Unravelling the impact of Perceived Parental Styles on Curiosity and Exploration
DOI:
https://doi.org/10.61506/01.00113Keywords:
Perceived parenting styles, curiosity, explorationAbstract
This study was aimed at investigating the role of perceived parenting styles in predicting curiosity and exploration among university students. It is obvious that personality, behavioral and cognitive characteristics of human are affected by parents and it seems that parenting styles that parents use in rearing their children affect their personality and cognitive characteristics. Data were collected from Bahauddin Zakariya University Multan, Pakistan. Sample of 171 students were selected through convenient sampling. Two research instruments were used to measure the variables. Findings of the study reveal that permissive and authoritative parenting styles are the significant positive predictors of curiosity and exploration among students. Moreover, there is positive correlation among these constructs. Furthermore, results indicate that there is no significant impact of authoritarian parental style in predicting curiosity and exploration. In addition, there was no statistically significant difference of curiosity and exploration between male and female students. In the light of study, parents need to practice the health parenting styles to nourish their children.
References
Abakpa, B., Abah, J., & Agbo-Egwu, A. O. (2018). Science curiosity as a correlate of academic performance in mathematics education: Insights from Nigerian higher education. African Journal of Teacher Education (AJOTE), 7(1), 36-52. DOI: https://doi.org/10.21083/ajote.v7i1.3904
Adalbjarnardottir, S.; Hafsteinsson, L.G. (2001). Adolescents’ perceived parenting styles and their Substance use: Concurrent and longitudinal analyses. J. Res. Adolesc. 11, 401–423. DOI: https://doi.org/10.1111/1532-7795.00018
Agrawal R. (1995). Sample mean based index policies by O(log n) regret for the multi-armed bandit problem. Advances in Applied Probability 27:1054–1078. DOI: https://doi.org/10.1017/S0001867800047790
Associated with an expectation of information. Proceedings of the National Academy of
Auer P, Cesa-Bianchi N, Fischer P. (2002). Finite-time analysis of the multiarmed bandit problem. In: Machine Learning. Springer Link. P. 235–256. DOI: https://doi.org/10.1023/A:1013689704352
Bandwidth of curiosity and identifying four unique subgroups of curious people. Journal of Research in Personality, 73, 130–149. DOI: https://doi.org/10.1016/j.jrp.2017.11.011
Barber, B.K.; Stolz, H.E.; Olsen, J.A. (2005). Parental support, psychological control, and behavioral Control: Assessing relevance across time, culture, and method. Monogr. Soc. Res. Child Dev, 70, 1–137.
Barnes, G.M.; Hoffman, J.H.; Welte, J.W.; Farell, M.P.; Dintcheff, B.A. (2006). Effects of parental Monitoring and peer deviance on substance use and delinquency. J. Marriage Fam, 68, 1084–1104.
Barnes, G.M.; Hoffman, J.H.; Welte, J.W.; Farell, M.P.; Dintcheff, B.A. (2006). Effects of parental Monitoring and peer deviance on substance use and delinquency. J. Marriage Fam, 68, 1084–1104. DOI: https://doi.org/10.1111/j.1741-3737.2006.00315.x
Barnes, G.M.; Reifman, A.S.; Farrell, M.P.; Dintcheff, B.A. (2000). The effect of parenting on the Development of adolescent alcohol misuse: A six-wave latent growth model. J. Marriage Fam, 62, 175–186. DOI: https://doi.org/10.1111/j.1741-3737.2000.00175.x
Baumrind, D.; Larzelere, R.E.; Owens, E.B. (2010). Effects of preschool parents’ Power: Assertive Patterns and practices on adolescent development. Parenting, 10, 157–201. DOI: https://doi.org/10.1080/15295190903290790
Begus, K., Gliga, T., & Southgate, V. (2014). Infants learn what they want to learn: responding.
