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Cited by 209Education, Achievement, and GiftednessEducation during COVID-19 pandemicOnline Learning Methods and Innovations

Parents’ perceptions of student academic motivation during the COVID-19 lockdown: a cross-country comparison.

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Zaccoletti, Sonia, Camacho, Ana, Correia, Nadine, Aguiar, Cecília, Mason, Lucia, Alves, Rui A., Daniel, João R.·2020·Frontiers in Psychology
DOI 10.3389/fpsyg.2020.592670PMC PMC7775314
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Abstract

The COVID-19 outbreak has ravaged all societal domains, including education. Home confinement, school closures, and distance learning impacted students, teachers, and parents’ lives worldwide. In this study, we aimed to examine the impact of COVID-19-related restrictions on Italian and Portuguese students’ academic motivation as well as investigate the possible buffering role of extracurricular activities. Following a retrospective pretest–posttest design, 567 parents ( n Italy = 173, n Portugal = 394) reported on their children’s academic motivation and participation in extracurricular activities (grades 1 to 9). We used a multi-group latent change score model to compare Italian and Portuguese students’: (1) pre-COVID mean motivation scores; (2) rate of change in motivation; (3) individual variation in the rate of change in motivation; and (4) dependence of the rate of change on initial motivation scores. Estimates of latent change score models showed a decrease in students’ motivation both in Italy and in Portugal, although more pronounced in Italian students. Results also indicated that the decrease in students’ participation in extracurricular activities was associated with changes in academic motivation (i.e., students with a lower decrease in participation in extracurricular activities had also a lower decrease in motivation). Furthermore, students’ age was significantly associated with changes in motivation (i.e., older students had lower decrease). No significant associations were found for students’ gender nor for parents’ education. This study provides an important contribution to the study of students’ academic motivation during home confinement, school closures, and distance learning as restrictive measures adopted to contain a worldwide health emergency. We contend that teachers need to adopt motivation-enhancing practices as means to prevent the decline in academic motivation during exceptional situations.

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Research works printed but not linked: 52

