الفجوة الجيلية في استخدام المنصات الرقمية: التحوّلات السلوكية بين المراهقين والشباب في ظلّ صعود الذكاء الاصطناعي- دراسة ميدانية مقارنة

نوع المستند : المقالة الأصلية

المؤلف

جامعة دمنهور کلية الآداب

المستخلص

تتمثل مشكلة الدراسة في تسليط الضوء على الفجوة الجيلية بين المراهقين والشباب في استخدام المنصات الرقمية، مع التركيز على أنماط الاستخدام والتحولات السلوكية وتأثيرها على العلاقات الاجتماعية، إضافة إلى استكشاف توجهات كل من المراهقين والشباب تجاه مستقبل الذكاء الاصطناعي، وقد اعتمدت الدراسة على منهجية مقارنة لدراسة الفروقات بين الفئتين، من خلال استقصاء ميداني شمل عينة تضم 400 فرد، تم تقسيمهم بالتساوي بين المراهقين (من 13 إلى 18 عامًا) والشباب (من 18 إلى 23 عامًا).
وأظهرت النتائج وجود فروق دالة إحصائيًا في عدد ساعات استخدام المنصات الرقمية بين الفئتين، حيث لوحظ أن المراهقين يميلون إلى استخدام هذه المنصات لمدة معتدلة تتراوح بين 4 إلى 6 ساعات يوميًا، بينما سجل الشباب استخدامًا مكثفًا يصل إلى أكثر من 6 ساعات يوميًا، كما كانت منصة TikTok الأكثر تفضيلًا بين الفئتين، يليها Facebook  وInstagram  وYouTube ، ومع ذلك، كانت هناك بعض الفروقات بين المراهقين والشباب في تفضيل المنصات، حيث تميز المراهقون بتفضيل Instagram  وSnapchat، بينما كان الشباب يفضلون Facebook  وTelegram.
من حيث الدوافع، أظهرت النتائج تفوق الدوافع المعرفية التي تتعلق بتوسيع المعرفة وتعلم المهارات لدى الفئتين، يليها الدوافع الاجتماعية التي تشمل التواصل مع الأصدقاء والعائلة، ثم الترفيهية والنفسية، ورغم أن المراهقين أظهروا رغبة أكبر في التفاعل السلبي مع المحتوى (التصفح دون تفاعل مباشر)، فإن كلتا الفئتين أبدتا تفاعلًا متوسطًا مع المحتوى من خلال الإعجابات والتعليقات والمشاركات، وفيما يتعلق بالوعي باستخدام أدوات الذكاء الاصطناعي، فقد أظهرت النتائج أن 73% من المراهقين لديهم فهم جيد لتقنيات الذكاء الاصطناعي بينما بلغت النسبة بين الشباب 44.5%، وهذا يعكس اهتمام المراهقين بشكل أكبر باستخدام أدوات الذكاء الاصطناعي.
 

الكلمات الرئيسية

الموضوعات الرئيسية


  1. - Al-Shami, A. (2022). muhadadat zahirat alfajwat alraqamiat watathiratuha aliajtimaeiat fi almujtamae almisrii. almajalat alearabiat libuhuth alaelam waliaitisal, 39(3),48-79. doi: 10.21608/jkom.2022.287277

    - Al-Shammari, J. (2023). al'umiyat alraqamiat waealaqatuha bialeuzlat alaijtimaeiat ladaa kibar alsuna. majalat mustaqbal aleulum al'iijtimaeiati, 12(1), 165-208. doi: 10.21608/fjssj.2023.182826.1124.

    - Al-Shahri, N. (2020). 'athar aistikhdam wasayil altawasul alaijtimaeii ealaa alealaqat al'usariat bayn talibat aljamieati. majalat al'iielam walaitisali, 12(3), 55- 72 .

    - Al-Ajami, D. (2024). zahirat alfajwat bayn al'ajyal fi masri. muntadaa aldirasat almustaqbaliati,wahdat albuhuth waldirasat 3(1), 1-36.

