INFLUENCE OF SOCIAL MEDIA ADDICTION ON ACADEMIC ACHIEVEMENT IN DISTANCE LEARNING: INTERVENING ROLE OF ACADEMIC PROCRASTINATION

Year 2023, Volume: 24 Issue: 1, 1 - 19, 01.01.2023

Kevin D. Caratıquıt Lovely Jean C. Caratıquıt

https://doi.org/10.17718/tojde.1060563

Cited By: 1

Abstract

Using Partial Least Squares-Structural Equation Modeling with WarpPLS, this study examines the indirect effect of the relationship between learners' social media addiction and academic achievement in distance learning as mediated by academic procrastination. The study participants were 223 Filipino students at a secondary school in Cagayan, Philippines, who were chosen using convenience sampling. Sample sizes were calculated using the inverse square root and gamma-exponential methods. The findings indicated a positive and significant relationship between social media addiction and academic procrastination. There is also a negative and significant relationship between academic procrastination and learners' academic achievement. In terms of the indirect effects of the mediation model, the relationship between social media addiction and academic achievement is fully mediated by academic procrastination. This indicates that academic procrastination substantially impacts the strength of the correlation between social media addiction and academic achievement. The findings of the undertaking were discussed regarding their implications for institutions and future research.

Keywords

Social Media Addiction, Academic Achievement, Academic Procrastination, Distance Learning, PLS-SEM

Supporting Institution

LAL-LO NATIONAL HIGH SCHOOL

Project Number

1

Thanks

The researchers wish to express gratitude to the institution and all other parties involved in making this study possible through their consent, cooperation, and support.

