Abstract
The primary objective of this study was to investigate the relationship between internet addiction and adolescents’ learning engagement, with a specific focus on the mediating sequential roles of future orientation and cognitive reappraisal. A survey encompassing 1200 high school students was conducted, utilizing instruments such as the Internet Addiction Scale, Learning Engagement Scale, Future Orientation Scale, and Cognitive Reappraisal Scale. The findings of this investigation yielded the following outcomes: (1) Internet addiction exhibited a pronounced negative correlation with high school students’ learning engagement, future orientation, and cognitive reappraisal. Furthermore, future orientation and cognitive reappraisal demonstrated mutually positive associations with learning engagement. (2) Future orientation and cognitive reappraisal jointly mediated the relationship between internet addiction and learning engagement among adolescents, forming a sequential mediation process. These findings suggest that enhancing adolescents’ future orientation and cognitive reappraisal abilities can contribute to mitigating the deleterious impact of internet addiction on academic performance.
![](https://cdn.statically.io/img/media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs12144-024-05982-x/MediaObjects/12144_2024_5982_Fig1_HTML.png)
![](https://cdn.statically.io/img/media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs12144-024-05982-x/MediaObjects/12144_2024_5982_Fig2_HTML.png)
Similar content being viewed by others
Data availability
The datasets generated during or analysed during the current study are available from the corresponding author on reasonable request.
References
Bao, Z. Z., Li, D. P., Zhang, W., Wang, Y. H., Sun, W. Q., & Zhao, L. Y. (2014). Cumulative ecological risk and adolescents’ academic and social competence: The compensatory and moderating effects of sense of responsibility to parents. Psychological Development and Education, 30(5), 482–495. https://doi.org/10.16187/j.cnki.issn1001-4918.2014.05.018
Buzzai, C., Filippello, P., Costa, S., Amato, V., & Sorrenti, L. (2021). Problematic Internet use and academic achievement: A focus on interpersonal behaviours and academic engagement. Social Psychology of Education, 24(1), 95–118. https://doi.org/10.1007/s11218-020-09601-y
Cai, L., & Jia, X. J. (2020). The effect of academic self-efficacy on online learning engagement: The chain mediating role of learning motivation and flow experience. Studies of Psychology and Behavior, 18(6), 805–811.
Chen, J. W., Liu, Y., & Tan, Q. B. (2022). The relationship of cumulative ecological risk and higher vocational college students’ learning burnout: The mediation effect of negative self-schema and Internet addiction. Psychological Development and Education, 38(4), 576–583. https://doi.org/10.16187/j.cnki.issn1001-4918.2022.04.14
Davies, P. T., Harold, G. T., Goeke-Morey, M. C., Cummings, E. M., & Rasi, J. A. (2002). Child emotional security and interparental conflict. Monographs of the Society for Research in Child Development, 67(3), 12–13. https://doi.org/10.1111/1540-5834.00205
Deci, E. L., & Ryan, R. M. (2008). Facilitating optimal motivation and psychological well-being across life’s domains. Canadian Psychology-Psychologie Canadienne, 49(1), 14–23. https://doi.org/10.1037/0708-5591.49.1.14
Deng, L. Y., Zhang, J. T., Fang, X. Y., Liu, Q. X., Tang, H. Y., & Lan, J. (2012). Perceived parental conflict and adolescents’ Internet addiction: The mediating effect of adolesncents’ conflict appraisal and emotional management. Psychological Development and Education, 28(05), 539–544. https://doi.org/10.16187/j.cnki.issn1001-4918.2012.05.010
Deng, X. Y., Liu, X. G., Liu, Q. Z., Wang, Y., & Yang, X. H. (2023). Relationship between parental psychological control and learning engagement and negative emotions of college students: The chain mediating role of defeat and coping efficacy. Chinese Journal of Clinical Psychology, 31(01), 142–147+126. https://doi.org/10.16128/j.cnki.1005-3611.2023.01.026
Ding, Q., Luo X. Y., Huang, L., & Zhang, Y. X. (2022). Interparental conflict affects adolescent mobile phone addiction: Based on the spillover hypothesis and emotional security theory. Chinese Journal of Clinical Psychology, 30(03), 653–657. https://doi.org/10.16128/j.cnki.1005-3611.2022.03.031
Du, G., & Lv, H. C. (2017). The relationship between adolescents’ future time perspective and academic delay of gratification: The mediating role of impulsivity. Journal of Psychological Science, 40(01), 96–102. https://doi.org/10.16719/j.cnki.1671-6981.20170115
Fan, N., Zhang, C., & Jing, S. Z. (2022). The impact of emotional regulation strategies on moral decision-making under different cognitive resources. Chinese Journal of Applied Psychology, 28(5), 473–480.
