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Reflections of The Effect of Internet Addiction and Internet Gaming Disorder on Working Memory on The Learning Process

Yıl 2024, Cilt: 33 Sayı: 4, 249 - 261, 31.12.2024
https://doi.org/10.17827/aktd.1574086

Öz

With the development of technological opportunities and the spread of digital tools, internet addiction and internet gaming disorder have become a rapidly growing public health problem. These types of addictions, which deeply affect individuals of all age groups, can lead to more dramatic consequences in children and adolescents. Internet addiction and internet gaming disorder negatively affect both mental and physical health. One of the negative effects of internet addiction and internet gaming disorder is the damage it causes to working memory. Memory is a vital concept for learning. According to the information processing model, information is transferred to long-term memory after a series of processes and learning is completed. Working memory is a concept that has recently been added to approaches to learning and has critical importance in the learning process. Working memory develops in early childhood and almost completes its development in the primary school stage. Although it is often confused with short-term memory in the literature, it is a concept that also includes it. Deficiencies in working memory lead to learning disabilities. Working memory can be improved with interventions in early childhood. Working memory, which is of great importance for the individual's learning process, is affected by internet addiction and internet gaming disorder. When the literature is examined, it has been revealed that internet addiction and internet gaming disorder reduce the cognitive functions of the individual and significantly reduce the working memory capacity. In this review, the importance of working memory in the learning process is revealed and the effects of internet addiction and internet gaming disorder on working memory and the reflections of this situation on the learning process are examined in the literature.

Kaynakça

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İnternet Bağımlılığı ve İnternet Oyun Oynama Bozukluğunun Çalışma Belleğine Etkisinin Öğrenme Sürecine Yansımaları

Yıl 2024, Cilt: 33 Sayı: 4, 249 - 261, 31.12.2024
https://doi.org/10.17827/aktd.1574086

Öz

Teknolojik imkânların gelişmesi ve dijital araçların yaygınlaşmasıyla beraber internet bağımlılığı ve internet oyun oynama bozukluğu, günümüzde hızla büyüyen bir halk sağlığı problemi halini almıştır. Her yaş grubundan bireyi derinden etkileyen bu tür bağımlılıklar, çocuk ve ergenlerde daha dramatik sonuçlara yol açabilmektedir. İnternet bağımlılığı ve internet oyun oynama bozukluğu, hem ruh sağlığını hem de beden sağlığını olumsuz bir biçimde etkilemektedir. İnternet bağımlılığı ve internet oyun oynama bozukluğunun olumsuz etkilerinden biri çalışma belleği üzerinde oluşturduğu hasarlardır. Bellek öğrenme için hayati bir kavramdır. Bilgiyi işleme modeline göre bilgi bir dizi işlemden sonra uzun süreli belleğe aktarılır ve öğrenme tamamlanır. Çalışma belleği, öğrenmeyle ilgili yaklaşımlara son dönemde eklenmiş ve öğrenme sürecinde kritik bir öneme sahip bir kavramdır. Çalışma belleği, erken çocukluk döneminde gelişir ve ilkokul evresinde neredeyse gelişimini tamamlar. Literatürde sıklıkla kısa süreli bellekle karıştırılsa da onu da kapsayan bir kavramdır. Çalışma belleğindeki yetersizlikler öğrenme güçlüğüne yol açar. Çalışma belleği erken çocukluktaki müdahalelerle geliştirilebilir. Bireyin öğrenme süreci için büyük bir öneme sahip olan çalışma belleği, internet bağımlılığı ve internet oyun oynama bozukluğundan etkilenmektedir. Literatür incelendiğinde internet bağımlılığı ve internet oyun oynama bozukluğunun bireyin bilişsel işlevlerini azalttığı ve bununla beraber çalışma belleği kapasitesini önemli ölçüde azalttığı ortaya konmuştur. Bu derlemede çalışma belleğinin öğrenme sürecindeki önemi ortaya konmuş ve literatürde internet bağımlılığı ve internet oyun oynama bozukluğunun çalışma belleğine etkisi ve bu durumun öğrenme sürecine yansımaları incelenmiştir.