  1. Anderman E. M. Dawson H. (2011). “ Learning and motivation,” in Handbook of Research on Learning and Instruction, eds Alexander P. A. Mayer R. (New York, NY: Routledge), 219– 241.
  2. Archambault I. Janosz M. Morizot J. Pagani L. (2009). Adolescent behavioral, affective, and cognitive engagement in school: relationship to dropout. J. Sch. Health 79 408– 415. 10.1111/j.1746-1561.2009.00428.x 19691715 · DOI
  3. Bugler M. McGeown S. P. St Clair-Thompson H. (2015). Gender differences in adolescents’ academic motivation and classroom behaviour. Educ. Psychol. 35 541– 556. 10.1080/01443410.2013.849325 · DOI
  4. Cachón-Zagalaz J. Sánchez-Zafra M. Sanabrias-Moreno D. González-Valero G. Lara-Sánchez A. J. Zagalaz-Sánchez M. L. (2020). Systematic review of the literature about the effects of the COVID-19 pandemic on the lives of school children. Front. Psychol. 11: 569348. 10.3389/fpsyg.2020.569348 33162910 PMC7591583 · DOI
  5. Camacho A. Alves R. A. Boscolo P. (2020). Writing motivation in school: a systematic review of empirical research in the early twenty-first century. Educ. Psychol. Rev. 10.1007/s10648-020-09530-4 · DOI
  6. Crain R. L. (1981). Making desegregation work: extracurricular activities. Urban Rev. 13 121– 127. 10.1007/BF01956013 · DOI
  7. Darling N. Caldwell L. L. Smith R. (2005). Participation in school-based extracurricular activities and adolescent adjustment. J. Leis. Res. 37 51– 76. 10.1080/00222216.2005.11950040 · DOI
  8. De Naeghel J. Van Keer H. Vansteenkiste M. Rosseel Y. (2012). The relation between elementary students’ recreational and academic reading motivation, reading frequency, engagement, and comprehension: a self-determination theory perspective. J. Educ. Psychol. 104 1006– 1021. 10.1037/a0027800 · DOI
  9. Dinkelmann I. Buff A. (2016). Children’s and parents’ perceptions of parental support and their effects on children’s achievement motivation and achievement in mathematics. a longitudinal predictive mediation model. Learn. Individ. Dif. 50 122– 132. 10.1016/j.lindif.2016.06.029 · DOI
  10. Eccles J. S. (2005). Influences of parents’ education on their children’s educational attainments: the role of parent and child perceptions. Lond. Rev. of Educ. 3 191– 204. 10.1080/14748460500372309 · DOI
  11. Fredricks J. A. Simpkins S. D. (2013). Organized out-of-school activities and peer relationships: theoretical perspectives and previous research. New Dir. Child Adolesc. Dev. 140 1– 17. 10.1002/cad.20034 23766093 · DOI
  12. Gatto M. Bertuzzo E. Mari L. Miccoli S. Carraro L. Casagrandi R. (2020). Spread and dynamics of the covid-19 epidemic in italy: effects of emergency containment measures. Proc. Natl. Acad. Sci. U.S.A. 117 1– 8. 10.1073/pnas.2004978117 32327608 PMC7229754 · DOI
  13. Gilger J. W. (1992). Using self-report and parental-report survey data to assess past and present academic achievement of adults and children. J. Appl. Dev. Psychol. 13 235– 256. 10.1016/0193-3973(92)90031-C · DOI
  14. Gilman R. Meyers J. Perez L. (2004). Structured extracurricular activities among adolescents: findings and implications for school psychologists. Psychol. Sch. 41 31– 41. 10.1002/pits.10136 · DOI
  15. Gluncic V. Pulanic D. Prka M. Marušic A. Marušic M. (2001). Curricular and extracurricular activities of medical students during war. Acad. Med. 76 1991– 1995. 11221772
  16. Gottfried A. E. (1990). Academic intrinsic motivation in young elementary school children. J. Educ. Psychol. 82 525– 538. 10.1037/0022-0663.82.3.525 · DOI · Paper page
  17. Grolnick W. S. Friendly R. W. Bellas V. M. (2009). “ Parenting and children’s motivation at school,” in Handbook of Motivation at School, eds Wenzel K. R. Wigfield A. (New York, NY: Routledge), 279– 300.
  18. Guay F. Ratelle C. F. Chanal J. (2008). Optimal learning in optimal contexts: the role of self-determination in education. Can. Psychol. 49 233– 240. 10.1037/a0012758 · DOI
  19. Guèvremont A. Findlay L. Kohen D. (2008). Organized extracurricular activities of Canadian children and youth. Health Rep. 19 65– 69. 18847147
  20. Harris K. Graham S. Mason L. (2006). Improving the writing, knowledge, and motivation of struggling young writers: effects of self-regulated strategy development with and without peer support. Am. Educ. Res. J. 43 295– 340. 10.3102/00028312043002295 · DOI
  21. Hiraoka D. Tomoda A. (2020). Relationship between parenting stress and school closures due to the COVID-19 pandemic. Psychiatry Clin. Neurosci. 74 497– 498. 10.1111/pcn.13088 32779846 PMC7323183 · DOI
  22. Im M. H. Hughes J. N. Cao Q. Kwok O.-M. (2016). Effects of extracurricular participation during middle school on academic motivation and achievement at grade 9. Am. Educ. Res. J. 53 1343– 1375. 10.3102/0002831216667479 30381774 PMC6205243 · DOI
  23. Kievit R. A. Brandmaier A. M. Ziegler G. van Harmelen A.-L. de Mooij S. M. M. Moutoussis M. (2018). Developmental cognitive neuroscience using latent change score models: a tutorial and applications. Dev. Cogn. Neurosci. 33 99– 117. 10.1016/j.dcn.2017.11.007 29325701 PMC6614039 · DOI · Paper page
  24. Klingman A. (1987). A school-based emergency crisis intervention in a mass school disaster. Prof. Psychol. Res. Pract. 18 604– 612. 10.1037/0735-7028.18.6.604 · DOI
  25. Kriegbaum K. Jansen M. Spinath B. (2015). Motivation: a predictor of PISA’s mathematical competence beyond intelligence and prior test achievement. Learn. Individ. Dif. 43 140– 148. 10.1016/j.lindif.2015.08.026 · DOI
  26. Lai E. R. (2011). Motivation: A Literature Review Research Report. Pearson Research Report. Available online at: http://images.pearsonassessments.com/images/tmrs/Motivation_Review_final.pdf (accessed July 24, 2020).