Fang, L. T., Shi, K., & Zhang, F. H. (2008). Research on reliability and validity of utrecht work engagement scale-student. Chinese Journal of Clinical Psychology, 16(6), 618–620. CNKI:SUN:ZLCY.0.2008-06-022
Feng, J. X., Wang, Y. C., & Zhang, D. H. (2020). Reliability and validity of the consideration of future consequences scale in Chinese adults. Psychological Research Psychologische Forschung, 13(6), 521–527.
Firoozabadi, A., Razavian, Y., Saleh, S., & Hosseini, S. R. (2023). The comparison of neurocognitive functions between internet-addicted, methamphetamine users, and healthy participants. Applied Neuropsychology-Adult.https://doi.org/10.1080/23279095.2023.2224478.
Gross, J. J. (1998). Antecedent- and response-focused emotion regulation: Divergent consequences for experience, expression, and physiology. Journal of Personality and Social Psychology, 74(1), 224–237. https://doi.org/10.1037/0022-3514.74.1.224
Gross, J. J. (1999). Emotion regulation: Past, Present. Future. Cognition and Emotion, 13(5), 551–573. https://doi.org/10.1080/026999399379186
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press.
Hobfoll, S. E. (2002). Social and psychological resources and adaptation. Review of General Psychology, 6(4), 307–324. https://doi.org/10.1037/1089-2680.6.4.307
Huang, D. Y., Lanza, H. I., Murphy, D. A., & Hser, Y. I. (2012). Parallel development of risk behaviors in adolescence: Potential pathways to co-occurrence. International Journal of Behavioral Development, 36(4), 247–257. https://doi.org/10.1177/0165025412442870
Huang, Q. S., Li, Y. B., Ren, Y. G., Zheng, Y. M., & Huang, Y. Y. (2019). Research on the influence of college students’ achievement goal orientations on online student engagement: Mediating roles of academic procrastination. Modern Distance Education, 185(5), 77–85. https://doi.org/10.13927/j.cnki.yuan.2019.0054
Jamieson, J. P., Mendes, W. B., Blackstock, E., & Schmader, T. (2010). Turning the knots in your stomach into bows: Reappraising arousal improves performance on the GRE. Journal of Experimental Social Psychology, 46, 208–212. https://doi.org/10.1016/j.jesp.2009.08.015
Jeon, M. K., Lee, I., & Lee, M. Y. (2022). The multiple mediating effects of grit and learning agility on academic burnout and learning engagement among Korean university students: A cross-sectional study. Annals of Medicine, 54(1), 2710–2724. https://doi.org/10.1080/07853890.2022.2122551
Ji, C. M., Feng, B., & Zhao, H. (2023). Influence of family socioeconomic status on learning engagement of secondary school students: A chain mediating effect of psychological resilience and academic self-concept. Education and Economy, 39(4), 64–71.
Jin, S. H., Yu, Q. L., Guo, Y. F., Zhang, L., Zhu, Y. J., & Wu, G. A. (2017). The effect of juvenile use of online social interaction on internet addiction: The moderating effect of the family social economic status. Journal of Psychological Science, 40(4), 885–891. https://doi.org/10.16719/j.cnki.1671-6981.20170417
Karki, K., Singh, D. R., Maharjan, D., Sushmita, K. C., Shrestha, S., & Thapa, D. K. (2021). Internet addiction and sleep quality among adolescents in a peri-urban setting in Nepal: A cross-sectional school-based survey. Plos One, 16(2), Article e0246940. https://doi.org/10.1371/journal.pone.0246940
Li, D., Zhang, W., Li, X., Zhou, Y., Zhao, L., & Wang, Y. (2016). Stressful life events and adolescent Internet addiction: The mediating role of psychological needs satisfaction and the moderating role of coping style. Computers in Human Behavior, 63, 408–415. https://doi.org/10.1016/j.chb.2016.05.070
Li, G., Li, Z., Wu, X., & Zhen, R. (2022). Relations between class competition and primary school students’ academic achievement: Learning anxiety and learning engagement as mediators. Frontiers in Psychology, 13, Article 775213. https://doi.org/10.3389/fpsyg.2022.775213
Li, J. Z. (2022). Youth blue book: The current Internet penetration rate of minors is nearly saturated. China News Network. http://www.chinanews.com.cn/cj/2022/11-22/9899764.shtml. Accessed 22 Nov 2022
Liu, B. Y., Gai. X. S., & Wang, G. X. (2022). Comparison of three test approaches for adolescents’ future orientation. Journal of Psychological Science, 45(5), 1152–1158. https://doi.org/10.16719/j.cnki.1671-6981.20220516
Liu, Q. X., Zhang, L. L., Lin, Y., & Ding, Z. E. (2022). Negative representations of family and Internet relationship addiction: The mediating role of need to belong and social sensitivity. Psychological Development and Education, 38(04), 546–555. https://doi.org/10.16187/j.cnki.issn1001-4918.