    - Al-Yamani, T. (2023). tafaeul alshabab almisrii mae wasayil al'iielam alraqmiat watathiratiha fi qubul tiknulujia aldhaka' alaistinaeii ladayhim. almajalat aleilmiat libuhuth al'iidhaeat waltilfizyuni, 25(1), 489- 529. doi: 10.21608/ejsrt.2023.302423

    - Bakr, M. (2020). alealaqat bayn al'ajyal: 'asbab alkhilaf waturuq taeziz alwiaama. majalat alhikmati, 12(1).

    - Jalal, H. (2023). tatbiqat aldhaka' alaistinaeii fi altaelimi: furas wamakhatir min manzur alsiyasat altaelimiat fi misr walsaeudiat wahungh kungh. majalat alsiyasat altarbawiati, 18(2), 112- 130.

     https://journals.ekb.eg/article_321271_2caab94ce407ed9c345cfc357dccec7d.pdf

    -jameiat aliajtimaeiiyn aleumany. (2020). 'athar aistikhdam al'atfal liwasayil altawasul alaijtimaeii ealaa altanshiat alaijtimaeiati: taqrir bihathi. masqat: saltanat euman.

     https://portal.mosd.gov.om/webcenter/content/conn/WebCenterSpaces-ucm/path/Enterprise%20Libraries/MOSDExternalPortal/Publications/socialstudies/29.pdf

    - Shasha'a, S. (2024). 'athar aistikhdam alminasaat alraqamiat watatbiqat aldhaka' alaistinaeii fi ‏aiktisab maharat alriyadiaat waziadat dafieiat altaalibat nahw altaealum ‏bialsafu althaani eashar aleam bimadrasat ruqayat althaanawiat lilbanati. almajalat alearabiat liltarbiat alnaweiati, 34(8), 1-22. doi: 10.21608/ejev.2024.390719

    - Abdel Hakim, A. (2019). 'anmat tafaeul alshabab almisrii mae shabkat altawasul alaijtimaeii waealaqatiha bihuiatihim althaqafiati. almajalat almisriat libuhuth alra'aa aleama, 18(1), 443-473 . doi: 10.21608/joa.2019.91768

    - Abdel Karim, N. (2024). tathir tiqniaat aldhaka' alaistinaeii ealaa aistihdaf watashkil tawajuhat alshabab almisrii nahw qadaya alraay aleami: dirasat maydaniatan lilshabab wara' alkhubara' fi al'iielam waldhaka' alaistinaeii. majalat albuhuth al'iielamiati,72(4), 2415 -2504. doi: 10.21608/jsb.2024.318400.1808.

    - Abdel-Malik, H. (2023). mumarasat al'aleab al'iiliktruniat waealaqatiha bialkafa'at aliaijtimaeiat ladaa almurahiqina. majalat kliat altarbiat faa aleulum alnafsiati,47(2), 221-270. doi: 10.21608/jfeps.2023.312257

    - Abdul Majeed, W. (2022). aljil "Z" wamustaqbal alfajwat bayn al'ajyal. afaq aijtimaeiatin, markaz almaelumat wadaem aitikhadh alqarar majlis alwuzara'i, 12(3).

    1. https://idsc.gov.eg/upload/DocumentLibrary/AttachmentA/7094/%D8%AF.%20%D9%88%D8%AD%D9%8A%D9%80%D9%80%D9%80%D8%AF%20%D8%B9%D8%A8%D8%AF%20%D8%A7%D9%84%D9%85%D8%AC%D9%8A%D9%80%D9%80%D9%80%D8%AF.pdf

    - Assaf, D. (2021). atijahat almurahiqin nahw astikhdam alminasaat altaelimiati: dirasatan fi 'iitar nazariat thara' wasayil al'iielami. majalat buhuth alealaqat aleamat alsharq al'awsat, 47(2), 641-694.

    https://search.emarefa.net/detail/BIM-1418464

    - Ghandour, S. (2016). astikhdam alshabab aljamieii limawaqie altawasul aliajtimaeii wal'iishbaeat almutahaqiqat minha "dirasat maydaniati". majalat kliat altarbiat alnaweiat - jamieat bursaeid, 3(3), 182-210 . doi: 10.21608/pssrj.2016.33224