Kaynakça

  • 1.Ngetich R, Villalba-García C, Soborun Y, et al. Learning and memory processes in behavioural addiction: A systematic review. Neuroscience & Biobehavioral Reviews 2024; 163, 105747.
  • 2. Spear LP. Adolescent neurodevelopment. The Journal of Adolescent Health: Official Publication of The Society for Adolescent Medicine 2013; 52(2 Suppl 2): 7-13.
  • 3. Kanwal J, Jung Y, & Zhang M. Brain plasticity during adolescence: Effects of stress, sleep, sex and sounds on decision making. Anatomy & Physiology 2016; 6(1): e135.
  • 4. Weinstein A, Livny A, & Weizman A. New developments in brain research of internet and gaming disorder. Neuroscience & Biobehavioral Reviews 2017; 75: 314-330.
  • 5. Weinstein AM. An update overview on brain ımaging studies of ınternet gaming disorder. Frontiers in Psychiatry 2017; 8: 185.
  • 6. Choi J, Cho H, Kim JY, et al. Structural alterations in the prefrontal cortex mediate the relationship between Internet gaming disorder and depressed mood. Scientific Reports 2017; 7(1): 1245.
  • 7. Pan N, Yang Y, Du X, et al. Brain Structures Associated with Internet Addiction Tendency in Adolescent Online Game Players. Frontiers in Psychiatry 2018; 9: 67.
  • 8. Mohammadi B, Szycik GR, Te Wildt B, et al. Structural brain changes in young males addicted to video- gaming. Brain and Cognition 2020; 139: 105518.
  • 9. Du X, Qi X, Yang Y, et al. Altered structural correlates of impulsivity in adolescents with internet gaming disorder. Frontiers in Human Neuroscience 2016; 10: 4.
  • 10. Román FJ, Lewis LB, Chen CH, et al. Gray matter responsiveness to adaptive working memory training: A surface-based morphometry study. Brain Structure and Function 2016; 221: 4369-4382.
  • 11. Machizawa MG, Driver J, & Watanabe T. Gray matter volume in different cortical structures dissociably relates to individual differences in capacity and precision of visual working memory. Cerebral Cortex 2020; 30(9): 4759-4770.
  • 12. Bach P, Frischknecht U, Reinhard I, et al. Impaired working memory performance in opioid-dependent patients is related to reduced insula gray matter volume: A voxel-based morphometric study. European Archives of Psychiatry and Clinical Neuroscience 2021; 271: 813-822.
  • 13. Tereshchenko S, & Kasparov E. Neurobiological risk factors for the development of internet addiction in adolescents. Behavioral Sciences 2019; 9(6): 62.
  • 14. Zhang MW, Lim RB, Lee C, et al. Prevalence of internet addiction in medical students: A meta-analysis. Academic Psychiatry 2018; 42: 88-93.
  • 15. Shao YJ, Zheng T, Wang YQ, et al. Internet addiction detection rate among college students in the People’s Republic of China: A meta-analysis. Child and Adolescent Psychiatry and Mental Health 2018; 12(1): 1-10.
  • 16. Ögel K, Koç C, Başabak AZ, İşmen EM, Görücü S. Development of Addiction Profile Index (BAPI) Clinical Form: Reliability and validity study. Bağımlılık Dergisi 2015; 16(2): 57-69.
  • 17. Çınar ÇY, & Mutlu E. İnternet bağımlılığının benlik saygısı, dikkat, gelişmeleri kaçırma korkusu, yaşam doyumu ve kişilik özellikleri ile ilişkisi. Bağımlılık Dergisi 2019; 20(3): 133-142.
  • 18. Kurt Genç A, Avcı E. Binomial (Oran) verilerin Meta-Analizi: Türkiye’deki internet bağımlılık oranının belirlenmesi. Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi 2020; 13(3): 1050-1068.
  • 19. Karim AR, Nigar N. The internet addiction test: assessing its psychometric properties in Bangladeshi culture. Asian J Psychiatr 2014;10:75-83.
  • 20. Hassan T, Alam MM, Wahab A, et al. Prevalence and associated factors of internet addiction among young adults in Bangladesh. Journal of the Egyptian Public Health Association 2020; 95: 1-8.
  • 21. Young KS. Internet addiction: The emergence of a new clinical disorder. CyberPsychology & Behavior 1998; 1(3): 237-244.
  • 22. Chi X, Hong X, & Chen X. Profiles and sociodemographic correlates of Internet addiction in early adolescents in southern China. Addictive Behaviors 2020; 106: 106385.
  • 23. Kuss DJ, Kristensen AM, & Lopez-Fernandez O. Internet addictions outside of Europe: A systematic literature review. Computers in Human Behavior 2021; 115: 106621.
  • 24. Bayraktar F. Ergenlik Döneminde İnternet Kullanımının Rolü. Yüksek lisans Tezi. İzmir, Ege Üniversitesi, Sosyal Bilimler Enstitüsü, 2001.
  • 25. Karaca S, Uyanık E, Kenç M, et al. Ortaokul öğrencilerinde internet bağımlılığı ve depresif belirtiler. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi 2021; 12(2): 510-516.
  • 26. Onaral Danacı G., & Günseli Dereboy Ç. Lise öğrencilerinde problemli internet ve oyun kullanımının yaygınlığı. Humanistic Perspective 2023; 5(2): 797-819.