Liu, Y. T., Ye, B. J., & Yang, Q. (2019). Stressful life events on student burnout in college students: A chain mediation analysis. Chinese Journal of Clinical Psychology, 27(04), 782–784+789. https://doi.org/10.16128/j.cnki.1005-3611.2019.04.029
Niu, G. F., Sun, X. J., Zhou, Z. K., & Wei, H. (2013). A review of cognitive neuroscience studies on Internet addiction. Advances in Psychological Science, 21(6), 1104–1111. CNKI:SUN:XLXD.0.2013-06-023
Nurmi, J. E. (1991). How do adolescents see their future? A review of the development of future orientation and planning. Developmental Review, 11(1), 1–59. https://doi.org/10.1016/0273-2297(91)90002-6
Oriol, X., Amutio, A., Mendoza, M., Da Costa, S., & Miranda, R. (2016). Emotional creativity as predictor of intrinsic motivation and academic engagement in university students: The mediating role of positive emotions. Frontiers in Psychology, 7, Article 1243. https://doi.org/10.3389/fpsyg.2016.01243
Pawlikowski, M., & Brand, M. (2011). Excessive Internet gaming and decision making: Do excessive world of warcraft players have problems in decision making under risky conditions? Psychiatry Research, 188(3), 428–433. https://doi.org/10.1016/j.psychres.2011.05.017
Quoidbach, J., Berry, E. V., Hansenne, M., & Mikolajczak, M. (2010). Positive emotion regulation and well-being: Comparing the impact of eight savoring and dampening strategies. Personality and Individual Differences, 49(5), 368–373. https://doi.org/10.1016/j.paid.2010.03.048
Rathakrishnan, B., Singh, S. S. B., Kamaluddin, M. R., Yahaya, A., Nasir, M. A. M., Ibrahim, F., & Ab Rahman, Z. (2021). Smartphone addiction and sleep quality on academic performance of university students: An exploratory research. International Journal of Environmental Research and Public Health, 18(16), Article 8291. https://doi.org/10.3390/ijerph18168291
Sayed, M., Naiim, C. M., Aboelsaad, M., & Ibrahim, M. K. (2022). Internet addiction and relationships with depression, anxiety, stress and academic performance among egypt pharmacy students: A cross-sectional designed study. BMC Public Health, 22(1), Article 1826. https://doi.org/10.1186/s12889-022-14140-6
Schaufeli, W. B., Martinez, I. M., Pinto, A. M., Salanova, M., & Bakker, A. B. (2002). Burnout and engagement in university students: A cross-national study. Journal of Cross-Cultural Psychology, 33(5), 464–481. https://doi.org/10.1177/0022022102033005003
Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7(4), 422–445. https://doi.org/10.1037/1082-989x.7.4.422
Strathman, A., Gleicher, F., Boninger, D. S., & Edwards, C. S. (1994). The consideration of future consequences: Weighing immediate and distant outcomes of behavior. Journal of Personality and Social Psychology, 66(4), 742–752. https://doi.org/10.1037/0022-3514.66.4.742
Seema, R., Heidmets, M., Konstabel, K., & Varik-Maasik, E. (2022). Development and validation of the digital addiction scale for teenagers (DAST). Journal of Psychoeducational Assessment, 40(2), 293–304. https://doi.org/10.1177/07342829211056394
Sun, D. L., Chen, Z. J., Ma, N., Zhang, X. C., Fu, X. M., & Zhang, D. R. (2009). Decision-making and prepotent response inhibition functions in excessive internet users. CNS Spectrums, 14(2), 75–81. https://doi.org/10.1017/S1092852900000225
Wan, J. J., Zhang, Y. F., & Zhao, J. F. (2021). The relationship between sense of security and learning engagement of rural left-behind junior high students: The chain mediating role of academic self-efficacy and Internet addiction. Chinese Journal of Special Education, 257(11), 83–89. https://doi.org/10.3969/j.issn.1007-3728.2021.11.013
Wang, L., Liu, H. C., Li, Z. Q., & Du, W. (2007). Reliability and validity of emotion regulation questionnaire chinese revised version. China Journal of Health Psychology, 15(6), 503–505. https://doi.org/10.3969/j.issn.1005-1252.2007.06.034
Wang, M. Z., Fan, C. Y., Zhou, Z. K., & Chen, W. (2014). Parental conflict affects adolescents’ depression and social anxiety: Based on cognitive-contextual and emotional security theories. Acta Psychologica Sinica, 46(01), 90–100. https://doi.org/10.3724/SP.J.1041.2014.00090