  27. Larson R. W. Verma S. (1999). How children and adolescents spend time across the world: work, play, and developmental opportunities. Psychol. Bull. 125 701– 736. 10.1037/0033-2909.125.6.701 10589300 · DOI · Paper page
  28. Lazowski R. A. Hulleman C. S. (2016). Motivation interventions in education: a meta-analytic review. Rev. Educ. Res. 86 602– 640. 10.3102/0034654315617832 · DOI · Paper page
  29. Little T. D. Chang R. Gorrall B. K. Waggenspack L. Fukuda E. Allen P. J. (2020). The retrospective pretest-posttest design redux: on its validity as an alternative to traditional pretest-posttest measurement. Int. J. Behav. Dev. 44 175– 183. 10.1177/0165025419877973 · DOI
  30. Mahoney J. L. (2000). School extracurricular activity participation as a moderator in the development of antisocial patterns. Child Dev. 71 502– 516. 10.1111/1467-8624.00160 10834480 · DOI
  31. Mahoney J. L. Lord H. Carryl E. (2005). Afterschool program participation and the development of child obesity and peer acceptance. Appl. Dev. Sci. 9 202– 215. 10.1207/s1532480xads0904_3 · DOI
  32. Meece J. L. Glienke B. B. Burg S. (2006). Gender and motivation. J. Sch. Psychol. 44 351– 373. 10.1016/j.jsp.2006.04.004 · DOI
  33. Murphy P. K. Alexander P. A. (2000). A motivated exploration of motivation terminology. Contemp. Educ. Psychol. 25 3– 53. 10.1006/ceps.1999.1019 10620380 · DOI
  34. Newman J. Bidjerano T. Özdoðru A. A. Chin-Cheng K. Özköse-Bıyık Ç. Johnson J. J. (2007). What do they usually do after school? J. Early Adolesc. 27 431– 456. 10.1177/0272431607302937 · DOI
  35. Owens J. S. Allan D. M. Kassab H. Mikami A. Y. (2020). Evaluating a short form of the academic competence evaluation scales: expanded examination of psychometric properties. Sch. Ment. Health 12 38– 52. 10.1007/s12310-019-09347-9 · DOI
  36. Pepi A. Faria L. Alesi M. (2006). Personal conceptions of intelligence, self-esteem, and school achievement in Italian and Portuguese students. Adolescence 41 615– 631. 17240770
  37. Saçkes M. I??ıtan S. Avci K. Justice L. M. (2016). Parents’ perceptions of children’s literacy motivation and their home-literacy practices: What’s the connection? Eur. Early Child. Educ. Res. J. 24 857– 872. 10.1080/1350293X.2014.996422 · DOI
  38. Sameroff A. (2010). A unified theory of development: a dialectic integration of nature and nurture. Child Dev. 81 6– 22. 10.1111/j.1467-8624.2009.01378.x 20331651 · DOI · Paper page
  39. Schunk D. H. Pintrich P. R. (2002). Motivation in Education: Theory, Research, and Applications, 2nd Edn Upper Saddle River, NJ: Prentice Hall.
  40. Sebastiani G. Massa M. Riboli E. (2020). Covid-19 epidemic in Italy: evolution, projections and impact of government measures. Eur. J. Epidemiol. 35 341– 345. 10.1007/s10654-020-00631-6 32306149 PMC7165256 · DOI
  41. Trung T. Hoang A.-D. Nguyen T. T. Dinh V.-H. Nguyen Y.-C. Pham H.-H. (2020). Dataset of Vietnamese student’s learning habits during COVID-19. Data Brief. 30 105682. 10.1016/j.dib.2020.105682 32395572 PMC7207136 · DOI
  42. Vallerand R. J. Ratelle C. F. (2002). “ Intrinsic and extrinsic motivation: a hierarchical model,” in Handbook of Self-Determination Research, eds Deci E. L. Ryan R. M. (Rochester, NY: University of Rochester Press), 37– 63.
  43. Van Etten S. Pressley M. McInerney D. M. Liem A. D. (2008). College seniors’ theory of their academic motivation. J. Educ. Psychol. 100 812– 828. 10.1037/0022-0663.100.4.812 · DOI
  44. van Tetering M. A. J. de Groot R. H. M. Jolles J. (2018). Teacher-evaluated self-regulation is related to school achievement and influenced by parental education in schoolchildren aged 8–12: a case–control study. Front. Psychol. 9: 438. 10.3389/fpsyg.2018.00438 29670557 PMC5893787 · DOI
  45. Wallhead T. L. Hagger M. Smith D. T. (2010). Sport education and extracurricular sport participation: an examination using the trans-contextual model of motivation. Res. Q. Exerc. Sport 81 442– 455. 10.5641/027013610X13088600029256 21268468 · DOI
  46. Wang M. T. Brinkworth M. E. Eccles J. S. (2013). The moderation effect of teacher–student relationship on the association between adolescents’ self-regulation ability, family conflict, and developmental problems. Dev. Psychol. 49 690– 705. 10.1037/a0027916 22582833 · DOI
  47. Wang M.-T. Eccles J. S. (2013). School context, achievement motivation, and academic engagement: a longitudinal study of school engagement using a multidimensional perspective. Learn. Instr. 28 12– 23. 10.1016/j.learninstruc.2013.04.002 · DOI
  48. Wentzel K. R. Wigfield A. (2009). “ Introduction,” in Handbook of Motivation at School, eds Wenzel K. R. Wigfield A. (New York, NY: Routledge), 1– 8.
  49. Wickham H. (2016). ggplot2: Elegant Graphics for Data Analysis. New York: Springer-Verlag Available online at: https://ggplot2.tidyverse.org
  50. Yilmaz Soylu M. Zeleny M. G. Zhao R. Bruning R. H. Dempsey M. S. Kauffman D. F. (2017). Secondary students’ writing achievement goals: assessing the mediating effects of mastery and performance goals on writing self-efficacy, affect, and writing achievement. Front. Psychol. 8: 1406. 10.3389/fpsyg.2017.01406 28878707 PMC5573427 · DOI
  51. Zimmerman B. J. (1990). Self-regulated learning and academic achievement: an overview. Educ. Psychol. 25 3– 17. 10.1207/s15326985ep2501_2 · DOI · Paper page
  52. Zuckerman M. Porac J. Lathin D. Smith R. Deci E. L. (1978). On the importance of self-determination for intrinsically motivated behavior. Pers. Soc. Psychol. Bull. 4 443– 446. 10.1177/014616727800400317 · DOI · Paper page