  • 27. Nasution FA, Effendy E, & Amin MM. Internet gaming disorder (IGD): A case report of social anxiety. Open Access Macedonian Journal of Medical Sciences 2019; 7(16): 2664-2666.
  • 28. American Psychiatric Association (APA). Diagnostic and Statistical Manual of Mental Disorders (DSM-5). 5th ed. Arlington: American Psychiatric Association, 2013, (pp.795).
  • 29. World Health Organization. International Classification of Diseases for Mortality and Morbidity Statistics (11th Revision), (2019). who.int/standards/classifications/frequently-asked-questions/gaming-disorder.
  • 30. Gentile D. Pathological video-game use among youth ages 8 to 18: A national study. Psychological Science 2009; 20(5): 594-602.
  • 31. Müller KW, Janikian M, Dreier M, et al. Regular gaming behavior and internet gaming disorder in European adolescents: results from a cross-national representative survey of prevalence, predictors, and psychopathological correlates. European Child & Adolescent Psychiatry 2015; 24: 565-574.
  • 32. Bingöl Karagöz D. İnternet bağımlılığı ve bilgisayar oyun bağımlılığı yaygınlığının, ilişkili etkenlerin incelenmesi. Uzmanlık Tezi. Kocaeli: Kocaeli Üniversitesi Tıp Fakültesi, 2017.
  • 33. Fam JY. Prevalence of internet gaming disorder in adolescents: A meta‐analysis across three decades. Scandinavian Journal of Psychology 2018; 59(5): 524-531.
  • 34. Pan YC, Chiu YC, & Lin YH. Development of the problematic mobile gaming questionnaire and prevalence of mobile gaming addiction among adolescents in Taiwan. Cyberpsychology, Behavior, and Social Networking 2019; 22(10): 662-669.
  • 35. Marufoğlu S. Ortaokul öğrencilerinde dijital oyun bağımlılığının fiziksel aktivite ve uyku alışkanlıklarına etkisinin araştırılması. Yüksek Lisans Tezi. İstanbul: İstanbul Medipol Üniversitesi Sağlık Bilimleri Enstitüsü, 2020.
  • 36. Rajab AM, Zaghloul MS, Enabi S, et al. Gaming addiction and perceived stress among Saudi adolescents. Addictive Behaviors Reports 2020; 11: 100261.
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  • 43. Alshammari TK, Rogowska AM, Alobaid AM, et al. Examining anxiety and insomnia in internship students and their association with internet gaming disorder. Journal of Clinical Medicine 2024; 13(14): 4054.
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  • 47. Yu J, Abdullah MFIL, & Mansor NS. EEG components of inhibitory control ability in internet gaming disorder: A systematic review and meta-analysis of randomized controlled trials. Brain and Behavior 2024; 14(1): e3388.
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  • 50. Chamarro A, Díaz-Moreno A, Bonilla I, et al. Stress and suicide risk among adolescents: The role of problematic internet use, gaming disorder and emotional regulation. BMC Public Health 2024; 24(1): 326.
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  • 53. Zhang M, Chi C, Liu Q, et al. Prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder among medical college students. Frontiers in Public Health 2024; 12: 1362121.
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  • 59. Doğan M. Çocuklarda çalışma belleği, akademik öğrenme ve öğrenme yetersizlikleri. Türk Psikoloji Yazıları 2011; 14(27): 48-65.
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  • 79. Schneider W, Lockl K, & Fernandez O. Interrelationships among theory of mind, executive control, language development, and working memory in young children: A longitudinal analysis. In W. Schneider, R. Schumann-Hengsteler, & B. Sodian (Eds.), Young children's cognitive development: Interrelationships among executive functioning, working memory, verbal ability, and theory of mind (pp.259-284). Lawrence Erlbaum Associates Publishers, 2005.
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  • 81. Akoğlu G, & Acarlar F. Gelişimsel dil bozukluklarında söz dizimi anlama ve sözel çalışma belleği ilişkisinin incelenmesi. Türk Psikoloji Dergisi 2014; 29(73): 89-103. 82. Peng P, & Fuchs D. A meta-analysis of working memory deficits in children with learning difficulties: Is there a difference between verbal domain and numerical domain? Journal of Learning Disabilities 2016; 49(1): 3-20.
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Toplam 84 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sağlık Hizmetleri ve Sistemleri (Diğer)
Bölüm Derleme
Yazarlar

Muhammed Yıldız 0000-0002-0760-2333

Lut Tamam 0000-0002-9750-7531

Yayımlanma Tarihi 31 Aralık 2024
Gönderilme Tarihi 26 Ekim 2024
Kabul Tarihi 26 Aralık 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 33 Sayı: 4

Kaynak Göster

AMA Yıldız M, Tamam L. İnternet Bağımlılığı ve İnternet Oyun Oynama Bozukluğunun Çalışma Belleğine Etkisinin Öğrenme Sürecine Yansımaları. aktd. Aralık 2024;33(4):249-261. doi:10.17827/aktd.1574086