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Predictors of academic performance among girls in south Indian cities

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Abstract

The last few decades have seen the importance of education increasing in the subcontinent. A steep rise in the emphasis on girls’ education is also observed in India. The current education scenario in the country requires students to get very high scores at higher secondary level for admission into reputable colleges and universities. This study intends to understand the predictors of academic performance by gathering opinions from female students. The relative weights of the predictors, namely self-discipline, student interest, study habits, teacher expertise, and family support, were computed based on the responses and presented. This study employed a multi-criteria decision-making (MCDM) technique for the same. As the study involved vagueness, the fuzzy version was used. Fuzzy Analytic Hierarchy Process (FAHP) is the MCDM technique utilized here. Student–participants were from cities, all belonging to the same stream and board of education. The study finds student interest to be a key predictor, followed by self-discipline, teacher expertise, study habits, and family support, respectively. The results imply that studying with interest can influence academic performance to a great extent. This study will be helpful to researchers, academicians, schools, and parents. It is suggested that investigations could be carried out with boys and students in other places and boards of education to throw more light on predictors.

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The datasets are available from the corresponding author on request.

References

  • Abbott, CJ, Hughes, P, Wyld, C (1992) Monitoring Student Progress. A framework for improving student performance and reducing attrition in higher education. National Clearing House for Youth Studies, Hobart.

  • Altbach PG (2014) India’s higher education challenges. Asia Pacific Educ Rev 15(4):503–510

    Article  Google Scholar 

  • Bahar M (2013) Academic achievement of Turkish selective schools in national exams of HSEE and UEE with respect to test types and gender. Asia-Pac Educ Res 22(2):163–171

    Article  Google Scholar 

  • Baumann C, Hamin H, Tung RL, Hoadley S (2016) Competitiveness and workforce performance: Asia vis-a-vis the West. Int J Contemp Hosp Manag 28:2197–2217

    Article  Google Scholar 

  • Baumann C, Harvey M (2018) Competitiveness vis-à-vis motivation and personality as drivers of academic performance. Int J Educ Manag 32(1):185–202

    Article  Google Scholar 

  • Baumann C, Harvey M (2021) What is unique about high performing students? Exploring personality, motivation and competitiveness. Assess Eval High Educ 14:1–13

    Google Scholar 

  • Baumann C, Krskova H (2016) School discipline, school uniforms and academic performance. Int J Educ Manag 30(6):1003–1029

    Article  Google Scholar 

  • Baumann C, Winzar H (2017) Confucianism and work ethic-introducing the ReVaMB model. In: Oh I, Park GS (eds) The political economy of business ethics in East Asia. Chandos Publishing, Sawsto, pp 33–60

    Chapter  Google Scholar 

  • Baumann C, Winzar H, Fang T (2018) East Asian wisdom and relativity: inter-ocular testing of Schwartz values from WVS with extension of the ReVaMB model. Cross Cult Strateg Manag 25(2):210–230

    Article  Google Scholar 

  • Baumann C, Winzar H, Viengkham D (2020) Confucianism, discipline, and competitiveness. Routledge, New York

    Google Scholar 

  • Blau G, Ryan J (1997) On measuring work ethic: A neglected work commitment facet. J Vocat Behav 51(3):435–448

    Article  Google Scholar 

  • Buckley JJ (1985) Fuzzy hierarchical analysis. Fuzzy Sets Syst 17(3):233–247

    Article  Google Scholar 

  • Butt BZ, Rehman K (2010) A study examining the students satisfaction in higher education. Procedia-Soc Behav Sci 2(2):5446–5450

    Article  Google Scholar 

  • Chamorro-Premuzic T, Furnham A (2008) Personality, intelligence and approaches to learning as predictors of academic performance. Pers Indiv Differ 44(7):1596–1603

    Article  Google Scholar 

  • Chen PH (2013) The effects of college students’ in-class and after-class lecture note-taking on academic performance. Asia-Pac Educ Res 22(2):173–180

    Article  Google Scholar 

  • Dawes PL, Brown J (2002) Determinants of awareness, consideration, and choice set size in university choice. J Mark High Educ 12(1):49–75

    Article  Google Scholar 

  • Deb S, Strodl E, Sun J (2014) Academic-related stress among private secondary school students in India. Asian Educ Dev Stud 3(2):118–134

    Article  Google Scholar 

  • DeBerard MS, Spielmans GI, Julka DL (2004) Predictors of academic achievement and retention among college freshmen: a longitudinal study. Coll Stud J 38(1):66–81

    Google Scholar 

  • DeShields OW, Kara A, Kaynak E (2005) Determinants of business student satisfaction and retention in higher education: applying Herzberg’s two-factor theory. Int J Educ Manag 19(2):128–139