    - Youssef, M. (2023). 'iidman alhawatif aldhakiat waealaqatih bialqalaq aliajtimaeii walshueur bialwahdat alnafsiat ladaa tulaab aljamieati. majalat kliat altarbiat faa aleulum alnafsiata, 47(3), 177 - 262 . doi: 10.21608/jfeps.2023.327350

    1. Aidalil.com. (2025). Google Workspace: 93% of Gen Z use AI tools weekly. Retrieved from https://aidalil.com/google-workspace-93-of-gen-z-use-ai-tools-weekly/
    2. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
    3. Al-Menayes, J. J. (2023). The effect of short-form video addiction on undergraduates' academic procrastination: The mediating role of attentional control and the moderating role of boredom proneness. Frontiers in Psychology, 14, Article 10756502.

    https://doi.org/10.3389/fpsyg.2023.10756502

    1. Arnett, J. J. (1999). Adolescent storm and stress, reconsidered. American Psychologist, 54(5), 317–326. https://doi.org/10.1037/0003-066X.54.5.317
    2. Bengtson, V. L. (1970). Generation and family effects in value socialization. American Sociological Review, 35(3), 358–371.

    https://doi.org/10.2307/2093032

    1. Bennett, S., Maton, K., & Kervin, L. (2008). The ‘digital natives’ debate: A critical review of the evidence. British Journal of Educational Technology, 39(5), 775–786.

    https://doi.org/10.1111/j.1467-8535.2007.00793.x

    1. Bolton, R. N., Parasuraman, A., Hoefnagels, A., Migchels, N., Kabadayi, S., Gruber, T., Komarova Loureiro, Y., & Solnet, D. (2013). Understanding Generation Y and their use of social media: A review and research agenda. Journal of Service Management, 24(3), 245–267.

    https://doi.org/10.1108/09564231311326987

    1. Bhat, R & Kowshik, S & Suresh, S & Alamelu, G & Gite, S & Albattat, A. (2025). Digital Companionship or Psychological Risk? The Role of AI Characters in Shaping Youth Mental Health. Asian Journal of Psychiatry. 104. 104356. 10.1016/j.ajp.2024.104356.
    2. Bucher, T. (2018). If... Then: Algorithmic power and politics. Oxford University Press. https://doi.org/10.1093/oso/9780190493028.001.0001
    3. Chan, C. K. Y., & Lee, K. K. W. (2023). The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers? Smart Learning Environments, 10(1), Article 60. https://doi.org/10.1186/s40561-023-00269-3
    4. Floridi, L. (2021). The ethics of artificial intelligence. Oxford University Press. https://doi.org/10.1093/oso/9780198833635.001.0001
    5. George, M. J., Russell, M. A., Piontak, J. R., & Odgers, C. L. (2020). Concurrent and subsequent associations between daily digital technology use and high-risk adolescents' mental health symptoms. Child Development, 89(1), 78–88. https://doi.org/10.1111/cdev.12819
    6. Hargittai, E. (2002). Second-level digital divide: Differences in people's online skills. First Monday, 7(4). https://doi.org/10.5210/fm.v7i4.942
    7. Hargittai, E., & Hsieh, Y. P. (2013). Digital inequality. In W. H. Dutton (Ed.), The Oxford Handbook of Internet Studies (pp. 485–502). Oxford University Press.

    https://doi.org/10.1093/oxfordhb/9780199589074.013.0025

    1. Helsper, E. J., & Eynon, R. (2010). Digital natives: Where is the evidence? British Educational Research Journal, 36(3), 503–520.

    https://doi.org/10.1080/01411920902989227

    1. Brisson J, Bélisle-Pipon JC, Ravitsky V. Investigating the Influence of Artificial Intelligence on Adolescent Health: An Urgent Call to Action. J Adolesc Health. 2023 Oct;73(4):795. doi: 10.1016/j.jadohealth.2023.06.002. PMID: 37716717.
    2. Iqbal, A & Iftikhar, M & Hussain, T. (2024). Impact Of Social Media Use On The Mental Health Of University Students. Migration Letters. 21. 1848-1862.