Begus, K., Gliga, T., & Southgate, V. (2016). Infants’ preferences for native speakers are Behavior: An integrated model with adolescent self-disclosure and perceived parental knowledge as intervening variables. Dev. Psychol, 42, 305–318. DOI: https://doi.org/10.1037/0012-1649.42.2.305
Berlyne, D. E. (1954). A theory of human curiosity. British Journal of Psychology, 45, 180-191. DOI: https://doi.org/10.1111/j.2044-8295.1954.tb01243.x
Berlyne, D. E. (1960). Conflict, Arousal, and Curiosity. New York: McGraw Hill. DOI: https://doi.org/10.1037/11164-000
Berlyne, D. E. (1962). Uncertainty and epistemic curiosity. British Journal of Psychology. DOI: https://doi.org/10.1111/j.2044-8295.1962.tb00811.x
Berlyne, Daniel E. (1960), Conflict, Arousal, and Curiosity, McGraw-Hill. (1963). Motivational Problems Raised by Exploratory and Epistemic Behavior, in Psychology: A Study of Science, Vol. 5, ed. Sigmund Koch, New York.
Blocklin, M.K.; Crouter, A.C.; Updegraff, K.A.; McHale, S.M. (2011). Sources of parental knowledge in Mexican American families. J. Fam. Relat, 60, 30–44. DOI: https://doi.org/10.1111/j.1741-3729.2010.00631.x
Boekaerts, M. (2002). Motivation to learn. Educational Practices Series-10. France: The International Academy of Education & the International Bureau of Education.
Bornstein, M. H., Hahn, C. S., & Suwalsky, J. T. (2013). Physically developed and exploratory young infants contribute to their own long-term academic achievement. DOI: https://doi.org/10.1177/0956797613479974
Brummelman, E., Grapsas, S., & van der Kooij, K. (2022). Parental praise and children’s exploration: a virtual reality experiment. Scientific reports, 12(1), 1-11. DOI: https://doi.org/10.1038/s41598-022-08226-9
Buckner, R. L. (2010). The role of the hippocampus in prediction and imagination. Annual review of psychology, 61, 27-48. DOI: https://doi.org/10.1146/annurev.psych.60.110707.163508
Buckner, R. L., & Carroll, D. C. (2007). Self-projection and the brain. Trends in cognitive sciences, 11(2), 49-57. DOI: https://doi.org/10.1016/j.tics.2006.11.004
Chang, Y. Y., & Shih, H. Y. (2019). Work curiosity: A new lens for understanding employee creativity. Human Resource Management Review, 29(4), 0–1. DOI: https://doi.org/10.1016/j.hrmr.2018.10.005
Chin, J., Anderson, E., Chin, C. L., & Fu, W. T. (2015, September). Age differences in information search: An exploration-exploitation tradeoff model. In Proceedings of the Human Factors and Ergonomics Society annual meeting (Vol. 59, No. 1, pp. 85-89). Sage CA: Los Angeles, CA: SAGE Publications. DOI: https://doi.org/10.1177/1541931215591018
Chu, L., Tsai, J. L., & Fung, H. H. (2021). Association between age and intellectual curiosity: the mediating roles of future time perspective and importance of curiosity. European journal of ageing, 18(1), 45-53. DOI: https://doi.org/10.1007/s10433-020-00567-6
Clayton, K., Blumberg, F., & Auld, D. P. (2010). The relationship between motivation, learning strategies and choice of environment whether traditional or including an online component. British Journal of Educational Technology, 41(3), 349-364. DOI: https://doi.org/10.1111/j.1467-8535.2009.00993.x
Cohen, J. D., McClure, S. M., & Yu, A. J. (2007). Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration. Philosophical Transactions of the Royal Society B: Biological Sciences, 362(1481), 933-942. DOI: https://doi.org/10.1098/rstb.2007.2098
Ebrahim, M. M., Javidi, N., Samadzadeh, M., & Amini, M. (2012). The study of relationship between parenting styles and personality dimensions in sample of college students. Indian Journal of Science and Technology, 9(5). DOI: https://doi.org/10.17485/ijst/2012/v5i9.9
Eichenbaum, H., & Fortin, N. J. (2009). The neurobiology of memory based predictions. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1521), 1183-1191. DOI: https://doi.org/10.1098/rstb.2008.0306
Fastrich, G. M., Kerr, T., Castel, A. D., & Murayama, K. (2018). The role of interest in memory
Fiske, Donald W. and Salvatore R. Maddi, eds. (1961), Functions of Varied Experience, Homewood, IL: Dorsey.
