Critical thinking in environmental education through digital games among students
Vol 8, Issue 2, 2023, Article identifier:
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Abstract
Problematic video game playing (PVGP) in adolescents is associated with an array of mental and behavioral problems. Identifying the function of video game playing that are associated with poorer outcomes may provide a better understand of the problem so that adolescents can be helped to foster a healthier relationship with their devices. The aim of the present study is to assess whether sociodemographic factors, drug use, bullying victimization and perpetration, and mental health symptoms are associated with playing video games with the intent to alleviate problems among Brazilian eighth grade students. A cross-sectional survey nested in a cluster randomized controlled trial was used. The participants included 3939 eighth grade students who answered a self-report questionnaire anonymously. Weighted logistic regressions were used to investigate the associated factors. The results showed that 57% (CI = 55.85; 58.15) of these adolescents reported playing with an escapism function. Playing to forget or alleviate real life problems is associated with being male, using tobacco, bullying victimization and perpetration, healthy levels of prosocial behavior, and emotional symptoms; the strongest association was with emotional symptoms (OR = 1.98; 95% CI 1.73; 2.28). Playing video games as a form of escapism has been shown to be a relevant aspect for investigation among this population, as it is related to mental health symptomatology in adolescence. An understanding of these data through an experiential avoidance, within an acceptance and commitment perspective is suggested, since it may help broadening the understanding of the problems related to video game playing, its comorbidities and may have direct treatment implications.
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1. Woodhouse JL, Knapp CE. Place-based curriculum and instruction: Outdoor and environmental education approaches. Education Resources Information Center 2000.
2. Stanton D, Neale HR. The effects of multiple mice on children’s talk and interaction. Journal of Computer Assisted Learning 2003; 19(2): 229–238. doi: 10.1046/j.0266-4909.2003.00023.x
3. Durkin K, Barber B. Not so doomed: Computer game play and positive adolescent development. Journal of Applied Developmental Psychology 2002; 23(4): 373–392. doi: 10.1016/S0193-3973(02)00124-7
4. Hsiao HS, Chang CS, Lin CY, et al. The influence of collaborative learning games within different devices on student’s learning performance and behaviours. Australasian Journal of Educational Technology 2014; 30(6): 652–669. doi: 10.14742/ajet.347
5. Plass JL, O’Keefe PA, Homer BD. The impact of individual, competitive, and collaborative mathematics game play on learning, performance, and motivation. Journal of Educational Psychology 2013; 105(4): 1050–1066. doi: 10.1037/a0032688.
6. Wijers M, Jonker V, Kerstens K. MobileMath: The phone, the game and the math. In: Proceedings of the 2nd European Conference on Games-Based Learning (ECGBL); 16–17 October 2008; Barcelona, Spain. Academic Conferences Ltd.; 2008.
7. La Barbera F, Ajzen I. Control interactions in the theory of planned behavior: Rethinking the role of subjective norm. Europe’s Journal of Psychology 2020; 16(3): 401–417. doi: 10.5964/ejop.v16i3.2056
8. Chen CH, Wang KC, Lin YH. The comparison of solitary and collaborative modes of game-based learning on students’ science learning and motivation. Journal of Educational Technology & Society 2015; 18(2): 237–248.
9. Kearney M, Schuck S, Burden K, Aubusson P. Viewing mobile learning from a pedagogical perspective. Research in Learning Technology 2012; 20(1): 14406. doi: 10.3402/rit.v20i0.14406
10. Anderson CA. An update on the effects of playing violent video games. Journal of Adolescence 2004; 27(1): 113–122. doi: 10.1016/j.adolescence.2003.10.009
11. Bogost I. Persuasive Games: The Expressive Power of Videogames. The MIT Press; 2007.
12. Meya JN, Eisenack K. Effectiveness of gaming for communicating and teaching climate change. Climatic Change 2018; 149: 319–333. doi: 10.1007/s10584-018-2254-7
13. Papastergiou M. Digital game-based learning in high school computer science education: Impact on educational effectiveness and student motivation. Computers & Education 2009; 52(1): 1–12. doi: 10.1016/j.compedu.2008.06.004.
14. Ajzen I. Constructing a theory of planned behavior questionnaire. Available online: https://people.umass.edu/~aizen/pdf/tpb.measurement.pdf (accessed on 7 July 2020).
15. Denzin NK. Triangulation 2.0. Journal of Mixed Methods Research 2012; 6(2): 80–88. doi: 10.1177/1558689812437186
16. Patton MQ. Qualitative Research and Evaluation Methods, 4th ed. SAGE Publishing; 2015.
17. Schrader PG, McCreery M. The acquisition of skill and expertise in massively multiplayer online games. Educational Technology Research and Development 2007; 56(5): 557–574. doi: 10.1007/s11423-007-9055-4
18. Holbert N, Wilensky U. Designing educational video games to be objects-to-think-with. Journal of the Learning Sciences 2019; 28(1): 32–72. doi: 10.1080/10508406.2018.1487302
19. Watson SL, Watson WR, Tay L. The development and validation of the Attitudinal Learning Inventory (ALI): A measure of attitudinal learning and instruction. Educational Technology Research and Development 2018; 66(6): 1601–1617. doi: 10.1007/s11423-018-9625-7
20. Janakiraman S, Watson SL, Watson WR. Exploring the effectiveness of digital games in producing pro-environmental behaviors when played collaboratively and individually: A mixed methods study in India. TechTrends 2021; 65: 331–347. doi: 10.1007/s11528-020-00571-8
21. UNESCO. Education for sustainable development. Available online: https://en.unesco.org/themes/education-sustainable-development (accessed on 18 July 2023).
22. Räder SB, Henriksen AH, Butrymovich V, et al. A study of the effect of dyad practice versus that of individual practice on simulation-based complex skills learning and of students’ perceptions of how and why dyad practice contributes to learning. Academic Medicine 2014; 89(9): 1287–1294. doi: 10.1097/ACM.0000000000000373
23. Watson WR, Watson SL, Fehrman SE, et al. Examining international students’ attitudinal learning in a higher education course on cultural and language learning. Journal of International Students 2020; 10(3): 664–687. doi: 10.32674/jis.v10i3.1083
24. Leahy W, Sweller J. Cognitive load theory, modality of presentation and the transient information effect. Applied Cognitive Psychology 2011; 25(6): 943–951. doi: 10.1002/acp.1787
DOI: https://doi.org/10.54517/esp.v8i2.1725
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Copyright (c) 2023 Farid A. Hamdan, Amador J. Lara-Sánchez, Víctor Arufe-Giráldez
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