Health Psychology Research / HPR / Online First / DOI: 10.14440/hpr.2696990
RESEARCH ARTICLE

Motivational Indicators and Academic Success in Students: The Impact of Fragmented Thinking

ZuoYuan Liu1* Viktoriya Samokhina2 Lilya Sabirova3
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1 College of Marxism, Beijing Institute of Technology, Beijing 100081, China
2 Department of Mathematics and Computer Science, Technical Institute, Northeastern Federal University, Neryungri, Sakha Republic (Yakutia) 678960, Russia
3 Department of Philosophy and Sociology, Yelabuga Institute of Kazan Federal University, Yelabuga, Republic of Tatarstan 423600, Russia
HPR 2025, 13(2), e81240014 https://doi.org/10.14440/hpr.2696990
Submitted: 31 March 2025 | Accepted: 5 April 2025 | Published: 23 June 2025
© 2025 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Background

A potential remedy for this situation is to integrate advancements in information technology with traditional methods of working with academic texts, using gadgets exclusively as supplementary sources of scientific knowledge.

Objective

The aim of the research is to develop an understanding of fragmented thinking in universities in Russia and Kazakhstan by surveying teachers and identifying optimal methods for influencing the reduction of students’ inclination toward fragmented thinking.

Methods

The study employed a population of 137 teachers and a random sample of 384 students from the 1st – 5th years. The research was conducted using surveys among faculty members and analysis of student performance indicators at the Institute of Foreign Languages of the Russian University of Friendship of Peoples and the Abai Kazakh National Pedagogical University (Almaty). The study included: (i) An analysis of the impact of motivational strategies on the tendency toward fragmented thinking, (ii) a correlation analysis between academic performance and the tendency for fragmented connections, and (iii) a theoretical and survey-based analysis of the positive and negative aspects of this type of thinking.

Results

The results demonstrate significant differences in the role of each motivational strategy in relation to fragmented thinking.

Conclusion

This study can enhance the understanding of the interaction between students and educators, mobile technologies, and social networks.

Keywords
Clip-based thinking
Digitalization
Education
Information society
Mosaic consciousness
Funding
None.
Conflict of interest
Authors declare that they have no competing interests.
References
[1]
  1. Winne PH. Learning analytics for self-regu­lated learning. In: Charles L, George S, Alyssa W, Dragan G, editors. Handbook of Learning Analytics. Beaumont: Society for Learning Analytics Research; 2017. p. 241-249. doi: 10.18608/hla17.021

 

  1. Malmberg J, Järvelä S, Järvenoja H. Capturing temporal and sequential pat­terns of self-, co-, and socially shared regula­tion in the context of collaborative learning. Contemp Educ Psychol. 2017;49:160-174. doi: 10.1016/j.cedpsych.2017.01.009

 

  1. Yelyakov AD. Good and evil: Burning paradox of the Internet. Philos Soc. 2011;2:58-76.

 

  1. Karr N. The Shallows: What the Internet is Doing to Our Brains. St. Petersburg: Best Biznes; 2012.

 

  1. Azevedo R, Taub M, Mudrick N. Understanding and reasoning about real-time cognitive, affective, and metacognitive processes to foster self-reg­ulation with advanced learning technologies. In: Schunk DH, Greene JA, editors. Handbook of Self-regulation of Learning and Performance. 2nd ed. New York: Routledge; 2017. p. 254-270. doi: 10.4324/9781315697048-17

 

  1. Blikstein P. Multimodal learning analytics. In: Suthers D, Verbert K, Duval E, Ochoa X, editors. Proceedings of the Third International Conference on Learning Analytics and Knowledge. New York: ACM; 2013. p. 102-106. doi: 10.1145/2460296.2460316

 

  1. Khalifeh G, Noroozi O, Farrokhnia M, Talaee E. Higher education students’ perceived readiness for computer-supported collaborative learning. MTI. 2020;4(2):11. doi: 10.3390/mti4020011

 

  1. Maklyuen M. The Gutenberg Galaxy: The Making of Typographic Man. Moscow: Akademicheskiy Proyekt; 2005.

 

  1. Semenovskikh TV. “Clip Thinking” - the Phenomenon of Modernity. The Academy of Media Industry and the Department of the Theory and Practice of Social Connectedness RSUH; 2016. Available from: http:// jarki.ru/wpress/2013/02/18/3208 [Last accessed on 2025 Mar 25].

 

  1. Frumkin KG. Clip Thinking and Fate of Linear Text. Topos; 2010. Available from: https://www. topos.ru/article/7371

 

  1. Kaldybekova R, Aksoy B, Abdymanapov B. Impact of activity-based map literacy skills teaching on academic achievement levels of sec­ondary school students in Kazakhstan. RIGEO. 2021;11(1):151-167. doi: 10.33403/rigeo.853728

 

  1. Yeremishin O. Aphorisms. In: Golden Fund of wisdom, Moscow: Prosveshcheniye; 2006.

 

  1. Kaldybekova R, Abdikarimova G, Myrzaliуеva Z, Abdimanapov B. Formation of high-level thinking in updating the content of geography in schools. Sci Her Uzhhorod Univ Ser Phys. 2024;55:326-335. doi: 10.54919/physics/55.2024.32di6

 

  1. Zagidullina MV. Information society in the con­text of the net-thinking. Bulletin of the Chelyabinsk State University. Philology series. 2012;63:48-50.