References

• Aalbers, G., Vanden Abeele, M. M., Hendrickson, A. T., De Marez, L., & Keijsers, L. (2021). Caught in the moment: Are there person-specific associations between momentary procrastination and passively logged smartphone use? https://doi.org/10.31234/osf.io/rw73n
• Abbasi, G. A., Jagaveeran, M., Goh, Y., & Tariq, B. (2021). The impact of type of content use on smartphone addiction and academic performance: Physical activity as moderator. Technology in Society, 64, 101521. https://doi.org/10.1016/j.techsoc.2020.101521
• Adjin-Tettey, T. D., Selormey, D., & Nkansah, H. A. (2022). Ubiquitous technologies and learning. International Journal of Information and Communication Technology Education, 18(1), 1-16. https://doi.org/10.4018/ijicte.286758
• Ahmed, O., & Hossain, M. A. (2018). Validation study of the Bergen Facebook addiction scale on a sample of Bangladeshi people. Journal of Addiction Research & Therapy, 09(06). https://doi.org/10.4172/2155-6105.1000369
• Akinsola, M. K., Tella, A., & Tella, A. (2007). Correlates of academic Procrastinationand mathematics achievement ofUniversity undergraduate students. EURASIA Journal of Mathematics, Science and Technology Education, 3(4). https://doi.org/10.12973/ejmste/75415
• Alaika, O., Doghmi, N., & Cherti, M. (2020). Social media addiction among moroccan university students: A cross sectional survey. PAMJ - One Health, 1. https://doi.org/10.11604/pamj-oh.2020.1.4.21930
• Albarashdi, H. S. (2020). Social networking (SNS) addiction among university students: A literature review and research directions. Journal of Education, Society and Behavioural Science 33 (1), 11-33. https://doi.org/10.9734/jesbs/2020/v33i130191
• Alih, N. I., & Alvarez, A. L. (2021). Academic procrastination: Its effect on the learning productivity of senior high school students in Mindanao state University-Sulu. Indonesian Community Empowerment Journal, 1(2), 77-89. https://doi.org/10.37275/icejournal.v1i2.10
• Andreassen, C. S. (2015). Online social network site addiction: A comprehensive review. Current Addiction Reports, 2(2), 175-184. https://doi.org/10.1007/s40429-015-0056-9
• Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252-262. https://doi.org/10.1037/adb0000160
• Andreassen, C. S., Griffiths, M. D., Gjertsen, S. R., Krossbakken, E., Kvam, S., & Pallesen, S. (2013). The relationships between behavioral addictions and the five-factor model of personality. Journal of Behavioral Addictions, 2(2), 90-99. https://doi.org/10.1556/jba.2.2013.003
• Andreassen, C. S., Torsheim, T., & Pallesen, S. (2014). Predictors of use of social network sites at work - A specific type of cyberloafing. Journal of Computer-Mediated Communication, 19(4), 906-921. https://doi.org/10.1111/jcc4.12085
• Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012). Facebook addiction scale. PsycTESTS Dataset. https://doi.org/10.1037/t33272-000
• Andreassen, C., & Pallesen, S. (2014). Social network site addiction - An overview. Current Pharmaceutical Design, 20(25), 4053-4061. https://doi.org/10.2174/13816128113199990616
• Anierobi, E. I., Etodike, C. E., Nwogbo, V. N., Okeke, N. U., & Nwikpo, M. N. (2021). Evaluating Sexual Harassment against Female Workers in Higher Institutions in Anambra State, Nigeria. International Journal of Academic Research in Business and Social Sciences, 11(2), 265–278. http://dx.doi.org/10.6007/IJARBSS/v11-i2/8687
• Anierobi, E. I., Etodike, C. E., Okeke, N. U., & Ezennaka, A. O. (2021). Social media addiction as correlates of academic procrastination and achievement among undergraduates of Nnamdi Azikiwe University Awka, Nigeria. International Journal of Academic Research in Progressive Education and Development, 10(3). https://doi.org/10.6007/ijarped/v10-i3/10709
• Azizi, S. M., Soroush, A., & Khatony, A. (2019). The relationship between social networking addiction and academic performance in Iranian students of medical sciences: A cross-sectional study. BMC Psychology, 7(1). https://doi.org/10.1186/s40359-019-0305-0
• Baars, G. J., Schmidt, H. G., Hermus, P., Van der Molen, H. T., Arnold, I. J., & Smeets, G. (2021). Which students benefit most from an intervention aimed at reducing academic procrastination? European Journal of Higher Education, 1-19. https://doi.org/10.1080/21568235.2021.1999294
• Baccal, V. S., & Ormilla, R. G. (2021). The implementation of Alternative Learning System in public schools in Isabela, Philippines. EDUCATUM Journal of Social Sciences, 7(1), 19-29. https://doi.org/10.37134/ejoss.vol7.1.3.2021
