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An Adaptive Approach of Natural Language Processing (NLP) to Predict Aggressive Behavior of Adults in Educational Institution

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Recent Trends in Educational Technology and Administration ( EduTA 2022)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 31))

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Abstract

The paper examines why college students are aggressive. Data for the study were obtained from university professors through a questionnaire. Digital education has been transformed by natural language processing technology. Online literacy programs are increasingly incorporating NLP (Natural Language Process). In the modern age, NLP is being used for various educational tasks, including essay grading and feedback, student behavior, and example generation. The results show that boys use foul language and are involved in destructive activities compared to girls who were rarely observed in bad language or physical fights. The major causes of this include negative families or homes (parent and divorced and family issues), gross behavior of parents, dictatorial or mistaken teaching behavior, poor teacher/student contact, study pressure, unfriendly interpersonal relationships, and social injustices. The finding shows that there is no freedom of choice in the choice of subjects that makes boys aggressive and the gender-based society makes girls aggressive. Aggressive behavior of students in college should be addressed with the highest priority by organizing counseling services for students at the college level to provide psychotherapy for the relaxation of aggressive behavior. Parents’ roles at home and interactions with teachers, strong teacher-student interactions, and cooperative learning activities for students will be a significant strength towards better educational future.

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References

  1. S.L. Chew, W.J. Cerbin, The cognitive challenges of effective teaching. J. Econ. Educ. 52(1), 17–40 (2021). https://doi.org/10.1080/00220485.2020.1845266

    Article  Google Scholar 

  2. B. Hu et al., A pilot study of Global ICT strategy applications in sustainable continuing education. Procedia Comput. Sci. 183, 849–855 (2021). https://doi.org/10.1016/j.procs.2021.03.009

    Article  Google Scholar 

  3. I. Giannopoulou, M. Kotopoulea-Nikolaidi, S. Daskou, K. Martyn, A. Patel, Mindfulness in eating is inversely related to binge eating and mood disturbances in university students in health-related disciplines. Nutrients 12(2), 396 (2020). https://doi.org/10.3390/nu12020396

    Article  Google Scholar 

  4. C.C. Chuang, W.M. Reinke, K.C. Herman, Effects of a universal classroom management teacher training program on elementary children with aggressive behaviors. Sch. Psychol. (2020). https://doi.org/10.1037/spq0000351

    Article  Google Scholar 

  5. M. Ainscow, K. Messiou, Engaging with the views of students to promote inclusion in education. J. Educ. Chang. 19(1), 1–17 (2018). https://doi.org/10.1007/s10833-017-9312-1

    Article  Google Scholar 

  6. H. Goren, M. Yemini, Citizenship education redefined—a systematic review of empirical studies on global citizenship education. Int. J. Educ. Res. 82, 170–183 (2017). https://doi.org/10.1016/j.ijer.2017.02.004

    Article  Google Scholar 

  7. K. Vuorinen, A. Erikivi, L. Uusitalo-Malmivaara, A character strength intervention in 11 inclusive Finnish classrooms to promote social participation of students with special educational needs. J. Res. Spec. Educ. Needs 19(1), 45–57 (2019). https://doi.org/10.1111/1471-3802.12423

    Article  Google Scholar 

  8. E. Hopper, A. Weyman, A sociological view of large groups, in The Large Group: Dynamics and Therapy (Taylor and Francis, 2019), pp. 159–189

    Google Scholar 

  9. A. Karinen, J. Tybur, R. de Vries, The disgust traits: self-other agreement in pathogen, sexual, and moral disgust sensitivity and their independence from HEXACO personality (2019). https://doi.org/10.31234/osf.io/dymqk

  10. S.I. Benn, Privacy, freedom, and respect for persons, in Privacy and Personality (Taylor and Francis, 2017), pp. 1–26

    Google Scholar 

  11. A. Akram et al., A pilot study on survivability of networking based on the mobile communication agents. Int. J. Netw. Secur. 23(2), 220–228 (2021). https://doi.org/10.6633/IJNS.202103_23(2).04

    Article  Google Scholar 

  12. M.S. Stanford, R.J. Houston, C.W. Mathias, N.R. Villemarette-Pittman, L.E. Helfritz, S.M. Conklin, Characterizing aggressive behavior. Assessment 10(2), 183–190 (2003). https://doi.org/10.1177/1073191103010002009

    Article  Google Scholar 

  13. S.A. Haider et al., The inclusive analysis of ICT ethical issues on healthy society: a global digital divide approach. Procedia Comput. Sci. 183, 801–806 (2021). https://doi.org/10.1016/j.procs.2021.03.001

    Article  Google Scholar 

  14. S.M.A. Shah et al., A quantum spatial graph convolutional network for text classification. Comput. Syst. Sci. Eng. 36(2), 369–382 (2021)

    Google Scholar 

  15. A. Murthy et al., Internet of Things, a vision of digital twins and case studies, in IoT and Spacecraft Informatics (Elsevier, 2022), pp. 101–127