Fletcher, A.C.; Jefferies, B.C. (1999). Parental mediators of associations between parental authoritative Parenting and early adolescent substance use. J. Early Adolesc, 19, 465–487. DOI: https://doi.org/10.1177/0272431699019004003
Freeman,S., Eddy,S.L., McDonough,M., Smith,M.K., Okoroafor, N., Jordt,H., & Wenderoth, M.P., (2014). Active learning increases student performance in science, engineering, and mathematics. PNAS, 111(23), 8410–8415. DOI: https://doi.org/10.1073/pnas.1319030111
Galambos, N.L.; Barker, E.T.; Almeida, D.M. (2003). Parents do matter: Trajectories of change in Externalizing and internalizing problems in early adolescence. Child Dev, 74, 578–594. DOI: https://doi.org/10.1111/1467-8624.7402017
Ginsburg, G.S.; Bronstein, D. (1993). Family factors related to children’s intrinsic/extrinsic motivational Orientation and academic performance. Child Dev, 64, 1461–1474. DOI: https://doi.org/10.1111/j.1467-8624.1993.tb02964.x
Golman, R., Loewenstein, G., Molnar, A., & Saccardo, S. (2019). The Demand for, and Avoidance of. Information. Working Paper.
Gonzalez, A.; Holbein, M.; Quilter, S. (2002). High school students’ goal orientations and their Relationship to perceived parenting styles. Contemp. Educ. Psychol, 27, 450–471. DOI: https://doi.org/10.1006/ceps.2001.1104
Gruber, M. J., Gelman, B. D., & Ranganath, C. (2014). States of curiosity modulate Hippocampus-dependent learning via the dopaminergic circuit. Neuron, 84(2), 486–496. DOI: https://doi.org/10.1016/j.neuron.2014.08.060
Gruber, M. J., Valji, A., & Ranganath, C. (2019). Curiosity and Learning. A Neuroscientific Perspective. The Cambridge Handbook of Motivation and Learning, pp. 397–417 DOI: https://doi.org/10.1017/9781316823279.018
Hidi, S., & Renninger, K. A. (2006). The Four-Phase Model of Interest Development. Educational Psychologist, 41(2), 111–127. DOI: https://doi.org/10.1207/s15326985ep4102_4
Hills, T. T. (2006). Animal foraging and the evolution of goal‐directed cognition. Cognitive science, 30(1), 3-41. DOI: https://doi.org/10.1207/s15516709cog0000_50
Hunt, J. McV. (1963). Motivation Inherent in Information Processing and Action. In: Motivation and Social Interaction: Cognitive Determinants. New York: Ronald.
Kaelbling LP. (1994). Associative reinforcement learning: a generate and test algorithm. Machine Learning 15, 299-319. DOI: https://doi.org/10.1007/BF00993348
Kahn, B. E. (1995). Consumer variety-seeking among goods and services: An integrative review. Journal of retailing and consumer services, 2(3), 139-148. DOI: https://doi.org/10.1016/0969-6989(95)00038-0
Kakade S, Dayan P. (2002). Dopamine: generalization and bonuses. Neural Networks 15, 549–559. DOI: https://doi.org/10.1016/S0893-6080(02)00048-5
Kerr, M.; Stattin, H. (2000). What parents know, how they know it, and several forms of adolescents Adjustment: Further evidence for a reinterpretation of monitoring. Dev. Psychol, 36, 366–380. DOI: https://doi.org/10.1037//0012-1649.36.3.366
Kidd, C., & Hayden, B. Y. (2015). The Psychology and Neuroscience of Curiosity. Neuron, 88(3), 449–460. DOI: https://doi.org/10.1016/j.neuron.2015.09.010
Kidd, C., Piantadosi, S. T., & Aslin, R. N. (2012). The Goldilocks effect: human infants allocate Attention to visual sequences that are neither too simple nor too complex. PloS One, 7(5), E36399. DOI: https://doi.org/10.1371/journal.pone.0036399