• Barclay, D., Higgins, C. & Thompson, R. (1995), The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration, Technology Studies, 2(2), 285-309. https://www.researchgate.net/publication/313137896_The_partial_least_squares_approach_to_causal_modeling_Personal_computer_adoption_and_use_as_an_illustration#fullTextFileContent
• Brailovskaia, J., Margraf, J., & Schneider, S. (2021). Social media as source of information, stress symptoms, and burden caused by coronavirus (COVID-19). European Psychologist, 26(4), 373-386. https://doi.org/10.1027/1016-9040/a000452
• Brooks, S. (2015). Does personal social media usage affect efficiency and well-being? Computers in Human Behavior, 46, 26-37. https://doi.org/10.1016/j.chb.2014.12.053
• Caratiquit, K., & Pablo, R. (2021). Exploring the practices of secondary school teachers in preparing for classroom observation amidst the new normal of education. Journal of Social, Humanity, and Education, 1(4), 281-296. https://doi.org/10.35912/jshe.v1i4.721
• Catingub, D. (2020). Learning styles, motivation to learn and academic performance of grade five pupils. International Journal of Science and Management Studies (IJSMS), 3(3), 49-61. https://doi.org/10.51386/25815946/ijsms-v3i3p106
• Cemiloglu, D., Almourad, M. B., McAlaney, J., & Ali, R. (2022). Combatting digital addiction: Current approaches and future directions. Technology in Society, 68, 101832. https://doi.org/10.1016/j.techsoc.2021.101832
• Cerezo, R., Esteban, M., Sánchez-Santillán, M., & Nunez, J. C. (2017). Procrastinating behavior in computer-based learning environments to predict performance: A case study in Moodle. Frontiers in psychology, 8, 1403. https://doi.org/10.3389/fpsyg.2017.01403
• Chin, W. (1998). Issues and opinion on structural equation modeling management. Information Systems Quarterly, 22(1), 19-24. https://www.jstor.org/stable/249674
• Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336. https://psycnet.apa.org/record/1998-07269-010
• Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/Adoption study. Information Systems Research, 14(2), 189-217. https://doi.org/10.1287/isre.14.2.189.16018
• Crede, J., Wirthwein, L., McElvany, N., & Steinmayr, R. (2015). Adolescents’ academic achievement and life satisfaction: The role of parents’ education. Frontiers in Psychology, 6(52), 1-8. https://doi.org/10.3389/fpsyg.2015.00052
• Dikmen, M., & Bahadir, F. (2021). Achievement goal orientations as a mediating variable between academic procrastination and academic achievement. International Journal of Eurasian Education and Culture, 6(13), 1028-1060. https://doi.org/10.35826/ijoecc.404
• Durak, H. Y., Demirhan, E. K., & Citil, M. (2022). Examining various risk factors as the predictors of gifted and non-gifted high school students' online game addiction. Computers & Education, 177, 104378. https://doi.org/10.1016/j.compedu.2021.104378
• Elvers, G. C., Polzella, D. J., & Graetz, K. (2003). Procrastination in online courses: Performance and attitudinal differences. Teaching of Psychology, 30(2), 159-162. https://doi.org/10.1207/s15328023top3002_13
• Etodike, C. E., Nwangwu, N. I., Nnaebue, C. I., & Anierobi, E. I. (2020). Effect of Time Management and Monetary Rewards on Cognitive Task Accomplishment among Students of Nnamdi Azikiwe Secondary School, Awka, Nigeria. Canadian Social Science, 16 (8), 29-35. https://dx.doi.org/10.3968/11836
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
• García-Pérez, D., Fraile, J., & Panadero, E. (2020). Learning strategies and self-regulation in context: How higher education students approach different courses, assessments, and challenges. European Journal of Psychology of Education, 36(2), 533-550. https://doi.org/10.1007/s10212-020-00488-z
• Goroshit, M. (2018). Academic procrastination and academic performance: An initial basis for intervention. Journal of Prevention & Intervention in the Community, 46(2), 131–142. https://doi.org/10.1080/10852352.2016.1198157
• Gökalp, Z. Ş., Saritepeci, M., & Durak, H. Y. (2022). The relationship between self-control and procrastination among adolescent: The mediating role of multi screen addiction. Current Psychology. https://doi.org/10.1007/s12144-021-02472-2
• Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197. https://doi.org/10.1080/14659890500114359
