_____________________________________________________________________________________________________ *Corresponding author: Email: candogru3@gmail.com; S. Asian J. Soc. Stud. Econ., vol. 17, no. 3, pp. 1-11, 2023 South Asian Journal of Social Studies and Economics Volume 17, Issue 3, Page 1-11, 2023; Article no.SAJSSE.96388 ISSN: 2581-821X Investigating Cyberloafing and Academic Burnout in University Students during the COVID-19 Pandemic Muhammet Can Doğru a* and Zekavet Kabasakal a a Department of Psychological Counselling and Guidance, Dokuz Eylül University, Türkiye. Authors’ contributions This work was carried out in collaboration between both authors. Both authors read and approved the final manuscript. Article Information DOI: 10.9734/SAJSSE/2023/v17i3636 Open Peer Review History: This journal follows the Advanced Open Peer Review policy. Identity of the Reviewers, Editor(s) and additional Reviewers, peer review comments, different versions of the manuscript, comments of the editors, etc are available here: https://www.sdiarticle5.com/review-history/96388 Received: 04/12/2022 Accepted: 08/02/2023 Published: 11/02/2023 ABSTRACT Aims: The present study was conducted with university students since it aims to explore the correlation between cyberloafing behavior in educational institutions during the COVID-19 pandemic and academic burnout. Study Design: Correlational survey model Place and Duration of Study: Faculty of Education, Faculty of Economics and Administrative Sciences, between September 2021 and June 2022. Methodology: The population of the study, which employed correlational survey model, was a group of students attending a state-run Turkish University in İzmir. The sampling consisted of the students accessed by using conventional sampling method. The data for the purposes of the study were collected from 406 university students (249 female and 157 male) by administrating Personal Information Form, Cyberloafing Scale and Maslach Burnout Inventory-Student Scale. SPSS 28.0 statistical package software was employed to do Pearson Correlation Analysis and Multiple Regression Analysis. Original Research Article