Laird, R.D.; Criss, M.M.; Pettit, G.S.; Dodge, K.A.; Bates, J.E. Parents’ monitoring knowledge Attenuates the link between antisocial friends and adolescent delinquent behavior. J. Abnorm. Child Psychol. 2008, 36, 299–310 DOI: https://doi.org/10.1007/s10802-007-9178-4
Lehman, J., & Stanley, K. O. (2011). Abandoning objectives: Evolution through the search For novelty alone. Evolutionary Computation, 19(2), 189–223. DOI: https://doi.org/10.1162/EVCO_a_00025
Lejarraga, T., Dutt, V., & Gonzalez, C. (2012). Instance‐based learning: A general model of repeated binary choice. Journal of Behavioral Decision Making, 25(2), 143-153. DOI: https://doi.org/10.1002/bdm.722
Li, X.L.; Feigelman, B.S.; Stanton, S.F. (2000). Impact of perceived parental monitoring on adolescent Risk behavior over 4 years. J. Adolesc. Health 2000, 27, 49–56. DOI: https://doi.org/10.1016/S1054-139X(00)00092-6
Ligneul, R., Mermillod, M., & Morisseau, T. (2018). From relief to surprise: Dual control of Epistemic curiosity in the human brain. NeuroImage, 181, 490–500. DOI: https://doi.org/10.1016/j.neuroimage.2018.07.038
Litman, J. A. (2005). Curiosity and the pleasures of learning: Wanting and liking new information. Cognition and Emotion, 19(6), 793–814. DOI: https://doi.org/10.1080/02699930541000101
Litman, J. A. (2007). Curiosity as a feeling of interest and feeling of deprivation: the I / D model of curiosity. 149–156.
Litman, J. A. (2010). Relationships between measures of I- and D-type curiosity, Ambiguity tolerance, and need for closure: An initial test of the wanting-liking DOI: https://doi.org/10.1016/j.paid.2009.11.005
Loewenstein, G. (1994). The psychology of curiosity: A review and reinterpretation. Psychological bulletin, 116(1), 75. DOI: https://doi.org/10.1037//0033-2909.116.1.75
Longmore, M.A.; Manning, W.D.; Giordano, P.C. (2001). Preadolescent parenting strategies and teens’ Dating and sexual initiation: A longitudinal analysis. J. Marriage Fam, 63, 322–335. DOI: https://doi.org/10.1111/j.1741-3737.2001.00322.x
Luyckx, K.; Tildeley, E.A.; Soenens, B.; Andrews, J.A.; Hampson, S.E.; Peterson, M.; Duriez, B. (2011). Parenting and trajectories of children’s maladaptive behaviors: A 12-year prospective community study. J. Clin. Child Adolesc. Psychol, 40, 468–478. DOI: https://doi.org/10.1080/15374416.2011.563470
Marvin, C. B., & Shohamy, D. (2016). Curiosity and reward: Valence predicts choice and information prediction errors enhance learning. Journal of Experimental Psychology. General, 145(3), 266–272. DOI: https://doi.org/10.1037/xge0000140
Muller, J. (2014). What impact has dopamine had on human evolution?
McGillivray, S., Murayama, K., & Castel, A. D. (2015). Thirst for knowledge: The effects of Curiosity and interest on memory in younger and older adults. Psychology and Aging, 30(4), 835–841. DOI: https://doi.org/10.1037/a0039801
Montessori, M. (1948/2004). The Discovery of the Child. Aakar Books. McReynolds, Paul (1971), “The Nature and Assessment of Intrinsic Motivation,” in Advances in Psychological Assessment, Vol. 2, ed. Paul McReynolds, Palo Alto, CA: Science and Behavior Books, 157-177.