• Grunschel, C., Patrzek, J., & Fries, S. (2012). Exploring reasons and consequences of academic procrastination: An interview study. European Journal of Psychology of Education, 28(3), 841-861. https://doi.org/10.1007/s10212-012-0143-4
• Haand, R., & Shuwang, Z. (2020). The relationship between social media addiction and depression: A quantitative study among university students in Khost, Afghanistan. International Journal of Adolescence and Youth 25 (1), 780-786. https://doi:.org/10.1080/ 02673843.2020.1741407
• Haenlein, M., & Kaplan, A. M. (2004). A beginner's guide to partial least squares analysis. Understanding Statistics, 3(4), 283-297. https://doi.org/10.1207/s15328031us0304_4
• Hailikari, T., Katajavuori, N., & Asikainen, H. (2021). Understanding procrastination: A case of a study skills course. Social Psychology of Education, 24(2), 589-606. https://doi.org/10.1007/s11218-021-09621-2
• Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433. https://link.springer.com/article/10.1007%2Fs11747-011-0261-6
• Hair, J.F., Anderson, R.E., & Tatham, R.L. (1987). Multivariate data analysis. New York, NY: Macmillan
• Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2009). Multivariate data analysis. Upper addle River, NJ: Prentice Hall
• Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. https://doi.org/10.2753/mtp1069-6679190202
• Hajifathali, F., Ghorbani, N., & Rostami, R. (2021). The relationship between integrative self-knowledge, mindfulness, self-control, and mental health parameters. Propósitos y Representaciones, 9(SPE3). https://doi.org/10.20511/pyr2021.v9nspe3.1277
• Hayat, A. A., Kojuri, J., & Amini, M. (2020). Academic procrastination of medical students: The role of internet addiction. Journal of Advances in Medical Education & Professionalism 8(2), 83-89. doi:10.30476/JAMP.2020.85000.1159 https://www.ncbi.nlm.nih.gov/pmc /articles/PMC7188941/
• Hen, M. (2018). Academic procrastination and feelings toward procrastination in LD and non-LD students: Preliminary insights for future intervention. Journal of Prevention & Intervention in the Community, 46(2), 199-212. https://doi.org/10.1080/10852352.2016.1198173
• Hong, J., Lee, Y., & Ye, J. (2021). Procrastination predicts online self-regulated learning and online learning ineffectiveness during the coronavirus lockdown. Personality and Individual Differences, 174, 110673. https://doi.org/10.1016/j.paid.2021.110673
• Hou, Y., Xiong, D., Jiang, T., Song, L., & Wang, Q. (2019). Social media addiction: Its impact, mediation, and intervention. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 13(1). https://doi.org/10.5817/cp2019-1-4
• Howell, A. J., & Watson, D. C. (2007). Procrastination: Associations with achievement goal orientation and learning strategies. Personality and Individual Differences, 43(1), 167-178. https://doi.org/10.1016/j.paid.2006.11.017
• Hussain, I., & Sultan, S. (2010). Analysis of procrastination among university students. Procedia - Social and Behavioral Sciences, 5, 1897-1904. https://doi.org/10.1016/j.sbspro.2010.07.385
• Ipem, J. N., & Okwara-Kalu, C. E. (2020). Internet addiction and academic performance of undergraduate students of AlvanIkoku Federal College of Education (AIFCE) Owerri. Journal of Nigerian Academy of Education 16 (2), 306-317. http://journals.ezenwaohaetorc.org/index.php/JONAED/article/download/1496/1539
• Issa, I., & Hamm, U. (2017). Adoption of organic farming as an opportunity for Syrian farmers of fresh fruit and vegetables: An application of the theory of planned behaviour and structural equation modelling. Sustainability, 9(11), 2024. https://doi.org/10.3390/su9112024
• Karatas, H. (2015). Correlation among Academic Procrastination, Personality Traits, and Academic Achievement. Anthropologist, 20(1), 243-255. https://www.sid.ir/en/journal/ViewPaper.aspx?ID=554868
• Keil, M., Tan, B. C., Wei, K., Saarinen, T., Tuunainen, V., & Wassenaar, A. (2000). A cross-cultural study on escalation of commitment behavior in software projects. MIS Quarterly, 24(2), 299. https://doi.org/10.2307/3250940
• Khalifa, A. G. (2021). Social networking addiction and quality of academic life among first-year high school students in Saudi Arabia: The mediating role of academic procrastination. Journal of Intellectual Disability - Diagnosis and Treatment, 9(4), 374-380. https://doi.org/10.6000/2292-2598.2021.09.04.4
• Kline, R.B. (1998). Principles and practice of structural equation modeling. New York, NY: The Guilford Press
• Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed.). Guilford Publications.
• Klingsieck, K. B. (2013). Procrastination in different life-domains: Is procrastination domain specific? Current Psychology, 32(2), 175-185. https://doi.org/10.1007/s12144-013-9171-8
• Klingsieck, K. B., Fries, S., Horz, C., & Hofer, M. (2012). Procrastination in a distance university setting. Distance Education, 33(3), 295-310. https://doi.org/10.1080/01587919.2012.723165
• Kock, N. (2014). Advanced mediating effects tests, multi-group analyses, and measurement model assessments in PLS-based SEM. International Journal of e-Collaboration, 10(1), 1-13. https://doi.org/10.4018/ijec.2014010101
• Kock, N. (2015). Common method bias in PLS-SEM. International Journal of e-Collaboration, 11(4), 1-10. https://doi.org/10.4018/ijec.2015100101
• Kock, N. (2017). WarpPLS 6.0 user manual. Laredo, TX: ScriptWarp Systems. http://cits.tamiu.edu/WarpPLS/UserManual_v_6_0.pdf
• Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal, 28(1), 227–261. http://doi.org/10.1111/isj.12131
• Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546-580. https://doi.org/10.17705/1jais.00302
• Kock, N. (2020). WarpPLS User Manual: Version 7.0 - ScriptWarp Systems. ScriptWarp Systems. https://www.scriptwarp.com/warppls/UserManual_v_7_0.pdf
• Kolhar, M., Kazi, R. N., & Alameen, A. (2021). Effect of social media use on learning, social interactions, and sleep duration among university students. Saudi Journal of Biological Sciences, 28(4), 2216-2222. https://doi.org/10.1016/j.sjbs.2021.01.010
• Koppenborg, M., & Klingsieck, K. B. (2022). Social factors of procrastination: Group work can reduce procrastination among students. Social Psychology of Education. https://doi.org/10.1007/s11218-021-09682-3
• Kryshko, O., Fleischer, J., Grunschel, C., & Leutner, D. (2022). Self-efficacy for motivational regulation and satisfaction with academic studies in STEM undergraduates: The mediating role of study motivation. Learning and Individual Differences, 93, 102096. https://doi.org/10.1016/j.lindif.2021.102096
• Kurtovic, A., Vrdoljak, G., & Idzanovic, A. (2019). Predicting procrastination: The role of academic achievement, self-efficacy and perfectionism. International Journal of Educational Psychology, 8(1), 1. https://doi.org/10.17583/ijep.2019.2993
• Lacap, J. G. (2019). The Mediating Effect of Employee Engagement on the Relationship of Transformational Leadership and Intention to Quit: Evidence from Local Colleges in Pampanga, Philippines. Asia-Pacific Social Science Review, 19(1), 33-48. http://apssr.com/wp-content/uploads/2019/03/RA-3.pdf
• Lau, W. W. (2017). Effects of social media usage and social media multitasking on the academic performance of university students. Computers in Human Behavior, 68, 286-291. https://doi.org/10.1016/j.chb.2016.11.043 Lewis, D. (2022). Modeling student engagement using optimal control theory. Journal of Geometric Mechanics, 0(0), 0. https://doi.org/10.3934/jgm.2021032
• Li, L., Gao, H., & Xu, Y. (2020). The mediating and buffering effect of academic self-efficacy on the relationship between smartphone addiction and academic procrastination. Computers & Education, 159, 104001. https://doi.org/10.1016/j.compedu.2020.104001
• Mahmood, Q. K., Jafree, S. R., & Sohail, M. M. (2020). Pakistani youth and social media addiction: The validation of Bergen Facebook addiction scale (BFAS). International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-020-00391-0
• Marengo, D., Angelo Fabris, M., Longobardi, C., & Settanni, M. (2022). Smartphone and social media use contributed to individual tendencies towards social media addiction in Italian adolescents during the COVID-19 pandemic. Addictive Behaviors, 126, 107204. https://doi.org/10.1016/j.addbeh.2021.107204
• McCloskey, J. D. (2011). Finally, my thesis on academic procrastination. ProQuest, UMI Dissertations Publishing.
• Melgaard, J., Monir, R., Lasrado, L. A., & Fagerstrøm, A. (2022). Academic procrastination and online learning during the COVID-19 pandemic. Procedia Computer Science, 196, 117-124. https://doi.org/10.1016/j.procs.2021.11.080
• Michinov, N., Brunot, S., Le Bohec, O., Juhel, J., & Delaval, M. (2011). Procrastination, participation, and performance in online learning environments. Computers & Education, 56(1), 243-252. https://doi.org/10.1016/j.compedu.2010.07.025