    Article  Google Scholar 

  • Duckworth AL, Seligman ME (2005) Self-discipline outdoes IQ in predicting academic performance of adolescents. Psychol Sci 16(12):939–944

    Article  Google Scholar 

  • El Massah SS, Fadly D (2017) Predictors of academic performance for finance students. Int J Educ Manag 31(7):854–864

    Article  Google Scholar 

  • Feng Y, Iriarte F, Valencia J (2019) Relationship between learning styles, learning strategies and academic performance of Chinese students who learn Spanish as a foreign language. Asia-Pac Educ Res 28:1–10

    Google Scholar 

  • Forehand R, Long N, Brody GH, Fauber R (1986) Home predictors of young adolescents’ school behavior and academic performance. Child Dev 1:1528–1533

    Google Scholar 

  • Gafoor KA, Ashraf PM (2012) Contextual influences on sources of academic self-efficacy: a validation with secondary school students of Kerala. Asia Pacific Educ Rev 13(4):607–616

    Article  Google Scholar 

  • Gerdes H, Mallinckrodt B (1994) Emotional, social, and academic adjustment of college students: a longitudinal study of retention. J Couns Dev 72(3):281–288

    Article  Google Scholar 

  • Gibb BE, Zhu L, Alloy LB, Abramson LY (2002) Attributional styles and academic achievement in university students: a longitudinal investigation. Cognitive Ther Res 26(3):309–315

    Article  Google Scholar 

  • Griffith J (1996) Relation of parental involvement, empowerment, and school traits to student academic performance. J Educ Res 90(1):33–41

    Article  Google Scholar 

  • Harman G (1994) Student selection and admission to higher education: Policies and practices in the Asian region. High Educ 27(3):313–339

    Article  Google Scholar 

  • Hasan W (2004) Girls’ education in India: present status and future challenges. Commonw Youth Dev 2(2):24–44

    Google Scholar 

  • Heck RH, Mahoe R (2010) Student course taking and teacher quality: their effects on achievement and growth. Int J Educ Manag 24(1):56–72

    Article  Google Scholar 

  • Himelstein HC (1992) Early identification of high-risk students: using noncognitive indicators. J Coll Stud Dev 33(1):89–90

    Google Scholar 

  • Jayawardena NS (2021) The role of culture in student discipline of secondary schools in cross-cultural context: a systematic literature review and future research agenda. Int J Educ Manag. https://doi.org/10.1108/IJEM-06-2020-0325

    Article  Google Scholar 

  • Kakkar G (2020) Opportunities and challenges for girl child schooling and education in India. IJCRI 5(7):50–79

    Google Scholar 

  • Kirkup, C, Wheater, R, Morrison, J, Durbin, B (2010) Use of an aptitude test in university entrance : a validity study: updated analyses of higher education destinations, including 2007 entrants. National Foundation for Educational Research

  • Krskova H, Baumann C (2017) School discipline, investment, competitiveness and mediating educational performance. Int J Educ Manag 31(3):293–319

    Article  Google Scholar 

  • Lecompte D, Kaufman L, Rousseeuw P, Tassin A (1983) Search for the relationship between academic performance and some psychosocial factors. Acta Psychiat Belg 83:598–608

    Google Scholar 

  • Lent RW, Brown SD, Larkin KC (1987) Comparison of three theoretically derived variables in predicting career and academic behavior: Self-efficacy, interest congruence, and consequence thinking. J Couns Psychol 34(3):293–298

    Article  Google Scholar 

  • Mai LW (2005) A comparative study between UK and US: The student satisfaction in higher education and its influential factors. J Mark Manage 21(7–8):859–878

    Article  Google Scholar 

  • Maiyo J, Siahi EA (2015) Study of the relationship between study habits and academic achievement of students: A case of Spicer Higher Secondary School, India. Int J Educ Admin Pol Stud 7(7):134–141

    Article  Google Scholar 

  • Masud H, Ahmad MS, Jan FA, Jamil A (2016) Relationship between parenting styles and academic performance of adolescents: mediating role of self-efficacy. Asia Pacific Educ Rev 17(1):121–131

    Article  Google Scholar 

  • McKenzie K, Schweitzer R (2001) Who succeeds at university? Factors predicting academic performance in first year Australian university students. High Educ Res Dev 20(1):21–33

    Article  Google Scholar 

  • McNair R, Johnson HD (2009) Perceived school and home characteristics as predictors of school importance and academic performance in a diverse adolescent sample. N Am J Psychol 11(1):63–84

