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Investigating the Efficacy of Virtual Reality Forest Meditation as an Intervention for Test Anxiety among College Students

Published:05 April 2024Publication History

ABSTRACT

The primary objective of this study is to verify the effectiveness of virtual reality forest meditation as an intervention for test anxiety among college students and to investigate the impact of three factors: namely forest style, meditation state, and pranayama guidance, on the intervention effect. A total of thirty participants exhibiting moderate or higher levels of test anxiety were subjected to an induction of test anxiety followed by a virtual reality forest meditation intervention comprising various combinations of the aforementioned three factors. Participants' levels of test anxiety were measured by the TAS scores and the quantification of brainwave energy. The results of the paired sample T-test demonstrate that virtual reality forest meditation constitutes an efficacious intervention for test anxiety among college students. The results of a three-factor analysis of variance revealed that both meditation state and pranayama guidance significantly influenced the effectiveness of virtual reality forest meditation intervention, while forest style did not demonstrate a significant impact. Specifically, wandering meditation was found to be more effective than sitting meditation, and interventions with pranayama guidance were more successful than those without pranayama guidance. Therefore, it can be concluded that guided wandering meditation combined with pranayama in a virtual reality forest environment offers superior alleviation of test anxiety among college students.

References

  1. Pekrun, R. The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 2006, 18(4), 315-341.Google ScholarGoogle ScholarCross RefCross Ref
  2. Zeidner M. Test anxiety and aptitude test performance in an actual college admissions testing situation: temporal considerations. Personality and Individual Differences, 1991, 12(2), 101-109.Google ScholarGoogle ScholarCross RefCross Ref
  3. Krispenz A, Gort C, Schültke L, How to reduce test anxiety and academic procrastination through inquiry of cognitive appraisals: A pilot study investigating the role of academic self-efficacy[J]. Frontiers in psychology, 2019, 10: 1917.Google ScholarGoogle Scholar
  4. Wang C, Zhao H, Zhang H. Chinese college students have higher anxiety in new semester of online learning during COVID-19: a machine learning approach[J]. Frontiers in Psychology, 2020, 11: 587413.Google ScholarGoogle ScholarCross RefCross Ref
  5. Lowe P A. Exploration of Test Anxiety Profiles in US Undergraduate Students[J]. Higher Education Studies, 2022, 12(4).Google ScholarGoogle Scholar
  6. Kahan L M. The correlation of test anxiety and academic performance of community college students[D]. Capella University, 2008.Google ScholarGoogle Scholar
  7. Concannon B J, Esmail S, Roberts M R. Immersive virtual reality for the reduction of state anxiety in clinical interview exams: Prospective cohort study[J]. JMIR Serious Games, 2020, 8(3): e18313.Google ScholarGoogle ScholarCross RefCross Ref
  8. Soares D, Woods K. An international systematic literature review of test anxiety interventions 2011–2018[J]. Pastoral Care in Education, 2020, 38(4): 311-334.Google ScholarGoogle ScholarCross RefCross Ref
  9. Ugwuanyi C S, Okeke C I O, Agboeze M U. Management of test anxiety among pupils in basic science using music-based cognitive behavior therapy intervention: implication for community development[J]. Journal of Rational-Emotive & Cognitive-Behavior Therapy, 2021, 39: 285-305.Google ScholarGoogle ScholarCross RefCross Ref
  10. Doimo I, Masiero M, Gatto P. Forest and wellbeing: Bridging medical and forest research for effective forest-based initiatives[J]. Forests, 2020, 11(8): 791.Google ScholarGoogle ScholarCross RefCross Ref
  11. Park B J, Shin C S, Shin W S, Effects of forest therapy on health promotion among middle-aged women: Focusing on physiological indicators[J]. International journal of environmental research and public health, 2020, 17(12): 4348.Google ScholarGoogle ScholarCross RefCross Ref