• Moon, S. M., & Illingworth, A. J. (2005). Exploring the dynamic nature of procrastination: A latent growth curve analysis of academic procrastination. Personality and Individual Differences, 38(2), 297-309. https://doi.org/10.1016/j.paid.2004.04.009
• Navarro-Martinez, O., & Peña-Acuña, B. (2022). Technology usage and academic performance in the PISA 2018 report. Journal of New Approaches in Educational Research, 11(1), 130. https://doi.org/10.7821/naer.2022.1.735
• Ndubuaku, V., Inim, V., Ndudi, U. C., Samuel, U. E., & Prince, A. I. (2020). Effects of social networking addiction on academic performance of university students in Nigeria. International Journal of Recent Technology and Engineering 8(5), 173-180. https://doi: 10.35940/ijrte.D8393.018520
• Nwosu, K. C., Ikwuka, O. I., Ugorji, O. M., & Unachukwu, G. C. (2020). Does the association of social media use with problematic internet behaviours predict undergraduate students academic procrastination? Canadian Journal of Learning and Technology / La revue canadienne de l’apprentissage et de la technologie, 46(1). https://doi.org/10.21432/cjlt27890
• Odofin, T., & Ofojebe, E. N. (2020). Relationship between social media addiction and deviant behaviour among secondary school students in Delta state. Journal of the Nigerian Academy of Education, 16(2), 27-36. https://journals.ezenwaohaetorc.org/index.php/JONAED/article/view/1474
• Okeke, N. U., & Anierobi, E. I. (2020).The influence of social media on aggressive behaviours of in-school adolescents in Anambra State. Journal of Nigerian Academy of Education 16 (1), 279-292
• Oluyinka, S., Endozo, A., & Cusipag, M. (2021). Integrating Trialability and Compatibility with UTAUT to Assess Canvas Usage During COVID-19 Quarantine Period. Asia-Pacific Social Science Review, 21(2), 31-47. http://apssr.com/wp-content/uploads/2021/06/RA-3.pdf
• Özer, B. U., Saçkes, M., & Tuckman, B. W. (2013). Psychometric properties of the Tuckman procrastination scale in a Turkish sample. Psychological Reports, 113(3), 874-884. https://doi.org/10.2466/03.20.pr0.113x28z7
• Pekpazar, A., Kaya Aydın, G., Aydın, U., Beyhan, H., & Arı, E. (2021). Role of Instagram addiction on academic performance among Turkish University students: Mediating effect of procrastination. Computers and Education Open, 2, 100049. https://doi.org/10.1016/j.caeo.2021.100049
• Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36(4), 717-731. https://doi.org/10.3758/bf03206553
• Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891. https://doi.org/10.3758/brm.40.3.879
• Rajapakshe, W. (2021). The impact of academic procrastination, self-efficacy, and motivation on academic performance: Among undergraduates in non-state universities in Sri Lanka. Asian Journal of Education and Social Studies, 25-38. https://doi.org/10.9734/ajess/2021/v14i330356
• Rasheed, R. A., Kamsin, A., & Abdullah, N. A. (2020). Challenges in the online component of blended learning: A systematic review. Computers & Education, 144, 103701. https://doi.org/10.1016/j.compedu.2019.103701
• Rasoolimanesh, S. M. (2022). Discriminant validity assessment in PLS-SEM: A comprehensive composite-based approach. Data Analysis Perspectives Journal, 3(1), 1-8. https://scriptwarp.com/dapj/2022_DAPJ_3_2/Rasoolimanesh_2022_DAPJ_3_2_DiscriminantValidity.pdf
• Reinartz, W. J., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1462666
• Rozgonjuk, D., Kattago, M., & Täht, K. (2018). Social media use in lectures mediates the relationship between procrastination and problematic smartphone use. Computers in Human Behavior, 89, 191-198. https://doi.org/10.1016/j.chb.2018.08.003
• Sandeep, L., Shouvik, C., Suparna, C., & Avijit, H. (2019). Impact of social media on academic performance and inter-personal relation: A cross-sectional study among students oat a tertiary medical center in East India. Journal of Education and Health Promotion 8: 73. Https://doi:10.4103/jehp.jehp_365_18
• Sarid, M., Peled, Y., & Vaknin-Nusbaum, V. (2021). The relationship between second language college students' perceptions of online feedback on draft-writing and academic procrastination. Reading and Writing, 34(5), 1247-1271. https://doi.org/10.1007/s11145-020-10111-8
• Scheunemann, A., Schnettler, T., Bobe, J., Fries, S., & Grunschel, C. (2021). A longitudinal analysis of the reciprocal relationship between academic procrastination, study satisfaction, and dropout intentions in higher education. European Journal of Psychology of Education. https://doi.org/10.1007/s10212-021-00571-z