Yang, Y. M., Wang, J. W., & Sun, S. Y. (2020). Influence of future orientation on academic procrastination in middle school students:The mediating role of emotional resilence. China Journal of Health Psychology, 28(07), 1077–1081. https://doi.org/10.13342/j.cnki.cjhp.2020.07.027
Ye, J. H., Wu, Y. T., Wu, Y. F., Chen, M. Y., & Ye, J. N. (2022). Effects of short video addiction on the motivation and well-being of chinese vocational college students. Frontiers in Public Health, 10, Article 847672. https://doi.org/10.3389/fpubh.2022.847672
Yen, J. Y., Ko, C. H., Yen, C. F., Wu, H. Y., & Yang, M. J. (2007). The comorbid psychiatric symptoms of Internet addiction: Attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. Journal of Adolescent Health, 41(1), 93–98. https://doi.org/10.1016/j.jadohealth.2007.02.002
Young, K. (1998). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology & Behavior, 1(3), 237–244. https://doi.org/10.1089/cpb.1998.1.237
Yue, P. F., Hu, W. L., Zhang, J. X., & Shi, M. M. (2022). Harsh parenting and learning engagement among middle school students: The role of state anxiety and gender. Studies of Psychology and Behavior, 20(2), 226–232. https://doi.org/10.12139/j.1672-0628.2022.02.012
Yue, P. F., Zhang, M., & Wei, H. (2020). Effect of childhood maltreatment on Internet addiction: The role of mindfulness and resilience. Chinese Journal of Clinical Psychology, 28(6), 1144–1147+1151. https://doi.org/10.16128/j.cnki.1005-3611.2020.06.013
Zan, L. L., Liu, B. L., & Liu, Z. X. (2008). Development of Internet addiction disorder diagnostic scale for middle school students. Chinese Journal of Clinical Psychology, 16(2), 123–125. https://doi.org/10.3969/j.issn.1005-3611.2008.02.004
Zhen, R., Liu, R. D., Ding, Y., Wang, J., Liu, Y., & Xu, L. (2017). The mediating roles of academic self-efficacy and academic emotions in the relation between basic psychological needs satisfaction and learning engagement among Chinese adolescent students. Learning and Individual Differences, 54, 210–216. https://doi.org/10.1016/j.lindif.2017.01.017
Zhao, L. J., Yu, J. J., & Zhao, S. Y. (2021). A nudge study on future orientation of adolescents with problematic online games use. Journal of Psychological Science, 44(6), 1483–1490. https://doi.org/10.16719/j.cnki.1671-6981.20210628
Zhao, X., Li, Y. Y., Jin, J., & Jin, G. (2016). Boring tendency and learning burnout: The mediating effect of emotion regulation strategies. Chinese Journal of Clinical Psychology, 24(1), 64–68. https://doi.org/10.16128/j.cnki.1005-3611.2016.01.015
Zhou, H., & Long, L. (2004). Statistical test and control method of common method deviation. Advances in Psychological Science, 12(6), 942–950.
Acknowledgements
It is acknowledged that the Authors used ChatGPT to assist with linguistic refinement of the manuscript during the revision process (https://chat.openai.com/).
Funding
The authors received no financial support for the research, authorship, and/or publication of this article.
Author information
Authors and Affiliations
Contributions
Xidan Xiao: research design, paper writing, data analysis, revise and rectify formatting, align grammar.
Jiahan Cai: paper writing, format proofreading.
Quiyu Yang: data collection, data collation.
Corresponding author
Ethics declarations
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and or national research committee (the Academic Ethics Committee of Fujian Normal University, China.)
Competing interests
The authors declare no conflict of interest.
We maintain the same order of authors in the submission system as provided in the manuscript.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Xiao, X., Cai, J. & Yang, Q. The relationship between internet addiction and adolescent learning engagement: the role of future orientation and cognitive reappraisal. Curr Psychol 43, 23103–23114 (2024). https://doi.org/10.1007/s12144-024-05982-x
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12144-024-05982-x