of Malaya, Malaysia

Research Area: Early Childhood Education, Digital Literacy in ECE, Educational Psychology

Brief introduction of your research experience: AP Dr. Fonny Dameaty Hutagalung's research interest is related to early childhood education such as digital literacy among preschooler children, digital media and technology in ECE, 21st Century Education in ECE, etc. She is currently a program coordinator in the Master of Early Childhood Education. She was an Editor Guest, at Advanced Science Letter Journal and an editor Guest, at Education and Information Technology (Springer). Her name is very well-known in CRC Balkema Taylor & Francis Publisher as Editor Books of Economics, Social Sciences and Informational Management (2015), The Role of Service in Tourism & Hospitality Industry (2015), Social Sciences and Interdisciplinary Behaviour (2016) and Knowledge, Service, Tourism & Hospitality (2016), Managing Service, Education, and Knowledge Management in the Knowledge Economic Era (2017), Social Interactions and Networking in Cyber Society (Springer) (2017), Trends and Issues in Interdisciplinary Behaviour and Social Sciences (2017, 2018), Early Childhood Education in 21st century (2019), and The Social Science Empowered (2020). More than 100 articles published in ISI Journal, Scopus index, Proceeding, and reputation journals.

A. Prof. Dana Rad 

Faculty of Educational Sciences, Psychology and Social Sciences, Aurel Vlaicu University of Arad, Romania

Research Area: Applied Cognitive Sciences, Cognitive Systems Engineering, Systems theory

Title:Head of Center of Research Development and Innovation in Psychology

Brief introduction of your research experience: Brief introduction of your research experience: Dana Rad, PhD. is an Associate Professor in the Faculty of Educational Sciences, Psychology, and Social Sciences at Aurel Vlaicu University of Arad, Romania. She is Head of the Center of Research Development and Innovation in Psychology. She holds a double specialization in Psychology (PhD in Applied Cognitive Psychology) and Systems Engineering (PhD student in Systems Engineering). She was a Visiting Professor at the University of Oviedo, Spain, and a research scientist in more than 20 European Union funded projects. Her research interests include: Applied Cognitive Sciences, Cognitive Systems Engineering, Systems theory, Artificial Intelligence and mathematical modelling in Psychology, Organizational Psychology, Digital Wellbeing, and Polygraph testing She is a co-author of 20 books and more than 200 international conferences and journal papers. She is a member of IANLP, IACAT, IAENG, COPSI and APA. Dr. Dana Rad is registered as an autonomous psychologist with the right to practice in the specializations: clinical psychology, educational psychology, school and vocational counseling, and work and organizational psychology.

Abstract: This research addresses the psychological distress, a pervasive concern globally, characterized by a myriad of emotional, cognitive, and physiological experiences. Intertwined with maladaptive cognitive schemas and heightened anxiety, accurate prediction of psychological distress is pivotal for early interventions, personalized treatment plans, and resource optimization. Employing the Random Forest Regression (RFR) algorithm, a robust ensemble learning method, the study delves into the predictive capabilities of maladaptive cognitive schemas and anxiety. The RFR algorithm facilitates a comprehensive exploration of variable interplay, enhancing the precision of distress prediction and providing a robust framework for understanding and addressing psychological distress. A cohort of 474 individuals from the Institute of Legal Medicine in Cluj-Napoca, Romania, formed the participant base. Selected based on diverse traumatic experiences, including various life events, and distressing incidents, participants provided a representative sample crucial for the study's nuanced exploration of psychological distress. Data collection spanned from 2017 to 2019, capturing a broad temporal scope. The diverse demographic profile of participants, with ages ranging from 18 to 62 years, a mean age of 28 years, and nearly equal gender distribution (60% female, 40% male), ensures a comprehensive representation across age groups and genders. The research contributes to the understanding of psychological distress, offering insights for more effective early interventions and personalized treatment strategies, with the potential to significantly improve well-being and healthcare efficiency.