Narayanan, R., Rajasekaran N. N., & Iyyappan, S. (2007). Do female students have higher motivation than male students in learning of English at the tertiary level? Retrieved fromhttp://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_ nfpb=true&_&ERICExtSearch_SearchValue_0=ED496970&ERICExtSearch_SearchType_0=no&accno=ED496970
Oudeyer, P.-Y., Go ttlieb, J., & Lopes, M. (2016). Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies. Progress in Brain Research, 229, 257–284. DOI: https://doi.org/10.1016/bs.pbr.2016.05.005
Parker, J.S.; Benson, M.J. (2004). Parent-adolescent relations and adolescent relations and adolescent Functioning: Self-esteem, substance abuse, and delinquency. Adolescence, 39, 519–531.
Pennartz, C. M., Berke, J. D., Graybiel, A. M., Ito, R., Lansink, C. S., Van Der Meer, M., … & Voorn, P. (2009). Corticostriatal interactions during learning, memory processing, and decision making. Journal of Neuroscience, 29(41), 12831-12838. DOI: https://doi.org/10.1523/JNEUROSCI.3177-09.2009
Phillips, C. B., & Pappalardo, R. T. (2014). Europa Clipper mission concept: Exploring Jupiter’s ocean moon. Eos, Transactions American Geophysical Union, 95(20), 165-167. DOI: https://doi.org/10.1002/2014EO200002
Pisula, W., Turlejski, K., & Charles, E. P. (2013). Comparative psychology as unified psychology: The case of curiosity and other novelty-related behavior. Review of General Psychology, 17(2), 224–229. DOI: https://doi.org/10.1037/a0032938
Prachi E. Shah, Heidi M. Weeks, Blair Richards, Niko Kaciroti, (2018). Early childhood curiosity and kindergarten reading and math academic achievement. Pediatric Research,
Querido, J.G.; Warner, T.D.; Eyberg, S.M. (2002). Parenting styles and child behavior in African American families of preschool children. J. Clin. Child Psychol, 31, 272–277. DOI: https://doi.org/10.1207/153744202753604548
Reio Jr, T. G., & Sanders‐Reio, J. (2020). Curiosity and well‐being in emerging adulthood. New Horizons in Adult Education and Human Resource Development, 32(1), 17-27. DOI: https://doi.org/10.1002/nha3.20270
Rose, A.; Koo, H.P.; Bhaskar, M.; Anderson, K.; White, G.; Jenkins, R. (2005) The influence of primary Caregivers on the sexual behavior of early adolescents. J. Adolesc. Health, 37, 135–144. DOI: https://doi.org/10.1016/j.jadohealth.2005.02.009
Schacter, D. L., Addis, D. R., Hassabis, D., Martin, V. C., Spreng, R. N., & Szpunar, K. K. (2012). The future of memory: remembering, imagining, and the brain. Neuron, 76(4), 677-694. DOI: https://doi.org/10.1016/j.neuron.2012.11.001
Schulz, L. (2012). The origins of inquiry: inductive inference and exploration in early childhood. Trends in Cognitive Sciences, 16(7), 382–389. DOI: https://doi.org/10.1016/j.tics.2012.06.004
Schulz, L. E., & Bonawitz, E. B. (2007). Serious fun: Preschoolers engage in more exploratory Play when evidence is confounded. Developmental Psychology, 43, 1045–1050. DOI: https://doi.org/10.1037/0012-1649.43.4.1045
Schwartz, R. S., Lederman, N. G., & Crawford, B. A. (2004). Developing views of nature of science in an authentic context: An explicit approach to bridging the gap between nature of science and scientific inquiry. Science education, 88(4), 610-645. DOI: https://doi.org/10.1002/sce.10128
Shang, I. W. (1998). An analysis of the relationships between goal perspectives, perceived learning environment, and intrinsic motivation by skill levels and gender in adolescent boys and girls in Taiwan, Republic of China. New York: Applied Image Inc..