    https://www.researchgate.net/publication/378874589_Impact_Of_Social_Media_Use_On_The_Mental_Health_Of_University_Students

    1. Jiao, Y., Li, G., & Wu, T. (2024). Effects of short-form video app addiction on academic anxiety and academic engagement: The mediating role of mindfulness. Frontiers in Psychology, 15, Article 1428813. https://doi.org/10.3389/fpsyg.2024.1428813
    2. Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. Public Opinion Quarterly, 37(4), 509–523.

    https://doi.org/10.1086/268109

    1. Katz, J & Rice, R. (2002). Social Consequences of Internet Use. Access, Involvement, and Interaction. 10.2307/1556636.
    2. Kirschner, P. A., & De Bruyckere, P. (2017). The myths of the digital native and the multitasker. Teaching and Teacher Education, 67, 135–142.

    https://doi.org/10.1016/j.tate.2017.06.001

    1. Lin, J., Chen, S., & Zhao, Y. (2024). On the relationship between mind perception and social support of AI chatbots. Frontiers in Psychology, 15, Article 1282036.

    https://doi.org/10.3389/fpsyg.2024.1282036

    1. Livingstone, S., & Helsper, E. J. (2007). Gradations in digital inclusion: Children, young people, and the digital divide. New Media & Society, 9(4), 671–696.

    https://doi.org/10.1177/1461444807080335

    1. Livingstone, S., & Sefton-Green, J. (2016). The class: Living and learning in the digital age. New York University Press.

    DOI:10.18574/nyu/9781479884575.001.0001

    1. Mansfield, K. L., Ghai, S., Hakman, T., Ballou, N., Vuorre, M., & Przybylski, A. K. (2025). From social media to artificial intelligence: Improving research on digital harms in youth. The Lancet Child & Adolescent Health, 9(3), 210–212. https://doi.org/10.1016/S2352-4642(24)00332-8
    2. McQuail, D. (2010). McQuail's mass communication theory (6th ed.). SAGE Publications.
    3. Nguyen, T., & Brown, L. (2024). Artificial Intelligence (AI) in Education: A Case Study on ChatGPT's Influence on Student Learning Behaviors. Journal of Educational Technology, 15(2), 45–60.
    4. Odgers, C. L., & Jensen, M. R. (2020). Adolescent development and growing divides in the digital age. Developmental Cognitive Neuroscience, 45, 100866.

    https://doi.org/10.1016/j.dcn.2020.100866

    1. Pew Research Center. (2022). Teens, social media and technology 2022. Retrieved from https://www.pewresearch.org/internet/2022/08/10/teens-social-media-and-technology-2022/
    2. Prensky, M. (2001a). Digital natives, digital immigrants part 1. On the Horizon, 9(5), 1–6. https://doi.org/10.1108/10748120110424816
    3. Prensky, M. (2001b). Digital natives, digital immigrants part 2: Do they really think differently? On the Horizon, 9(6), 1–6.

    https://doi.org/10.1108/10748120110424843

    1. Robinson, L., Cotten, S. R., Ono, H., Quan-Haase, A., Mesch, G., Chen, W., & Stern, M. J. (2015). Digital inequalities and why they matter. Information, Communication & Society, 18(5), 569–582.

    https://doi.org/10.1080/1369118X.2015.1012532

    1. Ruggiero, T. E. (2000). Uses and gratifications theory in the 21st century. Mass Communication & Society, 3(1), 3–37.

    https://doi.org/10.1207/S15327825MCS0301_02

    1. Russell, S. J., & Norvig, P. (2021). Artificial Intelligence: A modern approach (4th ed.). Pearson.
    2. Scheerder, A., van Deursen, A. J. A. M., & van Dijk, J. A. G. M. (2017). Determinants of Internet skills, uses, and outcomes: A systematic review of the second- and third-level digital divide. Telematics and Informatics, 34(8), 1607–1624.