 

  1. Litvinova MB. The experience of diagnosing clip thinking. Pedagog Sci. 2017;76(3):140-145.

 

  1. Melnyk YB. Pedagogy of High School: In Diagrams and Tables. Kharkiv: KhOHOKZ; 2016.

 

  1. Khrenova V, Kuchak A, Tarangul L, Vasylyuk- Zaitseva S. Analyzing the role of clip thinking in the context of digitalization of the educational envi­ronment of the future. Fut Educ. 2023;3(2):43-54. doi: 10.57125/FED.2023.06.25.03

 

  1. Drozdova EA, Shuyskaya YV. Clip thinking and its influence the teaching methodology. KnE Soc Sci. 2021;2021:46-54. doi: 10.18502/kss.v5i2.8333

 

  1. D’Mello SK, Duckworth A, Dieterle E. Advanced, analytic, automated (AAA) measurement of engage­ment during learning. EP. 2017;57(2):104-123. doi: 10.1080/00461520.2017.1281747

 

  1. Klygunenko OM, Yekhalov VV, Kravets ОV, Kusch KO, Sedinkin VA. Klinicheskoeiklipovoemyshlenie v processeobu­chenijavrachej-internov [Clinical and clip think­ing in the process of training interns]. Emerg Med. 2018;6:12-23.

 

  1. Klygunenko OM, Yekhalov VV, Sliva VI, Stanin DM, Lyashchenko OV. Prospects for optimizing the train­ing of intern doctors in the module “Emergency Conditions”. Emerg Med. 2012;5(44):71-74.

 

  1. Kurayev A. The Clip Hostages of Thinking. Interview with Andrey Kurayev. Oxford: Regnum; 2004. Available from: http://www.rg.ru/2004/05/13/ kuraev.htm [Last accessed on 2025 Mar 25].

 

  1. Di Mitri D, Schneider J, Klemke R, Specht M, Drachsler H. Read between the lines: An annotation tool for multimodal data for learning. In: Hsiao S, Cunningham J, McCarthy K, Lynch G, editors. Proceedings of the 9th International Conference on Learning Analytics and Knowledge. New York: ACM; 2019. p. 51-60. doi: 10.1145/3303772.3303776

 

  1. Farrokhnia M, Pijeira-Díaz HJ, Noroozi O, Hatami J. Computer-supported collaborative con­cept mapping: The effects of different instructional designs on conceptual understanding and knowledge co-construction. Comput Educ. 2019;142:103640. doi: 10.1016/j.compedu.2019.103640

 

  1. Yekhalov VV, Stanin DM, Sedinkin VA, Khobotova NV. Optymizatsiia roboty molodoho vykladacha v protsesi pidhotovky likariv-interniv za riznymy fakhamy [Optimization of work of young teacher in the process of preparation of interns in different specialties]. South Ukrainian Med Acad J. 2016;13(13):76-78.

 

  1. Ernst K. When they say that the Internet will kill television, is foolish. Kommersant. 2011;192:4.

 

  1. Azevedo R, Gašević D. Analyzing multimodal multichannel data about self-regulated learning with advanced learning technologies: Issues and challenges. CHB. 2019;96:207-210. doi: 10.1016/j. chb.2019.03.025

 

  1. Prensky M. From Digital Natives to Digital Wisdom: Hopeful Essays for 21st Century Learning. Thousand Oaks, CA: Corwin Press; 2012.

 

  1. Chanel G, Mühl C. Connecting brains and bodies: Applying physiological computing to support social interaction. Interact Comput. 2015;27(5):534-550. doi: 10.1093/iwc/iwv013

 

  1. Magana AJ, Serrano MI, Rebello NS. A sequenced multimodal learning approach to support stu­dents’ development of conceptual learning. JCAL. 2019;35(4):516-528. doi: 10.1111/jcal.12356

 

  1. Yekhalov VV, Gorbuntsov VV, Sedinkin VA. Yakistt estov ykhzavdan - osnova obiektyvnosti litsenziinoho intehrovanoho ispytu [The quality of the test tasks is the basis of the objectivity of the licensed integrated exam]. IJES. 2019;2(2):67.

 

  1. Abdallah A, Ismail O, Abdallah RK, Alkaabi AM. Perceptions of students about the use of webinars in classrooms: A case of Abu Dhabi University. IJICTE. 2023;19(1):1-17. doi: 10.4018/IJICTE.322793

 

  1. Dror Y. Systems perspective: The dangers of fragmented thinking. In: Threat of Ballistic Missiles in the Middle East: Active Defense and Counter- Measures. United Kingdom: Liverpool University Press; 2004. p. 148.

 

  1. Mellamphy D. Fragmentality (thinking the fragment). Dalhousie French Stud. 1998;45:83-98.

 

  1. Ross S. Fragmented thinking. Postmod Cult. 1992;2(2):16. doi: 10.1353/pmc.1992.0016

 

  1. Shipunova OD, Deniskov AV. Subculture of the information society: Interaction design in indus­trial environments. Issues Cult Stud. 2014;6:87-91.

 

  1. Carrigan M. Flourishing or fragment­ing amidst variety: And the digitalization of the archive. In: Morphogenesis and Human Flourishing. Cham: Springer; 2017. p. 163-183. doi: 10.1007/978-3-319-49469-2_8

 

  1. Luo Y. New connectivity in the fragmented world. J Int Bus Stud. 2022;53(5):962-980. doi: 10.1057/s41267-022-00530-w

 

  1. Kogan YI. Reading needs to be protected. Univ Book. 2005;11:28-31.

 

  1. Barakaev M, Shamshiev A, Shodiev S, Baxramov S, G’iyosova Z. Factors for developing stu­dents’ critical thinking skills in the process of teach­ing mathematics. Am J Appl Sci. 2020;2(7):28-34. doi: 10.37547/tajas/volume02issue07-05
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