• Schraw, G., Wadkins, T., & Olafson, L. (2007). Doing the things we do: A grounded theory of academic procrastination. Journal of Educational Psychology, 99(1), 12-25. https://doi.org/10.1037/0022-0663.99.1.12
• Solomon, L. J., & Rothblum, E. D. (1984). Academic procrastination: Frequency and cognitive-behavioral correlates. Journal of Counseling Psychology, 31(4), 503-509. https://doi.org/10.1037/0022-0167.31.4.503
• Statsoft (2013). Structural Equation Modeling, Statsoft Electronic Statistics Textbook. http://www.statsoft.com/textbook/structural-equation-modeling/
• Şahin, C. (2018). Social Media Addiction Scale - Student Form: The Reliability and Validity Study. TOJET: The Turkish Online Journal of Educational Technology, 17(1), 169-182. https://doi.org/10.1037/t72756-000
• Tateno, M., Kim, D., Teo, A. R., Skokauskas, N., Guerrero, A. P., & Kato, T. A. (2019). Smartphone addiction in Japanese college students: Usefulness of the Japanese version of the smartphone addiction scale as a screening tool for a new form of internet addiction. Psychiatry Investigation, 16(2), 115-120. https://doi.org/10.30773/pi.2018.12.25.2
• Tuckman, B. W. (1991). The development and concurrent validity of the Procrastination Scale. Educational and Psychological Measurement, 51, 473 – 480. https://doi.org/10.1177/0013164491512022
• Ucar, H., Bozkurt, A., & Zawackı-Rıchter, O. (2021). Academic procrastination and performance in distance education: A causal-comparative study in an online learning environment. Turkish Online Journal of Distance Education, 13-23. https://doi.org/10.17718/tojde.1002726
• Ulke, Z., Noyan, C., & Dilbaz, N. (2017). Validity and reliability of the Turkish version of the Bergen Facebook addiction scale among University students. Current Addiction Research, 1(1), 16. https://doi.org/10.5455/car.20170622083801
• Uztermur, S. (2020). The mediating role of academic procrastination behaviours in the relationship between pre-service social studies teacher's social media addiction and academic success. International Journal of Education Technology and Scientific Researches 5 (11), 63-101. https://doi:10.35826/ijetsar.112
• Uzun Ozer, B., Sackes, M., & Tuckman, B. W. (2013). Psychometric properties of the Tuckman Procrastination Scale in a Turkish sample. Psychological Reports, 113(3), 874-884. https://doi.org/10.2466/03.20.pr0.113x28z7
• Walburg, V., Mialhes, A., & Moncla, D. (2016). Does school-related burnout influence problematic Facebook use? Children and Youth Services Review, 61, 327-331. https://doi.org/10.1016/j.childyouth.2016.01.009
• Ward, A., Stoker, H. W., & Murray-Ward, M. (1996). Educational measurement: Theories and applications. University Press of America. https://catalog.bdu.edu.et/cgi-bin/koha/opac-detail.pl?biblionumber=14132
• Wardhani, N. W., Nugroho, W. H., Fernandes, A. A., & Solimun, S. (2020). Structural equation modeling (SEM) analysis with Warppls approach based on theory of planned behavior (TPB). Mathematics and Statistics, 8(3), 311-322. https://doi.org/10.13189/ms.2020.080310
• Wartberg, L., Thomasius, R., & Paschke, K. (2021). The relevance of emotion regulation, procrastination, and perceived stress for problematic social media use in a representative sample of children and adolescents. Computers in Human Behavior, 121, 106788. https://doi.org/10.1016/j.chb.2021.106788
• Whelan, E., Islam, A. N., & Brooks, S. (2020). Applying the SOBC paradigm to explain how social media overload affects academic performance. Computers & Education, 143, 103692. https://doi.org/10.1016/j.compedu.2019.103692
• Wolters, C. A., Won, S., & Hussain, M. (2017). Examining the relations of time management and procrastination within a model of self-regulated learning. Metacognition and Learning, 12(3), 381-399. https://doi.org/10.1007/s11409-017-9174-1
• Yakut, E., & Kuru, O. (2020). The role of social media usage purposes in the relationship between social media addiction and academic procrastination behaviour: A structural equation model study. Business and Management Studies: An International Journal 8 (2), 2193-2214. https://doi.org/10.15295/bmij.v8i2.1503
• Yockey, R. (2014). Validation study of the short form of the academic procrastination scale (APS-S). PsycEXTRA Dataset. https://doi.org/10.1037/e522252014-073
• Zimmer, J. C. (2022). Problematic social network use: Its antecedents and impact upon classroom performance. Computers & Education, 177, 104368. https://doi.org/10.1016/j.compedu.2021.104368