Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 39 min ago
Peer-reviewedCC BY 4.0PLOS One

Impact of social media platforms excessive use on students performance in higher education institutions: A mathematical model approach

4 affiliations
  1. 1Department of Mathematics and Applied Mathematics, University of the Free State, QwaQwa Campus, Phuthaditjhaba, South Africa
  2. 2Centre Universitaire Polytechnique de Kaya, Université Joseph KI-Zerbo, Laboratoire de Mathématiques et Informatique, Ouagadougou, Burkina Faso
  3. 3Department of Physics, University of the Free State, QwaQwa Campus, Phuthaditjhaba, South Africa
  4. 4Department of Mathematical Sciences, University of Zululand, KwaDlangezwa, South Africa

Abstract

This article develops a compartmental mathematical model to investigate the impact of excessive social media use on the academic performance of higher education students. Students who are heavily subscribed are classified ‘infected or addicted’ individuals. Their influence on the other naive non-subscribers leading them to become one and by self-curiosity are defined as direct and indirect transmission routes, respectively. The model incorporates two primary control interventions: early awareness programs and continuous regulation of accessibility. Qualitative and numerical analyses of the model dynamics are thus carried out investigating the effectiveness and the benefits of these control measures. The results suggest that a combined strategy, implementing both control interventions at optimal efficacy levels, significantly reduces the ‘addiction’ rate, thereby fostering a healthier academic environment and promising a prospective academic performance from the students.

Related

  1. Recurrent and system-specific model-attribution patterns in PISA 2022 science performance across nine education systems
    Meng Liu, Xin Bai, Xiaohong Li +2
    PLOS OnePeer-reviewedCC BY 4.0Full textNeurosciencePLOS
  2. Psychosocial Characteristics and Objective Performance in Immersive Virtual Reality: Associations of Social Support, Psychological Distress, and Education with Psychomotor Speed and Cognitive Flexibility
    Panagiotis Kourtesis, Lydia Asimakopoulou, Katerina Denaxa +2
    PsyArXivPreprintCC BY 4.0Full textNeuroscienceOSF
  3. Excessive sample reagent incubation time increases the risk of false rifampin resistance results in Xpert(R) MTB/RIF Ultra tests performed on paucibacillary Mycobacterium tuberculosis sputum.
    G. S. Chilambi, K. Modi, P. Rudra +3
    bioRxivPreprintAll rights reservedFull textMicrobiologybioRxiv
  4. HNRNPC-mediated RNA processing promotes VHL-associated excessive vasculogenesis in von Hippel-Lindau syndrome revealed from patient-derived blood vessel models
    H. Ito, I. Sato, M. Matsuo-Takasaki +11
    bioRxivPreprintAll rights reservedFull textCell biologybioRxiv
  5. Increased slow oscillatory activity in substantia nigra pars reticulata triggers abnormal involuntary movements in the 6-OHDA-lesioned rat in the presence of excessive extracelullar striatal dopamine
    Wassilios Meissner, Paula Ravenscroft, René Reese +8
    Neurobiology of DiseasePeer-reviewedLicence not stated150 citedNeuroscienceHAL
BibTeX
@article{afassinou2026impact,
  title = {{Impact of social media platforms excessive use on students performance in higher education institutions: A mathematical model approach}},
  author = {Komi Afassinou and Narcisse Roland Loufouma Makala and Ousmane Koutou and Richard O. Ocaya and Maba Boniface Matadi},
  journal = {PLOS One},
  year = {2026},
  month = oct,
  doi = {10.1371/journal.pone.0359301},
  url = {https://doi.org/10.1371/journal.pone.0359301},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Impact of social media platforms excessive use on students performance in higher education institutions: A mathematical model approach
AU  - Komi Afassinou
AU  - Narcisse Roland Loufouma Makala
AU  - Ousmane Koutou
AU  - Richard O. Ocaya
AU  - Maba Boniface Matadi
PY  - 2026
DA  - 2026/10/01
JO  - PLOS One
DO  - 10.1371/journal.pone.0359301
UR  - https://doi.org/10.1371/journal.pone.0359301
AB  - This article develops a compartmental mathematical model to investigate the impact of excessive social media use on the academic performance of higher education students. Students who are heavily subscribed are classified ‘infected or addicted’ individuals. Their influence on the other naive non-subscribers leading them to become one and by self-curiosity are defined as direct and indirect transmission routes, respectively. The model incorporates two primary control interventions: early awareness programs and continuous regulation of accessibility. Qualitative and numerical analyses of the model dynamics are thus carried out investigating the effectiveness and the benefits of these control measures. The results suggest that a combined strategy, implementing both control interventions at optimal efficacy levels, significantly reduces the ‘addiction’ rate, thereby fostering a healthier academic environment and promising a prospective academic performance from the students.
SN  - 1932-6203
ER  -