  12. Wen Y, Yan Q, Pan Y, Medical empirical research on forest bathing (Shinrin-yoku): A systematic review[J]. Environmental health and preventive medicine, 2019, 24(1): 1-21.Google ScholarGoogle Scholar
  13. Bielinis E, Jaroszewska A, Łukowski A, The effects of a forest therapy programme on mental hospital patients with affective and psychotic disorders[J]. International Journal of Environmental Research and Public Health, 2020, 17(1): 118.Google ScholarGoogle ScholarCross RefCross Ref
  14. Song C, Ikei H, Miyazaki Y. Sustained effects of a forest therapy program on the blood pressure of office workers[J]. Urban Forestry & Urban Greening, 2017, 27: 246-252.Google ScholarGoogle ScholarCross RefCross Ref
  15. Poulsen D V, Stigsdotter U K, Djernis D, ‘Everything just seems much more right in nature’: How veterans with post-traumatic stress disorder experience nature-based activities in a forest therapy garden[J]. Health Psychology Open, 2016, 3(1): 2055102916637090.Google ScholarGoogle ScholarCross RefCross Ref
  16. >Shin W S, Shin C S, Yeoun P S. The influence of forest therapy camp on depression in alcoholics[J]. Environmental health and preventive medicine, 2012, 17: 73-76.Google ScholarGoogle Scholar
  17. 창섭신, 평식연, 미나조. Effects of forest healing activity on women's menopausal symptoms and mental health recovery[J]. Journal of Korean Society for People, Plants and Environment, 2015, 18(4): 319-325.Google ScholarGoogle Scholar
  18. Mohamad Yahaya N A, Awang Rambli D R, Sulaiman S, Design of Game-Based Virtual Forests for Psychological Stress Therapy[J]. Forests, 2023, 14(2): 288.Google ScholarGoogle ScholarCross RefCross Ref
  19. Rozmi M D A, Rambli D R A, Sulaiman S, Design considerations for a virtual reality-based nature therapy to release stress[C]// 2019 International Conference on Advances in the Emerging Computing Technologies (AECT). IEEE, 2020: 1-4.Google ScholarGoogle Scholar
  20. Yuan S, Tao F, Li Y. The Restorative Effects of Virtual Reality Forests on Elderly Individuals During the COVID-19 Lockdown[J]. Journal of Organizational and End User Computing (JOEUC), 2022, 34(6): 1-22.Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Syed Abdullah S S, Awang Rambli D R, Sulaiman S, The impact of virtual nature therapy on stress responses: A systematic qualitative review[J]. Forests, 2021, 12(12): 1776.Google ScholarGoogle ScholarCross RefCross Ref
  22. AltVR. 2020, May 09. Tripp for Oculus Quest: Mindfulness Meditation in Virtual Reality [Video]. YouTube. https://www.youtube.com/watch?v=onBKizkzsLgGoogle ScholarGoogle Scholar
  23. Cubicle Ninjas Creative Design Agency. 2021, October 22. Guided Meditation VR for Oculus Quest / Available Now [Video]. YouTube. https://www.youtube.com/watch?v=DwesmlKsrB0Google ScholarGoogle Scholar
  24. Fly Virtual Reality. 2021, January 13. Top 5 VR Meditation Videos Oculus Quest 2 | Best Meditation Apps VR[Video]. YouTube. https://www.youtube.com/watch?v=wgVAOzol6IkGoogle ScholarGoogle Scholar
  25. Dozio N, Marcolin F, Scurati G W, A design methodology for affective Virtual Reality[J]. International Journal of Human-Computer Studies, 2022, 162: 102791Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Smith K L R, Michael W B, Hocevar D. Performance on creativity measures with examination‐taking instructions intended to induce high or low levels of test anxiety[J]. Creativity Research Journal, 1990, 3(4): 265-280.Google ScholarGoogle ScholarCross RefCross Ref
  27. Carlson J M, Greenberg T, Rubin D, Feeling anxious: anticipatory amygdalo-insular response predicts the feeling of anxious anticipation[J]. Social cognitive and affective neuroscience, 2011, 6(1): 74-81.Google ScholarGoogle Scholar
  28. Chittaro L. Anxiety induction in virtual environments: an experimental comparison of three general techniques[J]. Interacting with Computers, 2014, 26(6): 528-539.Google ScholarGoogle ScholarCross RefCross Ref
  29. Erzen, E., & Odacı, H. The effect of the attachment styles and self-efficacy of adolescents preparing for university entrance tests in Turkey on predicting test anxiety. Educational Psychology, 2014, 36(10).Google ScholarGoogle Scholar