Shohamy, D., & Adcock, R. A. (2010). Dopamine and adaptive memory. Trends in cognitive sciences, 14(10), 464-472. DOI: https://doi.org/10.1016/j.tics.2010.08.002
Simons, L.G.; Conger, R.D. (2007). Linking mother-father differences in parenting to a typology of Family parenting styles and adolescent outcomes. J. Fam. Issues, 28, 212–241. DOI: https://doi.org/10.1177/0192513X06294593
Simons, R.L.; Lin, K.; Gordon, L.C.; Brody, G.; Murry, V.; Conger, R.D. (2002). Community contextual Differences in the effect of parental behavior on child conduct problems: A multilevel analysis With African American samples. J. Marriage Fam, 64, 331–345. DOI: https://doi.org/10.1111/j.1741-3737.2002.00331.x
Somerville, L. H., Sasse, S. F., Garrad, M. C., Drysdale, A. T., Abi Akar, N., Insel, C., & Wilson, R. C. (2017). Charting the expansion of strategic exploratory behavior during adolescence. Journal of experimental psychology: general, 146(2), 155. DOI: https://doi.org/10.1037/xge0000250
Sutton R, Barto A. (1998a). Reinforcement Learning. An Introduction. Cambridge, MA: MIT Press. DOI: https://doi.org/10.1109/TNN.1998.712192
Teodorescu, K., & Erev, I. (2014). Learned helplessness and learned prevalence: Exploring the causal relations among perceived controllability, reward prevalence, and exploration. Psychological science, 25(10), 1861-1869. DOI: https://doi.org/10.1177/0956797614543022
Teodorescu, K., & Erev, I. (2014). On the decision to explore new alternatives: The coexistence of under‐and over‐exploration. Journal of Behavioral Decision Making, 27(2), 109-123. DOI: https://doi.org/10.1002/bdm.1785
Tlauka, M., Brolese, A., Pomeroy, D., & Hobbs, W. (2005). Gender differences in spatial knowledge acquired through simulated exploration of a virtual shopping centre. Journal of Environmental Psychology, 25(1), 111-118. DOI: https://doi.org/10.1016/j.jenvp.2004.12.002
Tosun, C. (2018). Effect of gender on levels of curiosity towards scenarios prepared within the scope of the “Matter and Change” unit at the 5th grade. Pamukkale Üniversitesi Eğitim Fakültesi Dergisi, 44(44), 1-14. DOI: https://doi.org/10.9779/PUJE.2018.202
Voss, J. L., Gonsalves, B. D., Federmeier, K. D., Tranel, D., & Cohen, N. J. (2011). Hippocampal brain-network coordination during volitional exploratory behavior enhances learning. Nature neuroscience, 14(1), 115-120.
Voss, J. L., Gonsalves, B. D., Federmeier, K. D., Tranel, D., & Cohen, N. J. (2011). Hippocampal brain-network coordination during volitional exploratory behavior enhances learning. Nature neuroscience, 14(1), 115-120. DOI: https://doi.org/10.1038/nn.2693
Wang, J. X., Cohen, N. J., & Voss, J. L. (2015). Covert rapid action-memory simulation (CRAMS): A hypothesis of hippocampal–prefrontal interactions for adaptive behavior. Neurobiology of learning and memory, 117, 22-33. DOI: https://doi.org/10.1016/j.nlm.2014.04.003
Warren, C. M., Wilson, R. C., Van Der Wee, N. J., Giltay, E. J., Van Noorden, M. S., Cohen, J. D., & Nieuwenhuis, S. (2017). The effect of atomoxetine on random and directed exploration in humans. PloS one, 12(4), e0176034. DOI: https://doi.org/10.1371/journal.pone.0176034
Wilson, E., Engebrecht-Metzger, C., Horowitz, S., & Hendron, R. (2014). 2014 building America house simulation protocols (No. NREL/TP-5500-60988). National Renewable Energy Lab.(NREL), Golden, CO (United States). DOI: https://doi.org/10.2172/1126820
Wohlwill, J. F. (1981). A conceptual analysis of exploratory behavior: The “specific-diversive” distinction revisited. In: Advances in Intrinsic Motivation and Aesthetics. New York: Plenum Press. DOI: https://doi.org/10.1007/978-1-4613-3195-7_14
Zajkowski, W. K., Kossut, M., & Wilson, R. C. (2017). A causal role for right frontopolar cortex in directed, but not random, exploration. Elife, 6, e27430. DOI: https://doi.org/10.7554/eLife.27430