    Google Scholar 

  • Mitrofan N, Ion A (2013) Predictors of academic performance. The relation between the big five factors and academic performance. Procedia-Soc Behav Sci 78:125–129

    Article  Google Scholar 

  • Nambudiri R, Shaik R, Ghulyani S (2019) Student personality and academic achievement: mediating role of psychological capital (PsyCap). Int J Educ Manag 34(4):767–781

    Article  Google Scholar 

  • Ofori R (2000) Age and ‘type’of domain specific entry qualifications as predictors of student nurses’ performance in biological, social and behavioural sciences in nursing assessments. Nurse Educ Today 20(4):298–310

    Article  Google Scholar 

  • Peterson C, Barrett LC (1987) Explanatory style and academic performance among university freshman. J Pers Soc Psychol 53(3):603–607

    Article  Google Scholar 

  • Rammohan A, Vu P (2018) Gender inequality in education and kinship norms in India. Fem Econ 24(1):142–167

    Article  Google Scholar 

  • Rashmi MR, Shweta BM, Fathima FN, Agrawal T, Shah M, Sequeira R (2015) Prevalence of malnutrition and relationship with scholastic performance among primary and secondary school children in two select private schools in Bangalore rural district (India). Indian J Community Med 40(2):97

    Article  Google Scholar 

  • Rau W, Durand A (2000) The academic ethic and college grades: does hard work help students to “make the grade”? Sociol Educ 73(1):19–38

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process. McGraw Hill, New York

    Google Scholar 

  • Salamonson Y, Andrew S (2006) Academic performance in nursing students: Influence of part-time employment, age and ethnicity. J Adv Nurs 55(3):342–349

    Article  Google Scholar 

  • Schiefele U, Krapp A, Winteler A (1992) Interest as a predictor of academic achievement: a meta-analysis of research. Role Interest Learn Dev 58:183–212

    Google Scholar 

  • Shanbhag D, Goud BR (2013) Emotional intelligence and scholastic performance among children of a high school in south India. Int J Collab Res Intern Med Public Health 5(5):359–367

    Google Scholar 

  • Shin JC, Harman G (2009) New challenges for higher education: global and Asia-Pacific perspectives. Asia Pac Educ Rev 10(1):1–13

    Article  Google Scholar 

  • Siddhu G (2011) Who makes it to secondary school? determinants of transition to secondary schools in rural India. Int J Educ Dev 31:394–401

    Article  Google Scholar 

  • Singh R, Mukherjee P (2018) ‘Whatever she may study, she can’t escape from washing dishes’: gender inequity in secondary education–evidence from a longitudinal study in India. Compare 48(2):262–280

    Article  Google Scholar 

  • Tan C, Tan LS (2014) The role of optimism, self-esteem, academic self-efficacy and gender in high-ability students. Asia-Pac Educ Res 23(3):621–633

    Article  Google Scholar 

  • Thiele T, Singleton A, Pope D, Stanistreet D (2016) Predicting students’ academic performance based on school and socio-demographic characteristics. Stud High Educ 41(8):1424–1446

    Article  Google Scholar 

  • Thien LM (2016) Malaysian students’ performance in mathematics literacy in PISA from gender and socioeconomic status perspectives. Asia-Pac Educ Res 25(4):657–666

    Article  Google Scholar 

  • UNDP. (2015) Human Development Report 2015: Work for Human Development. UNDP: Human Development Report Office

  • Varughese AR, Bairagya I (2020) Group-based educational inequalities in India: have major education policy interventions been effective? India. Int J Educ Dev 73:102159

    Article  Google Scholar 

  • Verma S, Sharma D, Larson RW (2002) School stress in India: effects on time and daily emotions. Int J Behav Dev 26(6):500–508

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353

    Article  Google Scholar 

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Acknowledgements

The corresponding author wishes to thank the Centre for Research, Anna University for awarding Anna Centenary Research Fellowship.

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The authors did not receive funds, grants, or other support for the study.

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Authors and Affiliations

  1. Faculty of Management Sciences, Anna University, Chennai, India

    Ambika M. Raja

  2. Department of Industrial Engineering, Anna University, Chennai, India

    R. Raju, B. Sriramadesikan, M. Surendhar, J. Darvin Rajesh & P. Thilippan

  3. Department of Architecture, National Institute of Technology, Tiruchirappalli, India

    Dhanyasri S. Raja

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  1. Ambika M. Raja
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Correspondence to Ambika M. Raja.

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Raja, A.M., Raju, R., Sriramadesikan, B. et al. Predictors of academic performance among girls in south Indian cities. SN Soc Sci 1, 250 (2021). https://doi.org/10.1007/s43545-021-00248-w

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