Cited by

Sorted by citations

Authors
Zaccoletti, S., Camacho, A., Correia, N., Aguiar, C., Mason, L., Alves, R. A., & Daniel, J. R.
Affiliations
  • University of Padua (IT)
  • Universidade do Porto (PT)
  • Iscte – Instituto Universitário de Lisboa (PT)
  • ISPA - Instituto Universitário (PT)
Corresponding author
Zaccoletti, Sonia
ORCID
Venue
Frontiers in Psychology
Publisher
Frontiers Media SA
Published
2020-12-18
Volume
11
Pages
592670-592670
ISSN
1664-1078 (ISSN-L)
DOI
10.3389/fpsyg.2020.592670
PMC
PMC7775314
OpenAlex
W3109919393
Cited by
209
References
7
Citations by year
2026: 14 · 2025: 21 · 2024: 33 · 2023: 46 · 2022: 58 · 2021: 36 · 2020: 1
FWCI
32.05
Type
journal article
Language
en
Open access
Licence
Locations
  • Frontiers in Psychology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Repositório do ISCTE-IUL (submittedVersion, other-oa)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by-nd)
  • Padua Research Archive (University of Padova) (submittedVersion, cc-by)
Funders
  • Università degli Studi di Padova
  • Fundação para a Ciência e a Tecnologia (SFRH/BD/116281/2016, FCT/UIDB/04810/2020, UIDB/04810/2020)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
  • Social Sciences › Education › Education during COVID-19 pandemic
  • Social Sciences › Education › Online Learning Methods and Innovations
Keywords
academic motivation, COVID-19 lockdown, school closures, distance education, extracurricular activities, buffering effect, parental attitudes, Italian students, Portuguese students, cross-national comparison, age differences in motivation, motivation decline

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