Well-being reflection in the writing narrative of high school students: A corpus based analysis

Articles in Press

Document Type : مقالات علمی پژوهشی

Authors
H. Rezaee 1
S. Nemat zadeh 2
S. Modarres khiyabani 3
A. Mohseni 4
N. Taghva 5
1 education employee
2 linguistics PhD Faculty member Al-Zahra University
3 linguistics PhD Faculty member Karaj Azad university
4 English Teaching PhD Faculty member South Tehran Azad university
5 Psychology PhD Member of the management team of the World Association of Positive Psychology in Iran
Abstract
Well-being includes phenomena such as mental health, life satisfaction, positive attitude and feeling happiness. The present study deals with the relationship between language and well-being and claims that well-being factors are expressed in the words of the language. For example, the happiness factor in a language is reflected by certain words such as happy, happiness and satisfied. The theoretical framework of the present study is ecolinguistics. The method is corpus based. The data is extracted from the research of Secretariat of Emotional Intelligence of Tehran Education in 2017. In this study, the well-being status of 1095 high school students, the first and second period, girls and boys, public and private of District One of Tehran have been evaluated. The students' responses to the question about well-being criteria are the base of the present study. The corpus consists of 1161 words with a frequency of 35,455. The content words associated with the five Well-being factors of engagement (occupation and entertainment), perseverance, optimism, connectedness and happiness were extracted in the framework of the semantic map of Jiaqi Wu et al. (2017), by using top-down method. They were analyzed using Excel and SPSS soft-wares. Some examples of the words that represent the well-being factor of happiness are: “relaxation, facilities, happy, healthy, fun, health, happiness, excellent, pleasant, relaxed, happy, satisfied, faith, satisfaction, enjoyed, happiness, joy, and fun”. The research findings show 6845 words of the corpus (about35.7%) are related to well-being, and there is a significant relationship between well-being factors and produced words