    Google Scholar 

  16. F. Abasiubong, T. Abiola, O. Udofia, A comparative study of aggression amongst Nigerian University students in Niger delta region. Psychol. Heal. Med. 16(1), 86–93 (2011). https://doi.org/10.1080/13548506.2010.507775

    Article  Google Scholar 

  17. E. Kikas, K. Peets, K. Tropp, M. Hinn, Associations between verbal reasoning, normative beliefs about aggression, and different forms of aggression. J. Res. Adolesc. 19(1), 137–149 (2009). https://doi.org/10.1111/j.1532-7795.2009.00586.x

    Article  Google Scholar 

  18. B. Hu, S.M. Noman, M. Irshad, An essential vigilance analysis on security of web applications, in International Conference on Wireless Communications and Applications (Springer, Singapore, 2022), pp. 92–97

    Google Scholar 

  19. C.N. Gundry et al., Base-pair neutral homozygotes can be discriminated by calibrated high-resolution melting of small amplicons. Nucl. Acids Res. 36(10), 3401–3408 (2008). https://doi.org/10.1093/nar/gkn204

    Article  Google Scholar 

  20. M.N. Sohail et al., Group covariates assessment on real-life diabetes patients by fractional polynomials: a study based on logistic regression modeling. J. Biotech Res. 10, 116–125 (2019)

    Google Scholar 

  21. A.H. Buss, M. Perry, The aggression questionnaire (1992), https://psycnet.apa.org/buy/1993-00039-001. Accessed 19 June 2021

  22. B. Hu et al., Run-time prediction practices of multimedia web design in technology management, in 3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning (Springer, Singapore, 2021), pp. 179–186

    Google Scholar 

  23. W.R. Best, J.M. Becktel, J.W. Singleton, F. Kern, Development of a Crohn’s disease activity index: National Cooperative Crohn’s Disease Study. Gastroenterology 70(3), 439–444 (1976). https://doi.org/10.1016/S0016-5085(76)80163-1

    Article  Google Scholar 

  24. M. Sohail, M. Uba, M. Irshad, S. Abir, Why only data mining? A pilot study on inadequacy and domination of data mining technology (2018), https://www.researchgate.net/profile/Shake_Abir/publication/343809206_WHY_ONLY_DATA_MINING_A_PILOT_STUDY_ON_INADEQUACY_AND_DOMINATION_OF_DATA_MINING_TECHNOLOGY/links/5f40bb21299bf13404df6808/WHY-ONLY-DATA-MINING-A-PILOT-STUDY-ON-INADEQUACY-AND-DOMINATION-OF-DATA-MINING-TECHNOLOGY.pdf. Accessed 19 June 2021

  25. S. Aziz et al., Protection of a smart grid with the detection of cyber-malware attacks using efficient and novel machine learning models. Front. Energy Res. 1102 (2022)

    Google Scholar 

  26. W. Balemans et al., Identification of a 52 kb deletion downstream of the SOST gene in patients with van Buchem disease. jmg.bmj.com. https://doi.org/10.1136/jmg.39.2.91

  27. X. Contributions to the mathematical theory of evolution. —II. Skew variation in homogeneous material, Philos. Trans. R. Soc. London. 186, 343–414 (1895). https://doi.org/10.1098/rsta.1895.0010

  28. D. Hitchcock, G. Hitchcock, D. Hughes, Research and the Teacher: A Qualitative Introduction to School-Based Research (1995)

    Google Scholar 

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Acknowledgements

We would like to thank DG Khan University in Pakistan for allowing us to conduct this educational study, also this paper is supported by Ideological and Political Project of Changsha Normal University (CSSY202109).

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Authors and Affiliations

  1. Changsha Normal University, Changsha, China

    Bin Hu & Liying Hu

  2. Department of Education, Gomal University, Dera Ismail Khan, Pakistan

    Qurat ul Ain

  3. Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China

    Muhammad Irshad

  4. Department of Management Sciences, International Islamic University, Islamabad, Pakistan

    Ifrah Malik

  5. Yanshan University, Qinhuangdao, China

    Sohail M. Noman

  6. INTERSCIENCE Institute of Management and Technology (IIMT), Bhubaneswar, India

    Srikanta Patnaik

Authors
  1. Bin Hu
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  2. Qurat ul Ain
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  3. Muhammad Irshad
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  4. Ifrah Malik
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  5. Sohail M. Noman
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  6. Srikanta Patnaik
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  7. Liying Hu
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Corresponding authors

Correspondence to Qurat ul Ain or Muhammad Irshad .

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Editors and Affiliations

  1. Interscience Institute of Management and Technology, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  2. Erasmus University Rotterdam, Rotterdam, The Netherlands

    Fred Paas

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Hu, B. et al. (2023). An Adaptive Approach of Natural Language Processing (NLP) to Predict Aggressive Behavior of Adults in Educational Institution. In: Patnaik, S., Paas, F. (eds) Recent Trends in Educational Technology and Administration. EduTA 2022. Learning and Analytics in Intelligent Systems, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-031-29016-9_7

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  • DOI: https://doi.org/10.1007/978-3-031-29016-9_7

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  • Online ISBN: 978-3-031-29016-9

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