    https://doi.org/10.1016/j.tele.2017.07.007

    1. Sundar, S. S., & Limperos, A. M. (2013). Uses and grats 2.0: New gratifications for new media. Journal of Broadcasting & Electronic Media, 57(4), 504–525.

    https://doi.org/10.1080/08838151.2013.845827

    1. Sundar, S. S., & Marathe, S. S. (2010). Personalization versus customization: The importance of agency, privacy, and power usage. Human Communication Research, 36(3), 298–322.

    https://doi.org/10.1111/j.1468-2958.2010.01377.x

    1. Taneja, H., Wu, A. X., & Edgerly, S. (2018). Rethinking the generational gap in online news use: An infrastructural perspective. New Media & Society, 20(5), 1792–1812.

    https://doi.org/10.1177/1461444817707348

    1. Twenge, J. M. (2017). iGen: Why today's super-connected kids are growing up less rebellious, more tolerant, less happy—and completely unprepared for adulthood—and what that means for the rest of us. Atria Books.
    2. Twenge, J. M. (2019). More time on technology, less happiness? Associations between digital-media use and psychological well-being. Current Directions in Psychological Science, 28(4), 372–379. https://doi.org/10.1177/0963721419838244
    3. United Nations (UN). (2013). Definition of youth. Retrieved from

    https://www.un.org/esa/socdev/documents/youth/fact-sheets/youth-definition.pdf

    1. Van Deursen, A. J. A. M., & Helsper, E. J. (2018). Collateral benefits of Internet use: Explaining the diverse outcomes of engaging with the Internet. New Media & Society, 20(7), 2333–2350. https://doi.org/10.1177/1461444817715282
    2. van Dijk, J. A. G. M. (2006). Digital divide research, achievements and shortcomings. Poetics, 34(4–5), 221–235. https://doi.org/10.1016/j.poetic.2006.05.004
    3. van Dijk, J. A. G. M. (2020). The Digital Divide. Polity Press.
    4. van Dijk, J. A. G. M., & Hacker, K. (2003). The digital divide as a complex and dynamic phenomenon. The Information Society, 19(4), 315–326.

    https://doi.org/10.1080/01972240309487

    1. Viner, R. M., Davie, M., & Firth, A. (2019). The health impacts of screen time: A guide for clinicians and parents. BMJ Open, 9(1), e023899.

    https://doi.org/10.1136/bmjopen-2018-023899

    1. Watson, C. (2024).. University of Alabama at Birmingham. Retrieved from

    https://digitalcommons.library.uab.edu/etd-collection/3838/

    1. West, D. M., Allen, J. R., & Huang, C. (2019). Artificial intelligence and the future of humans. Brookings Institution. Retrieved from https://www.brookings.edu/research/artificial-intelligence-and-the-future-of-humans/
    2. Whiting, A., & Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362–369.

    https://doi.org/10.1108/QMR-06-2013-0041

    1. Wolfson, A. (2023). Generational divides in technology adoption: Understanding age-related disparities in digital engagement. Medium. Retrieved from.

    https://medium.com/@lbadamstn/generational-divides-in-technology-adoptionunderstanding-age-related-disparities-in-digital-9c23dc0607ab

    1. World Health Organization (WHO). (2022). Adolescent health. Retrieved from

    https://www.who.int/news-room/fact-sheets/detail/adolescent-health

    1. World Health Organization (WHO). (2024). Adolescent mental health and screen time: A WHO report. Retrieved from https://www.who.int/publications/i/item/9789240062024
    2. Zhang, L., & Sun, H. (2025). Chinese adolescents' self-presentation on Douyin: Exploring digital identity construction. Frontiers in Psychology, 16, Article 1544224.

    https://doi.org/10.3389/fpsyg.2025.1544224

    1. Zhou, X., & Xie, Y. (2019). Market transition, industrialization, and social mobility trends in postrevolution China. American Journal of Sociology, 124(5), 1515–1550.

    https://doi.org/10.1086/701440