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• Aurang, Soheila; Hadi Hashemi Razini; Maryam Ramshini & Tuba Aurang (2018). "A Survey of the Meaning in Life and Well-being, Youth, Adults and the Old". Elderly Journal. Vol. 2. No. 2. 182-197. [In Persian].
• Coleman, John (2009). “Well‐being in schools: empirical measure, or politician’s dream?”. Oxford Review of Education. Vol.35:3. Pp. 281-292.
• Ebrahimi, Shima; Reza Pishghvam; Azam Staji and Seyed Amir Amin Yazdi (1979). "The Effect of Teaching Based on Heijamad Model on the Emotions of Farsi Female Language Learners in Iran". Language related research. No 45. Pp 63-73. . [In Persian].
• Elmi, Sepideh (2014). Study of arousal, pleasure, and dominance of words used in common titles of Persian-language web sites inside and outside the country and determine its relationship to arousal, pleasure, and dominance of the news title. Master's thesis in Cognitive-Cognitive Psychology. Institute of Cognitive Sciences. [In Persian].
• Fararavi, Jamshid (1998). Spectral Dictionary. Tehran: Hermes Publications. [In Persian].
• Farsiyan Mohammadreza & Najmeh Alavi (2020). “Adding emotions to vocabulary in Mupassan's Horella story”, ”, Language related research, Volume 10, Number 2, pp. 123-145. [In Persian].
• Glotfelty, C. (2014). What is Eco criticism? Association for the study of literature and Environment. Available from: http://www.asle.org/site/resources/ecocritical library/intro/defining/glotfelty/[Accessed 23Jun 2014].
• Guttmann, D. ( 2015). Finding meaning in life, at midlife and beyond [N. Ghasemi Persian trans]. Shiraz: Navid e Shiraz publications. [In Persian].
• JiaqiWu, Marilyn Walker, Pranav Anand and Steve Whittaker (2017). “Linguistic Reflexes of Well-Being and Happiness in Echo”. Association for Computational Linguistics. Vol. 8. Pp.81-91.
• Kaviani, Hossein; Mehrangiz Purnaseh and Arsalan Golfam (2005). "Contrasting words of excitement and cognition in Persian dictionaries". Cognitive Science News. No. 2, pp. 37-29. [In Persian].
• Kern, Margaret & Benson, Elizabeth & Steinberg, Laurence (2015). “The EPOCH Measure of Adolescent Well-Being”. Psychological Assessment. Vol.28.10.Pp.10-37.
• Keshtkar, Fazel and Diana Inkpen (2009). Using sentiment orientation features for mood classification in blogs. In Natural Language Processing and Knowledge Engineering, NLP-KE 2009. International Conference on. IEEE, pages 1–6.
• Lazarus, R. ( 2017). Coping with aging [J. Najafi Zand Persian trans]. Tehran: Danjeh. [In Persian].
• Mishne , Gilad (2005). Experiments with mood classification in blog posts. In Proceedings of ACM SIGIR 2005 workshop on stylistic analysis of text for information access. volume 19, pages 321–327.
• Mokhlesin, Maryam; Hoorieh Ahadi; Jalal Bakhtiyari; Zahra Ahmadi Zadeh & Fatemeh Kasbi (2014). "Normalization of Emotional Dimensions and Vocabulary-Semantic Properties of Persian Words". Koomesh Quarterly, Vol. 2. No. 1. 60-76. [In Persian].
• Mokhlesin, Maryam; Zahra Ahmadizadeh; Glaviz Karimi Javan; Majid Mirmohammad Khani & Ali Saadollahi (2015). "Correlation of Emotional Dimensions of Words and Lexical-Semantic Components in Persian Language Students". Koomesh Quarterly, Vol. 1. No. 3. Pp 320-328. [In Persian].
• Molavi Shirazi, Saba (2015). Investigating the Relationship between Emotional Illness, Vocabulary Knowledge, and Reporting on the Use of Emotional adjectives in Normal People. Masters Thesis in Cognitive-Cognitive Psychology. Institute of Cognitive Sciences. [In Persian].
• Pennebaker, J.W., Boyd, R.L., Jordan, K., & Blackburn, K. (2015). “The development and psychometric properties of LIWC 2015”. Austin, TX: University of Texas at Austin. https://doi.org/10.15781/T25P41
• Pennebaker, James (2002). “What our words can say about us: Toward a broader language psychology”. Psychological Science Agenda. 15. 8-9.
• Pishqadam, Reza and Aida Firouzianpoor Esfahani (2018). "Introducing Heijamad as an Effective Tool in Accepting new adopted words of the Persian Academy of Language and Literature". Language related research. No. 40. Pages 79-105. [In Persian].
• Ryff, C.D. (1995).”Psychological well-being in adult life”. Cur Dir Psych Sci. Vol.4. Pp. 99–104.
• Sabeti, Behnam (2015). Landscape-based inclination analysis in Persian using learning methods. master's degree in computer engineering. artificial intelligence. Tehran. Sanati sharif university. [In Persian].
• Sapir, Edward (1997). Language: An Introduction to the Study of Speaking. Translated by Ali Mohammad Haghshenas. Tehran: Soroush. [In Persian].
• Schwartz, H.: Andrew Maarten Sap; Margaret L. Kern; Johannes C. Eichstaedt; Adam Kapelner; Megha Agrawal; Eduardo Blanco; Lukasz Dziurzynski; Gregory Park; David Stillwell; et al. (2016). “Predicting individual well-being through the language of social media”. In Pac Symp Biocomput. volume 21. pages 516–527.
• Seligman, Martin E.P., Tayyab Rashid, and Acacia C Parks (2006). Positive Psychotherapy. American Psychologist. 61(8):774.
• Seligman, Martin E.P. (2015).The flourishing: positive psychology. [A. Kamkar Persian trans] Tehran: Nashr e Ravan publication. [In Persian].
• Steffensen, S. and Fill, A. (2014). Ecolinguistics: the state of the art and future horizons. Language Sciences 41(6):25.
• Stibbe, Arran (2015). Ecolinguistics: Language, ecology and the stories we live by. Ferdos Aghagolzadeh. Tehran: Neviseh Parsi publication. [In Persian].
• Taherzadeh, Zahra; Hamid Rastegari & Mohammad Ehsan Basiri (2016). “A review of emotion analysis on Persian”. International Conference on Engineering and Computer Science. Najaf Abad. Azad university. [In Persian].
• Zoorvarz, Mahdis; Azita Afrashi & Mostafa Asi (2013).” Conceptual metaphors of happiness in Persian: A figurative analysis”. Khorasan Journal of Linguistics and Dialects. Scientific Research. No. 9. Fall & Winter. [In Persian].
Language Related Research

Articles in Press, Accepted Manuscript
Available Online from 13 July 2025