  30. Ahmed A, Devi R G, Priya A J. Effect of Box Breathing Technique on Lung Function Test[J]. Journal of Pharmaceutical Research International, 2021, 33(58A): 25-31.Google ScholarGoogle ScholarCross RefCross Ref
  31. John Lothes I I, Mochrie K, Wilson M, The effect of dbt-informed mindfulness skills (what and how skills) and mindfulness-based stress reduction practices on test anxiety in college students: A mixed design study[J]. Current Psychology, 2021, 40: 2764-2777.Google ScholarGoogle ScholarCross RefCross Ref
  32. Long S, Ding R, Wang J, Sleep quality and electroencephalogram delta power[J]. Frontiers in Neuroscience, 2021, 15: 803507.Google ScholarGoogle ScholarCross RefCross Ref
  33. Diaz-Piedra C, Sebastián M V, Di Stasi L L. EEG theta power activity reflects workload among army combat drivers: an experimental study[J]. Brain sciences, 2020, 10(4): 199.Google ScholarGoogle Scholar
  34. Yang K, Tong L, Shu J, High gamma band EEG closely related to emotion: evidence from functional network[J]. Frontiers in human neuroscience, 2020, 14: 89.Google ScholarGoogle Scholar
  35. Rajendran V G, Jayalalitha S, Adalarasu K. EEG Based Evaluation of Examination Stress and Test Anxiety Among College Students[J]. Irbm, 2022, 43(5): 349-361.Google ScholarGoogle ScholarCross RefCross Ref
  36. Compton R J, Gearinger D, Wild H. The wandering mind oscillates: EEG alpha power is enhanced during moments of mind-wandering[J]. Cognitive, Affective, & Behavioral Neuroscience, 2019, 19: 1184-1191.Google ScholarGoogle ScholarCross RefCross Ref
  37. Díaz H, Cid F M, Otárola J, EEG Beta band frequency domain evaluation for assessing stress and anxiety in resting, eyes closed, basal conditions[J]. Procedia Computer Science, 2019, 162: 974-981.Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Clarke A R, Barry R J, Karamacoska D, The EEG theta/beta ratio: a marker of arousal or cognitive processing capacity? [J]. Applied psychophysiology and biofeedback, 2019, 44: 123-129.Google ScholarGoogle Scholar
  39. Raufi B, Longo L. An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload[J]. Frontiers in Neuro informatics, 2022, 16: 44.Google ScholarGoogle Scholar
  40. AlShorman O, Masadeh M, Alzyoud A, The effects of emotional stress on learning and memory cognitive functions: an EEG review study in education[C]//2020 Sixth International Conference on e-Learning (econf). IEEE, 2020: 177-182.Google ScholarGoogle Scholar
  41. Wen T Y, Aris S A M. Electroencephalogram (EEG) stress analysis on alpha/beta ratio and theta/beta ratio[J]. Indones. J. Electr. Eng. Comput. Sci, 2020, 17(1): 175-182.Google ScholarGoogle Scholar
  42. Khng K H, Mane R. Beyond BCI—Validating a wireless, consumer-grade EEG headset against a medical-grade system for evaluating EEG effects of a test anxiety intervention in school[J]. Advanced Engineering Informatics, 2020, 45: 101106.Google ScholarGoogle ScholarCross RefCross Ref
  43. Mognon A, Jovicich J, Bruzzone L, ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features[J]. Psychophysiology, 2011, 48(2): 229-240.Google ScholarGoogle ScholarCross RefCross Ref
  44. Grilli G, Sacchelli S. Health benefits derived from forest: A review[J]. International journal of environmental research and public health, 2020, 17(17): 6125.Google ScholarGoogle ScholarCross RefCross Ref
  45. Zhang Z, Wang P, Gao Y, Current development status of forest therapy in China[C]//Healthcare. MDPI, 2020, 8(1): 61.Google ScholarGoogle Scholar
  46. Ariga R A. Decrease anxiety among students who will do the objective structured clinical examination with deep breathing relaxation technique[J]. Open access Macedonian journal of medical sciences, 2019, 7(16): 2619.Google ScholarGoogle Scholar

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  • Published in

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    ISAIMS '23: Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science
    October 2023
    1394 pages
    ISBN:9798400708138
    DOI:10.1145/3644116

    Copyright © 2023 ACM

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    Publication History

    • Published: 5 April 2024

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